面向节能发电调度的电力系统多目标优化调度模型  

Multi-objective Optimal Dispatching Model for Energy-saving Power Generation Dispatching

作　　者：袁泉 姚海成[1] 周毓敏[1] 张德亮 黄红伟 YUAN Quan;YAO Hai-cheng;ZHOU Yu-min;ZHANG De-liang;HUANG Hong-wei(China Southern Power Grid Power Dispatch Control Center,Guangzhou 510663 China;Beijing Qingdakeyue Corporation,Beijing 100084 China)

机构地区：[1]中国南方电网电力调度控制中心,广东广州510663 [2]北京清大科越股份有限公司,北京100084

出　　处：《自动化技术与应用》2020年第4期99-103,共5页Techniques of Automation and Applications

摘　　要：为实现电力系统节能减排及提高系统对风电等新能源的消纳能力,本文从电力系统节能发电角度,提出了一种电力系统多目标优化调度模型。该优化调度模型充分考虑了机组发电成本的经济型、风电场消纳能力最大化以及环境污染最小化等三个因素,在传统优化调度模型基础上建立了新的多目标优化调度模型。并采用第二代非劣支配排序遗传算法(Non-dominated Sorting Genetic Algorithm II,NSGA-II)对调度模型进行优化求解。最后实际算例结果表明,所提的优化调度模型在满足各类约束条件下能够实现电力系统的节能减排调度效果。In order to realize energy saving and emission reduction in power system and improve the system’s ability to absorb new energy such as wind power, a multi-objective optimal dispatching model of power system is proposed from the viewpoint of energy saving and power generation in power system. The optimal dispatching model fully considers three factors: economic cost of generating units, maximization of wind farm absorptive capacity and minimization of environmental pollution, and establishes a new multi-objective optimal dispatching model based on the traditional optimal dispatching model.And the NSGA-II algorithm is used to optimize the scheduling model. Finally, a practical example shows that the proposed optimal dispatching model can achieve the energy-saving and emission reduction dispatching effect of power system under various constraints.

关 键 词：节能发电调度 电力系统 多目标优化 调度模型 NSGA-Ⅱ算法 

分 类 号：TM73[电气工程—电力系统及自动化]