含风电的电力系统月度机组组合和检修计划联合优化调度

A Joint Optimization Approach on Monthly Unit commitment and Maintenance Scheduling for Wind Power Integrated Power Systems

恰当考虑风电出力的随机性和相关性,进行含风电的电力系统月度机组组合和检修计划联合调度,对于提高风电的接纳能力和系统中期运行的可靠性和经济性都具有重要的意义。根据风速历史数据统计得到风电出力的月度概率分布,构建基于机会约束规划的月度机组组合和检修计划联合调度随机模型,并给出随机模型的确定化转换方法。为实现机组发电调度和检修计划的联合优化,模型中引入了检修费用及检修相关约束,并针对机组组合和检修计划之间的耦合关系,设置相关时段索引变量,建立相互之间的关联矩阵。利用混合整数线性规划法对模型进行求解。通过118节点系统的仿真计算,验证所提模型的合理性和方法的有效性。

The joint dispatch of monthly unit commitment and maintenance scheduling considering the randomness and correlation of the wind power appropriately for wind power integrated power system plays an important role in improving the acceptance ability of wind power as well as the reliability and economy of medium-term operation. The stochastic behavior of wind power can be described as probability distribution based on the historical data of wind speed, and thus the stochastic joint dispatch model of monthly unit commitment and maintenance scheduling based on chance-constrained programming is formulated. The method of stochastic model transferring to determined model was proposed. To achieve the joint optimization of generation dispatch and maintenance scheduling, the maintenance cost as well as the constraints of maintenance were introduced. The index variables of them were set respectively and incidence matrix was created considering the coupling between unit commitment and maintenance scheduling. Finally, the proposed model was solved by mixed integer linear programming. The simulation results of IEEE 118 buses system verified the rationality and efficiency of the proposed method.