Stochastic Long-Term Hydrothermal Optimization for a Multireservoir System
Stochastic Long-Term Hydrothermal Optimization for a Multireservoir System
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DOI：
10.1109/tpas.1985.318779
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发表时间：
1985-08
期刊：
影响因子：
--
通讯作者：
V. Sherkat;R. Campo;K. Moslehi;E. Lo
中科院分区：
文献类型：
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作者：
V. Sherkat;R. Campo;K. Moslehi;E. Lo
本文用逐次逼近的随机动态规划（SDP）算法求解多水库水热发电系统的长期（多年）运行规划问题。水系统模型由一组不相交的水链组成，每个水链由一个等效的水库和水电站模拟。每个水力链中的等效水库的流入量被建模为一个独立的对数正态随机变量，其时间相关性为滞后1。系统中剩余的河流流入量被建模为等效水库流入量的函数。热力机组和负荷削减成本曲线被建模为分段线性和凸性的。逐次逼近算法涉及的2状态随机动态规划问题的解决方案，为每个水电链，其目标是最小化的预期贴现生产成本，加上终端水电成本，满足一些限制的水电和热系统和每月的需求，这是由负载持续时间曲线表示。一个生产级的计算机程序已经开发和测试数据的真实的系统。数值结果报告两个研究案例多达8个水库。
The problem of planning the long-term (multiyear) operation of a multireservoir hydrothermal electric power generation system is solved by a sto- chastic dynamic programming (SDP) algorithm using successive approximations. The hydro system model consists of a set of disjoint hydro chains each modeled by an equivalent reservoir and hydroplant. The inflow to the equivalent reservoir in each hydro chain is modeled as an independent log-normal random variable with a time correlation of lag one. The remaining river inflows in the system are modeled as a function of the equivalent reservoir inflows. Thermal unit and load curtailment cost curves are modeled as piecewise linear and convex. The successive approximations algorithm involves the solution of a 2-state stochastic dynamic programming problem for each hydro chain which has as its objective the minimization of the expected discounted production cost, plus the terminal hydro cost, subject to satisfying a number of constraints on the hydro and thermal system and the monthly demand which is represented by a load duration curve. A production-grade computer program has been developed and tested with data for a real system. Numerical results are reported for two study cases with up to eight reservoirs.