MODELING FOR RURAL ELECTRICAL ENERGY SYSTEMS

Abstract

This work on Modelling for rural electrical energy systems is composed of two broad sections. The first section presents a load flow analysis of mini-grid for rural electrical energy system. Generally rural areas are situated away from existing grid. 'They are located in difficult terrain areas like forests, hill area and deserts. Power demand in these. areas is quite low due to dispersed distribution of loads. So, the electrification of rural or remote area by grid extension is impractical because of dispersed population, rugged terrain, or both; thus small (village-scale) stand-alone mini grid to be the most viable option. Basically rural electrical energy system is stand-alone mini grid. In proposed work is to be tested on 6 bus transmission grid system and rural electrification modal are to be tested on 13, 33 bus radial distribution system. The second section of this work consists of optimal capacitor placement in rural electrical distribution system by using particle swarm optimization system technique. The installation of shunt capacitors on radial distribution systems is essential for power flow control, improving system stability, power factor correction, voltage profile management, and losses minimization. Therefore, it is important to find the optimal size and location of capacitors required to minimize feeder losses (power and energy), and the suitable time to switch the capacitors on and off. This proposed work are to be tested on 10, 15, 33 bus radial distribution system. Capacitor placement & sizing are done by Loss Sensitivity Factors and Particle Swarm Optimization respectively. The concept of Loss sensitivity Factors and can be considered as the new contribution in the area of distribution systems. Loss Sensitivity Factors offer the important information about the sequence of potential nodes for capacitor placement. These factors are determined using single base case load flow study. RURAL ELECTRICAL ENERGY SYSTEMS is well applied and found to be very effective in Radial Distribution Systems. The proposed method is tested on 10, 15 and 33 bus distribution systems.