A collaborative optimization method and system for short-term peak-shaving scheduling of cascade hydropower station groups

Abstract

The invention discloses a short-term peak regulation scheduling collaborative optimization method and system for a cascade hydropower station group, and belongs to the fields of efficient water resource utilization and water and electricity dispatching. The method comprises the following steps of randomly generating an initial population, and then evaluating the fitness value of each individual and updating an individual extreme value and a global extreme value; utilizing the gauss neighborhood search to improve population global exploration capability, utilizing an elitist guiding strategy toenrich the evolution directions, utilizing a random variation strategy to improve the individual diversity, repeating the above process until a search stopping condition is met, and using a population global extreme value obtained when the maximum iteration number as an optimal scheduling process of the cascade hydropower station group. Compared with a traditional hydroelectric power dispatchingmethod, the method has the advantages of being high in convergence speed, low in programming implementation difficulty, high in global searching capacity and the like, a reasonable and feasible dispatching scheme can be rapidly obtained, and an effective method is provided for the short-term peak regulation dispatching of the cascade hydropower station group.

Description

technical field [0001] The invention belongs to the field of efficient utilization of water resources and hydropower dispatching, and more specifically relates to a collaborative optimization method and system for short-term peak-shaving dispatching of cascade hydropower station groups. Background technique [0002] The short-term peak-shaving scheduling of cascade hydropower station groups is an important research issue for the economic operation of cascade hydropower stations under the power market mechanism. Its purpose is to reduce the residual load of the power grid as much as possible by rationally arranging the operation mode of each hydropower station. The objective function is as follows: [0003] [0004] Among them, F is the value of the objective function; L t is the grid load in the tth time period; P n，t is the output of the nth hydropower station in the tth time period. [0005] During the scheduling process, the following constraints usually need to be m...

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Problems solved by technology

[0013] Aiming at the above defects or improvement needs of the prior art, the present invention provides a collaborative optimization method and system for short-term peak-shaving scheduling of cascade hydropower station groups, thereby solving the problems of premature convergence and performance when the standard SCA algorithm solves the short-term scheduling problem of cascade hydropower station groups. Poor technical issues

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