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Main Authors: Yan, Dongxiang, Li, Tongxin, Zhao, Changhong, Wang, Han, Chen, Yue
Format: Preprint
Published: 2023
Subjects:
Online Access:https://arxiv.org/abs/2305.17410
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author Yan, Dongxiang
Li, Tongxin
Zhao, Changhong
Wang, Han
Chen, Yue
author_facet Yan, Dongxiang
Li, Tongxin
Zhao, Changhong
Wang, Han
Chen, Yue
contents The wide deployment of distributed renewable energy sources and electric vehicles can help mitigate climate crisis. This necessitates new business models in the power sector to hedge against uncertainties while imposing a strong coupling between the connected power and transportation networks. To address these challenges, this paper first proposes an energy sharing mechanism considering AC power network constraints to encourage local energy exchange in the power system. Under the proposed mechanism, all prosumers play a generalized Nash game. We prove that the energy sharing equilibrium exists and is socially optimal. Furthermore, a hierarchical game is built to characterize the interactions both inside and between the power and transportation systems. Externally, the two systems are engaged in a generalized Nash game because traffic flows serve as electric demands by charging behaviors, and each driver pays the energy sharing price for charging. The hierarchical game is then converted into a mixed-integer linear program (MILP) with the help of optimality conditions and linearization techniques. Numerical experiments validate the theoretical results and show the mutual impact between the two systems.
format Preprint
id arxiv_https___arxiv_org_abs_2305_17410
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Hierarchical Game for Coupled Power System with Energy Sharing and Transportation System
Yan, Dongxiang
Li, Tongxin
Zhao, Changhong
Wang, Han
Chen, Yue
Systems and Control
The wide deployment of distributed renewable energy sources and electric vehicles can help mitigate climate crisis. This necessitates new business models in the power sector to hedge against uncertainties while imposing a strong coupling between the connected power and transportation networks. To address these challenges, this paper first proposes an energy sharing mechanism considering AC power network constraints to encourage local energy exchange in the power system. Under the proposed mechanism, all prosumers play a generalized Nash game. We prove that the energy sharing equilibrium exists and is socially optimal. Furthermore, a hierarchical game is built to characterize the interactions both inside and between the power and transportation systems. Externally, the two systems are engaged in a generalized Nash game because traffic flows serve as electric demands by charging behaviors, and each driver pays the energy sharing price for charging. The hierarchical game is then converted into a mixed-integer linear program (MILP) with the help of optimality conditions and linearization techniques. Numerical experiments validate the theoretical results and show the mutual impact between the two systems.
title Hierarchical Game for Coupled Power System with Energy Sharing and Transportation System
topic Systems and Control
url https://arxiv.org/abs/2305.17410