摘要
近年来,风电在电力系统的占比逐渐增大,但存在较为严重的弃风现象,为了合理减少弃风,响应国家政策,提高系统风电渗透率,本文在传统火电机组运行成本及环保成本的基础上,纳入基于灵活惩罚因子的弃风惩罚成本及系统的旋转备用成本,同时计及火电机组爬坡和备用容量约束等一系列安全约束,建立含风电场的电力系统综合经济调度模型。在确保系统安全及经济性的情况下合理减少弃风,提高风电消纳。最后运用粒子群改进的细菌觅食混合算法对IEEE30节点系统进行了仿真,仿真结果表明本文所提出模型具有合理性与可行性。
In recent years,the proportion of wind power in the power system has gradually increased,but there is a serious wind curtailment.In order to reduce the abandonment of wind reasonably,respond to national policies to improve the system′s wind power penetration rate,in this paper based on the traditional thermal power unit operation cost and environmental cost,incorporating abandonment penalty cost based on flexible penalty factor and rotating reserve cost of the system,and a series of constraints were considered and analyzed,such as the ramp constraints,the rotating reserve constraint and so on.Then a comprehensive economic dispatch model was established for the power systems with wind farms.Abandoning wind reasonable and orderly without affecting system safety and economy was ensured,and the using of wind power was increased.The optimal solution and simulation of IEEE 30-bus system were carried out by use of modified bacterial foraging algorithm combined with particle swarm optimization.The simulation results verified the feasibility and rationality of the algorithm model.
作者
王卓群
刘蕾
马平
WANG Zhuoqun;LIU Lei;MA Ping(Electric Engineering College of Qingdao University,Qingdao 266071,China)
出处
《青岛农业大学学报（自然科学版）》
2020年第1期60-66,共7页
Journal of Qingdao Agricultural University(Natural Science)
关键词
风电
弃风惩罚
旋转备用
经济调度
细菌觅食算法
wind power
penalty of wind curtailment
rotating spare cost
economic dispatching
bacterial foraging algorithm
