Distributed energy supply cooling, heating and power load prediction model system and method
A technology of load forecasting and model system, applied in forecasting, biological neural network model, energy-saving calculation, etc., can solve the problem of not considering and optimizing the operation strategy of energy storage tank, unable to improve energy utilization rate, etc., to achieve optimal operation strategy, accurate predicted effect
Pending Publication Date: 2020-05-12
茂盟(上海)工程技术股份有限公司
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Problems solved by technology
The technology involved in this paper mainly has the following defects and deficiencies: (1) Use software to simulate the hourly load of the energy supply area, without considering the impact of sudden factors such as weather, legal holidays and other large-scale activities; (2) Use the actual daily load The ratio of the load to the maximum load is used to select a specific operation plan, and the formulation of the plan is relatively general, which cannot improve the energy utilization rate and optimize the operation strategy of the energy storage tank to a greater extent.
The technology involved in this article mainly has the following defects and deficiencies: (1) The minimum load forecasting time unit is the day, and the strategy cannot be adjusted according to the field data of the day. Load forecasting 15-30 minutes after the data is collected to guide the energy center to re-formulate the operation strategy; (2) Failure to collect data to actively predict weather conditions, flight conditions, passenger flow and other factors in the cooling season
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[0034] The specific implementation manners of the present invention will be further described below in conjunction with the drawings and examples. The following examples are only used to more clearly illustrate the technical scheme of the present invention, and cannot limit the protection scope of the present invention with this.
[0035] like figure 1 As shown, the present invention is a distributed energy supply cooling, heating and power load forecasting model system, including:
[0036] The energy center is used to provide cooling, heating and electrical loads; the physical layer module is equipped with multiple sensor devices and arranged at various points in the energy supply area of the energy center to provide real-time on-site data; the data layer module is used to store energy Historical data and on-site data detected at various points in the central energy supply area, and external source data such as weather forecasts, legal holidays, and related customs and hab...
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The invention discloses a distributed energy supply cooling, heating and power load prediction model system and method, and the system comprises: a physical layer module which is provided with a plurality of sensing devices, is disposed at each point of an energy supply region of an energy center, and is used for providing real-time onsite data; a data layer module which is used for storing data detected at each point location of the energy supply area of the energy center; a calculation layer module whcih is used for processing the data from the data layer module; and an application layer module whichis used for instructing the energy supply area of the energy center to select the energy storage capacity of the energy storage equipment according to the cold-heat-electricity prediction result. By adopting the technical scheme, the energy center can select the energy storage capacity of the energy storage equipment according to the cold-heat-electricity prediction result, so that accurate prediction of the cold-heat-electricity load is realized, and the operation strategy of the energy storage device of the energy center and the distribution scheme of the cold-heat-electricity loadare optimized.
Description
technical field [0001] The invention relates to a cooling, heating, and electricity load forecasting model in the field of energy management, in particular to a distributed energy supply cooling, heating, and electricity load forecasting model system and method. Background technique [0002] In the regional cooling, heating and power supply, the superiority of the energy center lies in the centralized setting of cooling and heating source equipment, which can reduce the urban heat island effect in the region, and has high energy utilization and reliability. [0003] In addition, distributed energy supply has the following advantages compared with traditional energy supply methods: energy saving and emission reduction; generally starting and stopping with users commuting to and from get off work, it has a peak-shaving effect on the power grid and can reduce the peak-valley difference of the power grid; it saves urban land resources; reliability of power supply; in summer, it ...
Claims
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IPC IPC(8): G06Q10/04G06Q50/06G06F16/9537G06F16/2458G06N3/04G16Y10/35G16Y40/10G16Y40/20
CPCG06Q10/04G06Q50/06G06F16/9537G06F16/2474G06N3/044G06N3/045Y02D10/00
Inventor陶清宝刘永红鲍劲松王波波
Owner茂盟(上海)工程技术股份有限公司