SVG-Capacitor Joint Configuration Strategy for Photovoltaic Power Station Based on Comprehensive Cost Evaluation

Da Li, En Meng, Haixing Zheng, Tingzhe Pan
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Abstract

In the dual-carbon environment, the grid-connection of photovoltaic power stations has increasingly become a low-carbon and green means of new energy generation. However, the uncertainty of the output of photovoltaic power stations has brought an impact on the power grid that cannot be ignored. How to reasonably allocate reactive power is an important guarantee to alleviate this problem. Therefore, an SVG-capacitor joint configuration strategy for photovoltaic power station based on comprehensive cost evaluation is proposed in this paper. First, an equivalent model of the external power grid of photovoltaic power stations is established to simplify the calculation difficulty. Secondly, SVG-capacitor joint allocation strategy for photovoltaic power stations based on the comprehensive cost evaluation is proposed, which takes the minimum comprehensive annual cost of SVG-capacitor configuration as the optimization objective, and takes into account the constraints of grid operation safety, reactive power compensation demand, capacity constraints, etc. Finally, the particle swarm optimization algorithm is used to optimize the solution. The simulation results verify the effectiveness of this strategy
基于综合成本评估的光伏电站svg -电容器联合配置策略
在双碳环境下,光伏电站并网发电日益成为一种低碳、绿色的新能源发电手段。然而,光伏电站输出的不确定性给电网带来了不可忽视的影响。如何合理配置无功功率是缓解这一问题的重要保证。为此,本文提出了一种基于综合成本评估的光伏电站svg -电容器联合配置策略。首先,建立光伏电站外网等效模型,简化计算难度;其次,提出了基于综合成本评价的光伏电站svg -电容器联合配置策略,以svg -电容器配置年综合成本最小为优化目标,同时考虑电网运行安全约束、无功补偿需求约束、容量约束等因素;最后,采用粒子群优化算法对解进行优化。仿真结果验证了该策略的有效性
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