Economical low-carbon electric heating optimization regulation and control method for indoor electricity utilization activity

A technology for electric heating and indoor appliances, applied in design optimization/simulation, calculation model, data processing application, etc., can solve problems such as low regulation efficiency, and achieve the effect of ensuring comfort and low-carbon operation

Active Publication Date: 2021-08-10
NORTHEAST DIANLI UNIVERSITY
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Problems solved by technology

[0003] Aiming at the technical problem of low regulation and control efficiency of existing distributed electric heating users, the present invention creatively proposes an economical and low-carbon electric heating optimization regulation method for indoor electricity consumption activities, fully considers the effect of thermal synergy of indoor electricity consumption activities, utilizes The heat storage characteristics of heating equipment can efficiently control the electric heat pump in the electric heating system, and realize the efficient, economical and low-carbon operation of the electric heating system on the premise of ensuring the comfort of users

Method used

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  • Economical low-carbon electric heating optimization regulation and control method for indoor electricity utilization activity
  • Economical low-carbon electric heating optimization regulation and control method for indoor electricity utilization activity

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Embodiment 1

[0278] The load aggregator performs off-line calculation of the optimization model of electric heating operation for each user. Divide the user's indoor and outdoor states into the state space, and obtain the representative system state subspace set Ω Z , where each state space subspace Z h Both are represented by a set of inequality groups composed of a set of HK matrix arrays:

[0279] I h ={H h x≤K h} (40)

[0280] In the formula: I h is the state subspace Z h Corresponding inequality group; H h 、K h Z respectively h Corresponding N H ×N x , N H ×1 matrix; N H is the number of hyperplanes to divide the subspace; N x is the variable dimension in the state space.

[0281] At the same time, the optimal control sequence corresponding to each state subspace is solved:

[0282]

[0283] In the formula: N c To control the time domain step size.

[0284] The load aggregator uploads house i to house state x at time k i,k Substitute in order to represent Z h th...

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Abstract

The invention provides an economical low-carbon electric heating optimization regulation and control method for an indoor electricity utilization activity. An indoor load classification and aggregation prediction method is provided, and heat gain generated by operation of indoor electric appliances is calculated and serves as supplement of a heating heat source; abstraction processing is carried out on a building structure, a heat production pump and a radiator to form a residential heat supply network model; on the basis, an electric heating 'economical-low carbon' operation optimization model is constructed and solved by adopting EMPC, efficient regulation and control of a distributed electric heating cluster are realized, the total electric heating cost containing economic cost and environmental cost is reduced, the goals of economic operation, energy conservation and emission reduction are achieved, and on the premise that the comfort of a user is guaranteed, economical and low-carbon operation of the electric heating system is realized.

Description

technical field [0001] The invention relates to the field of electric heating control, in particular to an economical and low-carbon electric heating optimization control method for indoor electricity consumption activities. Background technique [0002] For a long time, the heating supply in the northern region has lacked an overall planning for the heating supply of coal, natural gas, electricity, renewable energy and other forms of energy. The application range of electric heating technology is not wide, the relevant technical standards and specifications are still not perfect, and the quality and performance of heating supply are not stable enough, resulting in poor user experience. At present, users of distributed electric heating adjust electric heating equipment according to their own subjective feelings, resulting in poor indoor heating effect, low efficiency of electric energy use, and increased economic and environmental costs. There are no literature reports relat...

Claims

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Application Information

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IPC IPC(8): G06F30/27G06K9/62G06N7/00G06Q10/04G06F111/04G06F119/08
CPCG06F30/27G06Q10/04G06F2119/08G06F2111/04G06N7/01G06F18/2321G06F18/241
Inventor 张虹王明晨李佳旺孟庆尧姜德龙
Owner NORTHEAST DIANLI UNIVERSITY
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