考虑主动管理的分布式光伏发电消纳能力研究

随着分布式光伏接入配电网逐渐增多，其消纳能力越来越受到人们关注。文章对考虑主动管理的分布式光伏消纳能力进行了研究，提出了主动配电网中分布式光伏发电最大消纳量的计算方法。在分析分布式光伏发电和负荷的时序特性的基础上，提出了综合考虑混沌思想和自适应度调整的改进粒子群算法，研究了削减分布式电源出力、调节有载调压变压器抽头、无功补偿等主动管理措施对分布式光伏最大消纳量的影响。IEEE 33节点配网系统验证了所提模型的合理性和算法的有效性，3种主动管理措施能有效提高分布式光伏的最大消纳量。

Consumptive Ability Analysis for Distributed Photovoltaic Generation Considering Active Management

With the distributed photovoltaic generation connected to distribution network gradually increases, its consumptive ability has been paid more and more attention. This paper studies the consumptive ability of distributed photovoltaic generation with considering active management, and proposes the maximum consumption calculation method of distributed photovoltaic generation in active distribution network. Based on the analysis on the timing characteristics of distributed photovoltaic generation and load, we propose the improved particle swarm optimization algorithm with comprehensively considering chaos theory and adaptive adjustment, and study the influence of some active management measures on the maximum consumption of distributed photovoltaic generation, such as distributed power output curtailment, on-load tap changing transformer regulation, reactive power compensation and so on. IEEE 33 node distribution network system verifies the rationality of the proposed model and the effectiveness of the algorithm, and the three active management measures can effectively improve the maximum consumption of distributed photovoltaic generation.