中国电机工程学报2024，Vol.44Issue(16)：6334-6346,13.DOI:10.13334/j.0258-8013.pcsee.232358
电力市场环境下生物质气化耦合燃煤机组与风电场联合自调度优化策略
Joint Self-scheduling Optimization Strategy of Biomass Gasification Coupled Coal-fired Thermal Power Unit and Wind Farm Under Power Market Environment
摘要
Abstract
Biomass gasification coupled coal-fired power generation technology can enhance the fuel and operation flexibility of thermal power units,thereby promoting the high-level accommodation of wind power as well as the effective exploitation of biomass energy.In this paper,an operation model reflecting the internal energy flow processes and the external output characteristics of the biomass gasification coupled CHP unit is firstly established.Then,from the perspective of an energy supplier,a multi-objective self-scheduling strategy reflecting the expected benefits and conditional value-at-risk(CVaR)of the coalition is proposed,considering the multi-stage decision framework for the joint participation of the coupled unit and the wind farm in the day-ahead,intra-day and real-time balancing markets.Finally,the multi-objective optimization solution procedure for constructing the Pareto front is illustrated using the augmented e-constraint method based on lexicographic optimization.The numerical analysis is performed to demonstrate that the addition of biomass gasification subsystem and the joint operation of the 350 MW CHP unit and the 600 MW wind farm can increase their economic benefits by about 6％,as well as reduce the operation risk of the energy supplier.关键词
生物质气化耦合技术/燃煤热电联产机组/风电出力/联合运行/自调度策略Key words
biomass gasification coupling technology/coal-fired combined heat and power unit/wind power/joint operation/self-scheduling strategy分类
信息技术与安全科学引用本文复制引用
郭旭升,娄素华,张金平,李湃..电力市场环境下生物质气化耦合燃煤机组与风电场联合自调度优化策略[J].中国电机工程学报,2024,44(16):6334-6346,13.基金项目
国家重点研发计划项目(2022YFB2403004) （2022YFB2403004）
国家自然科学基金项目(51977087).National Key R&D Program of China(2022YFB2403004) （51977087）
Project Supported by National Natural Science Foundation of China(51977087). （51977087）
