CAJ | 학술논문

在环境经济调度模型中，为同时降低火电机组的燃料成本和污染气体排放量进行多目标优化，模型引入阀点效应并考虑网损，在满足功率平衡和出力限制的前提下，采用一种基于 JADE 平台下的粒子群多目标优化算法对模型进行求解。算法吸收了粒子群算法的进化机制，将 Pareto 占优策略和拥挤距离相结合并应用在粒子群算法中，添加了动态惯性权重特性和小概率变异，提高了算法全局搜索能力。在 JADE 平台下搭建算法模型，并运用 IEEE-30节点6机组和 IEEE-118节点40机组的标准测试系统进行仿真，结果表明该算法提高了系统的计算速度，改进了算法的并行性，更适合求解大规模复杂系统。
재배경경제조도모형중，위동시강저화전궤조적연료성본화오염기체배방량진행다목표우화，모형인입벌점효응병고필망손，재만족공솔평형화출력한제적전제하，채용일충기우 JADE 평태하적입자군다목표우화산법대모형진행구해。산법흡수료입자군산법적진화궤제，장 Pareto 점우책략화옹제거리상결합병응용재입자군산법중，첨가료동태관성권중특성화소개솔변이，제고료산법전국수색능력。재 JADE 평태하탑건산법모형，병운용 IEEE-30절점6궤조화 IEEE-118절점40궤조적표준측시계통진행방진，결과표명해산법제고료계통적계산속도，개진료산법적병행성，경괄합구해대규모복잡계통。
In the environmental economic dispatching model,for reducing fuel costs of the thermal power unit and emission load of polluted gas at the same time,multi-objective optimization was conducted. The model introduced valve point effect and considered transmission losses,meanwhile,on the premise of satisfying power balance and output limit,a kind of parti-cle swarm multi-objective optimization based on JADE platform was used for solving. The algorithm absorbed evolution mechanism of particle swarm optimization(PSO),combined and applied Pareto dominant strategy and crowding distance in PSO,added dynamic inertia weight characteristic and small probability variation and improved global searching ability of the algorithm. On JADE platform,the algorithm model was set up,standard testing systems of IEEE-30 node six units and IEEE-1 1 8 node forty units were used for simulation. The results indicate that this algorithm could improve calculation speed of the system and concurrency of the algorithm which may be more suitable to solve large-scale and complicates system.