Abstract

Power loss and voltage uncertainty are the major issues prevalently faced in the design of distribution systems. But such issues can be resolved through effective usage of networking reconfiguration that has a combination of Distributed Generation (DG) units from distribution networks. In this point of view, optimal placement and sizing of DGs are effective ways to boost the performance of power systems. The optimum allocation of DGs resolves various problems namely, power loss, voltage profile improvement, enhanced reliability, system stability, and performance. Several research works have been conducted to address the distribution system problems in terms of power loss, energy loss, voltage profile, and voltage stability depending upon optimal DG distribution. With this motivation, the current study designs a Chaotic Artificial Flora Optimization based on Optimal Placement and Sizing of DGs (CAFO-OPSDG) to enhance the voltage profiles and mitigate the power loss. Besides, the CAFO algorithm is derived from the incorporation of chaos theory concept into conventional artificial flora optimization AFO algorithm with an aim to enhance the global optimization abilities. The fitness function of CAFO-OPSDG algorithm involves voltage regulation, power loss minimization, and penalty cost. To consider the actual power system scenario, the penalty factor acts as an important element not only to minimize the total power loss but to increase the voltage profiles as well. The experimental validation of the CAFO-OPSDG algorithm was conducted against IEEE 33 Bus system and IEEE 69 Bus system. The outcomes were examined under various test scenarios. The results of the experiment established that the presented CAFO-OPSDG model is effective in terms of reducing the power loss and voltage deviation and boost-up the voltage profile for the specified system.

Highlights

  • Electricity plays a major role in sustainable growth and development of a country, especially its economy

  • 5 Conclusion The current research study developed a novel CAFO-OPSDG algorithm to improve the voltage profiles and mitigate the Power Loss (PL)

  • The proposed CAFO-OPSDG algorithm was experimentally validated in IEEE 33 Bus system and IEEE 69 Bus system

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Summary

Introduction

Electricity plays a major role in sustainable growth and development of a country, especially its economy. It exerts a considerable impact and impact the human lives. The power produced in these generation plants needs to be transmitted via high-voltage transmission systems to distribution systems and reaches the end-users i.e., consumers with no disturbance and loss. In practical, the power generated in the power plants does not reach the consumer in its full capacity, owing to the generation loss, transmission loss, etc [1]. A considerable amount of power is lost at the distribution level over Power Loss (PL) that occurs in the stages of production and transmission. The resistivity of the distribution line is highly significant over transmission line resistance counterpart

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