Optimization method for solving Pareto solution sets of wind-storage-thermal joint operation system in multiple time periods

An operation system and multi-period technology, applied in the direction of system integration technology, information technology support system, wind power generation, etc., can solve the problems of singleness of optimization results, inability to deal with nonlinear constraints, etc., and achieve the effect of effective support

Inactive Publication Date: 2014-09-10
CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
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Problems solved by technology

This method cleverly combines the advantages of the two optimization algorithms, and makes up for the shortcomings of the two. The problem with linear constraints

Method used

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  • Optimization method for solving Pareto solution sets of wind-storage-thermal joint operation system in multiple time periods
  • Optimization method for solving Pareto solution sets of wind-storage-thermal joint operation system in multiple time periods
  • Optimization method for solving Pareto solution sets of wind-storage-thermal joint operation system in multiple time periods

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Embodiment Construction

[0011] The present invention comprises the following steps:

[0012] 1) Determine the wind power output within the dispatch period

[0013] The wind speed has the characteristics of fluctuation and uncertainty. In order to better simulate the change of the actual wind speed, the present invention adopts the wind speed distribution to establish an uncertain wind power output model.

[0014] The probability density function of wind speed is as follows:

[0015]

[0016] Among them, c and k are scale parameters and shape parameters respectively;

[0017] The simple model used to describe the relationship between wind speed and output wind energy is as follows:

[0018]

[0019] in, is the rated power of the fan, is the rated wind speed of the fan, is the cut-in wind speed, is the cut-out wind speed.

[0020] 2) Determine the mathematical model of the wind-storage-fire combined operation system:

[0021] 2.1) Determination of the objective function

[0022...

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Abstract

The invention relates to a method for solving Pareto solution sets of a wind-storage-thermal joint operation system in multiple time periods after access of large-scale wind power. The method adopts a means combining a traditional genetic algorithm and an NSGA-II algorithm in solving, and respectively solves the problem that the optimization result obtained by adoption of the traditional genetic algorithm is single and the problem that only the Pareto solution set of a single time period can be obtained through optimization by adoption of the NSGA-II algorithm. An optimization result of a wind-storage-thermal joint operation system mathematical model solved by the genetic algorithm is used as the initial value of solution by the NSGA-II algorithm so as to obtain the Pareto solution set of each moment of time through optimization. Compared with the traditional genetic algorithm and the NSGA-II algorithm, the method of the invention can effectively overcome the defects of the two algorithms in the solution process, more comprehensively search out optimization solution sets as many as possible, and provide comprehensive, clear and effective support for decision makers.

Description

technical field [0001] The invention belongs to the technical field of electric power dispatching analysis, and in particular relates to a method for solving a multi-period Pareto solution set of a wind-storage-fire combined operation system after large-scale wind power access. Background technique [0002] With the continuous expansion of my country's wind power scale, the impact of wind power grid integration on the power system is becoming more and more significant, and the phenomenon of wind abandonment continues to appear. Utilizing energy storage systems to participate in power grid peak regulation is an important way to improve the capacity of wind power consumption. As a large-scale energy storage device, the pumped storage power station can be used not only for power generation, but also for load consumption. It is an important measure to improve the peak-shaving pressure of the power grid and increase the capacity of wind power consumption. How to solve the optima...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/00H02J3/38G06N3/12
CPCY02E10/763Y04S10/545Y02E40/76Y02E10/76Y02E40/70Y04S10/50
Inventor 马瑞程璐鲁海威马海洋高晓峰
Owner CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
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