摘要
风电、电动汽车接入电网和输电线路容量的不确定性会改变电网潮流。为了分析这种波动性、随机性对电网潮流的影响,首先建立了风电、电动汽车充电、波动负荷和输电线路容量的不确定概率模型。考虑配网内燃料电池、柴油发电机、微型燃气轮机等出力确定的其他分布式电源,以提升电网运行经济性和运行稳定性为目标,满足安全运行约束,建立了多目标配网随机交流最优潮流模型。提出利用遗传算法和2m+1点估计法求解含有不确定随机变量的最优潮流模型。最后利用IEEE34节点对比蒙特卡洛模拟法验证了本文方法的有效性和准确性。
The wind power,electric vehicle and line transfer capacity may cause changes in the network power flow. To examine the impact of the stochastie,fluetuant distributed generation and electric vehicle, uncertainty models are built at first. Then other distributed generations with certain power output are modeled. Aiming at the improvement of the economy and stability during operation of the distribution network, a multi-objective stochastic model is built to solve the AC optimal power flow considering the uncertain parameters, which is solved by genetic algorithm. In order to solve the problems having uncertainties in their parameters ,2m＋ 1 point estimate method is introduced. In the end, numerical cases demonstrate the effectiveness and exactness in comparison to the Monte Carlo simulation.
出处
《自动化与仪器仪表》
2017年第12期40-45,共6页
Automation & Instrumentation
关键词
随机交流最优潮流
不确定性模型
2m+1点估计
风电和电动汽车
stochasticAC optimal power flow
uncertainty modeling
2m ＋ 1 point estimate schemes
wind power generation andelectric vehicle
