Electric heating internet system scheduling optimization method considering multi-energy demand response
A demand response and optimization method technology, applied in the field of electric heating Internet, can solve problems such as high risk of EST system operation
Pending Publication Date: 2020-04-10
STATE GRID CORP OF CHINA +1
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[0004] Aiming at the deficiencies in the above-mentioned background technology, the present invention proposes an electric heating Internet system scheduling optimization method that considers multi-energy demand response, which solves the technical problems of energy consumption and high risk of EST system operation in the prior art
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[0068] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0069] Such as figure 2 As shown, the embodiment of the present invention provides a scheduling optimization method for electric heating Internet system considering multi-energy demand response, and the specific steps are as follows:
[0070] S1. The electric load demand, the heat load demand, the available output of the power supply and the available output of the heat source are taken as the input of the EST system.
[0071] Such as figure 1 As shown, the...
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The invention provides an electric heating internet system scheduling optimization method considering multi-energy demand response. The method comprises the following steps: firstly, taking an electric load demand, a thermal load demand, available output of a power supply and available output of a heat source as input of an EST system; secondly, constructing an operation optimization model of theEST system, optimizing an operation optimization model of the EST system through economic benefit maximization and output fluctuation minimization to obtain an optimal value of the economic benefit, an optimal value of an output fluctuation value, an economic benefit value and the output fluctuation value of the EST system; and finally, performing weighting processing on the optimal value of the economic benefit, a minimum value of the output fluctuation value, the economic benefit value and the output fluctuation value to obtain an optimal scheduling result of the EST system. According to themethod, the economic benefit is used as a benefit index and a load fluctuation rate is used as a risk index to optimize a scheduling model of the EST system to obtain the EST optimal scheduling result; according to the method, the economic benefit is considered, meanwhile, the operation risk of the EST system is reduced, and the method has important significance.
Description
technical field [0001] The invention relates to the technical field of electric heating Internet, in particular to an electric heating Internet system scheduling optimization method considering multi-energy demand response. Background technique [0002] With the increasingly prominent energy problems, renewable energy represented by photovoltaics and wind power has gradually attracted the attention of the country and the world, and has become an important direction for the future development of energy. The development and utilization of renewable energy will help adjust the energy structure and improve the power supply. system and realize the sustainable development of electric power economy. Due to the limitations of distributed power sources such as wind power and photovoltaic power generation, the electric heating Internet system has developed rapidly as a form of effectively improving energy utilization efficiency. However, in the electric heating Internet system, the el...
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Login to View More IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06
CPCG06Q10/04G06Q10/06312G06Q10/06393G06Q10/0635G06Q50/06
Inventor 李鹏许长清李锰田春筝李秋燕谭忠富鞠立伟郑永乐于昊正李慧璇王利利林宏宇焦扬孙义豪丁岩马杰李科全少理郭新志罗潘韩道强
Owner STATE GRID CORP OF CHINA