article · IEEE Access
Distribution networks face ongoing challenges in maintaining stability and efficiency under varying consumer demand and changing environmental conditions. An Enhanced Marine Predators Algorithm addresses this problem by simultaneously managing network reconfiguration and the integration of distributed generation units. The method employs a multi-objective framework designed to minimise electrical power losses and reinforce the voltage stability index across light, nominal, and heavy loading levels. Testing on standard 33-bus, 83-bus, and large-scale 137-bus distribution networks demonstrated substantial operational gains. In the 33-bus system, the method reduced cumulative losses by 72.4 percent while delivering marked voltage improvements across all load profiles. In the 137-bus network, power losses decreased by 81.16 percent with low variability. The results show consistent performance advantages over the standard algorithm and other recent optimisation techniques.
Modern electricity grids must balance shifting demand and decentralised energy sources without wasting power or suffering voltage collapse. By optimising how network circuits are connected and where local generators are placed, this approach helps grid operators curtail expensive energy losses and maintain reliable voltage quality, even during periods of heavy electrical demand.
This technique could assist electrical utilities, grid operators, and power engineering software providers seeking to improve network efficiency and plan renewable connections. Currently at an applied research stage tested in computer simulations, commercial application would require embedding the algorithm into distribution management software and validating its behaviour on physical utility infrastructure under live operating conditions.
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This paper presents an Enhanced Marine Predators Algorithm (EMPA) for simultaneous optimal distribution system reconfigurations (DSRs) and distributed generations (DGs) addition. The proposed EMPA recognizes the changes opportunity in environmental and climatic conditions. The EMPA handles a multi-objective model to minimize the power losses and enhance the voltage stability index (VSI) at different loading levels. The proposed EMPA is performed on IEEE 33-bus and large-scale 137-bus distribution systems (DSs) where three distinct loading conditions are beheld through light, nominal and heavy levels. For the 33-bus DS, the proposed EMPA successfully reduces the cumulative losses by 72.4% compared to 70.36% for MPA for the three-loading levels simultaneously. As a result, significant voltage improvement is achieved for heavy, nominal and light loadings to be 95.05, 97, 98.3%, respectively. For the 137-bus DS, it successfully minimizes the losses of 81.16% under small standard deviation 4.76%. Also, the 83-bus test system is considered for fair comparative between the proposed and previous techniques. The simulation outputs revealed significant improvements in the standard MPA and demonstrated the superiority and effectiveness of the proposed EMPA compared to other reported results by recent algorithms for DSRs associated with DGs integration.
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DOI: 10.1109/access.2021.3076670
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