Substation technology selection for environment efficient power distribution system in India: an integrated AHP-TOPSIS-based approach

Abstract

Purpose This study aims to provide a scientific framework for the selection of suitable substation technology in an electrical power distribution network. Design/methodology/approach The present paper focuses on adopting an integrated multi-criteria decision-making approach using the Delphi method, analytic hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS). The AHP is used to ascertain the criteria weights, and the TOPSIS is used for choosing the most fitting technology among choices of air-insulated substation, gas-insulated substation (GIS) and hybrid substation, to guarantee educated and supported choice. Findings The results reveal that the GIS is the most preferred technology by area experts, considering all the criteria and their relative preferences. Practical implications The current research has implications for public and private organizations responsible for the management of electricity in India, particularly the distribution system as the choice of substations is an essential component that has a strong impact on the smooth functioning and performance of the energy distribution in the country. The implementation of the chosen technology not only reduces economic losses but also contributes to the reduction of power outages, minimization of energy losses and improvement of the reliability, security, stability and quality of supply of the electrical networks. Social implications The study explores the impact of substation technology installation in terms of its economic and environmental challenges. It emphasizes the need for proper installation checks to avoid long-term environmental hazards. Further, it reports that the economic benefits should not come at the cost of ecological degradation. Originality/value The present study is the first to provide a decision support framework for the selection of substation technologies using the hybrid AHP-TOPSIS approach. It also provides a cost–benefit analysis with short-term and long-term horizons. It further pinpoints the environmental issues with the installation of substation technology.

Choosing The Right Photovoltaic Panel for Electric Vehicles: An Integrated Decision Support Model

“…This section describes PV panel technology selection for electric vehicles by utilizing integrated MCDM techniques that are widely applied to providing decision support for crucial factors [17], [18]. Not only does BWM require fewer comparative statistics, but the results from BWM showcase significantly more consistency than other similar tools, such as the Analytical Hierarchy Process, which makes the approach more reliable [19].…”

“…The resulting weights are further evaluated for alternative processes. Alternatives are evaluated by employing methods such as TOPSIS, VIKOR and PROMETHEE, out of which TOPSIS is preferred when a study examines several criteria and alternatives and data is quantitative [18]- [20]. TOPSIS ranks with greater clarity, rendering its implementation a logical choice.…”