风水火系统长期优化调度方法  

A Long-term Optimal Scheduling Method for Wind-hydro-thermal Power Systems 122

作　　者：葛晓琳[1] 张粒子[2] 舒隽[2] 

机构地区：[1]上海电力学院电气工程学院,上海市杨浦区200090 [2]华北电力大学电气与电子工程学院,北京市昌平区102206

出　　处：《中国电机工程学报》2013年第34期153-161,24,共9页Proceedings of the CSEE

基　　金：国家自然科学基金项目(51277071)~~

摘　　要：含梯级水电站的风水火联合优化调度对于减少煤炭消耗量、提高清洁能源利用效率具有重要意义。长期优化调度不仅需要考虑不同类型电源运行的差异性和互补性,同时也面临多种的不确定因素,建模和求解的难度均较大。为此,综合考虑检修计划影响、梯级水电站间水力约束以及风力、热力与电力相互耦合的复杂约束,建立了风水火长期优化调度模型。为了降低求解难度,将这一大规模、多约束、非线性的优化问题转换为线性混合整数模型予以求解。同时针对模型中各时段水文径流与风速的随机性,利用点估计法构造随机变量的估计点,结合每一个估计点向量进行确定性的长期优化调度模型的求解,进而得到优化调度决策变量的期望值。算例分析结果表明,所提出的调度方法计算精度高,求解速度快,能够方便地处理不确定因素,提高系统的经济性和消纳清洁能源的能力。The optimal dispatching of wind-hydro-thermal power system including cascade hydropower stations plays an important role in reducing coal consumption and improving the utilization of clean energy. However, the differences and complementarity of the power generating characteristics, and many uncertain factors need to be considered in this problem and it is difficult to model and solve the long-term scheduling. In this paper, the long-term optimal scheduling model of wind-hydro-thermal system was established, in which, the maintenance effects and the complex constraints were considered and all of the coupled hydraulic, wind, thermal and electricity constraints were included. To reduce the solving difficulty, the above large-scale, multi-constrained, nonlinear optimization problem was converted into a mixed integer linear model. And the point estimate method was introduced to handle the randomness of runoff and wind speed during each period. By means of this method, the estimated points of the random variables were set up, and then the long-term optimal scheduling model was solved with each estimated point vector, thus the expected value of the optimal scheduling decision variables was obtained. Case studies show that the proposed scheduling method has the performance of high precision, rapid solving speed, and can easily deal with uncertainties.

关 键 词：风水火 调度 长期 线性混合整数 点估计 

分 类 号：TM73[电气工程—电力系统及自动化]