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New energy contained electric power dispatching moment uncertainty distribution robustness optimization method

A technology of moment uncertainty and power dispatching, applied in electrical digital data processing, special data processing applications, instruments, etc., can solve uncertain stochastic programming, inability to solve problems

Active Publication Date: 2015-07-29
CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
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Problems solved by technology

The purpose of the present invention is to use the moment uncertainty distribution robust optimization method in the field of power dispatching to solve the problem that the random programming cannot solve the problem when the probability distribution of new energy generation power has moment uncertainty or the probability distribution of new energy generation power does not exist

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  • New energy contained electric power dispatching moment uncertainty distribution robustness optimization method
  • New energy contained electric power dispatching moment uncertainty distribution robustness optimization method
  • New energy contained electric power dispatching moment uncertainty distribution robustness optimization method

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Embodiment example

[0162] Taking the IEEE-30 node 6 unit system as an example, the pollutant chooses CO 2 , the new energy power plant selects the wind farm. Taking the power reference value as 100MVA, the cost coefficient of the generator, CO 2 Refer to Table 1 for the emission coefficient and the upper and lower limits of unit output, and the carbon price is 80$ / t. Node 1 is a balance node, and wind farms are connected to the system at nodes 22 and 25. Among them, the predicted output of the fan at node 22 is 0.1pu, and the fluctuation variance is 0.02; the predicted output of the fan at node 25 is 0.15pu, and the fluctuation variance is 0.03. The total system load is 2.834pu. The selection of the conditional expectation value in each conditional expectation constraint of the system can be obtained by the linear weighting method, and here it is directly taken as zero. Other baseline requirements are: ¶ 1 = 0.1, γ 2 = 1.1, α 1 = 0.9, α 2 = 0.9, α 3 =0.95, ρ=0. The numerical analysis o...

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Abstract

The invention discloses a new energy generation power considered electric power dispatching moment uncertainty distribution robustness optimization method comprising the moment uncertainty and belongs to the fields of electric power dispatching and uncertainty optimization. The new energy contained electric power dispatching moment uncertainty distribution robustness optimization method comprises step 1, establishing a new energy generation power moment uncertainty set; step 2, establishing an electric power dispatching moment uncertainty distribution robustness optimization method model by the moment uncertainty distribution robustness optimization method; step 3, transforming the model into a semi-definite program through the Lagrangian duality principle. According to the new energy contained electric power dispatching moment uncertainty distribution robustness optimization method, the similar and different characteristics of the distribution obtained by long-term statistics and the distribution obtained by short-term statistics are considered starting from the angle of the uncertainty of the moment so as to provide the safe dispatching scheme; the effect of the multi-electric-field correlation on a system is convenient to consider; the dispatching scheme is provided for sequences which do not exist in the new energy generation power probability distribution.

Description

technical field [0001] The invention belongs to the field of optimization methods for electric power dispatching and uncertain problems, and relates to a robust optimization method for power dispatching moment uncertainty distribution considering that the characteristic parameter moments (expectation and covariance) of the probability distribution of new energy power generation power are uncertain. technical background [0002] Large-scale development and utilization of new energy is one of the important ways to reduce energy consumption, reduce environmental pollution, and address climate change. New energy power generation has developed rapidly at home and abroad, and has shown significant social and environmental benefits. However, new energy power generation has strong randomness, large fluctuations, and weak regularity. Large-scale new energy grid-connected power generation has brought a lot of uncertainty to grid scheduling, operation, and planning. [0003] At presen...

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Application Information

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IPC IPC(8): G06F19/00G06F17/50
CPCY02E60/00
Inventor 周任军闵雄帮刘志勇陈瑞先李献梅
Owner CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
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