陈众, 徐翼, 吴辅朝, 于梦奥, 刘星. 基于光伏消纳能力模拟评估的配电网最优消纳方案规划选择[J]. 电网技术, 2023, 47(3): 1179-1187. DOI: 10.13335/j.1000-3673.pst.2022.0342
引用本文: 陈众, 徐翼, 吴辅朝, 于梦奥, 刘星. 基于光伏消纳能力模拟评估的配电网最优消纳方案规划选择[J]. 电网技术, 2023, 47(3): 1179-1187. DOI: 10.13335/j.1000-3673.pst.2022.0342
CHEN Zhong, XU Yi, WU Fuchao, YU Mengao, LIU Xing. Selection of Optimal Distribution Planning Based on Simulation of Photovoltaic Absorption Capacity[J]. Power System Technology, 2023, 47(3): 1179-1187. DOI: 10.13335/j.1000-3673.pst.2022.0342
Citation: CHEN Zhong, XU Yi, WU Fuchao, YU Mengao, LIU Xing. Selection of Optimal Distribution Planning Based on Simulation of Photovoltaic Absorption Capacity[J]. Power System Technology, 2023, 47(3): 1179-1187. DOI: 10.13335/j.1000-3673.pst.2022.0342

基于光伏消纳能力模拟评估的配电网最优消纳方案规划选择

Selection of Optimal Distribution Planning Based on Simulation of Photovoltaic Absorption Capacity

  • 摘要: 随着光能利用率的日益提升,配电网就地接入光伏愈发普遍,而大量分布式光伏并网则造成电压越限、消纳困难、经济效益低等诸多方面的问题。面对目前光伏优化配置的光伏接入总量,接入节点选择,节点容量配比的三大不确定难题,提出一套配电网光伏消纳能力模拟评估及消纳方案择优的方法。首先在分析配网线路结构角度的基础上定义节点全局电压影响度,据此衡量各节点接入光伏对全局电压的影响;然后基于蒙特卡洛法提出光伏消纳方案随机模拟与消纳能力近似评估的方法,并通过基于节点全局电压影响度设计的光伏接入节点位置抽样方法来提高模拟评估的效率和精度;最后综合考虑各候选最优消纳方案的近似最大消纳容量、年运行电压越上限指标及年均投资效益,采用逼近理想解排序法(technique for order preference by similarity to an ideal solution,TOPSIS)选出经济性和安全性最优的方案。基于IEEE33节点系统算例分析,有效验证了所述方法的适用性。

     

    Abstract: With the increasing utilization of solar energy, the on-site access of photovoltaic power to the distribution network is becoming more and more common. However, the disorder connection of a large number of photovoltaics into the distribution network may cause many problems such as voltage limit violation, photovoltaic consumption difficulty, and economic benefit inefficiency. Aiming at the three uncertainty planning problems of the optimal configuration of photovoltaic access capacity, the selection of access nodes and locations, and the evaluation of the photovoltaic consumption capacity, a simulation of photovoltaic absorption capacity of the distribution network and the selection of the consumption plans are proposed. First, based on the analysis of the distribution network line structure and defining the global voltage influences of the nodes, the influence of each node's photovoltaic access on the global voltage is measured accordingly; Then, based on the Monte Carlo method, a method for stochastic simulation of photovoltaic absorption schemes and an approximate assessment of the absorption capacity are proposed. In order to improve the efficiency and precision of the simulation evaluation, the sampling method of photovoltaic access node position based on the influence degree of the node global voltage is designed. Finally, the approximate maximum absorption capacity of each candidate optimal absorption plan and the upper limit of the annual operating voltage indicators and the annual average investment benefits are considered comprehensively. Using the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS), the most economical and safe solution is selected. The simulation in the IEEE33 node system verifies the effectiveness of the method.

     

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