为了在光伏计划接入容量的基础上制定其最优接入方案,最大程度发挥其无功调压能力对系统效能的贡献,本文提出一种计及调压能力的分布式光伏发电机会约束规划模型.所建规划模型充分考虑系统运行无功优化措施,利用光伏逆变器剩余容量、有载调压器分接头控制及电容器投切组合3种无功优化手段对配电网进行调压;以系统网损最小为目标,电压偏差为机会约束对光伏发电最优接入容量进行规划.针对光伏发电输出功率的概率分布时序特性,利用中值拉丁超立方抽样技术形成24个时段光伏与负荷初始时序样本;采用用多重积分法和Gram-Charlier级数展开得到配电网节点电压分布作为机会约束条件.根据模型特点,采用改进的随机权重粒子群算法对模型进行求解.最后,选取IEEE33节点系统进行仿真算例分析.仿真结果表明,在光伏发电规划过程中充分考虑光伏无功电压调节能力,能够改善系统电压质量,促进可再生能源高效利用.%In order to achieve optimal PV access plan based on PV plan access capacity and to maximize the contri-bution of PV reactive power regulation to system efficiency, this paper proposes a distributed PV generation chance constrained programming model considering voltage regulation ability.In the planning model the system operation of reactive power optimization measures is fully considered, and three kinds of reactive power optimization methods, such as residual capacity of photovoltaic inverter, tap control of on-load voltage regulator and combination of capaci-tor switching, are used to adjust the voltage of distribution network.With the goal of minimum system network loss, voltage deviation is the chance constraint to optimize the access capacity of photovoltaic power generation.In view of the time sequence characteristic of the probability distribution of the output power of photovoltaic power genera-tion, 24 initial time series samples of PV and load are formed by mid value Latin hypercube sampling.The distribu-tion of node voltage in distribution network as an chance constraint condition is obtained by using multiple integral method and Gram-Charlier series expansion.According to the characteristics of the model, the improved stochastic weighted particle swarm optimization is used to solve the model.Finally, the IEEE33 node system is selected for the simulation example analysis.The simulation results show that considering PV reactive power and voltage regula-tion ability in photovoltaic generation planning, we can improve system voltage quality and promote efficient utiliza-tion of renewable energy.
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