| 引用本文: | 陈景文,肖 妍,莫瑞瑞,等.考虑光伏校正的微电网储能容量优化配置[J].电力系统保护与控制,2021,49(10):59-66.[点击复制] |
| CHEN Jingwen,XIAO Yan,MO Ruirui,et al.Optimized allocation of microgrid energy storage capacity considering photovoltaic correction[J].Power System Protection and Control,2021,49(10):59-66[点击复制] |
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| 摘要: |
| 针对光伏微电网中储能容量优化配置时忽略光伏实际出力的问题，提出一种考虑温度和光照强度的光伏输出功率校正方法，建立光伏优化模型。其次以储能经济最优为目标，在满足负荷需求的基础上进行光储联合建模，并考虑负荷缺电率和能量溢出比的影响，对电网分时电价下5种储能电池分别进行容量配置和经济性分析。最后通过算例验证了所提模型更满足地域特性、符合光伏实际输出功率。所配置的结果表明，在项目周期内钠硫电池成本最高，功率型铅酸电池成本最低，全钒液流、锂电池和能量型铅酸电池总投资成本相当。 |
| 关键词: 微电网 光伏校正 电网分时电价 储能 容量优化 |
| DOI：DOI: 10.19783/j.cnki.pspc.200923 |
| 投稿时间：2020-08-02修订日期：2020-10-13 |
| 基金项目:国家自然科学基金项目资助(61871259)；西安市科学技术局项目资助(2020KJRC003) |
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| Optimized allocation of microgrid energy storage capacity considering photovoltaic correction |
| CHEN Jingwen1,XIAO Yan1,MO Ruirui1,TIAN Yuan2 |
| (1. College of Electrical and Control Engineering, Shaanxi University of Science and Technology, Xi'an 710021, China;
2. Shenmu City Power Supply Branch of State Grid Shaanxi Electric Power Company, Yulin 719300, China) |
| Abstract: |
| There is a problem that the actual photovoltaic output is ignored in the optimal allocation of energy storage capacity in a photovoltaic micro-grid. To solve this, a photovoltaic output power correction method considering temperature and light intensity is proposed, and a photovoltaic optimization model is established. Secondly, taking the economic optimal energy storage as the target, and taking account of the need to meet the load demand, optical storage joint modeling is carried out. Considering the influence of load power shortage rate and energy spillover ratio, capacity allocation and economic analysis are conducted for five energy storage batteries under the time-of-use electricity pricing of the grid. Finally, an example is given to verify that the proposed model is more suitable for the regional characteristics and conforms to the actual photovoltaic output power. The configured energy storage results show that NAS costs are highest during the project cycle, VRLA-cap costs are lowest, and the total investment costs of V-redox, LPF, and VRLA-B are similar.
This work is supported by the National Natural Science Foundation of China (No. 61871259) and the Project of Xi’an Science and Technology Bureau (No. 2020KJRC003). |
| Key words: micro-grid photovoltaic correction time-of-use electricity price of grid energy storage capacity optimization |
