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Optimal Siting and Sizing of Compressed Air Energy Storage in the South African Grid: A Bi-Level Optimisation Approach for Loss and Congestion Reduction

Domaine:

environment and energy

Type de record:

paper
Créateur:
TshMwa
Éditeur:
Elsevier BV
Hôte:
Integrating advanced adiabatic compressed air energy storage (AA-CAES) with an optimized energy management (EM) system presents a promising approach to mitigating grid congestion, power losses, and reliability issues in distribution networks. This study presents a multi-tier optimisation approach for a grid, PV, and AA-CAES system within the IEEE 33-bus network, specifically implemented in the Western Cape corridor between Somerset West and Khayelitsha. The upper-level optimisation seeks to reduce capital (CAPEX) and operational (OPEX) costs, whereas the lower level focuses on decreasing power losses and alleviating network congestion. A hybrid methodology integrates a Genetic Algorithm (GA) for system sizing and siting with Proximal Policy Optimisation (PPO) for real-time energy management. The findings indicate a reduction of roughly 35% in power losses and 29.20% in congestion levels, along with improved overall system efficiency. These results underscore the proposed framework’s capacity to enhance grid efficiency and enable renewable energy integration in limited distribution networks.

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