Minimizing Power Losses for Distributed Generation (DG) Placements by Considering Voltage Profiles on Distribution Lines for Different Loads Using Genetic Algorithm Methods

Abstract

The need for electrical energy is increasing in line with the increase in population and increasing progress in welfare. On the other hand, the availability of fossil fuels as the main fuel in generating electricity is dwindling; so, there is a need for policies that require the use of environmentally friendly renewable energy. The utilization of renewable energy does not necessarily apply freely due to several constraints. One effort is a generator or distributed generation (DG) which is placed in the distribution line close to the load. The utilization of DG must go through planning, especially the large capacity and position on the bus and on the feeder, which will result in small network losses and a voltage profile that meets tolerance limits. Thus, the purpose of this study is to optimize to obtain the capacity and location of the DG calculated by considering the variation in the load through the genetic algorithm method. As a result, the optimal DG position for normal load is obtained on bus 18, bus 20, and bus 32 with capacities of 190 kW, 463 kW, and 370 kW, respectively. The losses obtained decreased from 54.6733 kW to 9.9447 kW, and the voltage profile was maintained within the specified limits. Optimization was carried out for decreasing and increasing loads in percent. The result is that losses can be minimized, and the voltage profile remains within the required limits. The lower the load, the more stable the voltage and the smaller the losses; meanwhile, the larger the load, the more fluctuating the voltage is, but still within the limits specified in the optimization.

Determination of Optimum Resources for the Blang Kejeren Electrical System Using PSS Sincal Application

“…The objective of this study is to minimize network losses and acquire a voltage profile in compliance with technical specifications. As a result, the voltage profile is within the designated standard limits and energy losses drop from 54.6733 kW to 9.9447 kW [9].…”

Intelligent ANFIS-Based Distributed Generators Energy Control and Power Dispatch of Grid- Connected Microgrids Integrated into Distribution Network

“…The distribution system, being one of the major parts of the power network that supplies power to customers has the greatest losses. Reducing energy losses in power distribution systems has been an important issue, hence the need to integrate microgrids into distribution systems [1]. The key benefit of integrating microgrids into the power system is the improved economic and environmental conditions as well as the greater dependability of the power system and less power losses.…”

“…however unknown connection of loads presents a significant challenge to the control and management of energy. These energy sources without prior notification to power supply distributors make the control and energy management of distribution network systems present a significant challenge [1,11]. The integration of renewable energy-based DGs in power systems has become an important research field considering the many benefits such as less power losses, and small infrastructure, however, DG integration has several drawbacks such as difficulty integrating DGs into an existing distribution network due to its intermittent nature.…”