Optimal allocation method of complex water resource system based on "zoning-grading" theory

An optimal allocation method of a complex water resource system based on a “zoning-grading” theory, comprising the following steps:

• step 1, obtaining primary information data of the water resource system, comprising a reservoir level-reservoir storage capacity relationship curve, basic characteristic parameters, and geographical location information of reservoirs, pumping stations, river, water pipelines and water plants;
• step 2, generalizing the complex water resource system into different units, comprising nodes and directed line segments;
• step 3, dividing the entire complex water resource system into zones, and respectively establishing digital matrices of hydraulic relationships of different zones;
• and
• step 4, constructing and solving a multigrade optimal allocation model of the water resources system according to water sources types so as to obtain an optimal water allocation solution set;
• wherein the water sources in the step 4 comprise local water and transferred water, wherein the local water comprises water stored in reservoirs and rivers;
• and the step of constructing and solving the multigrade optimal allocation model of the water resource system according to the types of water supply sources comprises the following steps:
• step 4-1, considering only local water, establishing a first-grade single-objective optimal allocation model of water resources:
• with the water resource system of each sub-zone as an object, constructing the single-objective optimal allocation model of water resources of each sub-zone with the maximum water supply guarantee rate of the water plant as an objective function, and with the water balance, the available water supply of local water sources, the discharge capacity of the pumping stations, and the water carrying capacity of the pipelines as constraints;
• step 4-2:
• using an improved single-objective gray wolf algorithm to solve the single-objective optimal allocation model of each sub-zone established in the step 4-1, so as to determine the water deficit WQi of each water plant, wherein i=1,2, . . . , M, and wherein M represents a number of water plants in the entire water resource system;
• step 4-3, considering both the local water and the transferred water, establishing a second-grade multi-objective optimal allocation model of water resources:
• with the entire water resource system as the object, constructing the multi-objective optimal allocation model of water resources with the maximum water supply guarantee rate and the minimum total operating cost as objective functions, and with the amount of the externally transferred water allocated to each water plant not less than the water deficit WQi of each water plant, the water balance, the available water supply of local water sources, the available water supply of externally transferred water resources, the discharge capacity of the pumping stations, and the water carrying capacity of the pipelines as constraints;
• and
• step 4-4, using the improved multi-objective gray wolf algorithm to solve the multi-objective optimal allocation model of the system established in the step 4-3, so as to obtain a Pareto solution set and determine a water supply volume of reservoirs and a transferred water volume, respectively, under different solutions.