POWER DISTRIBUTION SYSTEM LOSS MINIMIZATION AND VOLTAGE PROFILE IMPROVEMENT USING HARRIS HAWKS OPTIMIZATION TECHNIQUES (CASE STUDY: DEBRE BERHAN POWER DISTRIBUTION SYSTEM
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Date
2021-10-12
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Hawassa University
Abstract
Growing concerns over environmental impacts, conditions for improvement of the whole
distribution network, shortage and expensiveness of fossil fuel, the deficiency in generating
capacities, and ever-increasing demand for electricity have set the way towards distributed
generation (DG) units in commercial and domestic electrical power systems. The major
problems of distribution systems, such as load growth, power outage, overloaded lines,
quality of supply, and reliability can be solved by optimally placing distributed gener ation near to the customer side. However, the non-optimal placement and size of DG
units may lead to high power losses and bad voltage profiles on the power network. This
thesis paper aims to minimize system real and reactive power losses, cost and improve the
voltage profile of the system by determining the optimal size and penetration of wind based distributed generation using Harris hawks optimization. The results of base case
load flow analysis showed that the case study distribution network feeder has a base case
active and reactive power loss of 1629.04KW and 609.513KVAr respectively. The feeder
minimum bus voltage and total voltage drop index at the base case is 0.8497V and 0.4407
respectively. The propossed HHO determines the optimal location and size of DG based
on minimum loss reduction index, voltage deviation index, and the cost of DG at the
same time to use the existing distribution network in an optimal manner. The optimal
location of DG is determined to be 33 and 38 with a size of 2.4997MW and 2.4896MW
respectively. The active and reactive power loss reduced to 290.097KW and 254KVAr
after the DG integration. The method is implemented and tested on the Sheno feeder of
the Debre Berhan power distribution system
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Keywords
Distributed Generation, Optimal location, Optimal size, Objective func tion, technical constraints, loss reduction
