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水库通常肩负发电、防洪、生态、航运等多重任务,需要在建模过程中均衡考虑水利、电力、环保等相关主体的利益诉求,使得水库群在开展联合优化调度时面临数目众多、形式各异的约束条件.在各项约束的传递、交织、耦合等综合作用下,可行搜索空间大幅缩窄并呈现出复杂的时空关联特征,加剧了水库群优化调度的建模求解难度.为此,从数学集合运算理论出发,提出了集成水库群优化调度多重复杂运行约束的知识规则降维方法:根据实际问题对单一水库开展单阶段、两阶段和多阶段可行域辨识操作,通过各水库的有机协调来动态生成水库群系统的可行决策空间,规避非可行解的无效计算,提高方法的计算效率与寻优性能.工程实例表明,所提方法能有效降低水电调度建模计算测度,切实保障传统算法所得结果的可行性与可用性.
Generally, reservoirs have multiple tasks such as power generation, flood control, ecology, shipping and so on. They need balanced consideration of interest demands of relevant subjects such as water conservancy, electric power and environmental protection in the process of modeling so that a large number of reservoirs are faced with joint optimization and dispatch, Under the combined effect of various constraints such as transfer, intertwining and coupling, the feasible search space is greatly narrowed and complex temporal-spatial correlation characteristics are presented, which exacerbates the difficulty of modeling the optimal operation of reservoir group.Therefore, Based on the theory of mathematical set operation, a knowledge dimensionality reduction method based on multi-complex operation constraints of integrated reservoir group is put forward. Based on practical problems, single reservoir can be identified by one-stage, two-stage and multi-stage feasible regions. To dynamically generate the feasible decision space of reservoir group system, to avoid the ineffective calculation of non-feasible solution and to improve the computational efficiency and optimization performance of the method.Examples show that the proposed method can effectively reduce the computational measure of hydropower dispatching modeling and effectively protect the traditional algorithm Feasibility and availability of the results obtained.