Reactive power generation minimization aspect in deregulatory power scenario using particle swarm optimization technique

Syamasree Biswas, N. Chakraborty
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引用次数: 2

Abstract

Power system structure is undergoing through restructuring process since a decade. Everyday a bulk amount of power is generated, transmitted and distributed via transmission network. The active power or the real power generated from the generator needs the reactive power for supporting its own transmission. This reactive power generation has some minimum limit which if generator fails to produce it has to take support from system operator for smooth real power flow in worth of paying money. While the generator produces excess reactive power it can expect remuneration from the system operator. In deregulated power system minimal reactive power generation is considered as an important issue as cost is related to it. In this paper IEEE 14-bus test system is considered for solving the problem. As a solving tool a well known population based metaheuristics technique: particle swarm optimisation is chosen which tries to optimize the problem by controlling the generator bus voltage. The choice of the objective function and the mentioned optimisation technique is considered by through literature survey.
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基于粒子群优化技术的无功发电在放松管制情景下的最小化
近十年来,电力系统结构正经历着剧烈的结构调整过程。每天都有大量的电力通过输电网络产生、传输和分配。发电机产生的有功功率或实功率需要无功功率来支持自身的传输。这种无功发电有一定的最低限度,如果发电机不能生产,它必须得到系统运营商的支持,以保证实际的平稳电力流动,这是值得支付的钱。当发电机产生多余的无功功率时,它可以期望从系统操作员那里获得报酬。在放松管制的电力系统中,无功发电的最小化是一个重要的问题,因为它关系到成本。本文考虑采用IEEE 14总线测试系统来解决这一问题。作为一种解决工具,我们选择了一种著名的基于群体的元启发式技术:粒子群优化,它试图通过控制发电机母线电压来优化问题。通过文献调查,考虑了目标函数的选择和上述优化技术。
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