含大型风电场的环境经济调度模型与解法  

Model and Solution for Environmental/Economic Dispatch Considering Large-scale Wind Power Penetration

作　　者：邱威 张建华[1] 刘念[1] 

机构地区：[1]电力系统保护与动态安全监控教育部重点实验室(华北电力大学),北京市昌平区102206

出　　处：《中国电机工程学报》2011年第19期8-16,共9页Proceedings of the CSEE

基　　金：国家863高技术基金项目(2008AA05Z216);国家自然科学基金项目(51007022)~~

摘　　要：大规模风电并网给电力系统发电调度带来了新的不确定性因素。基于多目标机会约束规划,构建含风电场环境经济调度的随机优化模型,将燃煤机组的发电成本最小和污染气体排放量最小同时作为目标函数,并计及系统正、负旋转备用容量约束。利用风电出力的分布函数将随机模型转化为确定性模型。设计一种包含多目标优化和辅助决策的2阶段解法,该方法在求出模型的Pareto最优集后,能为运行人员提供决策指导。以含40台燃煤机组和1个大型并网风电场的电力系统为例进行环境经济发电调度,结果表明,所提模型和解法是可行、有效的。Integrating the power generated by large-scale wind farm into power grid introduces an extra factor of uncertainties for generation dispatch. Based on multiobjective chance constrained programming, an environmental/economic dispatch model was formulated for the system incorporating wind farm. Minimizing both the fuel cost and emission of atmospheric pollutants of thermal generators were considered as objective functions. The up spinning reserve and the down spinning reserve constraints were included in the model. According to the cumulative distribution lhnction of wind power, the stochastic optimization problem was transformed to a deterministic one. A two-stage approach incorporating multiobjective optimization and decision making was developed to solve the problem. In this approach, the Pareto optimal set could be pruned in order to help the decision maker to select a final solution. The proposed generation dispatch method was tested on a system consisting of 40 thermal generators and one large-scale wind farm, the results obtained demonstrate the effectiveness of the proposed model and algorithm.

关 键 词：风电 环境经济调度 机会约束规划 多目标优化 决策 

分 类 号：TM73[电气工程—电力系统及自动化]