基于模糊逻辑拉格朗日松弛选择法的机组组合调度模型  

Unit commitment scheduling model based on fuzzy logic Lagrangian relaxation selection method

作　　者：张炀 祝宇翔 李江南 钟雨芯 毛文照 李展 ZHANG Yang;ZHU Yuxiang;LI Jiangnan;ZHONG Yuxin;MAO Wenzhao;LI Zhan(Shenzhen Power Supply Company,Shenzhen 518000,China;Qingdakeyue Corporation,Beijing 100084,China)

机构地区：[1]深圳供电局有限公司,广东深圳518000 [2]北京清大科越股份有限公司,北京100084

出　　处：《电气应用》2020年第12期99-103,共5页Electrotechnical Application

摘　　要：机组组合和调度计划编制是电力现货交易的基础,为解决电力现货交易背景下的机组组合问题,提出了一种改进的拉格朗日松弛法。利用拉格朗日乘子λ的模糊逻辑整定,考虑旋转备用、起动费用和最小停机时间等约束条件,建立了机组组合调度模型,并在一个由10台发电机组成的基准系统上进行了仿真测试。结果表明与传统方法相比,所提方法在成功求解机组组合问题的同时,降低了发电机组系统的运行成本。Unit commitment and scheduling planning are the basis of spot trading.In order to solve the unit commitment problem under the background of spot trading,an improved Lagrangian relaxation method is proposed.Using the fuzzy logic setting of Lagrangian multiplierλ,considering the commitment of rotation reserve,start-up cost and minimum shutdown time,the unit combined scheduling model is established,and the simulation test is carried out on a benchmark system composed of 10 generators.The results show that compared with the traditional method,the method proposed in this paper not only solves the unit commitment problem successfully,but also reduces the operating cost of the generating unit system.

关 键 词：模糊逻辑 拉格朗日松弛法 机组调度 机组组合 最优化 

分 类 号：TM73[电气工程—电力系统及自动化]