The Experts below are selected from a list of 13728 Experts worldwide ranked by ideXlab platform
Mohammad Shahidehpour - One of the best experts on this subject based on the ideXlab platform.
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security constrained unit commitment with Natural Gas pipeline transient constraints
IEEE Transactions on Smart Grid, 2020Co-Authors: Sobhan Badakhshan, Neda Hajibandeh, Mohammad Shahidehpour, Miadreza Shafiekhah, Mehdi Ehsan, Joao P S CatalaoAbstract:The interdependencies of power systems and Natural Gas Networks have increased due to the additional installations of more environmental-friendly and fast-ramping Natural Gas power plants. The Natural Gas transmission Network constraints and the use of Natural Gas for other types of loads can affect the delivery of Natural Gas to generation units. These interdependencies will affect the power system security and economics in day-ahead and real-time operations. Hence, it is imperative to analyze the impact of Natural Gas Network constraints on the security-constrained unit commitment (SCUC) problem. In particular, it is important to include Natural Gas and electricity Network transients in the integrated system security because the impacts of any disturbances propagate at two distinctly different speeds in Natural Gas and electricity Networks. Thus, analyzing the transient behavior of the Natural Gas Network on the security of Natural Gas power plants would be essential as these plants are considered to be very flexible in electricity Networks. This paper presents a method for solving the SCUC problem considering the transient behavior of the Natural Gas transmission Network. The applicability of the presented method and the accuracy of the proposed solution are demonstrated for the IEEE 118-bus power system, which is linked with the Natural Gas transmission system and the results are discussed in this paper.
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stochastic security constrained scheduling of coordinated electricity and Natural Gas infrastructures
IEEE Systems Journal, 2017Co-Authors: Ahmed Alabdulwahab, Xiaping Zhang, Abdullah Abusorrah, Mohammad ShahidehpourAbstract:This paper proposes a coordinated stochastic model for studying the interdependence of electricity and Natural Gas transmission Networks (referred to as EGTran). The coordinated model incorporates the stochastic power system conditions into the solution of security-constrained unit commitment problem with Natural Gas Network constraints. The stochastic model considers random outages of generating units and transmission lines, as well as hourly forecast errors of day-ahead electricity load. The Monte Carlo simulation is applied to create multiple scenarios for the simulation of the uncertainties in the EGTran model. The nonlinear Natural Gas Network constraints are converted into linear constraints and incorporated into the stochastic model. Numerical tests are performed in a six-bus system with a seven-node Gas transmission Network and the IEEE 118–bus power system with a ten-node Gas transmission Network. Numerical results demonstrate the effectiveness of EGTran to analyze the impact of random contingencies on power system operations with Natural Gas Network constraints. The proposed EGTran model could be utilized by grid operators for the short-term commitment and dispatch of power systems in highly interdependent conditions with relatively large Natural Gas-fired generating units.
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Robust coordination of interdependent electricity and Natural Gas systems in day-ahead scheduling for facilitating volatile renewable generations via power-to-Gas technology
Journal of Modern Power Systems and Clean Energy, 2017Co-Authors: Tianqi Liu, Mohammad ShahidehpourAbstract:The increasing interdependency of electricity and Natural Gas systems promotes coordination of the two systems for ensuring operational security and economics. This paper proposes a robust day-ahead scheduling model for the optimal coordinated operation of integrated energy systems while considering key uncertainties of the power system and Natural Gas system operation cost. Energy hub, with collocated Gas-fired units, power-to-Gas (PtG) facilities, and Natural Gas storages, is considered to store or convert one type of energy (i.e., electricity or Natural Gas) into the other form, which could analogously function as large-scale electrical energy storages. The column-and-constraint generation (C&CG) is adopted to solve the proposed integrated robust model, in which nonlinear Natural Gas Network constraints are reformulated via a set of linear constraints. Numerical experiments signify the effectiveness of the proposed model for handling volatile electrical loads and renewable generations via the coordinated scheduling of electricity and Natural Gas systems.
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Hourly Electricity Demand Response in the Stochastic Day-Ahead Scheduling of Coordinated Electricity and Natural Gas Networks
IEEE Transactions on Power Systems, 2016Co-Authors: Xiaping Zhang, Ahmed Alabdulwahab, Mohammad Shahidehpour, Abdullah AbusorrahAbstract:This paper studies the role of hourly economic demand response in the optimization of the stochastic day-ahead scheduling of electric power systems with Natural Gas transmission constraints. The proposed coordinated stochastic model (referred to as EGTran) considers random outages of generating units and transmission lines, and random errors in forecasting the day-ahead hourly loads. The Monte Carlo simulation is applied to create multiple scenarios for representing the coordinated system uncertainties. The nonlinear Natural Gas Network constraints are linearized and incorporated into the stochastic model. Numerical results demonstrate the benefits of applying the hourly economic demand response for enhancing the scheduling coordination of Natural Gas and electricity Networks. It is demonstrated that electricity demand response would offer a less volatile hourly load profile and locational marginal prices, and less dependence on Natural Gas constraints for the optimal operation of electric power systems. The proposed model for EGTran could be applied by grid operators for the hourly commitment and dispatch of power system units.
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Coordination of Interdependent Natural Gas and Electricity Infrastructures for Firming the Variability of Wind Energy in Stochastic Day-Ahead Scheduling
IEEE Transactions on Sustainable Energy, 2015Co-Authors: Ahmed Alabdulwahab, Xiaping Zhang, Abdullah Abusorrah, Mohammad ShahidehpourAbstract:In this paper, the coordination of constrained electricity and Natural Gas infrastructures is considered for firming the variability of wind energy in electric power systems. The stochastic security-constrained unit commitment is applied for minimizing the expected operation cost in the day-ahead scheduling of power grid. The low cost and sustainable wind energy could substitute Natural Gas-fired units, which are constrained by fuel availability and emission. Also, the flexibility and quick ramping capability of Natural Gas units could firm the variability of wind energy. The electricity and Natural Gas Network constraints are considered in the proposed model (referred to as EGTran) and Benders decomposition is adopted to check the Natural Gas Network feasibility. The autoregressive moving average (ARMA) time-series model is used to simulate wind speed forecast errors in multiple Monte Carlo scenarios. Illustrative examples demonstrate the effectiveness of EGTran for firming the variable wind energy by coordinating the constrained electricity and Natural Gas delivery systems.
Hongjie Jia - One of the best experts on this subject based on the ideXlab platform.
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a new reliability assessment approach for integrated energy systems using hierarchical decoupling optimization framework and impact increment based state enumeration method
Applied Energy, 2018Co-Authors: Yunkai Lei, Xiaolong Jin, Kai Hou, Hongjie Jia, Yue Wang, Pei Zhang, Bingyan SuiAbstract: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.
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A two-stage multi-objective scheduling method for integrated community energy system
Applied Energy, 2018Co-Authors: Wei Lin, Xiaolong Jin, Hongjie Jia, Bo ZhaoAbstract:In order to determine the optimal day-ahead scheduling schemes of the integrated community energy system (ICES), a two-stage multi-objective scheduling method (TMSM) was proposed, which consists of a multi-objective optimal power flow (MOPF) calculation stage and a multiple attributes decision making (MADM) stage. Firstly, the electric distribution Network, the Natural Gas Network and the energy centers (ECs) of the ICES were modelled. Secondly, five typical indices are considered to characterize the operation of ICES, namely the operation cost (OC) and total emission (TE) of ICES, the power loss (PL) and sum of voltage deviation (SVD) of electric distribution Network, the sum of pressure deviation (SPD) of Natural Gas Network. In order to tackle the computation problems resulted by the increasing number of objectives, the dimension reduction of objectives is employed. The indices of OC and TE are selected based on the analytic hierarchy process (AHP) method and set as the objectives at the MOPF calculation stage. Thirdly, all the five indices are considered during the MADM stage to determine the final day-ahead scheduling schemes from the alternative solutions obtained in MOPF. Numerical studies demonstrate that the TMSM is able to provide flexibility for the operation of ICES. The determined optimum day-ahead scheduling schemes are capable of satisfying and balancing operational needs in aspects of security, economy and environmental friendliness.
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multi objective optimal hybrid power flow algorithm for integrated community energy system
Energy Procedia, 2017Co-Authors: Wei Lin, Xiaolong Jin, Hongjie JiaAbstract:A multi-objective optimal hybrid power flow algorithm was proposed for multi-objective scheduling and management of the integrated local area energy system (ILAES). Firstly, an energy flow analysis model for the energy center was developed based on the energy hub model. Then, a multi-objective optimal hybrid power flow algorithm was proposed to minimize the operation cost and total emission of the ILAES considering the constraints from unbalanced three-phase electric distribution Network, the Natural Gas Network and the energy centers. The proposed multi-objective optimal hybrid power flow algorithm can be further used in the optimal day-ahead scheduling for the ILAES, which considers the ILAES’s multiple operation needs in aspects of security, economy and environmental friendliness. Numerical results show that the proposed algorithm can be used in the steady-state analysis of the ILAES and multi-objective optimal scheduling for the ILAES.
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robust scheduling for wind integrated energy systems considering Gas pipeline and power transmission n 1 contingencies
IEEE Transactions on Power Systems, 2017Co-Authors: Linquan Bai, Tao Jiang, Hongjie JiaAbstract: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.
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optimal day ahead scheduling of integrated urban energy systems
Applied Energy, 2016Co-Authors: Xiaolong Jin, Hongjie JiaAbstract:Abstract An optimal day-ahead scheduling method (ODSM) for the integrated urban energy system (IUES) is introduced, which considers the reconfigurable capability of an electric distribution Network. The hourly topology of a distribution Network, a Natural Gas Network, the energy centers including the combined heat and power (CHP) units, different energy conversion devices and demand responsive loads (DRLs), are optimized to minimize the day-ahead operation cost of the IUES. The hourly reconfigurable capability of the electric distribution Network utilizing remotely controlled switches (RCSs) is explored and discussed. The operational constraints from the unbalanced three-phase electric distribution Network, the Natural Gas Network, and the energy centers are considered. The interactions between the electric distribution Network and the Natural Gas Network take place through conversion of energy among different energy vectors in the energy centers. An energy conversion analysis model for the energy center was developed based on the energy hub model. A hybrid optimization method based on genetic algorithm (GA) and a nonlinear interior point method (IPM) is utilized to solve the ODSM model. Numerical studies demonstrate that the proposed ODSM is able to provide the IUES with an effective and economical day-ahead scheduling scheme and reduce the operational cost of the IUES.
Joao P S Catalao - One of the best experts on this subject based on the ideXlab platform.
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security constrained unit commitment with Natural Gas pipeline transient constraints
IEEE Transactions on Smart Grid, 2020Co-Authors: Sobhan Badakhshan, Neda Hajibandeh, Mohammad Shahidehpour, Miadreza Shafiekhah, Mehdi Ehsan, Joao P S CatalaoAbstract:The interdependencies of power systems and Natural Gas Networks have increased due to the additional installations of more environmental-friendly and fast-ramping Natural Gas power plants. The Natural Gas transmission Network constraints and the use of Natural Gas for other types of loads can affect the delivery of Natural Gas to generation units. These interdependencies will affect the power system security and economics in day-ahead and real-time operations. Hence, it is imperative to analyze the impact of Natural Gas Network constraints on the security-constrained unit commitment (SCUC) problem. In particular, it is important to include Natural Gas and electricity Network transients in the integrated system security because the impacts of any disturbances propagate at two distinctly different speeds in Natural Gas and electricity Networks. Thus, analyzing the transient behavior of the Natural Gas Network on the security of Natural Gas power plants would be essential as these plants are considered to be very flexible in electricity Networks. This paper presents a method for solving the SCUC problem considering the transient behavior of the Natural Gas transmission Network. The applicability of the presented method and the accuracy of the proposed solution are demonstrated for the IEEE 118-bus power system, which is linked with the Natural Gas transmission system and the results are discussed in this paper.
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stochastic Network constrained co optimization of energy and reserve products in renewable energy integrated power and Gas Networks with energy storage system
Journal of Cleaner Production, 2019Co-Authors: Mohammad Amin Mirzaei, Ahmad Sadeghi Yazdankhah, Behnam Mohammadiivatloo, Mousa Marzband, Miadreza Shafiekhah, Joao P S CatalaoAbstract:Abstract Increasing penetration of variable nature wind energy sources (WES) due to environmental issues, impose several technical challenges to power system operation as it is difficult to predict its output power because of wind intermittency. Power generation based on Gas turbine with fast starting fitness and high ramping could better deal with inherent uncertainties comparing to other power generation sources. Considering Natural Gas Network constraints impacts flexibility and participation of Gas-fueled generation units on reserve and energy markets. Hence, the use of flexible energy storage system can reduce renewable sources alternation and the Gas Network limitation effects on power system operation cost. This paper proposes a two-stage stochastic Network-constrained unit commitment based market clearing model for energy and reserve products in coordinated power and Gas Networks with the integration of compressed air energy storage (CAES) and WES. A six-bus electric system with a six-node Gas system and IEEE reliability test system (RTS) 24-bus electric system with a ten-node Gas Network are considered to perform numerical tests and demonstrate the performance of the proposed model. The effect of including the constraints of the Gas system on the power system operation cost in day-ahead co-optimization of energy and reserve products is evaluated using numerical studies. Also, including CAES reduces the power system operation cost, load shedding and wind spillage.
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stochastic Network constrained co optimization of energy and reserve products in renewable energy integrated power and Gas Networks with energy storage systems
Journal of Cleaner Production, 2019Co-Authors: Mohammad Amin Mirzaei, Ahmad Sadeghi Yazdankhah, Behnam Mohammadiivatloo, Mousa Marzband, Miadreza Shafiekhah, Joao P S CatalaoAbstract:Abstract Increasing penetration of variable nature wind energy sources (WES) due to environmental issues, impose several technical challenges to power system operation as it is difficult to predict its output power because of wind intermittency. Power generation based on Gas turbine with fast starting fitness and high ramping could better deal with inherent uncertainties comparing to other power generation sources. Considering Natural Gas Network constraints impacts flexibility and participation of Gas-fueled generation units on reserve and energy markets. Hence, the use of flexible energy storage system can reduce renewable sources alternation and the Gas Network limitation effects on power system operation cost. This paper proposes a two-stage stochastic Network-constrained unit commitment based market clearing model for energy and reserve products in coordinated power and Gas Networks with the integration of compressed air energy storage (CAES) and WES. A six-bus electric system with a six-node Gas system and IEEE reliability test system (RTS) 24-bus electric system with a ten-node Gas Network are considered to perform numerical tests and demonstrate the performance of the proposed model. The effect of including the constraints of the Gas system on the power system operation cost in day-ahead co-optimization of energy and reserve products is evaluated using numerical studies. Also, including CAES reduces the power system operation cost, load shedding and wind spillage.
Xiaolong Jin - One of the best experts on this subject based on the ideXlab platform.
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a new reliability assessment approach for integrated energy systems using hierarchical decoupling optimization framework and impact increment based state enumeration method
Applied Energy, 2018Co-Authors: Yunkai Lei, Xiaolong Jin, Kai Hou, Hongjie Jia, Yue Wang, Pei Zhang, Bingyan SuiAbstract: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.
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A two-stage multi-objective scheduling method for integrated community energy system
Applied Energy, 2018Co-Authors: Wei Lin, Xiaolong Jin, Hongjie Jia, Bo ZhaoAbstract:In order to determine the optimal day-ahead scheduling schemes of the integrated community energy system (ICES), a two-stage multi-objective scheduling method (TMSM) was proposed, which consists of a multi-objective optimal power flow (MOPF) calculation stage and a multiple attributes decision making (MADM) stage. Firstly, the electric distribution Network, the Natural Gas Network and the energy centers (ECs) of the ICES were modelled. Secondly, five typical indices are considered to characterize the operation of ICES, namely the operation cost (OC) and total emission (TE) of ICES, the power loss (PL) and sum of voltage deviation (SVD) of electric distribution Network, the sum of pressure deviation (SPD) of Natural Gas Network. In order to tackle the computation problems resulted by the increasing number of objectives, the dimension reduction of objectives is employed. The indices of OC and TE are selected based on the analytic hierarchy process (AHP) method and set as the objectives at the MOPF calculation stage. Thirdly, all the five indices are considered during the MADM stage to determine the final day-ahead scheduling schemes from the alternative solutions obtained in MOPF. Numerical studies demonstrate that the TMSM is able to provide flexibility for the operation of ICES. The determined optimum day-ahead scheduling schemes are capable of satisfying and balancing operational needs in aspects of security, economy and environmental friendliness.
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multi objective optimal hybrid power flow algorithm for integrated community energy system
Energy Procedia, 2017Co-Authors: Wei Lin, Xiaolong Jin, Hongjie JiaAbstract:A multi-objective optimal hybrid power flow algorithm was proposed for multi-objective scheduling and management of the integrated local area energy system (ILAES). Firstly, an energy flow analysis model for the energy center was developed based on the energy hub model. Then, a multi-objective optimal hybrid power flow algorithm was proposed to minimize the operation cost and total emission of the ILAES considering the constraints from unbalanced three-phase electric distribution Network, the Natural Gas Network and the energy centers. The proposed multi-objective optimal hybrid power flow algorithm can be further used in the optimal day-ahead scheduling for the ILAES, which considers the ILAES’s multiple operation needs in aspects of security, economy and environmental friendliness. Numerical results show that the proposed algorithm can be used in the steady-state analysis of the ILAES and multi-objective optimal scheduling for the ILAES.
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optimal day ahead scheduling of integrated urban energy systems
Applied Energy, 2016Co-Authors: Xiaolong Jin, Hongjie JiaAbstract:Abstract An optimal day-ahead scheduling method (ODSM) for the integrated urban energy system (IUES) is introduced, which considers the reconfigurable capability of an electric distribution Network. The hourly topology of a distribution Network, a Natural Gas Network, the energy centers including the combined heat and power (CHP) units, different energy conversion devices and demand responsive loads (DRLs), are optimized to minimize the day-ahead operation cost of the IUES. The hourly reconfigurable capability of the electric distribution Network utilizing remotely controlled switches (RCSs) is explored and discussed. The operational constraints from the unbalanced three-phase electric distribution Network, the Natural Gas Network, and the energy centers are considered. The interactions between the electric distribution Network and the Natural Gas Network take place through conversion of energy among different energy vectors in the energy centers. An energy conversion analysis model for the energy center was developed based on the energy hub model. A hybrid optimization method based on genetic algorithm (GA) and a nonlinear interior point method (IPM) is utilized to solve the ODSM model. Numerical studies demonstrate that the proposed ODSM is able to provide the IUES with an effective and economical day-ahead scheduling scheme and reduce the operational cost of the IUES.
Claudio R Fuerteesquivel - One of the best experts on this subject based on the ideXlab platform.
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a robust optimization approach for the interdependency analysis of integrated energy systems considering wind power uncertainty
IEEE Transactions on Power Systems, 2013Co-Authors: Alberto Martinezmares, Claudio R FuerteesquivelAbstract:As power generation plants which use wind energy are increasingly integrated into existing electric power systems, it becomes important to evaluate how the wind power uncertainties affect the power system's operation as well as its interdependency with those infrastructures utilized to transport the various forms of primary energy that is converted into electric energy. This paper proposes a robust optimization model for analyzing the interdependency between Natural Gas, coal and electricity infrastructures considering their operation constraints and wind power uncertainties. The optimization model obtains an uncertainty-immunized solution in a unified framework based on the balance of nodal energy flows, which remains feasible and nearly optimal for all values of uncertain data. Case studies are presented to verify the effectiveness of the proposed solution for a multi-energy system composed by the IEEE-118 test system coupled to a 15-nodes Natural Gas Network and a 4-nodes coal distribution system as well as for the real life Belgian Natural Gas and electricity infrastructures.
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a unified Gas and power flow analysis in Natural Gas and electricity coupled Networks
IEEE Transactions on Power Systems, 2012Co-Authors: Alberto Martinezmares, Claudio R FuerteesquivelAbstract:The restructuring of energy markets has increased the concern about the existing interdependency between the primary energy supply and electricity Networks, which are analyzed traditionally as independent systems. The aim of this paper is focused on an integrated formulation for the steady-state analysis of electricity and Natural Gas coupled systems considering the effect of temperature in the Natural Gas system operation and a distributed slack node technique in the electricity Network. A general approach is described to execute a single Gas and power flow analysis in a unified framework based on the Newton-Raphson formulation. The applicability of the proposed approach is demonstrated by analyzing the Belgian Gas Network combined with the IEEE-14 test system and a 15-node Natural Gas Network integrated with the IEEE-118 test system.
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a unified Gas and power flow analysis in Natural Gas and electricity coupled Networks
IEEE Transactions on Power Systems, 2012Co-Authors: Alberto Martinezmares, Claudio R FuerteesquivelAbstract:The restructuring of energy markets has increased the concern about the existing interdependency between the primary energy supply and electricity Networks, which are analyzed traditionally as independent systems. The aim of this paper is focused on an integrated formulation for the steady-state analysis of electricity and Natural Gas coupled systems considering the effect of temperature in the Natural Gas system operation and a distributed slack node technique in the electricity Network. A general approach is described to execute a single Gas and power flow analysis in a unified framework based on the Newton-Raphson formulation. The applicability of the proposed approach is demonstrated by analyzing the Belgian Gas Network combined with the IEEE-14 test system and a 15-node Natural Gas Network integrated with the IEEE-118 test system.
