The Experts below are selected from a list of 27978 Experts worldwide ranked by ideXlab platform

Jianzhong Wu - One of the best experts on this subject based on the ideXlab platform.

  • congestion management method of low voltage active distribution networks based on distribution locational marginal price
    IEEE Access, 2019
    Co-Authors: Jinli Zhao, Yushuo Wang, Guanyu Song, Peng Li, Chengshan Wang, Jianzhong Wu
    Abstract:

    Large-scale distributed energy resources, such as electric vehicles (EVs) asymmetric access to low-voltage distribution systems, may cause security problems, including line congestion, voltage violation, and three-phase unbalance. In this paper, a congestion management method of low-voltage active distribution networks is proposed. The soft open point, a flexible Power Electronic Device, is considered as a direct control means to solve the congestion problem first. A semidefinite programming model based on a symmetrical component method is constructed to optimize the operation strategy that can be efficiently solved to meet the demands of rapid centralized control. To guide the charging behaviors of flexible load represented by EVs, a market mechanism suitable for the low-voltage unbalanced network is further considered. Though linear approximation and sensitivity analysis, a pricing model of flexible load is established accounting for the effect of network loss, voltage variation, voltage three-phase unbalance, and line overload to distribution locational marginal price. Case studies are carried out on the modified IEEE 33-node and IEEE 123-node system to verify the effectiveness and efficiency of the proposed method.

  • optimal operation of soft open points in active distribution networks under three phase unbalanced conditions
    IEEE Transactions on Smart Grid, 2019
    Co-Authors: Peng Li, Jinli Zhao, Guanyu Song, Chengshan Wang, Fei Ding, Haoran Ji, Jianzhong Wu
    Abstract:

    The asymmetric integration of distributed generators (DGs) exacerbates the three-phase unbalanced condition in distribution systems. The serious unbalanced operation causes inefficient utilization of network assets and security risks in the system. Soft open point (SOP) is a flexible Power Electronic Device which can achieve accurate active and reactive Power flow control to balance the Power flow among phases. This paper proposes an SOPs-based operation strategy for unbalanced active distribution networks. By regulating the operation of SOPs, the strategy can reduce Power losses and simultaneously mitigate the three-phase unbalance of the upper-level grid. Semidefinite programming (SDP) relaxation is advocated to convert the original non-convex, nonlinear optimization model into an SDP formulation, which can be efficiently solved to meet the requirement of rapid adjustment. Case studies are conducted on the modified IEEE 33-node and IEEE 123-node distribution system to verify the effectiveness and efficiency of the proposed strategy.

  • Multi-objective operation optimization of an electrical distribution network with soft open point
    Applied Energy, 2017
    Co-Authors: Qi Qi, Jianzhong Wu, Chao Long
    Abstract:

    With the increasing amount of distributed generation (DG) integrated into electrical distribution networks, various operational problems, such as excessive Power losses, over-voltage and thermal overloading issues become gradually remarkable. Innovative approaches for Power flow and voltage controls are required to ensure the Power quality, as well as to accommodate large DG penetrations. Using Power Electronic Devices is one of the approaches. In this paper, a multi-objective optimization framework was proposed to improve the operation of a distribution network with distributed generation and a soft open point (SOP). An SOP is a distribution-level Power Electronic Device with the capability of real-time and accurate active and reactive Power flow control. A novel optimization method that integrates a Multi-Objective Particle Swarm Optimization (MOPSO) algorithm and a local search technique – the Taxi-cab method, was proposed to determine the optimal set-points of the SOP, where Power loss reduction, feeder load balancing and voltage profile improvement were taken as objectives. The local search technique is integrated to fine tune the non-dominated solutions obtained by the global search technique, overcoming the drawback of MOPSO in local optima trapping. Therefore, the search capability of the integrated method is enhanced compared to the conventional MOPSO algorithm. The proposed methodology was applied to a 69-bus distribution network. Results demonstrated that the integrated method effectively solves the multi-objective optimization problem, and obtains better and more diverse solutions than the conventional MOPSO method. With the DG penetration increasing from 0 to 200%, on average, an SOP reduces Power losses by 58.4%, reduces the load balance index by 68.3% and reduces the voltage profile index by 62.1%, all compared to the case without an SOP. Comparisons between SOP and network reconfiguration showed the outperformance of SOP in operation optimization.

  • Optimal operation of soft open points in medium voltage electrical distribution networks with distributed generation
    Applied Energy, 2016
    Co-Authors: Chao Long, Jianzhong Wu
    Abstract:

    A soft open point (SOP) is a Power Electronic Device, usually using back-to-back voltage source converters (VSCs), installed at a previously normally open point of a distribution network. Due to its flexible and accurate control of Power flows, an SOP is versatile, and increasingly being considered to mitigate voltage and thermal constraints in medium voltage (MV) networks with high penetrations of distributed generation (DG). A Jacobian matrix - based sensitivity method was used to define the operating region of an SOP when the grids/feeders at the two terminals of the SOP have various load and generation conditions, and the SOP operating region was visualized in a graphical manner. The exact operating set-points were determined by adopting a non-linear optimization considering separately different objectives. The methodology was demonstrated on an 11 kV network, considering three optimization objectives with different DG penetrations and different network observabilities. Results showed that the use of an SOP significantly increases the network's DG hosting capacity. The objective for voltage profile improvement increased the headroom of the voltage limits by the largest margin, at the expense of increased energy losses. In contrast the objectives to achieve line utilization balancing and energy loss minimization showed the most improvement in circuit utilization and in limiting energy losses. The work helps electricity network operators to visualize an SOP's operation status, and provides high level decision support, e.g. selecting control schemes and restraining SOP operational boundaries.

Chengshan Wang - One of the best experts on this subject based on the ideXlab platform.

  • congestion management method of low voltage active distribution networks based on distribution locational marginal price
    IEEE Access, 2019
    Co-Authors: Jinli Zhao, Yushuo Wang, Guanyu Song, Peng Li, Chengshan Wang, Jianzhong Wu
    Abstract:

    Large-scale distributed energy resources, such as electric vehicles (EVs) asymmetric access to low-voltage distribution systems, may cause security problems, including line congestion, voltage violation, and three-phase unbalance. In this paper, a congestion management method of low-voltage active distribution networks is proposed. The soft open point, a flexible Power Electronic Device, is considered as a direct control means to solve the congestion problem first. A semidefinite programming model based on a symmetrical component method is constructed to optimize the operation strategy that can be efficiently solved to meet the demands of rapid centralized control. To guide the charging behaviors of flexible load represented by EVs, a market mechanism suitable for the low-voltage unbalanced network is further considered. Though linear approximation and sensitivity analysis, a pricing model of flexible load is established accounting for the effect of network loss, voltage variation, voltage three-phase unbalance, and line overload to distribution locational marginal price. Case studies are carried out on the modified IEEE 33-node and IEEE 123-node system to verify the effectiveness and efficiency of the proposed method.

  • optimal operation of soft open points in active distribution networks under three phase unbalanced conditions
    IEEE Transactions on Smart Grid, 2019
    Co-Authors: Peng Li, Jinli Zhao, Guanyu Song, Chengshan Wang, Fei Ding, Haoran Ji, Jianzhong Wu
    Abstract:

    The asymmetric integration of distributed generators (DGs) exacerbates the three-phase unbalanced condition in distribution systems. The serious unbalanced operation causes inefficient utilization of network assets and security risks in the system. Soft open point (SOP) is a flexible Power Electronic Device which can achieve accurate active and reactive Power flow control to balance the Power flow among phases. This paper proposes an SOPs-based operation strategy for unbalanced active distribution networks. By regulating the operation of SOPs, the strategy can reduce Power losses and simultaneously mitigate the three-phase unbalance of the upper-level grid. Semidefinite programming (SDP) relaxation is advocated to convert the original non-convex, nonlinear optimization model into an SDP formulation, which can be efficiently solved to meet the requirement of rapid adjustment. Case studies are conducted on the modified IEEE 33-node and IEEE 123-node distribution system to verify the effectiveness and efficiency of the proposed strategy.

  • an enhanced socp based method for feeder load balancing using the multi terminal soft open point in active distribution networks
    Applied Energy, 2017
    Co-Authors: Chengshan Wang, Jinli Zhao, Guanyu Song, Fei Ding
    Abstract:

    The integration of distributed generators (DGs) exacerbates the feeder Power flow fluctuation and load unbalanced condition in active distribution networks (ADNs). The unbalanced feeder load causes inefficient use of network assets and network congestion during system operation. The flexible interconnection based on the multi-terminal soft open point (SOP) significantly benefits the operation of ADNs. The multi-terminal SOP, which is a controllable Power Electronic Device installed to replace the normally open point, provides accurate active and reactive Power flow control to enable the flexible connection of feeders. An enhanced SOCP-based method for feeder load balancing using the multi-terminal SOP is proposed in this paper. By regulating the operation of the multi-terminal SOP, the proposed method can mitigate the unbalanced condition of feeder load and simultaneously reduce the Power losses of ADNs. Then, the original non-convex model is converted into a second-order cone programming (SOCP) model using convex relaxation. To tighten the SOCP relaxation and improve the computation efficiency, an enhanced SOCP-based approach is developed to solve the proposed model. Finally, case studies are performed on the modified IEEE 33-node system to verify the effectiveness and efficiency of the proposed method.

  • coordinated control method of voltage and reactive Power for active distribution networks based on soft open point
    IEEE Transactions on Sustainable Energy, 2017
    Co-Authors: Chengshan Wang, Jinli Zhao, Guanyu Song, Fei Ding
    Abstract:

    The increasing penetration of distributed generators (DGs) exacerbates the risk of voltage violations in active distribution networks (ADNs). The conventional voltage regulation Devices limited by the physical constraints are difficult to meet the requirement of real-time voltage and VAR control (VVC) with high precision when DGs fluctuate frequently. However, soft open point (SOP), a flexible Power Electronic Device, can be used as the continuous reactive Power source to realize the fast voltage regulation. Considering the cooperation of SOP and multiple regulation Devices, this paper proposes a coordinated VVC method based on SOP for ADNs. First, a time-series model of coordinated VVC is developed to minimize operation costs and eliminate voltage violations of ADNs. Then, by applying the linearization and conic relaxation, the original nonconvex mixed-integer nonlinear optimization model is converted into a mixed-integer second-order cone programming model which can be efficiently solved to meet the requirement of voltage regulation rapidity. Case studies are carried out on the IEEE 33-node system and IEEE 123-node system to illustrate the effectiveness of the proposed method.

  • a hybrid optimization algorithm for distribution network coordinated operation with snop based on simulated annealing and conic programming
    Power and Energy Society General Meeting, 2016
    Co-Authors: Xuzhu Dong, Guanyu Song, Chengshan Wang
    Abstract:

    Soft normally open point (SNOP) is a novel Power Electronic Device installed in place of normally-open point. The application of SNOP will greatly promote the flexibility and controllability of distribution network. Considering the high investment of SNOP, both tie switch and SNOP should be taken into account in the coordinated operation problem of distribution network. Firstly, the optimization model for distribution network coordinated operation with SNOP and tie switch is proposed. Then, combining the simulated annealing method with conic programming, this paper proposes a hybrid optimization algorithm, involving simulated annealing method to obtain the switch states and conic programming to optimize the transmitted Power of SNOP. This hybrid algorithm can solve the above large-scale mixed-integer nonlinear problem accurately and rapidly, while satisfying the demand of distribution network coordinated operation. Finally, the IEEE 69-node system is used to demonstrate the effectiveness of the proposed hybrid algorithm.

Fei Ding - One of the best experts on this subject based on the ideXlab platform.

  • optimal operation of soft open points in active distribution networks under three phase unbalanced conditions
    IEEE Transactions on Smart Grid, 2019
    Co-Authors: Peng Li, Jinli Zhao, Guanyu Song, Chengshan Wang, Fei Ding, Haoran Ji, Jianzhong Wu
    Abstract:

    The asymmetric integration of distributed generators (DGs) exacerbates the three-phase unbalanced condition in distribution systems. The serious unbalanced operation causes inefficient utilization of network assets and security risks in the system. Soft open point (SOP) is a flexible Power Electronic Device which can achieve accurate active and reactive Power flow control to balance the Power flow among phases. This paper proposes an SOPs-based operation strategy for unbalanced active distribution networks. By regulating the operation of SOPs, the strategy can reduce Power losses and simultaneously mitigate the three-phase unbalance of the upper-level grid. Semidefinite programming (SDP) relaxation is advocated to convert the original non-convex, nonlinear optimization model into an SDP formulation, which can be efficiently solved to meet the requirement of rapid adjustment. Case studies are conducted on the modified IEEE 33-node and IEEE 123-node distribution system to verify the effectiveness and efficiency of the proposed strategy.

  • an enhanced socp based method for feeder load balancing using the multi terminal soft open point in active distribution networks
    Applied Energy, 2017
    Co-Authors: Chengshan Wang, Jinli Zhao, Guanyu Song, Fei Ding
    Abstract:

    The integration of distributed generators (DGs) exacerbates the feeder Power flow fluctuation and load unbalanced condition in active distribution networks (ADNs). The unbalanced feeder load causes inefficient use of network assets and network congestion during system operation. The flexible interconnection based on the multi-terminal soft open point (SOP) significantly benefits the operation of ADNs. The multi-terminal SOP, which is a controllable Power Electronic Device installed to replace the normally open point, provides accurate active and reactive Power flow control to enable the flexible connection of feeders. An enhanced SOCP-based method for feeder load balancing using the multi-terminal SOP is proposed in this paper. By regulating the operation of the multi-terminal SOP, the proposed method can mitigate the unbalanced condition of feeder load and simultaneously reduce the Power losses of ADNs. Then, the original non-convex model is converted into a second-order cone programming (SOCP) model using convex relaxation. To tighten the SOCP relaxation and improve the computation efficiency, an enhanced SOCP-based approach is developed to solve the proposed model. Finally, case studies are performed on the modified IEEE 33-node system to verify the effectiveness and efficiency of the proposed method.

  • coordinated control method of voltage and reactive Power for active distribution networks based on soft open point
    IEEE Transactions on Sustainable Energy, 2017
    Co-Authors: Chengshan Wang, Jinli Zhao, Guanyu Song, Fei Ding
    Abstract:

    The increasing penetration of distributed generators (DGs) exacerbates the risk of voltage violations in active distribution networks (ADNs). The conventional voltage regulation Devices limited by the physical constraints are difficult to meet the requirement of real-time voltage and VAR control (VVC) with high precision when DGs fluctuate frequently. However, soft open point (SOP), a flexible Power Electronic Device, can be used as the continuous reactive Power source to realize the fast voltage regulation. Considering the cooperation of SOP and multiple regulation Devices, this paper proposes a coordinated VVC method based on SOP for ADNs. First, a time-series model of coordinated VVC is developed to minimize operation costs and eliminate voltage violations of ADNs. Then, by applying the linearization and conic relaxation, the original nonconvex mixed-integer nonlinear optimization model is converted into a mixed-integer second-order cone programming model which can be efficiently solved to meet the requirement of voltage regulation rapidity. Case studies are carried out on the IEEE 33-node system and IEEE 123-node system to illustrate the effectiveness of the proposed method.

Jinli Zhao - One of the best experts on this subject based on the ideXlab platform.

  • congestion management method of low voltage active distribution networks based on distribution locational marginal price
    IEEE Access, 2019
    Co-Authors: Jinli Zhao, Yushuo Wang, Guanyu Song, Peng Li, Chengshan Wang, Jianzhong Wu
    Abstract:

    Large-scale distributed energy resources, such as electric vehicles (EVs) asymmetric access to low-voltage distribution systems, may cause security problems, including line congestion, voltage violation, and three-phase unbalance. In this paper, a congestion management method of low-voltage active distribution networks is proposed. The soft open point, a flexible Power Electronic Device, is considered as a direct control means to solve the congestion problem first. A semidefinite programming model based on a symmetrical component method is constructed to optimize the operation strategy that can be efficiently solved to meet the demands of rapid centralized control. To guide the charging behaviors of flexible load represented by EVs, a market mechanism suitable for the low-voltage unbalanced network is further considered. Though linear approximation and sensitivity analysis, a pricing model of flexible load is established accounting for the effect of network loss, voltage variation, voltage three-phase unbalance, and line overload to distribution locational marginal price. Case studies are carried out on the modified IEEE 33-node and IEEE 123-node system to verify the effectiveness and efficiency of the proposed method.

  • optimal operation of soft open points in active distribution networks under three phase unbalanced conditions
    IEEE Transactions on Smart Grid, 2019
    Co-Authors: Peng Li, Jinli Zhao, Guanyu Song, Chengshan Wang, Fei Ding, Haoran Ji, Jianzhong Wu
    Abstract:

    The asymmetric integration of distributed generators (DGs) exacerbates the three-phase unbalanced condition in distribution systems. The serious unbalanced operation causes inefficient utilization of network assets and security risks in the system. Soft open point (SOP) is a flexible Power Electronic Device which can achieve accurate active and reactive Power flow control to balance the Power flow among phases. This paper proposes an SOPs-based operation strategy for unbalanced active distribution networks. By regulating the operation of SOPs, the strategy can reduce Power losses and simultaneously mitigate the three-phase unbalance of the upper-level grid. Semidefinite programming (SDP) relaxation is advocated to convert the original non-convex, nonlinear optimization model into an SDP formulation, which can be efficiently solved to meet the requirement of rapid adjustment. Case studies are conducted on the modified IEEE 33-node and IEEE 123-node distribution system to verify the effectiveness and efficiency of the proposed strategy.

  • an enhanced socp based method for feeder load balancing using the multi terminal soft open point in active distribution networks
    Applied Energy, 2017
    Co-Authors: Chengshan Wang, Jinli Zhao, Guanyu Song, Fei Ding
    Abstract:

    The integration of distributed generators (DGs) exacerbates the feeder Power flow fluctuation and load unbalanced condition in active distribution networks (ADNs). The unbalanced feeder load causes inefficient use of network assets and network congestion during system operation. The flexible interconnection based on the multi-terminal soft open point (SOP) significantly benefits the operation of ADNs. The multi-terminal SOP, which is a controllable Power Electronic Device installed to replace the normally open point, provides accurate active and reactive Power flow control to enable the flexible connection of feeders. An enhanced SOCP-based method for feeder load balancing using the multi-terminal SOP is proposed in this paper. By regulating the operation of the multi-terminal SOP, the proposed method can mitigate the unbalanced condition of feeder load and simultaneously reduce the Power losses of ADNs. Then, the original non-convex model is converted into a second-order cone programming (SOCP) model using convex relaxation. To tighten the SOCP relaxation and improve the computation efficiency, an enhanced SOCP-based approach is developed to solve the proposed model. Finally, case studies are performed on the modified IEEE 33-node system to verify the effectiveness and efficiency of the proposed method.

  • coordinated control method of voltage and reactive Power for active distribution networks based on soft open point
    IEEE Transactions on Sustainable Energy, 2017
    Co-Authors: Chengshan Wang, Jinli Zhao, Guanyu Song, Fei Ding
    Abstract:

    The increasing penetration of distributed generators (DGs) exacerbates the risk of voltage violations in active distribution networks (ADNs). The conventional voltage regulation Devices limited by the physical constraints are difficult to meet the requirement of real-time voltage and VAR control (VVC) with high precision when DGs fluctuate frequently. However, soft open point (SOP), a flexible Power Electronic Device, can be used as the continuous reactive Power source to realize the fast voltage regulation. Considering the cooperation of SOP and multiple regulation Devices, this paper proposes a coordinated VVC method based on SOP for ADNs. First, a time-series model of coordinated VVC is developed to minimize operation costs and eliminate voltage violations of ADNs. Then, by applying the linearization and conic relaxation, the original nonconvex mixed-integer nonlinear optimization model is converted into a mixed-integer second-order cone programming model which can be efficiently solved to meet the requirement of voltage regulation rapidity. Case studies are carried out on the IEEE 33-node system and IEEE 123-node system to illustrate the effectiveness of the proposed method.

Guanyu Song - One of the best experts on this subject based on the ideXlab platform.

  • congestion management method of low voltage active distribution networks based on distribution locational marginal price
    IEEE Access, 2019
    Co-Authors: Jinli Zhao, Yushuo Wang, Guanyu Song, Peng Li, Chengshan Wang, Jianzhong Wu
    Abstract:

    Large-scale distributed energy resources, such as electric vehicles (EVs) asymmetric access to low-voltage distribution systems, may cause security problems, including line congestion, voltage violation, and three-phase unbalance. In this paper, a congestion management method of low-voltage active distribution networks is proposed. The soft open point, a flexible Power Electronic Device, is considered as a direct control means to solve the congestion problem first. A semidefinite programming model based on a symmetrical component method is constructed to optimize the operation strategy that can be efficiently solved to meet the demands of rapid centralized control. To guide the charging behaviors of flexible load represented by EVs, a market mechanism suitable for the low-voltage unbalanced network is further considered. Though linear approximation and sensitivity analysis, a pricing model of flexible load is established accounting for the effect of network loss, voltage variation, voltage three-phase unbalance, and line overload to distribution locational marginal price. Case studies are carried out on the modified IEEE 33-node and IEEE 123-node system to verify the effectiveness and efficiency of the proposed method.

  • optimal operation of soft open points in active distribution networks under three phase unbalanced conditions
    IEEE Transactions on Smart Grid, 2019
    Co-Authors: Peng Li, Jinli Zhao, Guanyu Song, Chengshan Wang, Fei Ding, Haoran Ji, Jianzhong Wu
    Abstract:

    The asymmetric integration of distributed generators (DGs) exacerbates the three-phase unbalanced condition in distribution systems. The serious unbalanced operation causes inefficient utilization of network assets and security risks in the system. Soft open point (SOP) is a flexible Power Electronic Device which can achieve accurate active and reactive Power flow control to balance the Power flow among phases. This paper proposes an SOPs-based operation strategy for unbalanced active distribution networks. By regulating the operation of SOPs, the strategy can reduce Power losses and simultaneously mitigate the three-phase unbalance of the upper-level grid. Semidefinite programming (SDP) relaxation is advocated to convert the original non-convex, nonlinear optimization model into an SDP formulation, which can be efficiently solved to meet the requirement of rapid adjustment. Case studies are conducted on the modified IEEE 33-node and IEEE 123-node distribution system to verify the effectiveness and efficiency of the proposed strategy.

  • an enhanced socp based method for feeder load balancing using the multi terminal soft open point in active distribution networks
    Applied Energy, 2017
    Co-Authors: Chengshan Wang, Jinli Zhao, Guanyu Song, Fei Ding
    Abstract:

    The integration of distributed generators (DGs) exacerbates the feeder Power flow fluctuation and load unbalanced condition in active distribution networks (ADNs). The unbalanced feeder load causes inefficient use of network assets and network congestion during system operation. The flexible interconnection based on the multi-terminal soft open point (SOP) significantly benefits the operation of ADNs. The multi-terminal SOP, which is a controllable Power Electronic Device installed to replace the normally open point, provides accurate active and reactive Power flow control to enable the flexible connection of feeders. An enhanced SOCP-based method for feeder load balancing using the multi-terminal SOP is proposed in this paper. By regulating the operation of the multi-terminal SOP, the proposed method can mitigate the unbalanced condition of feeder load and simultaneously reduce the Power losses of ADNs. Then, the original non-convex model is converted into a second-order cone programming (SOCP) model using convex relaxation. To tighten the SOCP relaxation and improve the computation efficiency, an enhanced SOCP-based approach is developed to solve the proposed model. Finally, case studies are performed on the modified IEEE 33-node system to verify the effectiveness and efficiency of the proposed method.

  • coordinated control method of voltage and reactive Power for active distribution networks based on soft open point
    IEEE Transactions on Sustainable Energy, 2017
    Co-Authors: Chengshan Wang, Jinli Zhao, Guanyu Song, Fei Ding
    Abstract:

    The increasing penetration of distributed generators (DGs) exacerbates the risk of voltage violations in active distribution networks (ADNs). The conventional voltage regulation Devices limited by the physical constraints are difficult to meet the requirement of real-time voltage and VAR control (VVC) with high precision when DGs fluctuate frequently. However, soft open point (SOP), a flexible Power Electronic Device, can be used as the continuous reactive Power source to realize the fast voltage regulation. Considering the cooperation of SOP and multiple regulation Devices, this paper proposes a coordinated VVC method based on SOP for ADNs. First, a time-series model of coordinated VVC is developed to minimize operation costs and eliminate voltage violations of ADNs. Then, by applying the linearization and conic relaxation, the original nonconvex mixed-integer nonlinear optimization model is converted into a mixed-integer second-order cone programming model which can be efficiently solved to meet the requirement of voltage regulation rapidity. Case studies are carried out on the IEEE 33-node system and IEEE 123-node system to illustrate the effectiveness of the proposed method.

  • a hybrid optimization algorithm for distribution network coordinated operation with snop based on simulated annealing and conic programming
    Power and Energy Society General Meeting, 2016
    Co-Authors: Xuzhu Dong, Guanyu Song, Chengshan Wang
    Abstract:

    Soft normally open point (SNOP) is a novel Power Electronic Device installed in place of normally-open point. The application of SNOP will greatly promote the flexibility and controllability of distribution network. Considering the high investment of SNOP, both tie switch and SNOP should be taken into account in the coordinated operation problem of distribution network. Firstly, the optimization model for distribution network coordinated operation with SNOP and tie switch is proposed. Then, combining the simulated annealing method with conic programming, this paper proposes a hybrid optimization algorithm, involving simulated annealing method to obtain the switch states and conic programming to optimize the transmitted Power of SNOP. This hybrid algorithm can solve the above large-scale mixed-integer nonlinear problem accurately and rapidly, while satisfying the demand of distribution network coordinated operation. Finally, the IEEE 69-node system is used to demonstrate the effectiveness of the proposed hybrid algorithm.