Efficient method for AC transmission network expansion planning |
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Authors: | M Rahmani M Rashidinejad EM Carreno R Romero |
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Affiliation: | 1. Electrical Engineering Department, Shahid Bahonar University of Kerman, Kerman, Iran;2. Faculdade de Engenharia de Ilha Solteira, UNESP - Univ Estadual Paulista, Departamento de Engenharia Elétrica, Ilha Solteira, SP, Brazil;3. Centro de Engenharia, Universidade Estadual do Oeste de Parana, UNIOESTE, Foz do Iguaçu - PR – Brazil |
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Abstract: | A combinatorial mathematical model in tandem with a metaheuristic technique for solving transmission network expansion planning (TNEP) using an AC model associated with reactive power planning (RPP) is presented in this paper. AC-TNEP is handled through a prior DC model while additional lines as well as VAr-plants are used as reinforcements to cope with real network requirements. The solution of the reinforcement stage can be obtained by assuming all reactive demands are supplied locally to achieve a solution for AC-TNEP and by neglecting the local reactive sources, a reactive power planning (RPP) will be managed to find the minimum required reactive power sources. Binary GA as well as a real genetic algorithm (RGA) are employed as metaheuristic optimization techniques for solving this combinatorial TNEP as well as the RPP problem. High quality results related with lower investment costs through case studies on test systems show the usefulness of the proposal when working directly with the AC model in transmission network expansion planning, instead of relaxed models. |
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Keywords: | Transmission expansion Real genetic algorithm Reactive power planning Power system planning VAr-plant |
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