Multi-target peak regulation optimizing method and system

An optimization method and multi-objective technology, applied in the field of multi-objective peak shaving optimization methods and systems, can solve problems such as lack of information, strong subjectivity, lack of refined or more objective weight determination methods, etc.

Active Publication Date: 2013-01-02
POWER DISPATCHING CONTROL CENT OF GUANGDONG POWER GRID CO LTD +1
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Problems solved by technology

[0004] (2) In terms of determining the target weights of multi-objective optimization problems, it is still largely based on the manual experience of the operation and scheduling personnel, which is highly subjective and lacks a refined or more objective method for determining the target weights
However, the objective weights of multiple optimization objectives in the objective function are directly related to the final optimization results. The existing commonly used weight assignment methods include fuzzy mathematics, analytic hierarchy process, and expert scoring. To a certain extent, multi-objective optimization can be carried out, but there are still some problems, which are highlighted by strong subjectivity, and the optimization results are heavily dependent on manual experience, etc., such as: the level of AHP has large differences, and depends on the subjective bias of the evaluators for various indicators The fuzzy mathematics method overemphasizes the role of extreme values, resulting in the lack of information; the expert scoring method is difficult to operate

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  • Multi-target peak regulation optimizing method and system
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  • Multi-target peak regulation optimizing method and system

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Embodiment 1

[0023] see figure 1 As shown in , it is a schematic flowchart of the multi-objective peak shaving optimization method according to the embodiment of the present invention. Such as figure 1 As shown, the multi-objective peak shaving optimization method in this embodiment includes the following steps:

[0024] Step S101: assign initial values ​​to the corresponding target weights in the pre-established multi-objective peak-shaving optimization model, and enter step S102, where the assigned initial values ​​are used as the original target weights, and the original target weights have no special requirements , can be given arbitrarily, but the sum of the original target weights is "1". The objective function in the multi-objective peak-shaving optimization model includes multiple optimization objectives. After assigning the target weights corresponding to each optimization objective, Transform the multi-objective optimization problem into a single-objective optimization problem;...

Embodiment 2

[0068] In order to facilitate the understanding of the present invention, a practical example is given in this embodiment to further introduce the present invention.

[0069] Taking the multi-objective optimization problem of Guangdong Power Grid's Spring Festival low-load day (February 14, 2010) as an example, the entropy weight determination model of that day can be established. From the multi-objective peak shaving optimization in Example 1, the three evaluation index values ​​on February 14, 2010 are: x 1 =80589957.82,x 2 =39728038.16, x 3 =88.39, after the same quantification: x' 1 =0.31, x' 2 =0.36,x' 3 = 0.07.

[0070] Therefore, the entropy weights of the three evaluation indicators are: w 1 =0.34, w 2 =0.35,w 3 = 0.31.

[0071] Substituting the entropy weight into the peak shaving optimization objective function, the new optimization result and the initial value of each objective weight (w 1 =0.60,w 2 =0.20, w 3 =0.20) and the comparison of the optimizatio...

Embodiment 3

[0075] According to the above-mentioned multi-objective peak-shaving optimization method of the present invention, the present invention also provides a multi-objective peak-shaving optimization system, and a specific example of the multi-objective peak-shaving optimization system of the present invention will be described in detail below. image 3 shows a schematic structural diagram of an embodiment of the multi-objective peak-shaving optimization system of the present invention, the multi-objective peak-shaving optimization system in this embodiment includes an initial value assignment module 201, a first peak-shaving scheme determination module 202, an entropy weight Determination module 203, second peak shaving scheme determination module 204, wherein:

[0076] The initial value assignment module 201 is used to assign initial values ​​to the corresponding target weights in the pre-established multi-objective peak shaving optimization model, wherein the assigned initial val...

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Abstract

The invention provides a multi-target peak regulation optimizing method and system. The method comprises the following steps: initial values are respectively assigned for corresponding target weights in pre-established multi-target peak regulation optimizing models; a first peak regulation scheme is obtained according to the multi-target peak regulation optimizing models after the initial values are assigned, and the value of each optimizing target in each multi-target peak regulation optimizing model is determined to be used as the original value of the corresponding optimizing target through the first peak regulation scheme; the entropy weight of each optimizing target is determined respectively according to each original value in an entropy weight method, and each entropy weight is assigned to the corresponding target weight in each multi-target peak regulation optimizing model; and a second peak regulation scheme is obtained according to the multi-target peak regulation optimizing model after the entropy weights are assigned. The multi-target peak regulation optimizing method disclosed by the invention is independent of artificial experiences, the randomness of dereferencing of a multi-target optimizing problem is effectively avoided, and the peak regulation optimizing effect is further improved.

Description

technical field [0001] The invention relates to the field of electric power technology, in particular to a multi-objective peak regulation optimization method and system. Background technique [0002] For large-scale power systems including thermal power, hydropower, nuclear power, pumped storage, wind power, biomass power, gas power and other types of power sources, it is difficult to optimize peak regulation. Mainly manifested in: [0003] (1) In terms of peak shaving optimization modeling, traditional peak shaving optimization is usually modeled as a single-objective optimization problem, that is, only the minimum coal consumption is used as the optimization objective function. With the promotion of low-carbon economy and clean energy international situation, multi-objective peak shaving optimization has gradually become a research hotspot. At present, most of the peak shaving schemes are evaluated from the perspective of economic indicators such as coal consumption, net...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/06
Inventor 卢恩马煜华陈亮谢敏李嘉龙王一陈雨果陈卉灿刘明波
Owner POWER DISPATCHING CONTROL CENT OF GUANGDONG POWER GRID CO LTD
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