Multi-energy complementary optimal scheduling method based on demand response

A technology for optimal scheduling and demand response, applied in resources, data processing applications, AC networks with energy trade/energy transmission authority, etc. The effect of storage capacity, reducing wind abandonment and increasing economic benefits

Active Publication Date: 2019-10-18
佳源科技股份有限公司
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Problems solved by technology

[0003] Aiming at the deficiencies of the existing technology, the purpose of the present invention is to provide a multi-energy complementary optimal scheduling method based on demand respons

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  • Multi-energy complementary optimal scheduling method based on demand response
  • Multi-energy complementary optimal scheduling method based on demand response
  • Multi-energy complementary optimal scheduling method based on demand response

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Embodiment Construction

[0043] The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.

[0044] In order to stabilize the volatility and security impact brought by the integration of a large number of distributed energy into the distribution network, the output characteristics of various energy sources are studied, and the maximum consumption of renewable energy is pursued under the premise of meeting the local load demand, so as to reduce waste. Wind and light costs and benefits; at the same time, taking into account the randomness and fixedness of energy consumption on the user side, based on the price-based demand response theory, make full use of the electricity price strategy to guide the energy consumption on the user side, so as to achieve peak shaving and valley filling and e...

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Abstract

The invention discloses a multi-energy complementary optimal scheduling method based on demand response, and belongs to the technical field of power system automation. The method comprises the steps:establishing a multi-energy complementary optimal scheduling model based on a demand response scheduling model and setting constraint conditions; performing simulation and solution of the multi-energycomplementary optimal dispatching model by using the particle swarm optimization algorithm; and scheduling the adjustable load in the micro-grid according to the result of the simulation and solution. The aim of peak-cutting and valley-filling and the optimal economic benefit of both sides can be realized and the economic benefit can also be increased.

Description

technical field [0001] The invention belongs to the technical field of electric power system automation, and in particular relates to a demand response-based multi-energy complementary optimization scheduling method. Background technique [0002] With global warming and the extreme consumption of fossil fuels, new clean energy sources are attracting more and more worldwide attention. In order to meet the energy strategy requirements of the country's "13th Five-Year Plan", the penetration rate of intermittent clean energy grid connection will increase day by day. By studying the power generation characteristics of "wind, solar, and storage", rationally constructing an energy structure is the primary choice for a large number of intermittent energy grids in the future. However, the impact of a large number of intermittent energy grid-connected on the distribution network is becoming more and more severe, and the forecasting technology of wind power and robust optimization the...

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Application Information

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IPC IPC(8): H02J3/00H02J3/48G06Q10/06G06Q50/06
CPCH02J3/008H02J3/48G06Q10/06312G06Q50/06H02J2310/64Y04S10/50Y02E40/70
Inventor 孙侃张长祥余洋丁旸
Owner 佳源科技股份有限公司
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