基于仿射理论的配电网供电能力的研究 *
Research on Power Supply Capability of Distribution Network Based on Affine Theory
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摘要: 为了解决风光等分布式电源入网对电力系统稳定性的影响,处理好分布式电源出力波动带来的电力系统故障,利用仿射数学理论的方法建立了光伏和风机出力不确定性的区间模型,研究了复仿射潮流算法,最后结合粒子群算法进行了最大供电能力的寻优。算例验证表明,分布式电源的接入对电力系统供电能力产生了较大的影响,复仿射潮流算法下可以给出系统节点电压、负载率区间,以及最大供电能力区间,该方法为分布式电源并网对电力系统的影响提供了定量分析的依据。Abstract: In order to solve the influence of distributed power sources such as wind and sunlight on the stability of the power system, and to deal with power system failures caused by distributed power output fluctuations, an affine mathematical theory method is used to establish an interval model of photovoltaic and wind turbine output uncertainty. The complex affine power flow algorithm is studied. Finally, the optimization of the maximum power supply capacity is performed in combination with the particle swarm optimization algorithm. The verification of a numerical example shows that the access of distributed power sources has a large impact on the power supply capacity of the power system. The complex affine power flow algorithm can give the system node voltage, load rate interval, and maximum power supply interval. This method provides a basis for quantitative analysis of the influence of distributed power grids on the power system.
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