提出一种基于带精英策略的快速非支配排序遗传算法(non-dominated sorting genetic algorithm-II,NSGA-II)和逼近理想解排序(technique for order preference by similarity to ideal solution,TOPSIS)的含VSC-HVDC交直流系统多目标最...提出一种基于带精英策略的快速非支配排序遗传算法(non-dominated sorting genetic algorithm-II,NSGA-II)和逼近理想解排序(technique for order preference by similarity to ideal solution,TOPSIS)的含VSC-HVDC交直流系统多目标最优潮流算法,统一协调系统运行的经济性及环保要求等目标。首先,基于含VSC-HVDC交直流系统的稳态模型,建立了综合考虑网络损耗和环境因素的多目标最优潮流模型;然后,采用混合编码方式,通过NSGA-II得到帕累托最优解集;最后,采用TOPSIS法评估各决策方案的相对优劣,以帮助运行人员选取有效的折中解。基于IEEE 14节点系统和IEEE 118节点系统的算例结果验证了所提方法的有效性。展开更多
现有配电网安全域模型和安全距离模型均以确定性描述且未考虑三相不平衡因素,为此,提出了一种三相不平衡主动配电网(active distribution network,ADN)随机模糊安全距离模型及其多目标优化提升方法。在将传统ADN安全域模型拓展到能计及...现有配电网安全域模型和安全距离模型均以确定性描述且未考虑三相不平衡因素,为此,提出了一种三相不平衡主动配电网(active distribution network,ADN)随机模糊安全距离模型及其多目标优化提升方法。在将传统ADN安全域模型拓展到能计及三相不平衡因素基础上,进一步计及风电出力随机模糊性,提出一种三相不平衡ADN安全域和随机模糊安全距离模型;针对不满足安全裕度运行点问题,提出以风电主动控制和无功补偿为手段,建立兼顾安全距离、弃风量和有功网损等多目标优化的随机模糊潮流安全距离提升模型,并结合随机模糊模拟、三相前推回代潮流算法和NSGA-II算法对多目标最优模型求解。改进的三相不平衡IEEE33节点算例仿真及其结果表明了所提方法的有效性。展开更多
The artificial bee colony(ABC) algorithm is improved to construct a hybrid multi-objective ABC algorithm, called HMOABC, for resolving optimal power flow(OPF) problem by simultaneously optimizing three conflicting obj...The artificial bee colony(ABC) algorithm is improved to construct a hybrid multi-objective ABC algorithm, called HMOABC, for resolving optimal power flow(OPF) problem by simultaneously optimizing three conflicting objectives of OPF, instead of transforming multi-objective functions into a single objective function. The main idea of HMOABC is to extend original ABC algorithm to multi-objective and cooperative mode by combining the Pareto dominance and divide-and-conquer approach. HMOABC is then used in the 30-bus IEEE test system for solving the OPF problem considering the cost, loss, and emission impacts. The simulation results show that the HMOABC is superior to other algorithms in terms of optimization accuracy and computation robustness.展开更多
文摘提出一种基于带精英策略的快速非支配排序遗传算法(non-dominated sorting genetic algorithm-II,NSGA-II)和逼近理想解排序(technique for order preference by similarity to ideal solution,TOPSIS)的含VSC-HVDC交直流系统多目标最优潮流算法,统一协调系统运行的经济性及环保要求等目标。首先,基于含VSC-HVDC交直流系统的稳态模型,建立了综合考虑网络损耗和环境因素的多目标最优潮流模型;然后,采用混合编码方式,通过NSGA-II得到帕累托最优解集;最后,采用TOPSIS法评估各决策方案的相对优劣,以帮助运行人员选取有效的折中解。基于IEEE 14节点系统和IEEE 118节点系统的算例结果验证了所提方法的有效性。
文摘现有配电网安全域模型和安全距离模型均以确定性描述且未考虑三相不平衡因素,为此,提出了一种三相不平衡主动配电网(active distribution network,ADN)随机模糊安全距离模型及其多目标优化提升方法。在将传统ADN安全域模型拓展到能计及三相不平衡因素基础上,进一步计及风电出力随机模糊性,提出一种三相不平衡ADN安全域和随机模糊安全距离模型;针对不满足安全裕度运行点问题,提出以风电主动控制和无功补偿为手段,建立兼顾安全距离、弃风量和有功网损等多目标优化的随机模糊潮流安全距离提升模型,并结合随机模糊模拟、三相前推回代潮流算法和NSGA-II算法对多目标最优模型求解。改进的三相不平衡IEEE33节点算例仿真及其结果表明了所提方法的有效性。
基金Projects(61105067,61174164)supported by the National Natural Science Foundation of China
文摘The artificial bee colony(ABC) algorithm is improved to construct a hybrid multi-objective ABC algorithm, called HMOABC, for resolving optimal power flow(OPF) problem by simultaneously optimizing three conflicting objectives of OPF, instead of transforming multi-objective functions into a single objective function. The main idea of HMOABC is to extend original ABC algorithm to multi-objective and cooperative mode by combining the Pareto dominance and divide-and-conquer approach. HMOABC is then used in the 30-bus IEEE test system for solving the OPF problem considering the cost, loss, and emission impacts. The simulation results show that the HMOABC is superior to other algorithms in terms of optimization accuracy and computation robustness.
