电网技术2018，Vol.42Issue(5)：1541-1548,8.DOI:10.13335/j.1000-3673.pst.2017.2180
电力市场环境下梯级水电站中长期调度与检修计划双层优化模型
Bi-Level Optimal Model of Mid-Long Term Scheduling and Maintenance Planning for Cascade Hydropower Stations in Electricity Market Environment
摘要
Abstract
In electricity market environment, to reduce influence of maintenance plan on operation revenue for cascade hydropower stations, a bi-level optimization model for mid-long term scheduling and maintenance planning is established. Mid-long term schedule optimization is performed in outer layer, and decision-making is carried out according to runoff and price forecast. Genetic algorithm is used to optimize cascade hydropower stations' output, and search optimal benefit space. Maintenance plan is created based on optimization carried out in inner layer. Impact of hydraulic and power coupling relationship between upstream and downstream station on maintenance schedule is specially considered to meet actual operating requirements. The optimal intermediate result of mid-long term schedule is taken as boundary conditions, and minimizing maintenance loss as optimal objective, including income loss caused by maintenance and outage risk loss. The mid-long term generating income and maintenance loss are merged into total revenue, taken as fitness function of genetic algorithm, so that joint optimization of mid-long term generation plan and maintenance plan is realized. Finally, taking a 1-reservoir 3-step hydropower system as an example, simulation analysis shows that the bi-level optimizing model has clear structure and strong practicability.关键词
梯级水电站/中长期调度/检修计划/双层优化/水力电力耦合关系Key words
cascade hydropower stations/medium and long term scheduling/maintenance plan/bi-level optimization/hydraulic and power coupling relationship分类
信息技术与安全科学引用本文复制引用
刘方,张粒子,蒋燕,蔡华祥,李秀峰,吴洋,祁鑫..电力市场环境下梯级水电站中长期调度与检修计划双层优化模型[J].电网技术,2018,42(5):1541-1548,8.基金项目
国家自然科学基金项目(51277071)；教育部中央高校基本科研业务费专项资金资助项目(2017XS033)；国家能源局科研项目(西南水电智能调度及合理消纳机制研究)；国家电网公司科技项目(DZB11201702968)。Project Supported by National Natural Science Foundation of China (51277071) （51277071）
The Fundamental Research Funds for the Central Universities (2017XS033) （2017XS033）
National Energy Bureau Research Project (Study On Intelligent Dispatching and Reasonable Utilization Mechanism of Southwest Hydropower) （Study On Intelligent Dispatching and Reasonable Utilization Mechanism of Southwest Hydropower）
Science and Technology Foundation of SGCC (DZB11201702968). （DZB11201702968）
