Optimal Line Flow in Conventional Power System using Euclidean Affine Flower Pollination Algorithm

SHILAJA C, RAVI K

Abstract


In electric power market, electric power must be offered to the customer with high quality and least cost. In a deregulated power system, this is a difficult task because of several complicated problems. With increase in electricity cost of raw materials and its growing demand, an optimal solution is required for operation and design of an efficient power system. Conventional energy resource like solar system can be opted for generating electric energy using Photovoltaic (PV) cells. To address the power flow problems using PV cells, Optimal Line Flow (OLF) solution is used for solving and obtaining an optimal operating result for all the generators in distributed power systems. We proposed an Euclidean affine flower pollination algorithm (eFPA) to addresses the line flow OLF constraint for minimizing the fuel cost, loss, emission and voltage stability index. A multi-objective function for all the above constraints is used in eFPA to solve the OLF constraint. Results proved that the eFPA optimization for OLF constraint proved to be efficient because of its minimization of cost, loss, emission and voltage stability index. The  analysis is performed on IEEE 30 bus system and IEEE 57 bus system.

Keywords


OLF; FPA; multi objective; Emission;OPF.

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References


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DOI (PDF): https://doi.org/10.20508/ijrer.v6i1.3074.g6790

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