Demand response load optimization potential evaluation method based on multi-scene design

A technology for demand response and load optimization, applied in computing, data processing applications, forecasting, etc., can solve the problems of many obstacles in demand response, lack of evaluation methods and conclusions, etc.

Active Publication Date: 2014-01-01
STATE GRID CORP OF CHINA +2
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Problems solved by technology

[0003] Since the introduction of Demand Side Management (DSM) into my country in the 1990s, certain achievements have been made. Due to the electricity price mechanism and other reasons, there are still many obstacles in the implementation of demand response in my country. At present, there are still few demand response projects actually carried out, and the evaluation

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  • Demand response load optimization potential evaluation method based on multi-scene design
  • Demand response load optimization potential evaluation method based on multi-scene design
  • Demand response load optimization potential evaluation method based on multi-scene design

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Embodiment Construction

[0054] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0055] The invention provides a method for assessing the optimization potential of demand response load based on multi-scenario design. The overall framework for potential assessment is as follows figure 1 As shown, the whole evaluation process can be divided into four steps: firstly, fully investigate the electricity consumption characteristics of different types of loads, local electricity price information and the current implementation status of demand response; secondly, analyze the investigation results, on the one hand, based on this Determine the target user group and the type of demand response project, that is, determine the scope of potential assessment. On the other hand, obtain the basic data such as the user price elasticity coefficient and the typical load reduction after implementing demand response; thir...

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Abstract

The invention relates to an evaluation method in the technical field of intelligent electricity utilization, in particular to a demand response load optimization potential evaluation method based on the multi-scene design. The method comprises the following steps: (1) conducting field research so as to obtain evaluation data, (2), determining the evaluation range, (3), designing multiple scenes, and (4) determining the demand response load optimization potential. According to the method, the evaluation result can provide beneficial reference for demand response project planning and promotion and implementation, and the key factor which affects the demand response potential can be directly positioned from the evaluation modeling and the evaluation process. According to the method, electricity-saving potential of the demand response can be further evaluated.

Description

technical field [0001] The present invention relates to an assessment method in the technical field of intelligent power utilization, and in particular to a demand response (Demand Response, DR) load optimization potential assessment method based on multi-scenario design. Background technique [0002] Demand response is an important part of the smart grid. For power system operation, demand response can bring load flexibility, thereby smoothing fluctuations on the power supply side and improving the economy and reliability of power grid operation; for the user side, demand response can bring high reliability, high quality, high Efficient power supply; for the whole society, energy saving and emission reduction can be achieved through demand response, and the sustainable development of the power industry can be realized. Therefore, it is of great significance to grasp the potential of demand response and effectively utilize demand-side resources for the development of smart ...

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06
Inventor 李亚平姚建国杨胜春王珂郭晓蕊刘建涛曾丹
Owner STATE GRID CORP OF CHINA
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