基于广义共轭梯度法的水电系统长期优化

IF 2 4区计算机科学 Q3 AUTOMATION & CONTROL SYSTEMS

Optimal Control Applications & Methods Pub Date : 2007-10-29 DOI:10.1002/OCA.4660020404

H. Sirisena, T. Halliburton

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引用次数: 0

摘要

考虑了水库的优化管理。目标是在一个混合的水热电系统中，在一年或几年的时间内，使火力发电站的燃料成本最小化。开发了一个新西兰系统的模型，该模型对于计算目的来说足够简单，但仍然考虑了包括负载分集和传输损耗在内的所有主要因素。采用具有Beale重启的Powell广义共轭梯度算法进行优化。状态约束和控制约束分别由惩罚函数和转换强制执行。结果提出了新西兰系统的降阶模型。

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Long-term optimization of hydro-thermal power systems by generalized Conjugate-Gradient Methods

The optimal management of hydro storage reservoirs is considered. The objective is to minimize thermal power station fuel costs, over a horizon of one or more years, in a mixed hydro-thermal power system. A model of the New Zealand system is developed that is simple enough for computational purposes but nevertheless accounts for all major factors including load diversity and transmission losses. A version of Powell's generalized conjugate-gradient algorithm with Beale restarts is used for the optimization. State and control constraints are enforced by penalty functions and transformations, respectively. Results are presented for a reduced-order model of the New Zealand system.

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来源期刊

Optimal Control Applications & Methods 工程技术-应用数学

CiteScore

3.90

自引率

11.10%

发文量

108

审稿时长

3 months

期刊介绍： Optimal Control Applications & Methods provides a forum for papers on the full range of optimal and optimization based control theory and related control design methods. The aim is to encourage new developments in control theory and design methodologies that will lead to real advances in control applications. Papers are also encouraged on the development, comparison and testing of computational algorithms for solving optimal control and optimization problems. The scope also includes papers on optimal estimation and filtering methods which have control related applications. Finally, it will provide a focus for interesting optimal control design studies and report real applications experience covering problems in implementation and robustness.