Congestion Management in Power Systems Via Intelligent Method

International Journal of Smart Electrical Engineering

مقاله 4، دوره 02، شماره 1، فروردین 2013، صفحه 23-31   

نویسندگان

S.A Hashemi Zadeh¹؛ A.A Gharaveisi²؛ GH Shahgholian³

¹Department of electrical engineering, Islamic Azad University, Rafsanjan, Iran,

²Assistant, of Control Engineering, Department of electrical engineering, Shahid bahonar University, Kerman, Iran,

³Associate, of Electrical Engineering, Department of electrical engineering, Islamic Azad University, Najaf abad, Iran,

چکیده

In the deregulated power systems, transmission congestion is one of the significant and main problems of the electrical networks which can cause incremental cost in the energy. This problem has resulted to new challenging issues in different parts of power systems which there was not in the traditional systems or at least had very little importance. Transmission congestion happens when the maximum available power transmission capacity is lower than the consumption side. As congestion happens, the system power losses are increased which can cause problem in the voltage constraints. Therefore, this paper proposes a new method to handle the optimal management and control of congestion problem by the use of distributed generations (DGs). In this regard, the optimal size and location of DGs are investigated using the powerful bacteria foraging algorithm (BFA) as a new intelligence-based optimization technique to solve the congestion problem on the three IEEE 14-bus, 30-bus and 57-bus test systems. The simulation results show the high speed, fast convergence and accurate performance of the proposed algorithm to solve the congestion problem in the system

کلیدواژه‌ها

Bactria foraging algorithm؛ power losses؛ congestion management؛ Distributed generations (DGs

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