阶梯-峰谷电价机制下户用光-储系统双层滚动优化运行策略  

Two-layer rolling optimization operation strategy of household photovoltaic-energy storage system under step-peak valley tariff mechanism

作　　者：刘鹏飞 林顺富 解大[2] LIU Pengfei;LIN Shunfu;XIE Da(College of Electrical Engineering,Shanghai University of Electric Power,Shanghai 200090,China;Key Laboratory of Control of Power Transmission and Conversion(Ministry of Education),Shanghai Jiao Tong University,Shanghai 200240,China)

机构地区：[1]上海电力大学电气工程学院,上海200090 [2]上海交通大学电力传输与功率变换控制教育部重点实验室,上海200240

出　　处：《电力科学与技术学报》2024年第6期22-32,共11页Journal of Electric Power Science And Technology

基　　金：上海市科委科技创新计划项目(18DZ1203700);国家自然科学基金(52077137)。

摘　　要：分布式光伏对于实现“双碳”目标和建设以新能源为主体的新型电力系统具有重要意义。研究了当前阶梯-峰谷电价体系下户用光-储系统的优化运行问题。首先,介绍了户用光-储系统的结构和电价体系。其次,考虑阶梯-峰谷电价对用户长时间尺度用能策略的影响,提出了基于模型预测控制的户用光-储系统双层滚动优化运行策略。其中,上层模型为基于阶梯电价,以年综合收益最大为目标的年滚动优化,下层模型为基于峰谷电价,以日运行成本最低为目标的日滚动优化。下层模型中光伏和储能的运行方案以上层优化结果为参照,并修正由于不确定性因素导致的系统状态偏差。此外,采用Informer模型解决了长时间尺度下系统状态的准确预测问题。最后,通过算例仿真结果表明,所提策略可以推迟高阶梯电价的使用时刻,有效提高居民用户的整体收益。Distributed photovoltaic(PV)is of great significance to realizing the objectives of“carbon peaking and carbon neutrality”and establishing a new power system mainly supported by new energy sources.In this study,the optimization operation of the household PV-energy storage system under the present step-peak valley tariff mechanism was investigated.Firstly,the structure of household PV-energy storage system and tariff mechanism were introduced.Secondly,by considering the impact of step-peak valley tariff on users’energy use strategy on long time scale,a two-layer rolling optimization operation strategy of household PV-energy storage system based on model predictive control(MPC)was proposed,where the upper-layer model focused on step tariff-based annual rolling optimization with maximum annual comprehensive revenue as objective;in the lower-layer model,the operation scheme of PV and energy storage was based on the optimization results of the upper layer,and the deviation of system state caused by uncertain factors was corrected.In addition,the Informer model was used to achieve accurate prediction of the system state on a long time scale.Finally,the simulation results show that the proposed strategy can delay the arrival of high step tariffs and effectively improve the overall revenue of residential users.

关 键 词：户用光-储系统 阶梯-峰谷电价体系 模型预测控制 优化运行 

分 类 号：TM76[电气工程—电力系统及自动化]