考虑主动管理的配电网分布式光伏并行优化配置

主动管理技术的快速发展为分布式光伏发电大规模接入配电网提供了可能。将主动管理与分布式光伏优化配置相结合,以分布式光伏的安装位置、容量和主动管理措施为决策变量,建立以分布式光伏能量渗透率最大和电压偏差最小为目标函数的优化配置模型;利用基于二分K-均值聚类的多场景分析法处理光伏出力和负荷的不确定性及时序特性,克服K-均值聚类场景缩减对初始质心选取敏感的缺陷;提出基于并行计算的多场景分析和多目标分子微分进化算法对优化模型进行求解,得到配电网分布式光伏最优配置方案及主动管理策略。IEEE 33节点配电系统仿真结果表明,所提优化配置方法可有效提高分布式光伏消纳量并保证供电质量。

Parallel optimal allocation of distributed PV in distribution network considering active management

The rapid development of AM(Active Management) technology provides possibility for large-scale distributed PV(PhotoVoltaic) power generation accessing to distribution network. An optimal allocation model with the combination of AM and optimal distributed PV allocation, which takes the installation position, capacity, and AM measures as its decision variables and the maximum distributed PV energy permeability and the minimum voltage deviation as its objectives. The multi-scenario analysis based on dichotomous K-means clustering is used to deal with the uncertainties and temporal characteristics of PV output and load, which overcomes the shortage that K-means clustering scenario reduction is sensitive to the selection of initial centroid. The multi-scenario analysis and multi-objective differential evolution algorithm based on parallel computing are proposed to solve the optimization model, and the optimal PV allocation scheme and AM strategy of distribution network are obtained. The simulative results of IEEE 33-bus distribution network show that the proposed method can effectively improve the distributed PV penetration amount and ensure the power supply quality.