| 引用本文: | 张江林,高红均,王家怡,洪居华,刘俊勇,庄慧敏.计及预测精度及拓扑结构的光伏电站储能经济配置[J].电力自动化设备,2019,39(6): |
| ZHANG Jianglin,GAO Hongjun,WANG Jiayi,HONG Juhua,LIU Junyong,ZHUANG Huimin.Economic allocation of energy storage in photovoltaic power station considering prediction accuracy and topological structure[J].Electric Power Automation Equipment,2019,39(6): |
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| 摘要: |
| 光伏电站并网离不开储能系统的支持，为了提高储能配置的精度并降低储能系统的成本，考虑到现有研究的不足，分析了光伏电站出力预测算法误差、储能拓扑结构对储能配置的影响。提出了一种储能的快速配置方法，分析了预测算法误差对储能定容的影响，完善了储能的收益模型；引入了一种双元互补的储能拓扑结构，并分析了该拓扑结构对电池特性以及储能成本模型的影响；建立了以最大经济效益为目标的总投资收益模型，并基于某光伏电站的实际数据确定其最优配置方案。算例结果表明，预测算法误差会引起储能容量及功率增大，从而导致储能系统的成本增大；引入所提储能拓扑结构能有效地提高电池的使用寿命，降低储能系统的成本。 |
| 关键词: 光伏电站 储能系统 拓扑结构 预测精度 成本 容量配置 |
| DOI：10.16081/j.issn.1006-6047.2019.06.017 |
| 分类号:TM615 |
| 基金项目:国家自然科学基金重点项目(5143000228)；中央高校基本科研业务费专项基金资助项目(YJ201750) |
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| Economic allocation of energy storage in photovoltaic power station considering prediction accuracy and topological structure |
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ZHANG Jianglin1,2, GAO Hongjun1, WANG Jiayi1, HONG Juhua1, LIU Junyong1, ZHUANG Huimin2
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1.College of Electrical Engineering and Information Technology, Sichuan University, Chengdu 610065, China;2.School of Control Engineering, Chengdu University of Information Technology, Chengdu 610225, China
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| Abstract: |
| Energy storage system can well support PV(PhotoVoltaic) power station connecting to power grid. In order to improve the configuration accuracy of energy storage and reduce the cost of energy storage system, considering the shortcomings of existing research, the influences of the error of PV power station output power prediction algorithm and the topological structure of energy storage on energy storage configuration are analyzed. A fast energy storage configuration method is proposed. The influence of prediction algorithm’s error on the capacity determination of energy storage is analyzed and the revenue model of energy storage is improved. A topological structure of energy storage system with dual complementary units is introduced, and its influences on the battery characteristics and the cost model of energy storage are analyzed. The investment income model is established with the maximum economic benefit as its objective. The optimal energy storage configuration scheme of a PV power station is determined based on the actual data. The example results show that, the error of prediction algorithm will lead to the increase of energy storage capacity and power, which will lead to the increase of energy storage system cost. The proposed topological structure of energy storage can effectively improve the life of battery and reduce the cost of the energy storage system. |
| Key words: photovoltaic power station energy storage system topological structure prediction accuracy costs capacity configuration |
