基于粒子群算法的含光伏电站的配电网无功优化

对于含光伏电站的低压配电网,电压等级降低了,输电线路上的电压降不仅受无功功率的影响,有时有功功率引起的电压波动更加明显.由于有功和无功引起的电压变动分量是代数和的关系,因此无功补偿在一定程度上可以弥补有功功率变动造成的电压波动问题.以系统运行成本最优为目标函数,包括采用补偿措施后减小的配电网功率损耗费用和加装无功补偿装置的费用2个部分,建立含光伏电站配电网的无功补偿优化数学模型.该模型考虑了光伏电站并网逆变器的无功调节能力,采用改进的多组织粒子群算法对规划模型进行求解,通过算例分析验证了该模型与算法的可行性和有效性.

Reactive Power Optimization of Distribution Network with Photovoltaic Power Plant Based on PSO

For low-voltage distribution network with photovoltaic （PV） power plants, when voltage level reduces, the voltage drop on transmission line is not only influenced by reactive power, but also fluctuates more obviously due to active power. The voltage fluctuation components caused by active and reactive power are algebraic sum relations, so the reactive power compensation can make up for the voltage fluctuations caused by the change of active power to a certain extent. Taking the optimal system operation cost as the target function, including the reduced power loss cost of distribution network after compensation and the added cost of reactive power compensation device, this paper established the optimization mathematical model of reactive power compensation for distribution network with PV power plant. The model considered the reactive power regulation capability of grid-connected inverter in PV power plant, and adopted the improved multi-organizational particle swarm optimization （PSO） to solve the programming model. Finally, the accuracy and validity of the model and algorithm were validated by example analysis.