机构地区: 大连交通大学电气信息学院
出 处: 《变频器世界》 2017年第8期59-62,共4页
摘 要: 本文建立了考虑储能装置的机组组合优化调度模型,在求解模型时首先根据机组的经济性指标对机组进行启停优先顺序排序,采用启发式搜索策略确定机组的启停状态,之后采用粒子群算法分配机组出力、风电出力以及储能装置充放电功率。在含10机的风火联合系统上验证了所建立模型的正确性以及算法的有效性和收敛性。 This paper established a scheduling model of unit commitment optimization of energy storage device, the model is solved according to the index of the economy of the unit start and stop the priority order of the unit, using the heuristic search strategy to determine the on-off state of the unit, after using particle swarm algorithm to allocate the unit output, wind power and energy storage device for charging and discharging power. In the hot joint system with 10 machines on the model has been verified the correctness and effectiveness of algorithm and convergence.