Implementation of distributed energy resources along with Network Reconfiguration for cost-benefit analysis

IF 3.8 3区计算机科学 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE

Sustainable Computing-Informatics & Systems Pub Date : 2025-01-01 DOI:10.1016/j.suscom.2024.101078

G. Manikanta , Ashish Mani , Anjali Jain , Ramya Kuppusamy , Yuvaraja Teekaraman

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引用次数: 0

Abstract

Increased demand of power in distribution networks (DN) driven by various sectors like industrial, commercial, municipal, residential, and irrigation necessitates alternative solutions such as Distributed Generators (DGs), capacitors, and Network Reconfiguration (NR). Addressing this challenge involves optimizing the opening of tie line switches and determining the optimal placement and capacity of capacitors and DGs, which poses a complex optimization problem involving both discrete and continuous variables. To tackle this, an Adaptive Quantum-inspired Evolutionary Algorithm (AQiEA), combining principles from Quantum computing and Evolutionary Algorithms, is employed. This study emphasizes holistic benefits, specifically aiming to maximize economic gains in the distribution system with the installation of DGs, capacitors, and NR along with minimization of power losses. In this paper, two cases are explored. In the first case, seven scenarios’ analyses system losses with load variations, each scenario running twenty-five independent iterations. Performance metrics has been computed to reveal that simultaneous implementation of NR, DGs, and capacitors significantly reduces power losses compared to independent implementations. The second case introduces an additional objective of maximizing economic benefits. This involves considering factors like DG and capacitor location, capacity, line losses, and various costs such as operational, maintenance, and installation costs. The results tabulated in paper demonstrate that operating DGs in parallel with capacitors and NR not only minimizes power losses but also maximizes distribution utilities' profits.

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来源期刊

Sustainable Computing-Informatics & Systems COMPUTER SCIENCE, HARDWARE & ARCHITECTUREC-COMPUTER SCIENCE, INFORMATION SYSTEMS

CiteScore

10.70

自引率

4.40%

发文量

142

期刊介绍： Sustainable computing is a rapidly expanding research area spanning the fields of computer science and engineering, electrical engineering as well as other engineering disciplines. The aim of Sustainable Computing: Informatics and Systems (SUSCOM) is to publish the myriad research findings related to energy-aware and thermal-aware management of computing resource. Equally important is a spectrum of related research issues such as applications of computing that can have ecological and societal impacts. SUSCOM publishes original and timely research papers and survey articles in current areas of power, energy, temperature, and environment related research areas of current importance to readers. SUSCOM has an editorial board comprising prominent researchers from around the world and selects competitively evaluated peer-reviewed papers.