Abstract
Distribution networks are facing new challenges with the emergence of smart grids, such as capacity limitations, voltage instability, and many others. These challenges can potentially lead to brownouts and blackouts. This paper presents an innovative technique for optimal siting and sizing of distributed generators (DGs) in radial distribution networks (RDNs). The proposed technique uses a novel algorithm that combines improved grey wolf optimization with particle swarm optimization (I-GWOPSO) by incorporating dimension learning-based hunting (DLH). The proposed I-GWOPSO employs a novel aspect of DLH to reduce the gap between local and global searches to maintain a balance. The main optimization objectives aim to optimally site and size the DG with minimization of active power loss, voltage deviation, and improvement of voltage stability in RDNs. Case studies are simulated with IEEE 33-bus and IEEE 69-bus test systems, for the optimal allocation of DG units by considering various power factors. The results validate the efficacy of the proposed algorithm with a significant reduction in real power loss (up to 98.1%), improvement in voltage profile, and optimal reduced cost of DG operation with optimal sizing across all considered cases. A comparative analysis of the proposed approach with existing literature validates the improved performance of the proposed algorithm.
Highlights
AND MOTIVATIONNowadays, rising demands make distribution networks (DNs) more prone to voltage drops and line losses [1]
The proposed I-GWOPSO in this study provides effective solution for optimized distributed generation units (DG) allocation in radial distribution networks (RDNs)
The effectiveness of proposed I-GWOPSO hybrid algorithm is evaluated across 33-bus and 69-bus test radial distribution networks
Summary
Nowadays, rising demands make distribution networks (DNs) more prone to voltage drops and line losses [1]. The traditional planning solution is to construct new substation or expanding the existing one [2] This is not economically viable as it results in high operative costs. A better alternative solution to meet the rising demand is the use of distributed generation units (DG) in DNs. DGs are more economical than the traditional means of production as they have small scale generation capabilities to correlate with changing loads. The use of DGs along with renewable source makes the power production technically viable, environmental friendly and economically feasible [3]. If DG units are allocated improperly, it may result in high power losses (PL), voltage rise and low network stability. Optimal DG allocation (ODGA) should be cautiously determined to enhance the technical, environmental, and economical benefits
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