Method for optimizing generator set

A technology for generator sets and generators, applied in the fields of genetic laws, instruments, data processing applications, etc., can solve problems such as insufficient optimization effect and weak robustness, and achieve the effects of extending life, fast convergence, and convenient maintenance.

Active Publication Date: 2020-03-06
HANGZHOU DIANZI UNIV
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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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  • Method for optimizing generator set
  • Method for optimizing generator set
  • Method for optimizing generator set

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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. For the method, unit combination optimization is a double-layer optimization problem; first-layer optimization is a unit investment optimization problem, adopts an improved genetic algorithm to optimize unit investment; second-layer optimization is carried out on the basis that the unit investment condition is determined, is unit output optimization and is solved through quadratic programming; and a quadratic programming result serves as a fitness function to further influence evolution of individuals in the genetic algorithm. Themethod can efficiently and quickly optimize unit combination for an electric power company, reduce energy consumption, facilitate unit maintenance, prolong the service life of a generator and providehigh-quality electric energy for the society. The improved genetic algorithm has the characteristics of global convergence, stability, quicker convergence and higher robustness, and is more suitablefor optimizing unit combination optimization by being 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 Applications(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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