Flower pollination algorithm based optimized PI controller for automatic generation control for the restoration indices computation in a restructured multi-source power system

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Date: Mar. 2017
Publisher: American-Eurasian Network for Scientific Information
Document Type: Report
Length: 6,046 words
Lexile Measure: 1560L

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Abstract :

This paper proposes the design and performance analysis of Flower Pollination Algorithm (FPA) based Proportional Integral (PI) controllers for the Automatic Generation Control (AGC) of interconnected two-area, thermal-thermal and thermal-gas power system. The FPA is a new nature-inspired algorithm, based on the characteristics of pollination process of flowers plants. The control parameters of Proportional gain ([K.sub.p]) and Integral gain (KI) of the AGC problem are optimized through FPA in order to achieve the optimal transient response of the system under for different types of possible transactions in restructured environment. The simulation results show that the proposed FPA tuned PI controller improves the dynamic response of the restructured power system. The convergence speed performance of the proposed algorithm is significantly better compared to those achieved by the existing algorithms. Moreover the Power System Restoration Indices (PSRI) is computed based on system dynamic performances and the remedial measures to be taken can be adjudged. These PSRI indicates that the ancillary service requirement to improve the efficiency of the physical operation of the power system with the increased transmission capacity in the network. KEYWORDS: Automatic Generation Control Flower Pollination Algorithm Gas turbine power plant PI controller Power System Restoration Indices

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Gale Document Number: GALE|A498845479