A Multiobjective Approach for the Optimal Placement of Protection and Control Devices in Distribution Networks with Microgrids

• Autor(a) principal: Reiz, Cleberton [UNESP]
• Data de Publicação: 2022
• Outros Autores: Lima, Tayenne Dias De [UNESP], Leite, Jonatas Boas [UNESP], Javadi, Mohammad Sadegh, Gouveia, Clara Sofia
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional da UNESP
• Texto Completo: http://dx.doi.org/10.1109/ACCESS.2022.3166918; http://hdl.handle.net/11449/239892
• topic: compromise programming; Distribution systems; microgrids; non-dominated sorting genetic algorithm; protection system planning

Protection and control systems represent an essential part of distribution networks by ensuring the physical integrity of components and by improving system reliability. Protection devices isolate a portion of the network affected by a fault, while control devices reduce the number of de-energized loads by transferring loads to neighboring feeders. The integration of distributed generation has the potential to enhance the continuity of energy services through islanding operation during outage conditions. In this context, this study presents a multi-objective optimization approach for sizing and allocating protection and control devices in distribution networks with microgrids supplied by renewable energy sources. Reclosers, fuses, remote-controlled switches, and directional relays are considered in the formulation. Demand and generation uncertainties define the islanding operation and the load transfer possibilities. A non-dominated sorting genetic algorithm is applied in the solution of the allocation problem considering two conflicting objectives: cost of energy not supplied and equipment cost. The compromise programming is then performed to achieve the best solution from the Pareto front. The results show interesting setups for the protection system and viability of islanding operation.