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An electric power demand side responding method with multiple time scales

A multi-time scale, power demand-side technology, applied in power network operating system integration, photovoltaic power generation, electrical components, etc., to achieve the effect of timeliness and reliability, reasonable and comprehensive optimization results, and stabilizing photovoltaic power generation output

Inactive Publication Date: 2017-08-04
NANJING NORMAL UNIVERSITY
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Problems solved by technology

The domestic research on distributed power consumption technology is currently mainly focused on large-scale wind power and flexible load coordination control and distribution, and improving the output prediction accuracy of distributed power generation. Considering time-of-use electricity prices and user wishes, using the lowest user cost and There are few studies on the demand side response strategy aimed at power grid peak regulation to realize the consumption of distributed power generation

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  • An electric power demand side responding method with multiple time scales
  • An electric power demand side responding method with multiple time scales
  • An electric power demand side responding method with multiple time scales

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Embodiment Construction

[0047] The technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0048] The power consumption system targeted by the present invention mainly includes the following power consumption equipment: smart home appliances (refrigerators, air conditioners, water heaters, etc.), electric vehicles, distributed photovoltaic power generation equipment, energy storage adjustment devices, and commonly used advanced measurement equipment. like figure 1 As shown, the present invention comprises three main parts:

[0049] Part 1: Parameter Setting for Participation Strategy Optimization

[0050] This part detects and analyzes real-time parameters through Advanced Metering Infrastructure (AMI) and intelligent algorithms (fuzzy C-means clustering algorithm). The overall demand-side response strategy mainly considers the following three parameters during the implementation process: load group Electricity correlation degr...

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Abstract

The invention discloses an electric power demand side responding method with multiple time scales. First of all, through advanced measurement and an intelligent algorithm, parameters are detected and analyzed, wherein the parameters include a load group electricity utilization correlation degree, time-of-use electricity prices and a photovoltaic power generation output; and then based on the detected parameters, at the multiple time scales, for load groups including smart home appliances and electric car loads, prevention control strategies and emergency control strategies are established; real-time demand response measures and current electricity load scheduling measures are respectively established to achieve the local power consumption of photovoltaic power consumption. The electric power demand lateral responding method of the invention realizes peak regulation demands and consumption of a photovoltaic power of a power grid on the basis of a plurality of parameters.

Description

technical field [0001] The invention belongs to the smart grid technology, and in particular relates to a multi-time scale power demand side response method. Background technique [0002] Demand response (DR) is developed from demand side management (DSM) on the basis of electricity marketization. Traditional power demand side response technologies are mainly divided into two categories: price-based mechanism and incentive-based mechanism. Price-based demand response refers to the rational arrangement of user electricity consumption through time-varying electricity prices. At this stage, it is mainly divided into three categories: Time of Use Pricing (TOU), Real Time Pricing (RTP) and peak electricity price ( Critical Peak Pricing, CPP), time-of-use electricity price participates in the month-ahead scheduling where the electricity price is fixed for a period of time; real-time electricity price participates in day-ahead scheduling and intraday scheduling that requires a hig...

Claims

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Application Information

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IPC IPC(8): H02J3/00H02J3/46H02J3/28
CPCH02J3/383H02J3/00H02J3/28H02J3/46H02J3/001H02J2310/64H02J2203/20H02J3/003Y02E70/30Y02B10/10Y02E10/56Y04S20/222Y02B70/3225
Inventor 王琦居佳琪胡敏强
Owner NANJING NORMAL UNIVERSITY
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