含不确定性负荷的水火电力系统随机优化调度  

Stochastic Optimization Scheduling Method for Hydrothermal Power Systems With Stochastic Loads

作　　者：吴杰康[1] 唐力 

机构地区：[1]广东工业大学自动化学院,广东省广州市510006 [2]广西右江水利开发有限责任公司,广西壮族自治区南宁市530026

出　　处：《中国电机工程学报》2012年第28期36-43,21,共8页Proceedings of the CSEE

基　　金：国家自然科学基金项目(50767001);国家863高技术基金项目(2007AA04Z197);高等学校博士学科点专项科研基金资助项目(20094501110002);广东省普通高校"电力节能与新能源技术"重点实验室专项基金项目(ZDSYS200701);广西自然科学基金项目(2011jjA60017)~~

摘　　要：针对水火电力系统负荷的不确定性,建立基于模糊机会约束规划的随机优化调度模型,分析负荷不确定性变化对水火电机组出力及火电机组能耗量、排放量的影响。将实际负荷与负荷预测的偏差看成一个模糊随机变量,并在火电机组煤耗量最小化、污染物排放最小化和水库蓄水量最大化3个目标函数中及功率平衡、机组出力调整等约束条件函数中均引入负荷这一随机变量。按照模糊机会约束和随机机会约束的确定性等价形式,将水火电力系统优化调度的不确定模型转化为确定性模型,并利用多目标问题的模糊满意度法进行求解。以一个8级梯级水电站和6台火电机组组成的水火电力系统为实例进行计算,验证所提出含不确定性负荷的水火电力系统随机调度模型的准确性和可行性。A stochastic scheduling model for hydrothermal power systems was presented based on fuzzy chance constrained programming, taking load demand for a random variable. An impact of load uncertainty on power output, energy consumption and emission of generators was carried out. The random variable of load demand was introduced into all objective functions and constraints. A stochastic scheduling model of hydrothermal power systems was converted into a determined form using fuzzy chance constrained programming and random chance constrained programming. A system with 8 cascaded plants and 6 coal-fired plants is taken for a study example, and a simulation with satisfactory results is carried out to illustrate the accuracy and feasibility of the proposed stochastic scheduling model of hydrothermal power systems with stochastic load.

关 键 词：水火电力系统 随机优化调度:随机负荷:模糊机 会约束规划 

分 类 号：TM73[电气工程—电力系统及自动化]