| 李笑蓉,黄森,丁健民,单体华,程瑜.基于MILP的用户光储系统储能配置场景适应成本分析[J].电力需求侧管理,2020,22(5):25-30 |
| 基于MILP的用户光储系统储能配置场景适应成本分析 |
| MILP⁃based scenarios adaptation cost analysis of energy storage capacity sizing for user side PV and storage system |
| 投稿时间：2020-03-09 修订日期：2020-05-08 |
| DOI：10. 3969 / j. issn. 1009-1831. 2020. 05. 006 |
| 中文关键词: 联网型用户光储系统 场景聚类 储能优化配置 场景适应成本 多场景规划 |
| 英文关键词: grid ⁃ connected user side PV ⁃ ESS scenarios clustering storage capacity sizing optimization scene adaptation cost multi⁃scenario planning |
| 基金项目:国家自然科学基金（51207050）；国家电网公司科技项目（SGJBJY00GPJS1900042） |
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| 中文摘要: |
| 针对联网用户侧光储系统的储能容量优化配置问题，采用K-means 聚类算法和聚类数判断指标筛选典型光伏出力场景集合用于储能规划，分析在不同光伏出力场景下因储能容量缺额或容量冗余产生的场景适应成本；以总场景适应成本最小为目标建立储能容量配置和运行优化的混合整数线性规划模型，优化决策用户光储系统的储能容量配置及运行策略；分析低谷电价与富余光伏倒送价对储能容量配置和运行策略的影响。算例结果表明，模型可计及光伏出力不确定性，优化规划储能容量，并场景化细粒度衡量储能规划方案应对光伏出力变化的经济代价，为用户侧储能投资提供更高效的决策支持。 |
| 英文摘要: |
| Aiming at the capacity optimization of grid-connected user side PV and energy storage system（PV - ESS）, K -means clustering algorithm and proper clustering number judgment indexes are used to select typical PV day output scenarios for planning. A mixed integer linear programming（MILP）model is presented to minimize the multi- scenario comprehensive adaptation costs due to energy storage capacity shortage or redundancy and optimize the storage capacity and operation strategy in different PV output scenarios with analyzing the impact of low valley electricity tariff and PV feed-in price. Case study shows the model can optimize the capacity configuration of ESS considering the uncertainty of PV output. The model provides fine-grained costanalysis of user side ESS based on different PV scenarios for better decision supporting. |
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