Real Power Generation optimization and optimal setting of UPFC for Power Loss minimization using Cuckoo Search Algorithm
B Venkateswara Rao
industrial electrical power systems
This paper presents a nature-inspired algorithm, namely Cuckoo Search Algorithm (CSA) is applied for solving optimal power flow (OPF) problem. The CSA is found to be the most efficient algorithm for solving single objective optimal power flow problems. The CSA is coded in MATLAB and the performance is tested on IEEE 30 bus test system with real power losses minimization as objective function. Unified Power Flow Controller (UPFC) is a multifunctional device in the Flexible Alternating Current Transmission System (FACTS) family. It has capable of controlling the power system parameters like voltage magnitude, line reactance and phase angle either individually or collectively. In this paper UPFC is incorporated in CSA based Optimal Power Flow to optimize the real power generation. UPFC is used to reduce transmission line losses and improve the voltage profile of the system. CSA gives better results as compared to genetic algorithm (GA) in both without and with UPFC conditions.
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