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机构地区:[1]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》2017年第9期2479-2490,共12页Proceedings of the CSEE
基 金:国家自然科学基金项目(51277071);国家电网公司科技项目(KH14010384)~~
摘 要:为提高流域梯级水电的库容和电力补偿效益,建立了水电精细化调度模型,将各决策变量转换为状态变量的表达式,模型更加直观清晰,并应用水位约束空间收缩方法缩减寻优尺度。以分析各水电站特征及空间分布格局为切入点,基于大系统分解协调思想将流域梯级水电系统分解为多个子系统,并进行逐区调度和协调优化,从寻优空间降维的角度改善"维数灾"问题。分析优化调度动态规划方法的并行特征,搭建Matlab多核集群并行计算平台进行并行计算,提高算法执行效率。最后以乌江干流"4库7梯级"水电系统为例进行仿真,结果表明:应用大系统分解协调方法计算精度较高,降维效果明显,多核集群并行计算显著提高计算效率,具有较高的实用价值。To improve capacity and power compensation benefits of cascade hydropower, an elaborate hydropower scheduling model was established. In the model, every decision variable was converted into expressions of state variables, make the model more intuitive and clear. Shrinking water level constraint space method was utilized to reduce optimizing space dimension. Analyzing on characteristics and spatial distribution pattern for each hydropower station was taken as starting point, cascade hydropower system was decomposed into multiple of subsystems based on large system decomposition-coordination theory, then scheduling by area and coordinating optimization were carried out, so that dimension disaster problem were improved by dimension reduction of optimization space. Parallel feature of dynamic programming method in optimal scheduling was analyzed, Matlab multi-core cluster parallel computing platform was built, and algorithm's execution efficiency was raised by parallel computing. Finally, taken a "4 reservoir 7 cascade" hydropower system in Wujiang mainstream as example, simulation results show that: large system decomposition- coordination method is with high precision and remarkable dimension reduction; Multi-core cluster parallel computing significantly promote computing efficiency, and is with high practical value.
关 键 词:流域梯级水电 大系统分解协调 多核集群并行计算 中长期优化调度 收缩约束空间
分 类 号:TM73[电气工程—电力系统及自动化]
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