A hybrid differential evolution algorithm to solve power flow problem in rectangular coordinate

Abstract EN

This paper presents a new hybrid evolutionary algorithm to solve the power flow problem in rectangular coordinate.

Differential Evolution (DE), a simple evolutionary algorithm which shows superior performance in global optimization.

But it gives premature convergence, as it utilizes the differential information to get the new candidate solution.

Particle Swarm Optimization (PSO) converges quickly but gets stuck in local optima.

The hybrid DEPSO algorithm presented in this paper eliminates the disadvantages of DE and PSO and solves the power flow problem with higher accuracy.

The proposed algorithm is tested on 6 bus and IEEE- 57 bus systems.

To compare the performance of DE, hybrid PSO, DEPSO, statistical measures like best, mean, standard deviation of results and average computation time over 20 independent trials are considered.

Results clearly indicate the better performance of DEPSO algorithm over DE and HPSO for solving power flow problems.

It works well for both base load heavily loaded condition with greater accuracy and consistency.