A new method for optimal location and sizing of capacitors in distorted distribution networks using PSO algorithm - سایت تخصصی MATLAB

A new method for optimal location and sizing of capacitors in distorted distribution networks using PSO algorithm

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This paper presents an optimization algorithm for simultaneous improvement of power quality (PQ), optimal placement and sizing of fixed capacitor banks in radial distribution networks in the presence of voltage and current harmonics. The algorithm is based on particle swarm optimization (PSO). Th ...ادامه توضیحات
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This paper presents an optimization algorithm for simultaneous improvement of power

quality (PQ), optimal placement and sizing of fixed capacitor banks in radial distribution

networks in the presence of voltage and current harmonics. The algorithm is based on particle

swarm optimization (PSO). The objective function includes the cost of power losses,

energy losses and those of the capacitor banks. Constraints include voltage limits, number/

size of installed capacitors at each bus, and PQ limits of standard IEEE-519. Using a

newly proposed fitness function, a suitable combination of the objective function and relevant

constraints is defined as a criterion to select a set of the most suitable buses for

capacitor placement. This method is also capable of improving particles in several steps

for both converging more readily to the near global solution as well as improving satisfaction

of the power quality constraints. Simulation results for the 18-bus and 33-bus IEEE

distorted networks using the proposed method are presented and compared with those

of previous works. In the 18-bus IEEE distorted network, this indicated an improvement

of 3.29% saving compared with other methods. Using the proposed optimization method

and simulation performed on the 33-bus IEEE distorted network an annual cost reduction

of 31.16% was obtained.

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