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  • Multi-objective integrated ...
    Yuan, Longhu; Liu, Huaixiang; Lu, Yongjun; Zhou, Canhua; Zhou, Chengyang; Lu, Yan

    Journal of hydrology (Amsterdam), July 2024, 2024-07-00, Letnik: 638
    Journal Article

    •Integrated Decision Model: The research introduces a decision model for optimizing the operation of cascade hydropower stations, balancing power generation and ecological considerations.•Jinsha River Case Study: The model’s application in the lower Jinsha River uncovers significant conflicts between energy production and ecological preservation objectives.•Comprehensive Decision-Making: The study underscores the necessity of a holistic decision-making strategy that integrates multiple objectives and utilizes advanced algorithms to promote sustainable river management and align economic and ecological interests. The establishment and functioning of cascade hydropower stations have significantly altered the natural state of rivers, leading to increasingly severe ecological impacts downstream. To mitigate the adverse effects of cascade reservoir impoundment on river ecosystems and achieve the multi-objective goals of hydropower development and environment protection, this study presents an integrated decision model for optimizing the operation of cascade hydropower stations, utilizing the lower Jinsha River as a case illustration. The proposed model comprises three main components: ecological flow calculation, establishment of a multi-objective optimization model, and scheme evaluation. The ecological flow threshold for the river was determined using the Tennant method. The multi-objective optimization model was formulated with objectives including power generation, ecological flow shortage, and navigation disruption days. The NSGA-II algorithm was employed to resolve the optimization framework. The improved TOPSIS method was adopted for evaluating the operation schemes. The case study conducted in the downstream region of the Jinsha River revealed significant conflicts between the objectives of power generation and ecological conservation. Moreover, different typical years exerted a considerable influence on determining the optimal operation scheme. The proposed integrated decision model provides a scientific framework for guiding the water resource dispatching of cascade hydropower stations and achieving the harmonization of economic and ecological benefits. Overall, this research contributes to the academic field by addressing the complex difficulties related to optimizing the operation of cascade hydropower stations while considering ecological concerns. The findings underscore the importance of adopting a comprehensive decision-making approach that integrates multiple objectives and utilizes advanced algorithms for sustainable river management.