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Industrial park energy day-ahead scheduling method and device

A technology of industrial parks and dispatching methods, applied in the energy industry, circuit devices, sustainable manufacturing/processing, etc., can solve the problem of neglecting the load characteristics of the user side, and the dispatching scheme is difficult to fully utilize the multi-energy complementarity and flexible regulation of the comprehensive energy system Economical and efficient energy use, ignoring issues such as high-efficiency comprehensive energy supply structure design, to achieve the effect of improving energy comfort, energy efficiency, and economic efficiency

Pending Publication Date: 2022-01-18
CHINA ELECTRIC POWER RES INST +3
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, the current scheduling method that introduces cogeneration equipment to improve the operation economy of the integrated energy system ignores the research on the user-side load characteristics and the design of the efficient integrated energy supply structure, and the resulting scheduling scheme is difficult to fully utilize The comprehensive energy system has the advantages of multi-energy complementarity, flexible regulation, economical and efficient energy utilization, etc.

Method used

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  • Industrial park energy day-ahead scheduling method and device
  • Industrial park energy day-ahead scheduling method and device
  • Industrial park energy day-ahead scheduling method and device

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Embodiment 1

[0062] The invention provides a day-ahead scheduling method for energy sources in industrial parks, such as figure 1 shown, including:

[0063] Step 1. Obtain the forecasted operation data set of electric vehicles in the industrial park based on the historical operating data of electric vehicles in the industrial park;

[0064]Step 2. Based on the Euclidean distance between every two predicted operation data sets of electric vehicles in the industrial park, perform data reduction on the predicted operation data set of electric vehicles in the industrial park, and obtain the predicted operation of electric vehicles in the industrial park The remaining forecasted operating data in the data set and their corresponding occurrence probabilities;

[0065] Step 3. Based on the remaining predicted operation data in the predicted operation data set of electric vehicles in the industrial park and its corresponding occurrence probability, obtain the energy day-ahead dispatching scheme c...

Embodiment 2

[0135] Based on the same inventive concept, the present invention also provides a day-ahead scheduling device for energy in industrial parks, such as figure 2 shown, including:

[0136] A prediction unit, configured to obtain a forecasted operation data set of electric vehicles in the industrial park based on historical operating data of the electric vehicles in the industrial park;

[0137] The first acquisition unit is used to perform data reduction on the predicted operation data set of electric vehicles in the industrial park based on the Euclidean distance between every two predicted operation data sets of the electric vehicles in the industrial park, and obtain the electric vehicles in the industrial park. The remaining forecasted operating data in the forecasted operating data set of the car and its corresponding occurrence probability;

[0138] The second acquisition unit is used to obtain the energy day-ahead scheduling plan corresponding to the remaining forecasted...

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Abstract

The invention relates to an industrial park energy day-ahead scheduling method and device, and the method comprises the steps: obtaining a predicted operation data set of electric vehicles in an industrial park based on the historical operation data of the electric vehicles in the industrial park; performing data reduction on the predicted operation data set of the electric vehicles in the industrial park based on the Euclidean distance between every two pieces of predicted operation data in the predicted operation data set of the electric vehicles in the industrial park; obtaining an energy day-ahead scheduling scheme corresponding to the residual predicted operation data in the predicted operation data set of the electric vehicles in the industrial park based on the residual predicted operation data in the predicted operation data set of the electric vehicles in the industrial park and the corresponding occurrence probability; based on the energy day-ahead scheduling scheme, performing scheduling on a scheduling day according to the energy day-ahead scheduling scheme of the industrial park. According to the scheduling scheme, the uncertainty of the electric vehicle load in the park is considered, the energy consumption efficiency of the park is improved, and the energy consumption cost is reduced.

Description

technical field [0001] The invention relates to the technical field of integrated energy system scheduling, in particular to a day-ahead scheduling method and device for energy in industrial parks. Background technique [0002] The integrated energy system meets various energy needs by coupling the electricity, heat, and gas energy networks in the region, through the flexible conversion and complementary mutual aid of energy sources, and timely absorbs new energy sources to improve the economy and cleanliness of energy utilization. [0003] Energy consumption in industrial parks accounts for a huge proportion of industrial energy consumption, and there are many types of energy demand, which is the "main battlefield" for the promotion and application of integrated energy systems. Clarify the different characteristics of various loads in the industrial park, match them with the co-production equipment in the comprehensive energy system, establish an efficient energy supply str...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/32H02J3/46H02J3/28H02J3/00
CPCH02J3/322H02J3/466H02J3/28H02J3/003H02J2203/20Y02P80/10Y02T10/40
Inventor 苗博林晶怡刘畅李昊李文张静刘超李斌
Owner CHINA ELECTRIC POWER RES INST