电力系统拥塞管理的优化方法研究

Madhvi Gupta, G. K. Banerjee, N. Sharma
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引用次数: 1

摘要

对于电力系统的规划、运行和控制问题,数学优化技术已被应用多年。然而,由于电力系统复杂、庞大、分布广泛的特点,使得电力系统问题存在着各种不确定性。此外,最近引入的电力公司结构调整和放松管制为现有的电力系统问题带来了新的问题。数学优化所寻求的解通常是局部最优解,而电力系统问题的解则是全局最优解。因此,电力系统问题显然不能仅仅通过严格的数学公式来解决。因此,近年来,人工智能(AI)、模糊逻辑、遗传算法(GA)和人工神经网络(ANN)等各种技术作为数学优化技术方法的补充工具正在电力系统中得到应用。各种优化技术已被应用于解决各种电力系统问题,并在该领域发表了大量论文。本文对电力系统优化技术进行了文献综述。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimization methods for power system congestion management: - A Study
For power systems planning, operation and control problems, mathematical optimization techniques have been used over the years. However, owing to complex, large and widely distributed nature of power system, there are various uncertainties in the power system problems. Moreover recently introduced restructuring and deregulation of power utilities have created new issues for the existing power system problems. The solutions searched by mathematical optimization are usually optimum locally and it is desirable that solution of power system problem should be optimum globally. It is therefore obvious that power system problems cannot be dealt through strict mathematical formulation alone. Therefore in recent years various techniques such as Artificial Intelligence (AI), Fuzzy Logic, Genetic Algorithm (GA) and Artificial Neural Network (ANN) are being used in power system as an additional tool to mathematical optimization technique approaches. Various optimization techniques have been applied to solve various power system problems and large numbers of papers have been published in this area. In this paper, literature survey on optimization techniques for electric power system has been presented.
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