Cascade reservoir multi-objective optimization scheduling method based on improved artificial bee colony algorithm

An artificial bee colony algorithm and multi-objective optimization technology, applied in the fields of reservoir dispatching and water conservancy and hydropower, which can solve the problems of weak local search ability and slow convergence speed in the later stage.

Active Publication Date: 2017-07-14
HOHAI UNIV
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Problems solved by technology

[0005] Purpose of the invention: In view of the shortcomings of the basic artificial bee colony algorithm, such as weak local search ability and slow convergence speed in the later stage, an improved artificial bee colony algorithm is provided, and based on this algorithm, the optimal scheduli

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  • Cascade reservoir multi-objective optimization scheduling method based on improved artificial bee colony algorithm
  • Cascade reservoir multi-objective optimization scheduling method based on improved artificial bee colony algorithm
  • Cascade reservoir multi-objective optimization scheduling method based on improved artificial bee colony algorithm

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Embodiment Construction

[0088] Below in conjunction with specific embodiment, further illustrate the present invention, it should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention, after reading the present invention, those skilled in the art will understand various equivalent forms of the present invention All modifications fall within the scope defined by the appended claims of the present application.

[0089] The performance of artificial bee colony algorithm before and after improvement is tested respectively through experimental design. For convenience, the improved artificial bee colony algorithm will be referred to as IABC algorithm in the future. In the simulation experiment, we choose the following three test functions, namely Sphere function, Rosenbrock function and Rastrigin function, which are defined as follows:

[0090] (1) Sphere Function

[0091]

[0092] min(f 1 ) = f 1 (0,......

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Abstract

The invention discloses a cascade reservoir multi-objective optimization scheduling method based on an improved artificial bee colony algorithm. The method comprises the following steps that s11, the basic information data of a cascade reservoir system are acquired; s12, a multi-objective scheduling model including power generation, estuarine ecology and water supply is established according to the information of the reservoir system; and s13, the optimal scheduling scheme of the cascade reservoir system is solved by performing the improved artificial bee colony algorithm. Global optimization of the reservoir scheduling problem can be realized so that the calculation efficiency and accuracy can be enhanced, and a new approach can be provided for solving the multi-objective optimization scheduling problem of the cascade reservoir system.

Description

technical field [0001] The invention belongs to the field of reservoir scheduling in the field of water conservancy and hydropower, and relates to a multi-objective optimal scheduling method for cascade reservoirs based on an improved artificial bee colony algorithm. Background technique [0002] Reservoir optimal dispatching is a multi-objective, multi-constrained and complex water conservancy system optimal dispatching problem, especially for reservoir systems that undertake multiple tasks such as power generation, water supply, and ecology, it is difficult to solve the optimal dispatching problem. [0003] There are many rivers flowing into the sea in my country, and the interaction between the river and the sea is significant at the confluence of the river and the sea, forming a special and complex natural complex - the estuary. This area is often densely populated and economically developed. The stability of the estuary ecosystem is the sustainable development of society...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06G06N3/00G06Q10/06
CPCG06N3/006G06Q10/04G06Q10/0631G06Q50/06
Inventor 张昕怡方国华成鹏飞边广琦李庆
Owner HOHAI UNIV
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