基于配电网动态重构的分布式光伏消纳策略

为了提升含光伏并网的配电网中光伏的消纳率,提出一种基于配电网动态重构的新型分布式光伏消纳策略。综合考虑各时段负荷需求变化、分布式光伏出力不确定性和开关切换次数等因素,建立以光伏消纳比最大化和开关切换次数最少化为优化目标的配电网多目标优化重构模型。根据矩形公式与光伏出力特点,提出最短置信区间快速求解法,该方法能够快速计算任意置信水平的Beta分布最短置信区间,解决光伏出力误差区间估计不准确的问题。设计一种新型的多目标指数微分进化算法对模型进行求解,该算法将指数函数既是凹函数又是减函数的特性引入微分进化算法,达到兼顾个体多样性和收敛速度的效果。以分布式光伏接入IEEE 33节点系统为例,验证了所提策略的有效性。

Distributed photovoltaic consumption strategy based on dynamic reconfiguration of distribution network

In order to improve the photovoltaic consumption rate of distribution network integrated with photo-voltaic, a new distributed photovoltaic consumption strategy is proposed based on dynamic reconfiguration of distribution network. An optimal multi-objective reconfiguration model of distribution network with the optimization objects of maximum photovoltaic consumption ratio and minimum switching times is established, which comprehensively considers the factors of load demand variation in each period, uncertainty of distributed photovoltaic output and switching times, etc. A fast solution method of the shortest confidence interval is proposed according to the rectangular formula and characteristics of photovoltaic output, which can quickly calculate the shortest confidence interval of Beta distribution at any confidence level, and solve the problem of inaccurate estimation of photovoltaic output error interval. A new multi-objective index differential evolution algorithm is designed to solve the model, which introduces the characteristics of exponential function as both concave function and subtraction function into differential evolution algorithm, and achieves the effect of considering both individual diversity and convergence speed. A case of IEEE 33-bus system integrated with distributed photovoltaic is taken as an example to verify the effectiveness of the proposed strategy.