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Linquan Bai - One of the best experts on this subject based on the ideXlab platform.

  • optimal dispatch strategy for Integrated Energy Systems with cchp and wind power
    Applied Energy, 2017
    Co-Authors: Rufeng Zhang, Linquan Bai, Houhe Chen, Tao Jiang, Hantao Cui
    Abstract:

    Abstract With the increasing installed capacity of wind power and the interdependencies among multiple Energy sectors, optimal operation of Integrated Energy Systems (IES) with combined cooling, heating and power (CCHP) is becoming more important. This paper proposes an optimal dispatch strategy for IES with CCHP and wind power. Natural gas system is modeled and its security constraints are Integrated into the optimal dispatch model. The gas shift factor (GSF gas ) matrix for natural gas system is derived to quantify the impact of gas supply and load at each node on the gas flow through the pipelines so that the pipeline flow equation is linearized. The objective function of the optimization model is to minimize the total operation cost of IES. Then the model is transformed into mixed integer linear programming (MILP) formulation to improve the computation efficiency. Numerical case studies conducted demonstrate the lower operation cost of the proposed model facilitating wind power integration.

  • robust scheduling for wind Integrated Energy Systems considering gas pipeline and power transmission n 1 contingencies
    IEEE Transactions on Power Systems, 2017
    Co-Authors: Linquan Bai, Tao Jiang, Hongjie Jia
    Abstract:

    The security of natural gas network and the wind power uncertainty bring new challenges for power system operation. This letter develops a robust scheduling model for wind-Integrated Energy Systems with the considerations of both gas pipeline and power transmission N –1 contingencies. The proposed method is robust against wind power uncertainty to ensure that the system can sustain possible N –1 contingency event of gas pipeline or power transmission line. Case studies demonstrate the effectiveness of the proposed model.

  • Security-constrained bi-level economic dispatch model for Integrated natural gas and electricity Systems considering wind power and power-to-gas process
    Applied Energy, 2017
    Co-Authors: Guoqing Li, Linquan Bai, Rufeng Zhang, Houhe Chen, Tao Jiang, Xiaojing Li
    Abstract:

    Abstract Worldwide natural gas consumption has increased significantly, especially for power generation in electricity Systems with the gas-to-power (G2P) process of natural gas fired units. Supply for both natural gas and electricity Systems should be dispatched economically and simultaneously due to their firm interconnection. This paper proposes a security-constrained bi-level economic dispatch (ED) model for Integrated natural gas and electricity Systems considering wind power and power-to-gas (P2G) process. The upper level is formulated as an ED optimization model for electricity system, while the lower level is an optimal allocation problem for natural gas system. Natural gas system is modeled in detail. In addition, the security constraints and coupling constraints for the Integrated Energy Systems are considered. The objective function is to minimize the total production cost of electricity and natural gas. The lower model is converted and added into the upper model as Karush-Kuhn-Tucher (KKT) optimality conditions, thus the bi-level optimization model is transformed into a mix-integer linear programming (MILP) formulation. Numerical case studies on the PJM-5bus system Integrated with a seven-node gas system and IEEE 118-bus system Integrated with a modified Belgian high-calorific gas system demonstrate the effectiveness of the proposed bi-level ED model.

  • interval optimization based operating strategy for gas electricity Integrated Energy Systems considering demand response and wind uncertainty
    Applied Energy, 2016
    Co-Authors: Linquan Bai, Tao Jiang, Hantao Cui, Hongbin Sun, Jinxiang Zhu
    Abstract:

    Abstract In the United States, natural gas-fired generators gained increasing popularity in recent years due to the low fuel cost and emission, as well as the proven large gas reserves. Consequently, the highly interdependency between the gas and electricity networks is needed to be considered in the system operation. To improve the overall system operation and optimize the Energy flow, an interval optimization based coordinated operating strategy for the gas-electricity Integrated Energy system (IES) is proposed in this paper considering demand response and wind power uncertainty. In the proposed model, the gas and electricity infrastructures are modeled in detail and their operation constraints are fully considered, wherein the nonlinear characteristics are modeled including pipeline gas flow and compressors. Then a demand response program is incorporated into the optimization model and its effects on the IES operation are investigated. Based on interval mathematics, wind power uncertainty is represented as interval numbers instead of probability distributions. A case study is performed on a six-bus electricity network with a seven-node gas network to demonstrate the effectiveness of the proposed method; further, the IEEE 118-bus system coupling with a 14-node natural gas system is used to verify its applicability in practical bulk Systems.

Tao Jiang - One of the best experts on this subject based on the ideXlab platform.

  • optimal dispatch strategy for Integrated Energy Systems with cchp and wind power
    Applied Energy, 2017
    Co-Authors: Rufeng Zhang, Linquan Bai, Houhe Chen, Tao Jiang, Hantao Cui
    Abstract:

    Abstract With the increasing installed capacity of wind power and the interdependencies among multiple Energy sectors, optimal operation of Integrated Energy Systems (IES) with combined cooling, heating and power (CCHP) is becoming more important. This paper proposes an optimal dispatch strategy for IES with CCHP and wind power. Natural gas system is modeled and its security constraints are Integrated into the optimal dispatch model. The gas shift factor (GSF gas ) matrix for natural gas system is derived to quantify the impact of gas supply and load at each node on the gas flow through the pipelines so that the pipeline flow equation is linearized. The objective function of the optimization model is to minimize the total operation cost of IES. Then the model is transformed into mixed integer linear programming (MILP) formulation to improve the computation efficiency. Numerical case studies conducted demonstrate the lower operation cost of the proposed model facilitating wind power integration.

  • robust scheduling for wind Integrated Energy Systems considering gas pipeline and power transmission n 1 contingencies
    IEEE Transactions on Power Systems, 2017
    Co-Authors: Linquan Bai, Tao Jiang, Hongjie Jia
    Abstract:

    The security of natural gas network and the wind power uncertainty bring new challenges for power system operation. This letter develops a robust scheduling model for wind-Integrated Energy Systems with the considerations of both gas pipeline and power transmission N –1 contingencies. The proposed method is robust against wind power uncertainty to ensure that the system can sustain possible N –1 contingency event of gas pipeline or power transmission line. Case studies demonstrate the effectiveness of the proposed model.

  • Security-constrained bi-level economic dispatch model for Integrated natural gas and electricity Systems considering wind power and power-to-gas process
    Applied Energy, 2017
    Co-Authors: Guoqing Li, Linquan Bai, Rufeng Zhang, Houhe Chen, Tao Jiang, Xiaojing Li
    Abstract:

    Abstract Worldwide natural gas consumption has increased significantly, especially for power generation in electricity Systems with the gas-to-power (G2P) process of natural gas fired units. Supply for both natural gas and electricity Systems should be dispatched economically and simultaneously due to their firm interconnection. This paper proposes a security-constrained bi-level economic dispatch (ED) model for Integrated natural gas and electricity Systems considering wind power and power-to-gas (P2G) process. The upper level is formulated as an ED optimization model for electricity system, while the lower level is an optimal allocation problem for natural gas system. Natural gas system is modeled in detail. In addition, the security constraints and coupling constraints for the Integrated Energy Systems are considered. The objective function is to minimize the total production cost of electricity and natural gas. The lower model is converted and added into the upper model as Karush-Kuhn-Tucher (KKT) optimality conditions, thus the bi-level optimization model is transformed into a mix-integer linear programming (MILP) formulation. Numerical case studies on the PJM-5bus system Integrated with a seven-node gas system and IEEE 118-bus system Integrated with a modified Belgian high-calorific gas system demonstrate the effectiveness of the proposed bi-level ED model.

  • interval optimization based operating strategy for gas electricity Integrated Energy Systems considering demand response and wind uncertainty
    Applied Energy, 2016
    Co-Authors: Linquan Bai, Tao Jiang, Hantao Cui, Hongbin Sun, Jinxiang Zhu
    Abstract:

    Abstract In the United States, natural gas-fired generators gained increasing popularity in recent years due to the low fuel cost and emission, as well as the proven large gas reserves. Consequently, the highly interdependency between the gas and electricity networks is needed to be considered in the system operation. To improve the overall system operation and optimize the Energy flow, an interval optimization based coordinated operating strategy for the gas-electricity Integrated Energy system (IES) is proposed in this paper considering demand response and wind power uncertainty. In the proposed model, the gas and electricity infrastructures are modeled in detail and their operation constraints are fully considered, wherein the nonlinear characteristics are modeled including pipeline gas flow and compressors. Then a demand response program is incorporated into the optimization model and its effects on the IES operation are investigated. Based on interval mathematics, wind power uncertainty is represented as interval numbers instead of probability distributions. A case study is performed on a six-bus electricity network with a seven-node gas network to demonstrate the effectiveness of the proposed method; further, the IEEE 118-bus system coupling with a 14-node natural gas system is used to verify its applicability in practical bulk Systems.

Hongjie Jia - One of the best experts on this subject based on the ideXlab platform.

  • A double-layer planning method for Integrated community Energy Systems with varying Energy conversion efficiencies
    Applied Energy, 2020
    Co-Authors: Wanqing Chen, Kai Hou, Hongjie Jia, Congshan Wang, Xianjun Meng
    Abstract:

    Abstract The Energy hub is considered a unit where multiple Energy carriers can be converted, conditioned, and stored, thereby providing the functions of input, output, conversion, and storage of multiple Energy carriers using a defined coupling matrix. Thus, the Energy hub is widely used in the planning and operation of Integrated Energy Systems. However, the coupling factors (or the efficiencies of the Energy conversion devices) in the Energy hub coupling matrix are usually assumed to be constant for the sake of simplicity, which may result in unreasonable planning and operation schemes for the Integrated Energy system. For this reason, an Integrated Energy system planning method at the community level that considers varying coupling factors was developed in this study. First, a dynamic Energy hub model was developed, where an efficiency correction model was built to determine the time-varying coupling factors with the variation in load rate. On this basis, a double-layer planning model was built to determine the optimal planning and operation schemes for the Integrated community Energy system. A typical Integrated community Energy system was employed as a test system to illustrate the effectiveness of the planning method, and the results were analysed.

  • a new reliability assessment approach for Integrated Energy Systems using hierarchical decoupling optimization framework and impact increment based state enumeration method
    Applied Energy, 2018
    Co-Authors: Yunkai Lei, Kai Hou, Hongjie Jia, Yue Wang, Pei Zhang, Xiaolong Jin, Bingyan Sui
    Abstract:

    Abstract A new reliability assessment approach to Integrated Energy Systems (IESs) is introduced in this paper. The optimal load curtailment (OLC) algorithm and reliability assessment algorithm are both improved in the proposed approach. For the OLC problem, this paper develops a hierarchical decoupling optimization framework for both the Energy hub optimal dispatch and the optimal power flow problems. This feasible solution can make the OLC calculation more efficient and accurate. For the reliability assessment algorithm, an impact-increment based state enumeration (IISE) method is accommodated for IESs to accelerate the reliability assessment process. Also, a reduction technique of higher order contingencies is presented for the reliability evaluation of IESs to further enhance the computational efficiency. Case studies are performed on an IESs test case combined the IEEE-33 bus system with 14-node gas system and a practical case combined the IEEE 118-bus power system with Belgian natural gas network Numerical results demonstrate the efficient and robust performance of the proposed approach. Besides, the impacts of Energy conversion process and Energy hubs on IESs reliability are analyzed in detail.

  • robust scheduling for wind Integrated Energy Systems considering gas pipeline and power transmission n 1 contingencies
    IEEE Transactions on Power Systems, 2017
    Co-Authors: Linquan Bai, Tao Jiang, Hongjie Jia
    Abstract:

    The security of natural gas network and the wind power uncertainty bring new challenges for power system operation. This letter develops a robust scheduling model for wind-Integrated Energy Systems with the considerations of both gas pipeline and power transmission N –1 contingencies. The proposed method is robust against wind power uncertainty to ensure that the system can sustain possible N –1 contingency event of gas pipeline or power transmission line. Case studies demonstrate the effectiveness of the proposed model.

Hongbin Sun - One of the best experts on this subject based on the ideXlab platform.

  • Distributed, Neurodynamic-Based Approach for Economic Dispatch in an Integrated Energy System
    IEEE Transactions on Industrial Informatics, 2020
    Co-Authors: Mo-yuen Chow, Hongbin Sun
    Abstract:

    In an Integrated Energy system, the growing number of distributed heat and electric power generation units will bring new technical challenges to the existing centralized economic dispatch strategies. This paper proposes a distributed optimization approach for the economic system operation in a multiEnergy system by considering various equality and inequality constraints to accommodate the integration of intermittent renewable generations. The proposed distributed neurodynamic-based approach only requires the information exchange among neighboring units and offers flexibility, adaptivity, scalability, faster convergence, and lower communication burden compared with some traditional centralized methods. The simulation results of two Integrated Energy Systems validate the effectiveness of the proposed distributed approach. Comparisons with other centralized and distributed optimization methods quantify the advantages of the proposed distributed approach in terms of convergence speed and computation complexity.

  • feasible region method based Integrated heat and electricity dispatch considering building thermal inertia
    Applied Energy, 2017
    Co-Authors: Zhaoguang Pan, Qinglai Guo, Hongbin Sun
    Abstract:

    Integrated heat and electricity dispatch is crucial to exploit synergistic benefits from Integrated Energy Systems. However, this requires information from both electricity Systems and district heating Systems (DHSs), which are managed by an electricity control center (ECC) and district heating control centers (DHCCs), respectively. For reasons pertaining to privacy, communication, dimension, and compatibility, it is not practical for DHCCs to send detailed models to the ECC. Therefore, a new feasible region method is proposed for formulation of new DHS models, which exploit the flexibility of DHSs with consideration of building thermal inertia. A greedy method is developed to solve the new modified feasible region models by calculating a series of linear programming problems efficiently. Then the new models are sent to the ECC to be used in central dispatch considering DHS operation constraints, i.e. Integrated heat and electricity dispatch. The modified models are similar to conventional power plants and storages, and are thus compatible with current dispatch programs. Case studies verify the effectiveness of the method. Although some conservativeness exists, the total cost and wind Energy curtailment are both decreased compared to conventional decoupled dispatch.

  • interval optimization based operating strategy for gas electricity Integrated Energy Systems considering demand response and wind uncertainty
    Applied Energy, 2016
    Co-Authors: Linquan Bai, Tao Jiang, Hantao Cui, Hongbin Sun, Jinxiang Zhu
    Abstract:

    Abstract In the United States, natural gas-fired generators gained increasing popularity in recent years due to the low fuel cost and emission, as well as the proven large gas reserves. Consequently, the highly interdependency between the gas and electricity networks is needed to be considered in the system operation. To improve the overall system operation and optimize the Energy flow, an interval optimization based coordinated operating strategy for the gas-electricity Integrated Energy system (IES) is proposed in this paper considering demand response and wind power uncertainty. In the proposed model, the gas and electricity infrastructures are modeled in detail and their operation constraints are fully considered, wherein the nonlinear characteristics are modeled including pipeline gas flow and compressors. Then a demand response program is incorporated into the optimization model and its effects on the IES operation are investigated. Based on interval mathematics, wind power uncertainty is represented as interval numbers instead of probability distributions. A case study is performed on a six-bus electricity network with a seven-node gas network to demonstrate the effectiveness of the proposed method; further, the IEEE 118-bus system coupling with a 14-node natural gas system is used to verify its applicability in practical bulk Systems.

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

  • a review for absorbtion and adsorbtion solar cooling Systems in china
    Renewable & Sustainable Energy Reviews, 2009
    Co-Authors: X Q Zhai, R Z Wang
    Abstract:

    In the past decades, solar water collectors were installed for the main purpose of preheating domestic hot water or to cover a fraction of the space heating demand in China. However, solar cooling Systems were constructed just for demonstration purposes. Since the building of the first solar-powered absorption cooling system in Shenzhen in 1987, there have been over 10 additional solar cooling demonstration projects constructed. In this paper, the most representative five projects including both absorption and adsorption cooling Systems are introduced and summarized. From the demonstrations, solar absorption cooling Systems have been shown to be more suitable for large building air-conditioning Systems. Comparatively, solar adsorption cooling Systems are more promising for small size air-conditioning Systems. In order to attain high utilization ratio, it is highly recommended to design solar-powered Integrated Energy Systems in public buildings. In addition, highly efficient heat pumps are considered as the most appropriate auxiliary heat sources for solar cooling Systems, for the purpose of all-weather operation. In the 11th Five year research project (duration 2006-2010), solar cooling technologies will be further investigated to achieve a breaking through in the integration of solar cooling Systems with buildings.

  • experiences on solar heating and cooling in china
    Renewable & Sustainable Energy Reviews, 2008
    Co-Authors: X Q Zhai, R Z Wang
    Abstract:

    Solar Energy is receiving much more attentions in building Energy Systems in recent years. Solar thermal utilization should be based on the integration of solar collectors into buildings. The facades of buildings can be important solar collectors, and therefore become multifunctional. In addition, solar collectors can be used to enhance the appearance of the facade when considering aesthetic compatibility. Currently, the feasible approach for integration of solar collectors into buildings is to install collectors on the south tilted roofs, south walls, balconies or awnings. Experiences on solar thermal utilization were mainly introduced in this paper, which included solar hot water Systems with different design methods in residential buildings and solar-powered Integrated Energy Systems in public buildings. Then the suggestions were given. In the cities of China, an ideal opportunity to carry out solar renovation with roof-Integrated collectors is in combination with the rebuilding of apartment roofs from flat to be inclined. With regard to multi-storied residential buildings, central hot water supply system and central-individual hot water supply system are more appropriate in view of aesthetic compatibility of solar collectors with building roof and convenience of management. As for public buildings, it is highly recommended to design solar-powered Integrated Energy Systems for the purpose of high solar fraction.