摘要
针对复杂空间耦合约束下大型梯级水电站群调度问题,提出一种混合非线性优化方法.该方法引入出力-流量转换因子松弛水电系统出力限制,进而将复杂非线性优化问题转化为一系列标准二次规划子问题;混合逐步优化与二次规划方法进行问题求解,围绕前者优化结果确定后者的线性可行搜索空间,在搜索过程中依据系统出力越限幅度动态更新转换因子,修正二次规划问题的约束边界条件,通过交替进行二次规划问题求解和转换因子更新以获取原问题最优解或满意解.红水河干流梯级仿真调度实例表明,混合非线性优化方法能够大幅提高梯级水电系统的枯水期平均出力,得到较逐步优化方法更高的发电效益,是一种切实可行可用方法.
This paper develops a hybrid nonlinear optimization method for solving long-term optimal operation of large-scale cascaded hydropower plants with complex spatial coupling constraints. This method proposes conversion factors relevant to generation and discharge in order to cope with complex nonlinear total generation limitation considered in the optimization problem. Thus, the original nonlinear optimization problem can be broken down into a sequence of standard quadratic programming sub-problems. A combination of progressive optimality algorithm （POA） and quadratic programming （QP） method is employed to optimize the operation of hydropower systems. The results obtained from POA are first chosen as the initial solution of QP, which also decide the feasible decision space. During the solution process, the previous conversion factors are dynamically updated depending on the destroying range of total generation limitation. The boundary values of these constraints are accordingly modified in the new QP model. Solving the QP problem and updating the convention factors are performed alternately until the optimal solution or satisfactory solution for original problem is obtained. The proposed hybrid nonlinear method is applied to scheduling Hongshui River cascaded hydropower plants. The simulation results show that our method can enhance the total power generation in dry season and produce more energy than POA.
出处
《中国科学：技术科学》
EI
CSCD
北大核心
2014年第3期306-314,共9页
Scientia Sinica(Technologica)
基金
国家自然科学基金(批准号:51209031)
国家重点基础研究发展计划("973"计划)(批准号:2013CB035906)
中国博士后科学基金(批准号:2013T60284)资助项目
关键词
梯级水电站群
优化调度
非线性优化
二次规划
逐步优化
cascaded hydropower plants, optimal operation, nonlinear optimization, quadratic programming （QP）, progressiveoptimality
