Day-ahead intra-day scheduling method considering multi-type demand response uncertainty

A demand response, uncertainty technology, applied in data processing applications, instruments, resources, etc., can solve problems such as uncertainty modeling

Inactive Publication Date: 2020-12-18
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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Problems solved by technology

[0004] The problem to be solved by the present invention is to model the uncertainty of different types of demand responses, and to reduce operating costs and safety risks through the optimal scheduling of the power grid in the day ahead in combination with other output resources

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  • Day-ahead intra-day scheduling method considering multi-type demand response uncertainty
  • Day-ahead intra-day scheduling method considering multi-type demand response uncertainty
  • Day-ahead intra-day scheduling method considering multi-type demand response uncertainty

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Embodiment Construction

[0106] In order to illustrate the purpose, technical scheme and advantages of the present invention, the present invention will be further described below:

[0107] A day-ahead intraday scheduling method considering multiple types of demand response uncertainties, including the following steps:

[0108] Step 1. According to the different action mechanisms of electricity price demand response and incentive demand response, use fuzzy functions and robust interval variables to describe the uncertainty of time-of-use electricity price response load and interruptible load; and based on historical data and other references Literature, etc. or uncertain model parameters, to establish two uncertainty models of demand response.

[0109] Step 2. In both the day-ahead and intra-day stages, the objective function is to minimize the operating cost in the distribution network. In addition, in order to avoid the situation that the electricity price is too high or too low, the objective funct...

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Abstract

The invention relates to a day-ahead intra-day scheduling method considering multi-type demand response uncertainty, and belongs to the technical field of power system optimal scheduling. The uncertainty generated by the demand response due to the randomness of the willing of a participating user can influence economy of power system scheduling. According to different action mechanisms of the electricity price type demand response and the incentive type demand response, uncertainty models are established for the electricity price type demand response and the incentive type demand response respectively: firstly, describing the electricity price type demand response quantity by using fuzzy variables, and creating an uncertainty set of the interruptible load actual interruption quantity by using a robust optimization theory; then, according to the difference between the two demand side management response speed, allocating the two demand side management response speeds and other output resources into a day-ahead day-ahead two-stage decision model; based on the fuzzy chance constraint programming theory and the multi-stage robust optimization theory, using a bat algorithm and an entropy weight method for solving;.

Description

technical field [0001] The invention relates to a day-ahead intraday scheduling method considering the uncertainty of various demand responses, and belongs to the technical field of power system optimization scheduling. Background technique [0002] In 2010, six ministries and commissions, including the National Development and Reform Commission and the Electricity Regulatory Commission, jointly issued the "Measures for the Management of Electric Power Demand Side". Based on the electricity consumption information collected and analyzed by power grid enterprises, the provinces gradually implemented the peak-valley electricity price mechanism. In addition, thanks to the update and development of automatic control technology and real-time information technology, the control device of electrical equipment can realize the autonomous control of load to adjust the consumption of electric energy. The vigorous development of demand-side management in my country's electricity market ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/06
CPCG06Q10/06315G06Q50/06
Inventor 盛四清顾清
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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