| 引用本文: | 史林军,杨 帆,刘 英,吴 峰.计及社会发展的多场景用户侧储能容量优化配置[J].电力系统保护与控制,2021,49(22):59-66.[点击复制] |
| SHI Linjun,YANG Fan,LIU Ying,WU Feng.Multi-scenario user-side energy storage capacity optimization configurationconsidering social development[J].Power System Protection and Control,2021,49(22):59-66[点击复制] |
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| 摘要: |
| 在能源革命的大背景下，用户侧配置储能由于可有效地转移负荷，减少用电峰谷差异，降低用户用电成本，因此在近些年来得到广泛运用。但由于储能系统本身价格较为高昂，如何优化配置储能容量成为关键问题之一。首先，基于用户侧两部制电价制度，计及社会发展对储能的影响，以用户加装储能后获取月综合效益最大为目标建立储能优化配置模型。然后，考虑到节假日和天气状况等因素，提出了一种适用于多场景的用户侧储能配置决策方法，以满足用户侧储能配置的个性化需求。最后，选取4家典型的大用户的历史负荷数据进行算例仿真，利用CPLEX求解器进行求解，分析探讨了储能配置的合理性和经济性。仿真结果表明，该储能优化配置方法在提高模型精准度的同时能进一步提高配置经济性，为不同用户侧储能的商业化应用提供借鉴。 |
| 关键词: 社会发展 电池储能 配置优化 多场景 用户侧 |
| DOI：DOI: 10.19783/j.cnki.pspc.210173 |
| 投稿时间：2021-02-18修订日期：2021-03-05 |
| 基金项目:国家自然科学基金国际(地区)合作与交流项目(52061635102)；国家电网公司科技项目(52573520000F) |
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| Multi-scenario user-side energy storage capacity optimization configurationconsidering social development |
| SHI Linjun,YANG Fan,LIU Ying,WU Feng |
| (1. College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China;
2. Hubei Bailianhe PSP Co., Ltd., Wuhan 430223, China) |
| Abstract: |
| Energy storage on the user side has been widely considered and used in recent years because it can effectively transfer load, reduce the difference in power consumption between peaks and valleys, and reduce user electricity costs. However, because the energy storage system itself is relatively expensive, how to optimize the allocation of energy storage capacity has become one of the key issues. First, based on the user-side two-part electricity price system, an energy storage optimization configuration model is established with the goal of obtaining the maximum monthly benefits after installing. This considers the impact of social development on energy storage. Then considering factors such as holidays and weather conditions, a user-side energy storage configuration decision-making method suitable for multiple scenarios is proposed to meet the individual needs of users. Finally, the historical load data of four typical users are selected for simulation with CPLEX solver, and the rationality and economy of the energy storage configuration are analyzed and discussed. The simulation results show that the optimization configuration method can improve the economy and the accuracy of the model, and it also provides a reference for the commercial application of energy storage by different users.
This work is supported by the National Natural Science Foundation of China for International Cooperation and Exchanges (No. 52061635102) and the Science and Technology Project of State Grid Corporation of China (No. 52573520000F). |
| Key words: social development battery energy storage configuration optimization multi-scenario user side |
