Study on the bi-level optimal clearing model of electricity market considering the weight of consumption responsibility
Considering the impact of the restriction of the weight of the responsibility of consumption on the promotion of local renewable energy consumption and the cross-provincial transaction of renewable energy, this study examines the multi market clearing decision-making problem. Additionally, it propos...
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doaj-3a205960685541a289baa5aa621fa7602021-09-09T04:28:45ZengElsevierEnergy Reports2352-48472021-11-01755275535Study on the bi-level optimal clearing model of electricity market considering the weight of consumption responsibilityChong Wang0Jialun Li1Wenjie Li2Zheng Zhang3Yan Shi4Wei Li5School of Economics and Management, Northeast Electric Power University, Jilin 132012, China; Corresponding author.School of Economics and Management, Northeast Electric Power University, Jilin 132012, ChinaPower Supply Service Supervision and Support Center, State Grid East Inner Mongolia Electric Power Co., LTD., Tongliao 028000, ChinaSchool of Economics and Management, Northeast Electric Power University, Jilin 132012, ChinaPower Supply Service Supervision and Support Center, State Grid East Inner Mongolia Electric Power Co., LTD., Tongliao 028000, ChinaSchool of Economics and Management, Northeast Electric Power University, Jilin 132012, ChinaConsidering the impact of the restriction of the weight of the responsibility of consumption on the promotion of local renewable energy consumption and the cross-provincial transaction of renewable energy, this study examines the multi market clearing decision-making problem. Additionally, it proposes and constructs the intraprovincial and interprovincial bi-level market clearing decision-making model. The objective function of the upper model is to minimize the operation cost of the power market at the intraprovincial level considering the weight constraint of consumption responsibility, and the objective function of the lower model is to minimize the renewable energy purchase cost at the interprovincial level. In the two-level model, the two levels are coupled with each other, and the Karush–Kuhn–Tucker (KKT) condition of the lower level model is used to transform the two-level model into a single-level nonlinear model. The strong duality theory and Big M method are used to transform the nonlinear model into a linear model, and the Gurobi solver is used to solve the problem. The results show that the optimal interprovincial renewable energy purchasing power is achieved at the minimum market operational cost in the province. In addition, the effectiveness and rationality of the model are verified by the example analysis.http://www.sciencedirect.com/science/article/pii/S2352484721007216Electricity marketRenewable energy powerConsumption responsibility weightBi-level modelMultimarket decision |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Chong Wang Jialun Li Wenjie Li Zheng Zhang Yan Shi Wei Li |
spellingShingle |
Chong Wang Jialun Li Wenjie Li Zheng Zhang Yan Shi Wei Li Study on the bi-level optimal clearing model of electricity market considering the weight of consumption responsibility Energy Reports Electricity market Renewable energy power Consumption responsibility weight Bi-level model Multimarket decision |
author_facet |
Chong Wang Jialun Li Wenjie Li Zheng Zhang Yan Shi Wei Li |
author_sort |
Chong Wang |
title |
Study on the bi-level optimal clearing model of electricity market considering the weight of consumption responsibility |
title_short |
Study on the bi-level optimal clearing model of electricity market considering the weight of consumption responsibility |
title_full |
Study on the bi-level optimal clearing model of electricity market considering the weight of consumption responsibility |
title_fullStr |
Study on the bi-level optimal clearing model of electricity market considering the weight of consumption responsibility |
title_full_unstemmed |
Study on the bi-level optimal clearing model of electricity market considering the weight of consumption responsibility |
title_sort |
study on the bi-level optimal clearing model of electricity market considering the weight of consumption responsibility |
publisher |
Elsevier |
series |
Energy Reports |
issn |
2352-4847 |
publishDate |
2021-11-01 |
description |
Considering the impact of the restriction of the weight of the responsibility of consumption on the promotion of local renewable energy consumption and the cross-provincial transaction of renewable energy, this study examines the multi market clearing decision-making problem. Additionally, it proposes and constructs the intraprovincial and interprovincial bi-level market clearing decision-making model. The objective function of the upper model is to minimize the operation cost of the power market at the intraprovincial level considering the weight constraint of consumption responsibility, and the objective function of the lower model is to minimize the renewable energy purchase cost at the interprovincial level. In the two-level model, the two levels are coupled with each other, and the Karush–Kuhn–Tucker (KKT) condition of the lower level model is used to transform the two-level model into a single-level nonlinear model. The strong duality theory and Big M method are used to transform the nonlinear model into a linear model, and the Gurobi solver is used to solve the problem. The results show that the optimal interprovincial renewable energy purchasing power is achieved at the minimum market operational cost in the province. In addition, the effectiveness and rationality of the model are verified by the example analysis. |
topic |
Electricity market Renewable energy power Consumption responsibility weight Bi-level model Multimarket decision |
url |
http://www.sciencedirect.com/science/article/pii/S2352484721007216 |
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