Cascade reservoir optimal scheduling method based on self-adaptive improved particle swarm optimization algorithm
A technology for improving particle swarm and cascade reservoirs, applied in computing, data processing applications, system integration technology, etc., can solve the problems of population loss of diversity, low power generation efficiency of cascade reservoirs, etc., to increase diversity, improve search efficiency and convergence Speed, the effect of improving power generation efficiency
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[0035] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0036] refer to figure 1 , the present invention provides a cascade reservoir optimal dispatching method of an adaptive improved particle swarm optimization algorithm, comprising:
[0037] (1) Obtain the basic data of the cascade reservoir system;
[0038] Specifically, the cascade reservoir of the example of the present invention is composed of two annual regulation reservoirs A and B. Reservoir A is upstream of reservoir B. The water level storage capacity curve, final water level and discharge flow curve of each reservoir are known. Flow rate, normal storage level, stagnant water level, total ...
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