水火电力系统短期发电计划研究  

Short-term generation scheduling for hydrothermal power systems

作　　者：袁晓辉[1] 袁艳斌[2] 张勇传[1] 王乘[1] 

机构地区：[1]华中科技大学水电与数字化工程学院,湖北武汉430074 [2]武汉理工大学资源与环境工程学院,湖北武汉430070

出　　处：《华中科技大学学报（自然科学版）》2006年第4期70-72,共3页Journal of Huazhong University of Science and Technology(Natural Science Edition)

基　　金：国家自然科学基金资助项目(50409010;50309013;40572166;50539140);中国博士后科学基金资助项目(2003033464);湖北省自然科学基金资助项目(2005ABA228).

摘　　要：为克服现有方法求解复杂水火电力系统短期发电优化计划的缺陷,提出一种新型优化算法对此类动态非线性约束优化问题进行求解.该算法通过选取沿连续两次迭代计算时次梯度之差的方向进行空间扩张,以此构造出极小化的空间扩张优化算法.同时,对复杂的约束条件采用自适应更新罚因子的不光滑精确罚函数加以处理.算例仿真计算的结果表明该方法求解精度高、收敛速度快,进一步验证了算法的正确性和有效性.The goal of this research is to overcome the limitations of the existing method of solving the short-term generation optimal scheduling in hydrothermal power systems. An optimized method to solve the dynamic nonlinear constrained optimization was proposed. This method ran along the difference of two successive subgradients for space extending to constitute the minimized optimization algorithm. The constraints were handled by non-smooth exact penalization method with self-adaptive updating penalty coefficient. The simulation results showed that the high precision solution and fast conVergence speed were obtained in this algorithm, proving the correctness and the validity of the algorithm.

关 键 词：水火电力系统 短期发电计划 次梯度 

分 类 号：TM612[电气工程—电力系统及自动化]