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Based on traditional reactive power optimization model, a new multi-objective concordance evolutionary algorithm (MOCEA) is proposed for the active power loss, voltage deviation, static voltage margin and reactive power compensation capacity. The algorithm combines the multi-objective decision-making concordance model with group evolution thought organically. In a limited group each individual is...
Economic Load Dispatch (ELD) problems are nonlinear constrained problems which occupy an important role in the economic operation of power system. Recently, as an alternative to the conventional mathematical approaches, evolutionary algorithms have been given much attention by researchers due to their ability to find good solutions in ELD problems. In this paper, a biogeography based-optimization...
An evolutionary computation technique is used to minimize the active power losses, subjected to voltage constraints. The formulation is proved in two power systems, controlling variables such as generation voltages, taps position, and shunt elements, showing a reduction not only on power system losses but also resulting in a power generation decrement. These results are used to analyze the impact...
This paper raises an improved evolutionary programming (IEP) for solving the economic dispatch (ED) problem in power system. In the methodology, a simple evolutionary programming (EP) is used as a basic level search, which can give a good direction to the optimal global region. Then, a local search (LS) procedure is adopted as a fine tuning to determine the optimal solution. The proposed method has...
This paper introduces a differential evolution particle swarm optimization (DEPSO) method for dealing with optimal reactive power dispatch aiming at power loss reduction and voltage stability improvement. The optimum reactive power dispatch of power systems is to allocate reactive power control variables so that the objective function composed of power losses is minimized and the prescribed voltage...
This paper presents solution of optimal power flow (OPF) problem of a power system via a simple particle swarm optimization (PSO) algorithm. This method is dynamic in nature and it overcomes the shortcomings of other evolutionary computation techniques such as premature convergence and provides high quality solutions. The objective is to minimize the fuel cost and keep the power outputs of generators,...
A comparative analysis using different intelligent techniques has been carried out for the economic load dispatch (ELD) problem considering line flow constraints for the regulated power system to ensure a practical, economical and secure generation schedule. The objective of this paper is to minimize the total production cost of the thermal power generation. Economic load dispatch (ELD) has been applied...
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