| 引用本文: | 王燚,吴俊勇.矩差分析在配电网储能配置中的应用[J].电力自动化设备,2024,44(12):140-146. |
| WANG Yi,WU Junyong.Application of moment difference analysis in energy storage configuration of distribution network[J].Electric Power Automation Equipment,2024,44(12):140-146. |
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| 摘要: |
| 高比例分布式光伏接入配电网会导致潮流返送和节点电压越上限。为此，提出了含高比例分布式光伏的配电网矩差分析理论，将配电网对光伏的消纳问题转化为矩差方程平衡的问题。临界矩差代表配电网的光伏消纳极限，光伏矩是需要消纳的对象，负荷矩是消纳光伏矩的资源。基于此，通过简化多分支配电网为多个单分支线路，求解多元一次方程组，得到储能最优配置方案。分别在国家电网山东电力公司单分支馈线519和IEEE 33节点配电网多分支馈线算例中进行仿真。结果表明，与粒子群优化算法相比，在误差不大于2%的条件下，所提方法的储能优化配置速度加快了47.87～2 371.37倍，验证了所提方法的正确性和高效性。此外，所提方法考虑了储能充放电等因素，减小了储能配置容量，提高了电池的使用效率。 |
| 关键词: 分布式光伏 储能 配电网 光伏矩 负荷矩 临界矩差 |
| DOI：10.16081/j.epae.202409012 |
| 分类号:TM91;TM615 |
| 基金项目:国网山东省电力公司科技项目(520625240009) |
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| Application of moment difference analysis in energy storage configuration of distribution network |
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WANG Yi, WU Junyong
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School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China
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| Abstract: |
| High proportion of distributed photovoltaic(PV) integration into distribution network can lead to power flow back feeding and node voltage exceeding its upper limit. To address this issue, a moment difference analysis theory(MDAT) for distribution network with high proportion of distributed PV is proposed. This theory transforms the PV accommodation problem into the problem of balancing moment difference equations. The critical moment difference represents the PV accommodation limitation of the distribution network, the PV moment is the object that needs to be accommodated, and the load moment serves as the resource to absorb the PV moment. Based on this, the distribution network with multiple branches is simplified into several single-branch lines, and the optimal energy storage configuration is obtained by solving a multivariate linear equation. The simulations are carried out on the single-branch Feeder 519 of the State Grid Shandong Electric Power Company and the IEEE 33-node distribution network with multiple branch feeders. The results show that, compared with the particle swarm optimization(PSO) algorithm, the proposed method improves the speed of energy storage optimization configuration by 47.87 to 2 371.37 times under an error margin of no more than 2 %,which verifies the accuracy and efficiency of the proposed method. Moreover, the proposed method considers factors such as energy storage charging and discharging, reducing the required energy storage capacity and improving battery utilization efficiency. |
| Key words: distributed PV energy storage distribution network PV moment load moment critical moment difference |
