Preprint / Version 1

Hybrid Multi-Criteria Decision Framework for Prosumers Energy Storage Systems in Smart Grids

##article.authors##

  • Muhammad Adnan National university of computer and emerging sciences
  • Marriam Liaqat Department of Electrical Engineering, National University of Computer and Emerging Science Chiniot-Faisalabad Campus
  • Mohaira Ahmad School of Electrical Engineering and Computer Science, National University of Sciences and Technology, Islamabad, Pakistan
  • Muhammad Sajid Iqbal Department of Electrical Engineering, National University of Computer and Emerging Science Chiniot-Faisalabad Campus
  • Faizan Ahmad Department of Electrical Engineering, Namal University Mianwali, Mianwali 42250, Pakistan
  • Sami ud Din Department of Electrical Engineering, Namal University Mianwali, Mianwali 42250, Pakistan

DOI:

https://doi.org/10.31224/4113

Keywords:

Energy management, Multi-criteria methods, Prosumer, Renewable energy, Smart grids

Abstract

Modern power systems encompass multiple prosumers, smart grid technologies, and renewable energy resources (RERs). These prosumer-based smart grids are facing the reliability issues that can be mitigated through the adoption of competitive storage technologies. A range of competitive storage technologies have been developed by scientists. However, the systematic selection of best storage technologies is still one of the main challenging research issues in the current literature. To fill this literature gap, this paper proposes a multi-criteria decision framework for energy storage selection in prosumer-based networks. First, a decision-making hierarchy was developed based on the three main criteria including energy flow management for prosumers, technical features, and sustainability. Under these criteria, various sub-criteria were identified. Second, multi-criteria decision making (MCDM) problem was solved for two cases using Analytic Hierarchy Process (AHP) and Preference Ranking Organization Method for Enrichment of Evaluations (PROMETHEE) methods separately. Third, a hybrid AHP and PROMETHEE method was proposed for the selection of an efficient storage system for prosumers based smart grid. Finally, a comprehensive outlook has been provided for prosumer energy storage. The hybridization of AHP and PROMETHEE methods offered a more robust and unique solution to the storage selection problem as compared to existing literature.

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Posted

2024-11-14