基于树木生长算法的含UPFC的最优潮流计算

最优潮流(OPF)计算是一个非凸优化问题,统一潮流控制器(UPFC)的引入增加了OPF问题的非凸程度,使得基于内点法的传统优化算法难以获取全局最优解。文中提出基于树木生长算法(TGA)的计及UPFC的最优潮流计算方法,将发电成本与有功网损、电压偏移加权作为目标函数,并考虑网络与UPFC设备的安全运行约束,优化了OPF模型。最后基于IEEE 30节点系统以及南京西环网116节点实际系统进行算例测试,对比TGA、粒子群与内点法的结果,并使用蒙特卡洛方法对不同的启发式算法分别进行50次计算,验证了TGA具有更好的求解精度与鲁棒性。

Optimal power flow with UPFC based on tree growth algorithm

Optimal power flow (OPF) calculation is a non-convex optimization problem. The introduction of unified power flow controllers (UPFC) increases the non-convex degree of the original OPF problem, making it difficult to find the global optimal solution based on the interior point method. Therefore, the tree growth algorithm (TGA) which can solve the global optimal solution is applied to the OPF calculation of power systems. Then an OPF model with UPFC based on TGA is formulated. In this OPF formulation, the power generation cost, active network loss, and voltage offset are taken as objective functions, while the safe operation constraints of the network with UPFC are considered. Finally, an example test is carried out on the IEEE 30-bus system and an actual system of Nanjing West Ring Network. Simulation results of the TGA algorithm, particle swarm optimization, and interior point method are compared to verify the effectiveness of the proposed algorithm.#$NLKeywords: unified power flow controller; optimal power flow; meta heuristic algorithm; tree growth algorithm