Optimal day-ahead dispatch of an alkaline electrolyser system concerning thermal–electric properties and state-transitional dynamics

Green hydrogen is viewed as a promising energy carrier for sustainable development goals. However, it has suffered from high costs hindering its implementation. For stakeholder who considers both renewable and electrolysis units, important to exploit the flexibility of such portfolios maximize system operational revenues. To this end, an electrolyser model that can characterize dynamic behavior required in electric thermal aspects. In paper, we develop comprehensive alkaline capable describing production properties, temperature variations state transitions (among production, stand-by off states). This further used study optimal dispatch based on real-world hybrid wind/electrolyser system. The results show effectively capture coupling between thermal–electric dynamics on–off performance electrolyser. flexible operation strategy proven significantly increase daily revenues under different spot price conditions electricity. Comparing with ones derived conventional modeling methods reveals offers more operating details highlights several features, preference working at partial load conditions, although expense computing resources. It suggested use studies related integration, planning control scheme development, which multi-domain properties electrolysers electricity/gas/heat need be properly characterized. A sensitivity analysis key parameters also introduced connect long-term planning.