Power Research

S. M. Kannan ¹, P. Renuga ², S. Mary Raja Slochanal ³, A. R. Rathina Grace Monica ¹

Affiliations
1 Department of Electrical and Electronics Engineering, K.L.N. College of Engineering, Anna University, Madurai, Tamil Nadu-630611, IN
2 Department of Electrical and Electronics Engineering, Thiagarajar College of Engineering, Anna University, Madurai, Tamil Nadu-625015, IN
3 Department of Electrical Engineering, Higher Institute of Engineering, Hoon, LY

Abstract

Electric distribution systems are becoming large and complex leading to higher system losses and poor voltage regulation. This has stressed the need for an efficient and effective distribution network The objective of this work is to determine optimal location and size of the capacitor to be placed in radial distribution feeders to improve the voltage profile and to reduce the energy loss. This problem of capacitor placement is solved using fuzzy expert system and sizing is solved using particle swarm optimization method.

Firstly, an efficient load flow solution for the radial feeder is obtained by forward sweeping algorithm. Voltage and real power loss index of distribution system nodes are modeled by fuzzy membership function. Then, a fuzzy inference system containing a set of heuristic rules is designed to determine candidate nodes suitable for capacitor placement in the distribution system. Capacitors are placed on the nodes with highest sensitivity index. The sizing is found by using Particle Swarm Optimization (PSO). The proposed method is tested on IEEE-11kV, 12 bus system (without lateral) and an existing 15 bus system (with lateral) in India.

Keywords

Radial Distribution Feeders, Fuzzy Expert System, Capacitor Placement, Particle Swarm Optimization.

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A. Shunmugalatha ¹, S. Mary Raja Slochanal ²

Affiliations
1 Associate Professor/EEE, K.L.N College of Engineering, Pottapalayam - 630611, IN
2 Prof. and HOD/EEE, Thiagarajar College of Engineering, Madurai - 625 015, IN

Abstract

To estimate voltage stability, Maximum Loadability Limit (MLL) is one approach. MLL is the margin between the operating point of the system and the maximum loading point. The optimum cost of generation for MLL of power system can be formulated as an optimisation problem, which consists of two steps namely, computing MLL and the optimum cost of generation for MLL. This paper utilises the newly developed Evolutionary Multi-agent Based Particle Swarm Optimization (MAPSO) in solving this optimisation problem. Details of the implementation of the proposed method to modified IEEE 30-bus system, IEEE 57-bus system and IEEE 118-bus system are presented. Simulation results show that the proposed approach converges to a better solution much faster, which proves the loadability and applicability of the proposed method.

Keywords

Eeconomic Load Dispatch, Maximum Loadability Limit, Multi-Agent System, Particle Swarm Optimisation and Voltage Stability.

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