计及入网电动汽车和分布式电源的配电系统重构

Distribution System Reconfiguration Considering Distributed Generators and Plug-in Electric Vehicles

分布式电源和入网电动汽车充放电功率的波动性和随机性使配电系统重构面临新的挑战。在此背景下,提出一种计及入网电动汽车和分布式电源的配电系统机会约束优化重构模型和求解方法。首先,以1d为重构周期、最小化网损为目标函数构建配电系统重构的数学模型;其次,在计及负荷和分布式电源不确定性的基础上分析了电动汽车的充放电策略,并基于半不变量法和Cornish-Fisher级数展开推导了随机潮流公式;之后,提出了改进的遗传算法求解所提出的优化模型。最后,以IEEE-33节点配电系统为例来说明所提出的模型和方法的有效性。

Distributed generations （DG） and plug-in electric vehicles （PEV） bring new challenges to the operation and reconfiguration of distribution systems due to their fluctuant and stochastic power output. Against this background and considering DG and PEV, a novel chance-constrained optimal reconfiguration model for distribution system and its solution are proposed. Firstly, taking one day as the reconfiguration period and power loss minimization as the objective function, mathematical model for distribution system reconfiguration is constructed; secondly, on the basis of considering uncertainty of load and DG, the charging/discharging strategy of PEV is analyzed, and based on cumulants and Cornish-Fisher series expansion the expression of stochastic power flow is derived, thirdly, an improved genetic algorithm is put forward to solve the proposed optimal model; finally, the effectiveness of the proposed model and method is validated by IEEE 33-bus distribution system.