Combination method for demand response based time-of-use power price strategy suitable for smart grid development

A time-of-use electricity price and demand response technology, applied in data processing applications, instruments, forecasting, etc., can solve problems such as limited reform of user-side marketization

Inactive Publication Date: 2016-02-10
STATE GRID CORP OF CHINA +2
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Problems solved by technology

However, for a long time, my country's market-oriented reforms have been limited to power generation, where plants and network

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  • Combination method for demand response based time-of-use power price strategy suitable for smart grid development
  • Combination method for demand response based time-of-use power price strategy suitable for smart grid development
  • Combination method for demand response based time-of-use power price strategy suitable for smart grid development

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Embodiment Construction

[0025] In order to clearly understand the technical solution of the present invention, its detailed structure will be presented in the following description. Obviously, the implementation of the embodiments of the invention is not limited to specific details familiar to those skilled in the art. The preferred embodiments of the present invention are described in detail below, and there may be other implementations besides those described in detail.

[0026] The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments.

[0027] The embodiment of the present invention focuses on the research on the combination method of the time-of-use electricity price strategy adapted to the demand side response of the development of the smart grid. Include the following steps:

[0028] S1, measure the electricity price affordability of the enterprise under the change of multiple factors;

[0029] S2, according to the system l...

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Abstract

The present invention discloses a combination method for a demand response based time-of-use power price strategy suitable for smart grid development. The combination method comprises the following steps: estimating electricity price affordability of enterprises with changes in multiple factors; according to a system load situation in conjunction with user demand-side analysis with seasonal attributes, carrying out period optimization that takes the seasonal attributes into account; and based on analysis of demand price elasticity in industries, differentiating application of the time-of-use power price in different situations, thereby forming a demand response based time-of-use power price strategy. According to the combination method for the time-of-use power price strategy, for different seasons, valley and peak power prices suitable for the seasons are set according to differences in demand price elasticity, so as to finally form a time-of-use power price strategy that combines peak and valley power prices, time-of-use power prices, and season-differentiated power prices.

Description

technical field [0001] The invention belongs to the field of power demand side management, and in particular relates to a combination method of demand response time-of-use electricity price strategy for smart grid development. Background technique [0002] In order to cope with the challenges brought by the increasingly serious environmental problems and energy security issues in my country, the State Grid Corporation of China strives to realize the upgrading and leapfrogging of the power grid from the traditional power grid to an efficient, economical, clean and interactive modern power grid, and actively promotes the development of clean energy. The development goals and planning of "Strong Smart Grid". [0003] At present, the proportion of renewable energy in my country's power structure is gradually increasing, so the effective consumption and utilization of new energy is a problem that needs attention. In addition, in recent years, the national economy is developing ...

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06
Inventor 徐昊亮胡殿刚靳攀润范雪峰陈兆雁田云飞余泳张海生杨晶
Owner STATE GRID CORP OF CHINA
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