MULTI-OBJECTIVE OPTIMAL POWER FLOW PROBLEM USING ENHANCED FLOWER POLLINATION ALGORITHM
This paper presents an Enhanced flower Pollination Algorithm (EFPA) to solve the optimal power flow (OPF) problem. This paper considers OPF problem with multiple objectives of minimizing generating cost, transmission loss and power plants emission and to improve voltage stability. Generating cost is a function of real power generation of all the generating units. Transmission loss depends on bus voltages and reactive power support in the system. Power plant emission is once again a function of real power and voltage stability is a function of bus voltages and reactive power support. In the optimization problem for real power generation, generator bus voltages, transformer tap positions and injected reactive power support may be considered as control variables. Set of these control variables from a meta-heuristic approach. Enhanced flower pollination strategy may yield a better solution for multi objective problem. This optimization algorithm is compare with other optimization algorithms and the comparison proves the ability of EFPA has given the best results to solve multi objective OPF problem. To evaluate EFPA based multi objective OPF, standard IEEE 30 test case is considered.
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