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Day-ahead scheduling optimization method for micro-energy network with electricity-heat-gas combined supply

An optimization method and micro-energy technology, applied in resources, instruments, data processing applications, etc., can solve problems such as increased cost, inaccurate prediction of prediction technology, and low utilization rate of micro-energy grids

Inactive Publication Date: 2019-12-06
SICHUAN UNIV
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a day-ahead scheduling optimization method for a micro-energy grid with cogeneration of electricity, heat and gas, which mainly solves the randomness and uncertainty of existing wind power and other intermittent energy sources in the prior art, and the existing prediction technology It cannot be accurately predicted, resulting in the low utilization rate of the micro-energy grid, increased costs, and poor economics

Method used

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  • Day-ahead scheduling optimization method for micro-energy network with electricity-heat-gas combined supply
  • Day-ahead scheduling optimization method for micro-energy network with electricity-heat-gas combined supply
  • Day-ahead scheduling optimization method for micro-energy network with electricity-heat-gas combined supply

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Embodiment

[0067] Such as figure 1 and figure 2 As shown, a day-ahead scheduling optimization method for a micro-energy grid with cogeneration of electricity, heat and gas includes the following steps:

[0068] (S1) Establish a two-layer robust optimization scheduling model;

[0069]

[0070] Among them, d T x represents the outer objective function, (e T y+f T u) represents the minimization objective function of the inner layer based on x, y represents the optimization variable of the inner layer of the model, u represents the uncertain variable, and D, F, G, I u Represents the coefficient matrix of the correlation constraints, and g and h represent the column vectors of the correlation constraints.

[0071] The inner layer of the above-mentioned double-layer optimization model includes the minimization problem of the uncertain quantity u, which is further processed by the robust optimization method, and the following double-layer robust model can be obtained:

[0072]

[0...

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Abstract

The invention discloses a day-ahead scheduling optimization method for a micro-energy network with electricity-heat-gas combined supply, mainly solving the problems of randomness and uncertainty of intermittent energy sources such as wind power and the like in the prior art. The day-ahead scheduling optimization method comprises the following steps: (S1) establishing a double-layer robust optimization scheduling model; (S2) optimizing a scheduling objective function on the basis of the established double-layer robust scheduling mode; (S3) establishing constraint conditions of double-layer robust optimization scheduling; and (S4) solving the model by using a column sum constraint generation algorithm. According to the scheme, the micro-energy grid can meet various loads, so that the robustness of the model is realized, and the practicability is higher, and the economic benefit is better, and the day-ahead scheduling optimization method has very high practical value and promotional value.

Description

technical field [0001] The invention belongs to the technical field of micro-energy grids, and in particular relates to a day-ahead scheduling optimization method for micro-energy grids with electricity, heat and gas cogeneration. Background technique [0002] In recent years, with the continuous growth of the national economy, my country's power system has developed rapidly. At the same time, the environmental pollution caused by the fossil energy crisis and traditional coal energy has become increasingly prominent. In response to severe environmental challenges, new energy is gradually recognized as an effective and clean energy that can replace traditional coal and fossil energy due to its renewable and environmentally friendly characteristics. In order to better access new energy sources such as wind power and ensure the security of the power grid, micro-grid technology has emerged as the times require. In addition, through the deployment of cogeneration units, electri...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06
CPCG06Q10/04G06Q10/06312G06Q10/06315G06Q50/06
Inventor 刘洋叶雁犁陈贤邦
Owner SICHUAN UNIV
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