中文摘要：

微网并网模式下,针对微网中光伏、风电及负荷等不确定因素的影响,在满足系统各个约束条件下,建立了基于机会约束规划的微网动态经济调度模型。模型以微网总的运行成本最小为目标,综合考虑了可控机组燃料成本、CO2排放治理成本、机组维护成本,低压配电网有功购买成本和旋转备用购买成本等。采用概率约束形式刻画了微网系统运行的可靠性,并考虑了可控机组的出力约束及爬坡约束。针对帝国竞争算法存在收敛速度慢和易陷入局部最优的问题,通过引入混沌原理和随机模拟技术,提出改进帝国竞争算法求解所建数学模型。最后,以一个微网系统为例,分析不同可靠性水平对系统经济性和调度结果的影响,同时比较了所提算法和常规算法收敛特性,验证了所提算法的有效性。

英文摘要：

Considering the influences of the uncertainty of the photovoltaic power generation, wind power genera- tion and load in microgrid, this paper sets up a mathematical model of microgrid dynamic economic dispatch based on chance constrained programming on the premise of each constraint of the system. The following costs： the mini- mum total operation costs of the microgrid, the controlled unit fuel costs, the emission control cost of carbon diox- ide, the unit maintenance costs, the active power buying costs and spinning reserve buying costs from distribution network, have been taken into consideration. This paper used probability constraints to depict the reliability of the microgrid operation, and considered the output constraints and climbing constraints of the controlled units. In order to solve the problems that imperialist competitive algorithm tends to fall to local minimum easily and converge slow- ly, an improved imperialist competitive algorithm is proposed to improve the mathematical model by introducing the chaos theory and stochastic simulation technology. Finally, taking an microgrid system as an example, this paper analyses the influence of microgrid economy and the scheduling results in different reliability probability level. It al- so compares the convergence properties of the algorithm with the conventional algorithm in order to verify the effec- tiveness of the algorithm.