Distributed energy procurement with renewable energy sources in a radial distribution system

IF 4 3区计算机科学 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE

Computers & Electrical Engineering Pub Date : 2025-03-12 DOI:10.1016/j.compeleceng.2025.110268

Souvik Roy, Rhythm Singh

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Abstract

The integration of renewable-based distributed generation (DG) in distribution systems can modernize the grid, delivering cleaner, cost-effective, and resilient power while deferring expensive upgrades. This study explores renewable DG integration in a 51-bus radial system to reduce energy procurement costs and emissions while improving voltage and power loss profiles. Optimal DG siting and sizing are achieved using a voltage stability index (VSI) and enhanced particle swarm optimization (PSO). A novel energy coverage ratio (ECR) index ensures efficient DG selection. Additionally, levelized cost of energy (LCOE) and solar-based time-of-use (ToU) pricing factors are calculated for DG energy pricing. The energy procurement problem is solved for four cases under two scenarios using an alternating current optimal power flow (ACOPF) method with MATLAB-based MATPOWER. Results show a 2.41 % cost reduction, 4.77 % emission abatement, and 10.49 % energy loss reduction when 49.52 % of the annual renewable DG generation is procured.

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来源期刊

Computers & Electrical Engineering 工程技术-工程：电子与电气

CiteScore

9.20

自引率

7.00%

发文量

661

审稿时长

47 days

期刊介绍： The impact of computers has nowhere been more revolutionary than in electrical engineering. The design, analysis, and operation of electrical and electronic systems are now dominated by computers, a transformation that has been motivated by the natural ease of interface between computers and electrical systems, and the promise of spectacular improvements in speed and efficiency. Published since 1973, Computers & Electrical Engineering provides rapid publication of topical research into the integration of computer technology and computational techniques with electrical and electronic systems. The journal publishes papers featuring novel implementations of computers and computational techniques in areas like signal and image processing, high-performance computing, parallel processing, and communications. Special attention will be paid to papers describing innovative architectures, algorithms, and software tools.