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Differential evolution and pattern search (DE-PS) are used as meta-heuristic optimization tools to solve optimal capacitor placement problem.
Differential evolution and pattern search are used as metaheuristic optimization tools to solve optimal capacitor placement problem.
Based on this novel method, a polynomial algorithm for optimal capacitor sizing is presented.
Optimal capacitor placement can significantly aid the control of the steady-state performance of a power system.
Optimal capacitor has the ability to solve these problems by controlling the voltage profile and then affecting on the power flows.
An optimization algorithm that combines both economic and secure objectives together in a single function for optimal capacitor sizing is presented.
The paper thus integrates the optimal capacitor placement and sizing with an accurate thermal evaluation of the cables that exceed their steady-state thermal limit to achieve a complete solution of all the system problems.
Many investigations have also been performed to solve the optimal capacitor placement problem.
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