article · IEEE Systems Journal
An improved heap-based optimizer addresses the combined challenge of reconfiguring electricity distribution networks and optimally placing distributed generators. The algorithm enhances the standard heap-based optimization method by incorporating a dedicated exploitation mechanism around the leading solution, strengthening global search capability and preventing entrapment in local optima. Testing was conducted across three radial distribution networks, comprising an IEEE standard 33-bus benchmark alongside real utility networks from Cairo, Egypt, and Taiwan Power Company. In the standard benchmark network, the method curtails power losses by up to 74.725 percent under heavy loading conditions. Evaluations using operational data from the Cairo and Taiwan distribution grids confirm reduced power losses alongside superior fitness scores. Across all examined scenarios, the optimization technique delivers substantial improvements to bus voltage levels throughout the networks.
Electrical distribution networks often experience significant energy losses and unstable voltages as power demand grows. By coordinating network reconfiguration with the optimal placement of distributed generators, grid operators can minimise energy waste and stabilise supply. Computational techniques that effectively solve these complex optimization problems help utilities manage growing demand more efficiently without costly infrastructure overhauls.
The method is relevant to electrical distribution utilities and power systems engineering software providers seeking to cut technical losses and integrate distributed generation. Because the technique was evaluated on actual network models from Cairo and Taiwan, it represents applied and tested research at the simulation stage. Commercial use would require integrating the algorithm into existing distribution management systems or grid planning software suites.
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This article presents an improved heap-based optimizer (IHBO) for dealing with the optimal combination of power distribution system reconfiguration and distributed generators allocation in power distribution systems (PDSs). The suggested IHBO tries to improve on the conventional HBO by integrating an efficient exploitation mechanism to increase the exploring around the leadership position, with the goal of increasing its global search skills and avoiding being trapped in a local optimum. Three PDSs are studied, including a conventional IEEE PDS of 33-bus and two actual PDSs of 59-bus Cairo distribution system, Egypt, and 84-bus Taiwan Power Company (TPC), Taiwan. For the IEEE standard system, the proposed IHBO algorithm achieves the maximum reduction of power losses of 69.44%, 72.29%, and 74.725% for low, nominal, and high loadings, respectively. For the Cairo PDS, the proposed IHBO obtains the best performance with the least minimum, average and maximum fitness of 1.4149, 1.444, and 1.496, respectively. For the Taiwan PDS, it achieves the least minimum, average and maximum losses of 240.88, 264.16, and 308.49 kW, respectively. It also exhibited a significant improvement in voltages throughout the PDS buses.
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DOI: 10.1109/jsyst.2021.3136778
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