Energy storage integration with run of river power plants to mitigate operational environmental constraints: Case study of Sweden

Increasing environmental restrictions, create stringent regulations for the use and management of rivers water bodies, thereby jeopardizing operational flexibility hydropower plants. The national plan new in Sweden is expected to be implemented 2025. Hence, it imperative producers consider alternatives which can overcome restrictions providing flexibility. In this paper, a Mixed Integer Linear Programming (MILP) based algorithm short-term regulation plants with energy storage proposed. There are two stages algorithm: Future electricity market prices model using machine learning techniques, combined plant battery system (CHBS)’s operation MILP. designed used analyze techno-economic feasibility three Skattungbyn, Unnån Hansjö, located lower Oreälven river Sweden. Three different scenarios were developed on Swedish nuclear targets 2040. forecasted act as inputs optimization algorithm. optimizes an objective maximize revenue through harnessing enabled by storage. It observed from results that current costs ( ≈ 0.36 million €/MWh), CHBS not profitable NPV ranging −1 −4 € cost needs less than 50 000 €/MWh make economically feasible. • Optimization model. Long term forecast day-ahead price until Mixed-integer linear programming schedule hybrid operation. Model evaluated river,