建立了电力系统经济调度模型,该模型以发电成本最小为目标,考虑了火电机组阀点效应和系统运行约束,并提出了求解该模型的饱和度自适应微分进化(saturation and adaptive differential evolution,SADE)算法。为避免算法搜索的盲目性,使...建立了电力系统经济调度模型,该模型以发电成本最小为目标,考虑了火电机组阀点效应和系统运行约束,并提出了求解该模型的饱和度自适应微分进化(saturation and adaptive differential evolution,SADE)算法。为避免算法搜索的盲目性,使算法既能集中于局部最优解又能兼顾全局最优解,引入了控制参数自适应调整策略和饱和度概念,该算法可避免"早熟"现象,收敛速度快。3机组、13机组和40机组算例结果验证了SADE算法的有效性。展开更多
In order to improve the efficiency of traffic signal control for an over-saturated intersection group, a nondominated sorting genetic algorithm Ⅱ（NSGA-Ⅱ） based traffic signal control optimization algorithm is prop...In order to improve the efficiency of traffic signal control for an over-saturated intersection group, a nondominated sorting genetic algorithm Ⅱ（NSGA-Ⅱ） based traffic signal control optimization algorithm is proposed. The throughput maximum and average queue ratio minimum for the critical route of the intersection group are selected as the optimization objectives of the traffic signal control for the over-saturated condition. The consequences of the efficiency between traffic signal timing plans generated by the proposed algorithm and a commonly utilized signal timing optimization software Synchro are compared in a VISSIM signal control application programming interfaces （SCAPI） simulation environment by using real filed observed traffic data. The simulation results indicate that the signal timing plan generated by the proposed algorithm is more efficient in managing oversaturated flows at intersection groups, and, thus, it has the capability of optimizing signal timing under the over-saturated conditions.展开更多
文摘建立了电力系统经济调度模型,该模型以发电成本最小为目标,考虑了火电机组阀点效应和系统运行约束,并提出了求解该模型的饱和度自适应微分进化(saturation and adaptive differential evolution,SADE)算法。为避免算法搜索的盲目性,使算法既能集中于局部最优解又能兼顾全局最优解,引入了控制参数自适应调整策略和饱和度概念,该算法可避免"早熟"现象,收敛速度快。3机组、13机组和40机组算例结果验证了SADE算法的有效性。
基金The National Natural Science Foundation of China(No.51208054)
文摘In order to improve the efficiency of traffic signal control for an over-saturated intersection group, a nondominated sorting genetic algorithm Ⅱ（NSGA-Ⅱ） based traffic signal control optimization algorithm is proposed. The throughput maximum and average queue ratio minimum for the critical route of the intersection group are selected as the optimization objectives of the traffic signal control for the over-saturated condition. The consequences of the efficiency between traffic signal timing plans generated by the proposed algorithm and a commonly utilized signal timing optimization software Synchro are compared in a VISSIM signal control application programming interfaces （SCAPI） simulation environment by using real filed observed traffic data. The simulation results indicate that the signal timing plan generated by the proposed algorithm is more efficient in managing oversaturated flows at intersection groups, and, thus, it has the capability of optimizing signal timing under the over-saturated conditions.
