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International MES research in renewable-energy with focus on renewable-integration, humanitarian. Off-grid wind and solar hydrogen technology are large-scale development of renewable energy and achieve low-carbon opera...

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Abstract

Off-grid wind and solar hydrogen technology are large-scale development of renewable energy and achieve low-carbon operation. This article studies the evaluation of the economy of systems using the lowest economic indicator of penalty costs for wind and solar curtailment. Finally, reinforcement learning algorithms are used to solve the optimal optimisation model of systems. The calculation example shows that the proposed optimisation strategy can greatly reduce wind and light waste and improve the overall economic of the system.

Keywords

Reinforcement learningGridProduction (economics)Hydrogen productionReinforcementWind power

Identifiers

DOI
10.1109/ICEPG63230.2024.10775476
Journal
2024 6th International Conference on Energy, Power and Grid (ICEPG)
Year
2024