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Multi-stage reservoir optimal scheduling method based on a mixed cuckoo optimization algorithm

A technology for optimizing scheduling and optimizing algorithms, applied in computing, computing models, instruments, etc., can solve problems such as low utilization of water energy, waste of resources, and water abandonment

Pending Publication Date: 2019-04-05
XINJIANG UNIVERSITY
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Problems solved by technology

In many large hydropower stations in my country, most of the water energy utilization rate is not high, and the large amount of electric energy generated is often not effectively utilized, resulting in large areas of water abandonment, resulting in a large amount of waste of resources

Method used

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  • Multi-stage reservoir optimal scheduling method based on a mixed cuckoo optimization algorithm
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  • Multi-stage reservoir optimal scheduling method based on a mixed cuckoo optimization algorithm

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Embodiment

[0094] The following takes a cascade hydropower station in the Manas River Basin as an example to illustrate the effectiveness and rationality of the method in this specific implementation mode.

[0095] A power plant in the Manas River Basin is located in the middle reaches and was built in 1961. This power plant is also one of the earliest hydropower plants developed and established in Xinjiang. There are 5 cascade hydropower stations, consisting of 13 hydro-generator units, with a total installed capacity of more than 60,000 KW. Among them, the newly-built first-level hydropower station is composed of 4 hydro-generator units, with an annual designed power generation capacity of 189 million kwh. The main technical indicators of each power station of the power plant are shown in Figure 20 , see the technical specifications of the 13 turbines Figure 21 ;

[0096] According to the specific situation of a cascade hydropower station in Xinjiang, the optimal dispatching model ...

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Abstract

The invention discloses a multi-stage reservoir optimal scheduling method based on a mixed cuckoo optimization algorithm, and relates to the technical field of water conservancy and hydropower. The method comprises the following steps of Acquiring basic information of the cascade reservoir system; based on the defects of a standard cuckoo algorithm, introducing a boundary variation principle and avariable step size strategy into the standard cuckoo algorithm to obtain a self-adaptive cuckoo algorithm; providing A novel cuckoo search algorithm based on a simulated annealing algorithm, and adopting the cuckoo algorithm as a global algorithm search algorithm; And solving the multi-stage reservoir optimal scheduling model established in the step 1 by using an improved mixed cuckoo algorithm to obtain the power generation flow, the power generation water head and the hydropower station output condition of the multi-stage reservoir in each month. The method breaks through the energy development trapped bureau in China, ensures timely energy consumption, reduces the amount of discarded water and electricity, provides reference for operation of the hydropower station, and has certain theoretical significance and engineering application value.

Description

technical field [0001] The invention relates to the technical field of water conservancy and hydropower, in particular to a multi-stage reservoir optimal scheduling method based on a hybrid cuckoo optimization algorithm. Background technique [0002] my country has formed the world's largest interconnected hydropower system, but there are many problems in the operation and dispatch of hydropower. In many large-scale hydropower stations in my country, most of the water energy utilization rate is not high, and the large amount of electric energy generated cannot be effectively utilized, resulting in large areas of water abandonment and a large amount of waste of resources. Contents of the invention [0003] The purpose of the present invention is to address the defects and deficiencies of the prior art, to provide a rationally designed multi-stage reservoir optimal dispatching method based on the hybrid cuckoo optimization algorithm, to solve the dilemma of energy developmen...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06N3/00
CPCG06N3/006G06Q10/04G06Q10/06315
Inventor 樊小朝魏博史瑞静王维庆李笑竹
Owner XINJIANG UNIVERSITY
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