摘要
梯级水电站联合优化调度不仅能增加发电量,而且调节速度快,可以弥补风力发电、光伏发电等新能源波动性大的缺点,提高新能源的系统接纳能力。考虑到自然来水量、风电出力、光伏发电出力和负荷的不确定性,引入模糊理论,将其用梯形模糊数来表示,用梯级水电站进行优化控制,综合考虑发电燃料费用最少、碳排放收益最大以及火电机组波动最小这3个目标,允许决策在一定可信度下违反约束条件,将模糊机会约束条件转化为清晰等价类,建立基于可信性理论的模糊机会约束的多目标优化调度模型,并用改进的帝国竞争算法来求解。选择一个含风力发电和光伏发电的水火系统作为实例进行计算,算例结果表明,所提出的模型和算法有效实用。
Optimal dispatch for cascade hydropower can not only increase the generating capacity ,but also lead to faster adjustment which compensates for the disadvantage of wind power ,solar power .Reservoir inflow ,wind power output ,PV output and power load in a power system composed of wind power generation ,photovoltaic generation ,cascade hydro power and thermal power are ex‐pressed as trapezoidal fuzzy parameters according to fuzzy theory .A control function is introduced to coordinate the three objective functions ,which include coal consumption minimization ,carbon trading profit maximization and thermal power fluctuation minimiza‐tion .A multi-objective optimal dispatching model based on credibility theory and fuzzy chance constraint is presented ..Imperialist competition algorithm is presented to solve the model .A system with wind power generation ,photovoltaic generation ,cascade hydro-power and thermal power is taken as a study example and the results show that the model and the optimization algorithm are both correct .
出处
《中国农村水利水电》
北大核心
2015年第6期174-178,182,共6页
China Rural Water and Hydropower
关键词
可信性理论
梯级水电
新能源
帝国竞争算法
credibility theory
cascade hydro power
new energy
imperialist competition algorithm
作者简介
黄炳翔（1989-），男，硕士研究生，研究方向为新能源优化调度。E—mail：stoneboy007@163．com。
