A Method for Generator Set Optimization

A technology for generator sets and generators, applied in the fields of genetic laws, data processing applications, system integration technology, etc., can solve problems such as insufficient optimization effect and low robustness, and achieve extended life, fast convergence, and convenient maintenance. Effect

Active Publication Date: 2022-05-06
HANGZHOU DIANZI UNIV
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  • Abstract
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  • Claims
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Problems solved by technology

The optimization effect of these model methods is not good enough, and the robustness is not strong

Method used

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  • A Method for Generator Set Optimization
  • A Method for Generator Set Optimization
  • A Method for Generator Set Optimization

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Embodiment Construction

[0044] The present invention will be further described below in conjunction with the accompanying drawings.

[0045] Such as figure 1 Shown, the concrete steps of the inventive method are as follows:

[0046] Step (1). Determine the objective function of the mathematical model of unit combination optimization problem

[0047]

[0048] In the formula: T is the total number of time periods, N is the number of units, u it is the state of unit i in time period t, u it A value of 0 means shutdown, u it A value of 1 means power on, P it is the output of unit i in period t, F i (P it ) is the power generation cost of unit i in time period t, F si (t) is the start-up cost of unit i in period t, and the calculation formula is as follows:

[0049]

[0050]

[0051] In the formula: a i ,b i ,c i is the operating cost parameter of unit i, S 0,i ,S 1,i ,τ i is the start-up cost parameter of unit i, is the downtime of unit i in time period t. The constraints of the o...

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Abstract

The invention provides a method for optimizing a generator set. The unit combination optimization of the present invention is a double-layer optimization problem. The first-level optimization is a unit input optimization problem. The improved genetic algorithm is used to optimize the unit input. On the basis of the determination of the unit input, the second-level optimization is performed. Optimization is the optimization of unit output, which is solved by quadratic programming, and the result of quadratic programming is used as a fitness function to further affect the evolution of individuals in the genetic algorithm. The method can efficiently and quickly optimize the unit combination for the power company, reduce energy consumption, facilitate unit maintenance, prolong the life of the generator, and provide high-quality electric energy for the society. The improved genetic algorithm has the characteristics of global convergence, smoothness, faster convergence and more robustness, and it is more suitable for optimizing unit combination optimization when combined with quadratic programming.

Description

technical field [0001] The invention belongs to the field of generator unit optimization, and in particular relates to an optimization method for synergistically optimizing unit input and unit output. Background technique [0002] The unit combination problem refers to optimizing the start-up and shutdown plan that satisfies various constraints reasonably within a period, so as to minimize the total operating cost of the unit, minimize the energy consumption of the unit in the entire period, and thus operate economically. Combinatorial optimization can greatly improve the operating efficiency of the power system. This is a unit combination optimization problem, which has always been a hot and difficult point in the power system. The problem of unit combination mainly has two aspects. One is the unit combination. Considering the constraints of system capacity and backup, power balance constraints, and upper and lower limits of generator output power, optimize and determine t...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q50/06G06N3/12
CPCG06Q10/04G06Q50/06G06N3/126Y04S10/50Y02E40/70
Inventor 颜成钢葛作鹏黄晓峰李竹孙垚棋张继勇张勇东
Owner HANGZHOU DIANZI UNIV
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