Multi-energy micro-grid nonlinear comprehensive demand response management method

A technology of demand response and management methods, applied in technical management, data processing applications, instruments, etc., to achieve the effect of reducing operating costs

Pending Publication Date: 2022-04-01
SHANDONG UNIV OF TECH
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  • Claims
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Problems solved by technology

Even with the best forecasting methods, wind power forecasting errors are unavoidable

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  • Multi-energy micro-grid nonlinear comprehensive demand response management method
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  • Multi-energy micro-grid nonlinear comprehensive demand response management method

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[0056] The present invention will be further described below in conjunction with specific embodiments, yet those who are familiar with the art should understand that the detailed description given here in conjunction with the accompanying drawings is for better explanation, and the structure of the present invention must exceed these limited embodiments, As for some equivalent replacement solutions or common means, this article will not describe them in detail, but they still belong to the protection scope of the present application.

[0057] Figure 1~5 It is the best embodiment of the present invention, below in conjunction with attached Figure 1~5 The present invention will be further described.

[0058] like figure 1 Shown: A management method for nonlinear integrated demand response of a multi-energy microgrid, including the following steps:

[0059] Initialize hourly load demand, electricity price, natural gas price and forecasted fan output;

[0060] Determine the ...

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Abstract

The invention discloses a management method for nonlinear comprehensive demand response of a multi-energy micro-grid, and belongs to the technical field of intelligent micro-grids. Initializing the load demand per hour, the electricity price, the natural gas price and the predicted fan output; determining fluctuation ranges of fan output, electric power and natural gas price; initializing the population scale and the maximum number of iterations in the evolutionary predation algorithm; determining an optimal peak-valley period according to a shortest distance algorithm, obtaining an optimal time-sharing price of power and gas loads, and calculating a power elastic coefficient matrix; power, exponent, logarithm and linear demand response models of electricity and gas are executed in sequence, so that demand response of the electricity load and the gas load per hour is obtained; determining a confidence model of fan output according to a confidence theory; and evaluating constraints in the multi-energy micro-grid, calculating an objective function and updating decision variables through an evolutionary predatory algorithm. According to the method, the optimal time-sharing price of the multi-energy micro-grid and the optimal demand response amount at different moments are determined, and the operation cost of the multi-energy micro-grid is reduced.

Description

technical field [0001] A management method for nonlinear comprehensive demand response of a multi-energy microgrid belongs to the technical field of smart microgrids. Background technique [0002] The energy crisis and environmental degradation have prompted people to accelerate the process of energy conversion. Due to the advantages of multi-energy microgrids in low-carbon economy, renewable energy adaptability, power quality, reliability and flexibility, and economy, their attention is rapidly increasing. However, due to the increased penetration level of wind energy, the interaction relationship among electricity, gas and heat grids becomes more complicated than before, which then inevitably leads to insufficient flexibility of multi-energy microgrids. Therefore, developing new methods to enhance the flexibility of electricity and gas networks is a high priority. [0003] Integrated demand response (integrated demand response, IDR), as a cost-effective flexible resource...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06Q10/06G06Q50/06
CPCY02P90/82
Inventor 陈佳佳戎泽坤陈文刚徐丙垠肖传亮
Owner SHANDONG UNIV OF TECH
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