摘要
为提升用户侧储能运行效率、改善投资成效,提出一种在市场环境下考虑全周期经济效益的工业园区共享储能(SES)优化配置方法。一方面,通过协调不同用户间的差异化调节需求,减少储能容量要求;另一方面,通过整合用户与SES的灵活调节能力,参与需求响应市场拓宽盈利渠道,并且考虑了SES全运行周期经济效益测算以降低投资风险。首先,结合电力市场交易规则,提出了多工业用户组建合作联盟的园区SES运营模式。其次,以运营周期内联盟总成本最小为目标,建立SES双层优化配置模型,其中,上层模型旨在形成最大化投资成效的SES规划方案,而下层模型则综合考虑分时电价、需求响应违约风险等因素形成储能的最优投标调度方式,并结合市场时序演变规律精准量化SES在全运行周期内的运营收益,对上层结果进行修正。接着,利用近似KKT(Karush-Kuhn-Tucker)条件将该模型转化为单层模型进行求解,结合雨流计数法与迭代法量化SES容量衰减对其配置方案的影响,并利用双边Shapley值法分摊各工业用户的投资成本。最后,算例仿真验证了所提方法的有效性,并且分析了储能盈利模式、SES容量衰减以及需求响应违约风险等因素对SES投资经济效益的影响。
To improve the operation efficiency and investment effectiveness of the user-side energy storage,an optimal configuration method of shared energy storage(SES)in the industrial park considering full-cycle economic benefits in the market environment is proposed.On the one hand,the method could reduce energy storage capacity requirements by coordinating differentiated adjustment needs among different users.On the other hand,it could expand profit channels by integrating the flexible adjustment capabilities of users and SES to participate in the demand response market,and the full-operation-cycle economic benefits calculation of the SES is considered to reduce the investment risks.Firstly,based on the trading rules of the electricity market,a park SES operation mode with multiple industrial users forming cooperative alliances is proposed.Secondly,with the goal of minimizing the total cost of the alliance during the operation cycle,an SES bi-level optimal configuration model is established.The upper-level model aims to form an SES planning scheme that maximizes investment effectiveness,while the lower-level model comprehensively considers some factors such as time-of-use electricity prices and demand response default risks to form the optimal bidding and scheduling mode for energy storage,and accurately quantifies the operation benefits of SES throughout the full operation cycle based on time-series evolution laws of market,correcting the upper-level results.Then,the model is converted into a single-level model by using the approximate Karush-Kuhn-Tucker(KKT)condition for solution.Combining the rain flow counting method and the iterative method,the impact of SES capacity decay on its configuration scheme is quantified,and the investment cost of each industrial user is apportioned by using the bilateral Shapley value method.Finally,numerical simulations are conducted to validate the effectiveness of the proposed method and analyze the impact of some factors such as energy storage profit mode,SES capacity decay,and dema
作者
王亚武
黄淳驿
王承民
李康平
房鑫炎
严干贵
WANG Yawu;HUANG Chunyi;WANG Chengmin;LI Kangping;FANG Xinyan;YAN Gangui(School of Electronic Information and Electrical Engineering,Shanghai Jiao Tong University,Shanghai 200240,China;College of Smart Energy,Shanghai Jiao Tong University,Shanghai 200240,China;Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology,Ministry of Education(Northeast Electric Power University),Jilin 132012,China)
出处
《电力系统自动化》
EI
CSCD
北大核心
2024年第10期129-138,共10页
Automation of Electric Power Systems
基金
现代电力系统仿真控制与绿色电能新技术教育部重点实验室开放课题(MPSS2023-10)。
关键词
电力市场
时序演变
工业园区
共享储能
需求响应
优化配置
双层模型
electricity market
time-series evolution
industrial park
shared energy storage(SES)
demand response
optimal configuration
bi-level model
