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中文摘要：
传统电力系统调度的目标函数为总燃料成本最小化,未将化石燃料燃烧所带来的污染物（如氧化硫、氧化氮）排放成本考虑在内.随着环境保护需求的日益增长,需要考虑计及排放的电力系统调度方案.首先,提出将排放物作为调度函数的约束条件进行建模;其次,提出一种更为优化的变搜索半径优化的多目标粒子群算法来处理系统模型;再次,针对蒙东地区某含风电的电力系统进行仿真,并将所得结果与传统粒子群算法、多目标差分进化算法、多目标粒子群算法所得结果进行比较.结果表明,本文所述方法在解决方案上实现了改进.
英文摘要：
The objective of traditional power system dispatching is to minimize the fuel cost,while the pollutants emissions brought by the burning of fossil fuels is not taken into account. Complying with the increasing demand of the environmental protection,it is necessary to consider the emissions from power system dispatching scheme.First,this paper establishes the environmental and economic dispatching function. Then,this paper proposes an optimal searching radius-varied multi-objective particle swarm algorithm to handle the system model. Finally,this paper simulates a wind power system in eastern Mongolia,and compares the results with conventional PSO,multi-objective differential evolution algorithm,as well as multi-objective particle swarm optimization. It shows that the method proposed in this paper is effective.
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