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Virtual power plant optimization scheduling method and system based on building thermal inertia

A technology for virtual power plant and optimal scheduling, applied in the field of optimal scheduling method and system of virtual power plant, can solve the problems of flexible regulation and control of equipment resources, etc., and achieve the effect of safe and efficient operation

Pending Publication Date: 2022-01-04
浙江英集动力科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] A virtual power plant is a kind of coordinated management of distributed energy sources such as distributed power sources, energy storage systems, electric vehicles, etc. through advanced information and communication technology and software systems, so as to participate in the power market and power grid operation as a special power plant system, but the virtual power plant needs to provide multiple scale services such as frequency regulation and peak regulation for the power grid, so there are related technical difficulties in the flexible control of equipment resources in the virtual power plant

Method used

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  • Virtual power plant optimization scheduling method and system based on building thermal inertia
  • Virtual power plant optimization scheduling method and system based on building thermal inertia
  • Virtual power plant optimization scheduling method and system based on building thermal inertia

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Embodiment 1

[0102] figure 1 It is a flow chart of the virtual power plant optimization scheduling method based on building thermal inertia involved in the present invention;

[0103] figure 2 is a schematic diagram of the virtual power plant involved in the present invention.

[0104] Such as figure 1 and figure 2 As shown, this embodiment 1 provides an optimal scheduling method for virtual power plants based on thermal inertia of buildings, which includes: sequentially installing electric heating devices for heating the circulating water supply of the secondary network in each thermal station, using hot water and Combined heating with electric complementarity; build heat storage characteristic models of each building based on the structure of the heat user's indoor heating radiator and the room temperature environment, and then obtain the heat storage time and heat release time according to the heat transfer parameters of the electric heating device and the heat transfer parameters ...

Embodiment 2

[0153] On the basis of Embodiment 1, this Embodiment 2 also provides a thermoelectric complementary optimal dispatching model of the virtual power plant optimal dispatching method based on building thermal inertia in Embodiment 1, which is characterized in that it includes:

[0154]

[0155]

[0156] Among them, F is the net income in a running period; k is the time series; I se for revenue, which includes: heat supply revenue for heat supply to heat users and supply revenues from supplying power to the virtual power plant grid α(k) The price of electricity sold by the virtual power plant to the grid in the k-th period; β is the price of heat sold by the virtual power plant to the central heating system; C cs is the coal consumption generated during the operation of the central heating system; C pe Punishment cost for the virtual power plant to deviate from the output plan; C db Environmental costs for running virtual power plants;

[0157] The electrical balance c...

Embodiment 3

[0165] Figure 4 It is a functional block diagram of the optimal scheduling system involved in the present invention.

[0166] Such as Figure 4 As shown, on the basis of Embodiment 1, this Embodiment 3 also provides an optimal dispatching system that adopts the optimal dispatching method of a virtual power plant based on building thermal inertia in Embodiment 1, which is characterized in that it includes: a device setting module, Electric heating devices for heating the circulating water supply of the secondary network are installed in each thermal station, and hot water and electricity are used for combined heating; the building characteristic module constructs each building according to the heat user's indoor heating radiator structure and room temperature environment The heat storage characteristic model of the material, according to the heat transfer of the electric heating device and the heat transfer parameters of the secondary network, obtains the heat storage time an...

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Abstract

The invention discloses a virtual power plant optimization scheduling method and system based on building thermal inertia. The method comprises the following steps: sequentially arranging electric heating devices used for heating secondary network circulating water supply in a plurality of heating stations, and adopting hot water and electricity for complementary combined heating; constructing heat storage characteristic models of all buildings according to heat consumer indoor heating radiator structures and room temperature environments, calculating heat storage and heat release time in combination with heat exchange and secondary network heat transmission parameters the electric heating devices, and establishing building indoor temperature dynamic response characteristics in combination with load parameters of the electric heating devices; aggregating the electric heating devices in the plurality of heating stations into a virtual power plant, and establishing a thermoelectric complementary optimization scheduling model through a coordination control center according to heating total load requirements, schedulable heat storage and release loads, load requirements of peak regulation and frequency modulation and other thermoelectric data; and performing electric power regulation and control on the virtual power plant and regulation and control on hydraulic balance loads of a central heating system through the thermoelectric complementary optimization scheduling model.

Description

technical field [0001] The invention belongs to the technical field of intelligent heat supply peak regulation, and in particular relates to a virtual power plant optimization scheduling method and system based on building thermal inertia. Background technique [0002] The heating system is an important infrastructure in northern cities and an important subsystem of the urban energy system. At present, the heat sources of my country's urban central heating system are mainly thermal power plants, gas-fired peak boilers, etc., and SO2, NOX, smoke and other air pollutants will be produced during the production process. In recent years, the severe winter smog problem in northern my country has attracted public attention, and the correlation between heating and smog has been controversial. In order to improve the cleanliness of heating production, qualified cities in northern my country are actively exploring clean heating methods such as electric heating devices. [0003] In r...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/27G06Q10/04G06Q10/06G06Q50/06G06N3/04G06N3/08G06N3/12G06F111/04G06F111/08G06F119/06G06F119/08
CPCG06F30/27G06Q10/04G06Q10/06315G06Q50/06G06N3/04G06N3/08G06N3/126G06F2111/04G06F2111/08G06F2119/06G06F2119/08Y02E40/70Y04S10/50
Inventor 时伟穆佩红谢金芳
Owner 浙江英集动力科技有限公司
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