摘要
风电、光伏发电系统具有天然的波动性与随机性特点,使发电系统风险评估难度增加。本文采用序贯蒙特卡洛算法对发电系统可靠性进行研究,再以发电系统规划与运行的总费用期望等年值最小为优化目标,综合考虑可再生能源规划建设成本、可再生能源年度补贴收益、常规火电机组年度运行成本、发电系统碳市场收益及系统电量损失总成本等因素,构建计及发电系统可靠性的风光机组容量配比优化模型。最后研究典型算例IEEE-RBTS系统下风光发电容量最优配比,并在某区域电网进行仿真分析,验证了该模型的有效性。
Wind power and photovoltaic power generation systems have the characteristics of natural volatility and randomness,which increases the difficulty of risk assessment of power generation systems.In this paper,the sequential Monte Carlo method is used to study the reliability of power generation system,the optimization goal is to minimize the expected annual value of the total cost of the planning and operation of the power generation system,considering factors such as the planning and construction cost of renewable energy,the annual subsidy income of renewable energy,the annual operating cost of conventional thermal power units,the carbon market income of the power generation system,and the total cost of system power loss,etc.An optimization model for the capacity ratio of wind and solar power units considering the reliability of the power generation system is established.Finally,the optimal ratio of wind and solar power generation capacity under a typical example IEEE-RBTS system is studied,and further simulation verification is carried out in a certain regional power grid.The calculation example analysis verifies the validity of the model.
作者
宋宇
李涵
楚皓翔
李斌
SONG Yu;LI Han;CHU Haoxiang;LI Bin(State Grid Jiangsu Electric Power Co.,Ltd Extra-High Voltage Branch Company,Nanjing 211102)
出处
《电气技术》
2022年第6期49-58,68,共11页
Electrical Engineering
关键词
蒙特卡洛
风光互补
可靠性
经济性
Monte Carlo
wind-solar hybrid
reliability
economy
