计及风电场并网的机会约束规划的机组组合优化  

Unit Commitment Optimization Based on Chance-constrained Programming in Wind Power Integrated System

作　　者：陈璟华[1] 梁丽丽[1] 丁林军 周俊[2] 刘国祥 Chen Jing-hua;Liang Li-li;Ding Lin-jun;Zhou Jun;Liu Guo-xiang(School of Automation, Guangdong University of Technology, Guangzhou, 510006, Guangdong Province, China;State Grid Pingxiang City Anyuan District Electric Power Supply Branch, Pingxiang, 337000, Jiangxi Province, China;tate Grid Power Jiangxi Pingxiang Supply Branch Company, Pingxiang, 337000, Jiangxi Province, China)

机构地区：[1]广东工业大学自动化学院,广东广州510006 [2]国网江西省电力公司萍乡市安源区供电分公司,江西萍乡337000 [3]国网江西萍乡供电分公司,江西萍乡337000

出　　处：《广东工业大学学报》2017年第1期50-54,64,共6页Journal of Guangdong University of Technology

基　　金：广东省自然科学基金资助项目(S2013040013776);广东省教育厅育苗工程项目(2013LYM_0019)

摘　　要：由于风电出力的随机性,提出一种基于机会约束规划的含风电场的机组组合优化模型.该模型在考虑系统约束和发电机自身约束条件下,采用混沌离散粒子群优化算法安排机组的启停策略,再利用混沌文化粒子群优化算法实现负荷的经济分配.在此基础上,建立了以燃料耗量及污染气体排放量为最小的多目标优化模型,并引入蒙特卡洛随机模拟技术对机会约束条件进行校验,分析了机会约束条件在不同置信度要求下协调方案利润和风险的优势,为调度人员根据实际情况协调风险、利润及环境因素,实现最优化决策提供参考.1个风电场和10台火电机组的仿真试验证明了该方法的正确性和有效性.Because of the random nature of wind power output,a unit commitment optimization model with windfarm based on chance-constrained programming is proposed.The constraints of both power system and generatorare considered.Chaos Discrete Particle Swarm Optimization algorithm(CDPSO)is used to arrange thermal unitcommitment startup and shutdown and cultural chaos particle swarm optimization algorithm(CCPSO)is proposedto solve economic load dispatch.Based on it,Multi-objective optimization unit commitment optimization problemin wind power integrated system under the energy saving and lower emission is considered.The Monte Carlostochastic simulation techniques verified opportunity constraints and the superiority of opportunities constraintscoordination programs profit and risk under different confidence level are analyzed.It provides a new way ofthinking to coordinating profit,risk and environment benefits.A system with one wind power farm and10coalfiredplants was taken as a study example and the results show that the model is correct.

关 键 词：节能减排 机组组合优化 混沌文化粒子群优化算法 机会约束规划 

分 类 号：TM731[电气工程—电力系统及自动化]