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Multi-target plant level load optimization method based on immune optimization and fuzzy decision

A technology of plant-level load and optimization methods, applied in instrumentation, data processing applications, forecasting, etc.

Inactive Publication Date: 2013-12-11
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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  • Abstract
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Problems solved by technology

[0011] The purpose of the present invention is to provide a multi-objective plant-level load optimization method based on immune optimization and fuzzy decision-making, which is used to solve the problems existing in the existing thermal power plant plant-level load optimization method

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  • Multi-target plant level load optimization method based on immune optimization and fuzzy decision
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  • Multi-target plant level load optimization method based on immune optimization and fuzzy decision

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Embodiment Construction

[0043] The preferred embodiments will be described in detail below in conjunction with the accompanying drawings. It should be emphasized that the following description is only exemplary and not intended to limit the scope of the invention and its application.

[0044] The immune multi-objective algorithm has strong adaptability and diversity, and has the functions of learning, recognition and memory. It can solve a large number of nonlinear problems and has been widely used in the field of science and technology. The immune multi-objective algorithm is already a mature algorithm, and many engineering computing software provide the immune multi-objective algorithm.

[0045] like figure 1 As shown, the flow of the immune multi-objective algorithm is as follows:

[0046] (1) Randomly generate the initial population;

[0047] (2) Calculate the objective function value of each antibody;

[0048](3) According to the non-inferiority level of the antibody, perform non-inferiority...

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Abstract

The invention discloses a multi-target plant level load optimization method based on immune optimization and fuzzy decision in the technical field of energy-saving power generation. The multi-target plant level load optimization method comprises the steps that a thermal power plant coal consumption model, a model of time needed for completing distributed loads, and a nitric oxide emission model are established respectively; coal consumption characteristic parameters, current bearing loads, permitted load change rates and nitric oxide emission characteristic coefficients of all units in a thermal power plant are determined; constraint conditions of the models are determined, including upper limit and lower limit constraint conditions and balance constraint conditions of active power; a solution set including the active power of all the units in the thermal power plant, thermal power plant coal consumption, time needed for completing the distributed loads of the thermal power plant, and the nitric oxide emission of the thermal power plant is obtained through an immune multi-target algorithm; an optimal solution is selected from the solution set to serve as output power of all the units in the thermal power plant. According to the multi-target plant level load optimization method based on immune optimization and fuzzy decision, the immune multi-target algorithm is used for realizing multi-target plant level load distribution, an optimal power distribution scheme for the power plant units is decided according to a fuzzy decision theory, and therefore the computational process is faster and more accurate.

Description

technical field [0001] The invention belongs to the technical field of energy-saving power generation, and in particular relates to a multi-objective plant-level load optimization method based on immune optimization and fuzzy decision-making. Background technique [0002] With the gradual implementation of "separation of factories and grids, online bidding" and the development of smart grids, new energy has been vigorously developed, but the core pillar position of thermal power in the grid has not changed, but has put forward higher requirements for it, namely There is an urgent need for plant-level load optimization scheduling to be based on multi-objective optimal scheduling such as safety, rapidity, economy, and environmental protection, rather than the previous single-objective or dual-objective optimal scheduling. [0003] Plant-level load optimization allocation is a high-dimensional, non-convex, discrete, and nonlinear optimization problem. Common power plant load op...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06
Inventor 袁桂丽于童薛彦广
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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