article · CIRED - Open Access Proceedings Journal
This research focuses on improving medium-voltage distribution systems by determining the best placement and sizing of shunt capacitors. The approach seeks to lower energy losses, reduce the loading levels on transformer substations, and ensure the economical penetration of capacitor devices. It also examines how shifting network tie-line switches influences capacitor allocation. To address these technical and economic goals under standard operational constraints, a swarm intelligence method based on the crow search algorithm is applied. The optimisation methodology was tested on the East Delta Network, a real-world distribution system operating within the Unified Egyptian Network. The results demonstrated substantial technical and economic benefits, confirming the effectiveness of the algorithm for network planning and management.
Inefficiencies in electrical distribution networks lead to substantial energy loss and place heavy loads on power equipment. By finding the most effective locations for capacitors, electricity operators can run systems more efficiently, lower operational costs, and ease the strain on transformers, helping to maintain a more stable and cost-effective power supply.
This work is directly relevant to electrical utilities and distribution system operators seeking software tools to improve grid planning and asset management. The methodology has been applied and tested on an operational medium-voltage system, the East Delta Network, indicating a mature analytical model that could be adapted into grid management planning software, though the abstract does not describe a commercial-ready software product.
AI-generated from the published abstract. Always read the original work before citing.
This study aims at enhancing the performance of medium-voltage distribution systems. Improving the performance of distribution networks is employed through optimally reducing the energy loss, minimising of the loading level for the transformer substation, and economical penetration of shunt capacitors. Moreover, the impacts of changing the switching tie-line in the distribution network on the optimal allocation of the capacitor devices are discussed. A novel recent powerful swarm intelligence optimiser called crow search algorithm (CSA) is developed for optimal allocations of capacitors into electrical distribution networks. Achieving the technical and economical objective functions is subjected to various operational limits. The proposed procedure is applied on East Delta Network (EDN) as a real distribution network in the Unified Egyptian Network. Significant technical and economical merits are satisfied which prove the capability of the proposed allocation procedure.
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DOI: 10.1049/oap-cired.2017.0020
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