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Method for solving uncertain unit commitment problem with security constraint based on improved constraint ordinal optimization

A technology of safety constraints and unit combination, applied in the field of power system and automation research, can solve the problems of reducing the size of the feasible region of the model, ignoring the elimination and screening of redundant information of the model, etc., to reduce the computational redundancy, improve the compactness, high The effect of solving efficiency

Active Publication Date: 2017-02-22
CHINA THREE GORGES UNIV
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Problems solved by technology

Judging from the existing research, although the order optimization has been proved to be an effective method to quickly solve the uncertain SCUC problem, the traditional order optimization theory only starts from the solution space and reduces the feasible region scale of the model by constructing a rough model. The removal and screening of redundant information in the model itself is neglected. Therefore, in terms of solution efficiency, the ordinal optimization algorithm still has a lot of room for improvement and improvement. Therefore, it is urgent to study an improved constrained order optimization with safety constraints. Solving method for permanent unit combination problem

Method used

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  • Method for solving uncertain unit commitment problem with security constraint based on improved constraint ordinal optimization
  • Method for solving uncertain unit commitment problem with security constraint based on improved constraint ordinal optimization
  • Method for solving uncertain unit commitment problem with security constraint based on improved constraint ordinal optimization

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Embodiment

[0181] The present invention takes the modified IEEE-118 node power system as an example. The system includes 54 thermal power units, 3 wind farms, and 91 load points, wherein the wind farms are respectively located on nodes 14, 54, and 95, and their rated power 100MW, 200MW, 250MW, active output such as image 3 shown. The positive spinning reserve demand of conventional units in the system is 8% of the maximum system load, the negative spinning reserve demand is 2% of the minimum system load, and the spinning reserve risk index is 0.01. Relevant calculations are completed on an Intel Core i3-3240 processor 3.40GHz, 4G memory computer, and Matlab 8.0 and Cplex 12.5 are used to program and solve the calculation example.

[0182] 1), model solution:

[0183] Table 1 shows the system obtained by using the chance constraint method and the spinning reserve required by each wind farm.

[0184] Table 1 Spinning reserve (MW) of each wind farm

[0185]

[0186] In order to veri...

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Abstract

The invention discloses a method for solving an uncertain unit commitment problem with a security constraint based on improved constraint ordinal optimization. The method comprises the steps that a discrete variable recognition strategy is blended into a rough model at first, and an ordinal optimization rough module based on a constraint condition is established; and then, a non-valid security constraint reduction strategy is brought into a precise model, and an ordinal optimization precise model aiming at a continuous variable is established. In comparison with a traditional constraint ordinal optimization method aiming at an SCUC model, the improvement strategy disclosed by the invention effectively enhances compactness of an ordinal optimization algorithm, reduces computing redundancy and thus has higher solution efficiency.

Description

technical field [0001] The invention belongs to the field of electric power system and automation research, and in particular relates to a method for solving an uncertain unit combination problem with safety constraints based on improved constraint sequence optimization. Background technique [0002] In the context of large-scale access to wind power, the Security Constraints Unit Commitment (SCUC), which takes into account the uncertainty of wind power output and network security constraints, is the main basis for formulating the power system's day-ahead power generation plan. SCUC is a constrained, nonlinear large-scale mixed integer programming problem in mathematics, and it is a typical NP (Non-Deterministic Polynomial, NP) difficult problem in solving. With the continuous expansion of the grid scale and the large-scale access of intermittent renewable energy, the difficulty of solving the SCUC problem is increasing. Therefore, how to effectively and quickly solve the SC...

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Application Information

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IPC IPC(8): G06F17/50G06Q50/06
CPCG06F30/20G06Q50/06
Inventor 杨楠周峥崔家展李宏圣王璇黎索亚
Owner CHINA THREE GORGES UNIV
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