War Strategy Optimization for Energy Loss and Electricity Purchase Cost Minimization in Distribution Power Grids by Optimizing Location and Capacity of Clean Power Sources and Soft Open Point Components.
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| Title: | War Strategy Optimization for Energy Loss and Electricity Purchase Cost Minimization in Distribution Power Grids by Optimizing Location and Capacity of Clean Power Sources and Soft Open Point Components. |
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| Authors: | Tran, Hai Van, Nguyen, Thang Trung, Truong, Anh Viet, Biswas, Arnab |
| Source: | International Transactions on Electrical Energy Systems; 9/25/2025, Vol. 2025, p1-21, 21p |
| Subject Terms: | ELECTRIC power distribution grids, RENEWABLE energy sources, DISTRIBUTED power generation, ELECTRICITY pricing, WASTE minimization, RESOURCE allocation |
| Abstract: | The study optimizes the location and capacity of soft open points (SOPs) and renewable energies‐based distributed generators (REDGs) in two IEEE distribution power grids (DPGs) with 33 and 69 nodes for reducing power loss, energy loss, and total electric purchase cost by using war strategy optimization (WSO). The previous studies put one SOPs device each on several predetermined selections while the locations of SOPs are optimally determined in the study. So, WSO can find smaller losses than in previous studies for the two grids over 1 h. Then, the WSO is run to reduce 1‐day energy loss and grid energy purchase cost for the IEEE 69‐node DPG. The grid with renewable power sources (RPSs) and SOPs can reduce the energy loss by 3638.6229 kWh (about 96.1%) compared to the original grid and 1257.2779 kWh (about 89.49%) compared to the grid with RPSs. In addition, the grid with SOPs and RPSs can reach a 3869.9684 and $246.0011 smaller cost than the grid without and with RPSs. The cost reduction is about 61.44% and 9.2% of the total cost of the grids. So, optimal connection and capacity determination of SOPs and REDGs in DPGs is essential to reduce energy loss and energy purchase costs from conventional power grids. [ABSTRACT FROM AUTHOR] |
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| Database: | Complementary Index |
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