Interconnected power systems that link several countries and fully utilize their individual resources in a complementary manner are becoming increasingly important.As these systems enhanee accommodation of renewable e...Interconnected power systems that link several countries and fully utilize their individual resources in a complementary manner are becoming increasingly important.As these systems enhanee accommodation of renewable energy,they also represent a move toward low-carbon and low-emissi on power systems.In this paper,a low-carb on dispatch model is proposed to coo rd i nate the gen erati on output betwee n several coun tries where the carb on emissi on constraint is a priority.An adjustable robust optimization approach is used to find the optimal solution under the worst-case scenario to address the uncertainties associated with renewable energy resources.A specific constraint is that the area control error for each country should be self-balanced.Furthermore,a reformation using participation factors is presented to simplify the proposed robust dispatch model.Simulation results for practical interconnected power systems in northeast Asian countries verify the effectiveness of the proposed model.展开更多
Photovoltaic(PV)power generation has highly penetrated in distribution networks,providing clean and sustainable energy.However,its uncertain and intermittent power outputs significantly impair network operation,leadin...Photovoltaic(PV)power generation has highly penetrated in distribution networks,providing clean and sustainable energy.However,its uncertain and intermittent power outputs significantly impair network operation,leading to unexpected power loss and voltage fluctuation.To address the uncertainties,this paper proposes a multi-timescale affinely adjustable robust reactive power dispatch(MTAAR-RPD)method to reduce the network power losses as well as alleviate voltage deviations and fluctuations.The MTAAR-RPD aims to coordinate on-load tap changers(OLTCs),capacitor banks(CBs),and PV inverters through a three-stage structure which covers multiple timescales of“hour-minute-second”.The first stage schedules CBs and OLTCs hourly while the second stage dispatches the base reactive power outputs of PV inverter every 15 min.The third stage affinely adjusts the inverter reactive power output based on an optimized Q-P droop controller in real time.The three stages are coordinately optimized by an affinely adjustable robust optimization method.A solution algorithm based on a cutting plane algorithm is developed to solve the optimization problem effectively.The proposed method is verified through theoretical analysis and numerical simulations.展开更多
Large-scale renewable energy penetration desires higher flexibility in the power system.Combined heat and power virtual power plants(CUP-VPPs)provide an economic-effective method to improve the power system flexibilit...Large-scale renewable energy penetration desires higher flexibility in the power system.Combined heat and power virtual power plants(CUP-VPPs)provide an economic-effective method to improve the power system flexibility by aggregating the distributed resources of an electric-thermal coupling system.The topology can be optimally reconfigured in a power distribution system by operating tie and segment switches.Similarly,the heat flow profile can be redistributed in the district heating system(DHS)with valve switching and provide notable flexibility for CHP-VPPs self-scheduling.To address this issue,an aggregation model for the CHP-VPP is proposed to trade in typical day-ahead energy and reserve electricity markets,which is formulated as an adjustable robust optimization(ARO)problem to assure the realizability of all dispatch requests.The energy flow model is introduced in DHS formulation to make the model solvable.Due to the binary switching variables in the second stage of the proposed ARO problem,classical Karush-Kuhn-Tucker-based algorithms cannot be adopted directly and a nested column-and-constraint generation solution strategy is proposed.Case studies based on an actual CHP-VPP certify the validity of the proposed model and algorithm.展开更多
基金the Science and Technology Foundation of Global Energy Interconnection Group Co.,Ltd.(No.524500180012)National Natural Science Foundation of China(No.51977166).
文摘Interconnected power systems that link several countries and fully utilize their individual resources in a complementary manner are becoming increasingly important.As these systems enhanee accommodation of renewable energy,they also represent a move toward low-carbon and low-emissi on power systems.In this paper,a low-carb on dispatch model is proposed to coo rd i nate the gen erati on output betwee n several coun tries where the carb on emissi on constraint is a priority.An adjustable robust optimization approach is used to find the optimal solution under the worst-case scenario to address the uncertainties associated with renewable energy resources.A specific constraint is that the area control error for each country should be self-balanced.Furthermore,a reformation using participation factors is presented to simplify the proposed robust dispatch model.Simulation results for practical interconnected power systems in northeast Asian countries verify the effectiveness of the proposed model.
基金supported in part by the Scientific Research Foundation of Nanjing University of Science and Technology(No.AE89991/255)in part by Jiangsu Provincial Key Laboratory of Smart Grid Technology and Equipment Project,Southeast University+1 种基金in part by the National Natural Science Foundation of China(No.51677025)in part by the Science and Technology Project of State Grid Corporation(No.SGMD0000YXJS1900502)。
文摘Photovoltaic(PV)power generation has highly penetrated in distribution networks,providing clean and sustainable energy.However,its uncertain and intermittent power outputs significantly impair network operation,leading to unexpected power loss and voltage fluctuation.To address the uncertainties,this paper proposes a multi-timescale affinely adjustable robust reactive power dispatch(MTAAR-RPD)method to reduce the network power losses as well as alleviate voltage deviations and fluctuations.The MTAAR-RPD aims to coordinate on-load tap changers(OLTCs),capacitor banks(CBs),and PV inverters through a three-stage structure which covers multiple timescales of“hour-minute-second”.The first stage schedules CBs and OLTCs hourly while the second stage dispatches the base reactive power outputs of PV inverter every 15 min.The third stage affinely adjusts the inverter reactive power output based on an optimized Q-P droop controller in real time.The three stages are coordinately optimized by an affinely adjustable robust optimization method.A solution algorithm based on a cutting plane algorithm is developed to solve the optimization problem effectively.The proposed method is verified through theoretical analysis and numerical simulations.
基金supported by the National Natural Science Foundation of China(U22A6007)the National Natural Science Foundation of China(52307131).
文摘Large-scale renewable energy penetration desires higher flexibility in the power system.Combined heat and power virtual power plants(CUP-VPPs)provide an economic-effective method to improve the power system flexibility by aggregating the distributed resources of an electric-thermal coupling system.The topology can be optimally reconfigured in a power distribution system by operating tie and segment switches.Similarly,the heat flow profile can be redistributed in the district heating system(DHS)with valve switching and provide notable flexibility for CHP-VPPs self-scheduling.To address this issue,an aggregation model for the CHP-VPP is proposed to trade in typical day-ahead energy and reserve electricity markets,which is formulated as an adjustable robust optimization(ARO)problem to assure the realizability of all dispatch requests.The energy flow model is introduced in DHS formulation to make the model solvable.Due to the binary switching variables in the second stage of the proposed ARO problem,classical Karush-Kuhn-Tucker-based algorithms cannot be adopted directly and a nested column-and-constraint generation solution strategy is proposed.Case studies based on an actual CHP-VPP certify the validity of the proposed model and algorithm.
