CN116720717B - Building energy management and adjustment system and method - Google Patents

Building energy management and adjustment system and method Download PDF

Info

Publication number
CN116720717B
CN116720717B CN202310996061.7A CN202310996061A CN116720717B CN 116720717 B CN116720717 B CN 116720717B CN 202310996061 A CN202310996061 A CN 202310996061A CN 116720717 B CN116720717 B CN 116720717B
Authority
CN
China
Prior art keywords
power
output
building
model
power supply
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202310996061.7A
Other languages
Chinese (zh)
Other versions
CN116720717A (en
Inventor
郭秀峰
孙方英
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shandong Lichong Energy Co ltd
Original Assignee
Shandong Lichong Energy Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shandong Lichong Energy Co ltd filed Critical Shandong Lichong Energy Co ltd
Priority to CN202310996061.7A priority Critical patent/CN116720717B/en
Publication of CN116720717A publication Critical patent/CN116720717A/en
Application granted granted Critical
Publication of CN116720717B publication Critical patent/CN116720717B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06312Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/02Reservations, e.g. for tickets, services or events
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/067Enterprise or organisation modelling
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06Energy or water supply
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/08Construction

Landscapes

  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Engineering & Computer Science (AREA)
  • Economics (AREA)
  • Strategic Management (AREA)
  • Tourism & Hospitality (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Entrepreneurship & Innovation (AREA)
  • General Business, Economics & Management (AREA)
  • Marketing (AREA)
  • Physics & Mathematics (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Development Economics (AREA)
  • Health & Medical Sciences (AREA)
  • Game Theory and Decision Science (AREA)
  • Educational Administration (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Public Health (AREA)
  • Water Supply & Treatment (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The application relates to the field of energy scheduling management, and discloses a building energy management and regulation system and method, wherein the system comprises a power record screening module, a power data analysis module, a to-be-scheduled matching module and a demand scheduling generation module; the model curve of the power demand of the power consumption object class in the building in the period is obtained, so that management and distribution are carried out on all power inputs which can be divided by the building in the time period according to the importance degree of the power consumption object in life and safety, the basic power supply demand is met, and the problem that the normal operation and life are influenced because part of important power consumption objects and electric equipment cannot obtain enough power energy due to the power distribution problem in the power use peak period is avoided.

Description

Building energy management and adjustment system and method
Technical Field
The application relates to the field of energy scheduling management, in particular to a building energy management and adjustment system and method.
Background
Urban construction, intelligent community household development and the like enable energy consumption equipment in buildings and building groups to be gradually increased, and requirements for power supply are also gradually increased, so that power supply in partial power supply edge areas is weak in a special time period, and consumption of a large number of electric equipment cannot be effectively met.
In the prior art, the problems can be solved by replacing low-energy consumption electric equipment, staggering peak electricity consumption encouragement for charging in a time-sharing manner and the like, but the problems can not be solved fundamentally due to the fact that the problems are more dependent on independent selection of users.
Disclosure of Invention
The application aims to provide a building energy management and adjustment system and a method for solving the problems in the background technology.
In order to achieve the above purpose, the present application provides the following technical solutions:
a building energy management regulation system comprising:
the power record screening module is used for acquiring power record data of a building group to be managed, screening and classifying the power record data based on an output object, wherein the output object comprises a fixed consumption type and a variable consumption type, and the power record data represents power consumption information of the output object in the management building group on a time axis;
the power data analysis module is used for periodically analyzing the screened and classified power record data to acquire a power demand model of a corresponding output object in a power cycle, wherein the power demand model represents average historical power consumption of the output object in any time period in the power cycle;
the to-be-scheduled matching module is used for periodically analyzing the urban historical power supply record to generate a power supply model, wherein the power supply model represents urban power supply capacity for the power input acquisition quantity of the building group to be managed at each time point in one power cycle;
the demand scheduling generation module is used for subtracting the power supply model based on the power demand model of the plurality of output objects with fixed consumption types, obtaining a dynamic supply model, realizing the distribution of the dynamic supply model based on the priority of the plurality of output objects with variable consumption types in a time period, correspondingly generating a period management regulation method and outputting the period management regulation method.
As a further aspect of the application: the fixed consumption types include building safety equipment, building monitoring settings, building lighting facilities, building network facilities, and building electrical facilities;
the variable consumption type comprises a user basic power facility, a user additional power facility and a garage power supply facility, wherein the user additional power facility represents high-power household power equipment such as an air conditioner, the output objects of different consumption types realize centralized connection management through independent power output buses, and a plurality of output object types of the same consumption type comprise a plurality of parallel circuit output buses.
As still further aspects of the application: the power supply priority of the plurality of output objects is preferably distributed to the output objects with high priority while the lowest supply threshold of the output objects with lower priority is met when the dynamic supply model characterizes that the unit time power supply quantity is limited and the unit time consumption sum of the plurality of output objects in the variable consumption type cannot be met simultaneously.
As still further aspects of the application: still include garage management module, specifically include:
the price matching unit is used for superposing power demand models on a plurality of output objects except for garage power supply equipment in the variable consumption type, acquiring a price judging model, and establishing garage power unit price based on the price judging model, wherein the curve of the garage power unit price on a time axis is inversely proportional to the power demand represented by the price judging model on the time axis;
and the time period reservation unit is used for acquiring the garage charging requirement from the user, wherein the garage charging requirement comprises a reserved time period and is used for controlling the power supply to the user in the reserved time period.
As still further aspects of the application: the power demand model and the power supply model are long-period variable models, and regularly change in a specific long period, wherein the long period comprises a plurality of power periods.
The embodiment of the application aims to provide a building energy management and adjustment method, which comprises the following steps:
acquiring power record data of a building group to be managed, and screening and classifying the power record data based on an output object, wherein the output object comprises a fixed consumption type and a variable consumption type, and the power record data represents power consumption information of the output object in the management building group on a time axis;
periodically analyzing the screened and classified power record data to obtain a power demand model of a corresponding output object in a power cycle, wherein the power demand model represents average historical power consumption of the output object in any time period in the power cycle;
periodically analyzing the urban historical power supply record to generate a power supply model, wherein the power supply model represents urban power supply capacity for the power input acquisition quantity of the building group to be managed at each time point in one power cycle;
subtracting the power supply models based on the power demand models of the plurality of output objects with fixed consumption types to obtain dynamic supply models, realizing the distribution of the dynamic supply models based on the priorities of the plurality of output objects with variable consumption types in a time period, correspondingly generating a period management regulation method and outputting the period management regulation method.
As a further aspect of the application: the fixed consumption types include building safety equipment, building monitoring settings, building lighting facilities, building network facilities, and building electrical facilities;
the variable consumption type comprises a user basic power facility, a user additional power facility and a garage power supply facility, wherein the user additional power facility represents high-power household power equipment such as an air conditioner, the output objects of different consumption types realize centralized connection management through independent power output buses, and a plurality of output object types of the same consumption type comprise a plurality of parallel circuit output buses.
As still further aspects of the application: the power supply priority of the plurality of output objects is preferably distributed to the output objects with high priority while the lowest supply threshold of the output objects with lower priority is met when the dynamic supply model characterizes that the unit time power supply quantity is limited and the unit time consumption sum of the plurality of output objects in the variable consumption type cannot be met simultaneously.
As still further aspects of the application: the method also comprises the steps of:
superposing power demand models on a plurality of output objects except garage power supply equipment in the variable consumption type, acquiring a price judging model, and establishing garage power unit price based on the price judging model, wherein the curve of the garage power unit price on a time axis is inversely proportional to the power demand represented by the price judging model on the time axis;
the method comprises the steps of obtaining a garage charging requirement from a user, wherein the garage charging requirement comprises a reserved time period and is used for controlling power supply to the user in the reserved time period.
As still further aspects of the application: the power demand model and the power supply model are long-period variable models, and regularly change in a specific long period, wherein the long period comprises a plurality of power periods.
Compared with the prior art, the application has the beneficial effects that: the model curve of the power demand of the power consumption object class in the building in the period is obtained, so that management and distribution are carried out on all power inputs which can be divided by the building in the time period according to the importance degree of the power consumption object in life and safety, the basic power supply demand is met, and the problem that the normal operation and life are influenced because part of important power consumption objects and electric equipment cannot obtain enough power energy due to the power distribution problem in the power use peak period is avoided.
Drawings
Fig. 1 is a block diagram of a building energy management and conditioning system.
Fig. 2 is a block diagram of a garage management module in a building energy management and conditioning system.
Fig. 3 is a flow chart diagram of a building energy management and regulation method.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
Specific implementations of the application are described in detail below in connection with specific embodiments.
As shown in fig. 1, a building energy management and adjustment system according to an embodiment of the present application includes the following steps:
the power record screening module 100 is configured to obtain power record data of a building group to be managed, and screen and classify the power record data based on an output object, where the output object includes a fixed consumption type and a variable consumption type, and the power record data represents power consumption information of the output object in the management building group on a time axis.
The power data analysis module 300 is configured to perform periodic analysis on the screened and classified power record data, and obtain a power demand model of a corresponding output object in a power cycle, where the power demand model characterizes average historical power consumption of the output object in any time period in the power cycle.
The to-be-scheduled matching module 500 is configured to periodically analyze the city historical power supply record, and generate a power supply model, where the power supply model characterizes city power supply capacity for power input acquisition amounts of building groups to be managed at various time points in one power cycle.
The demand schedule generating module 700 is configured to subtract the power supply models based on the power demand models of the plurality of output objects with fixed consumption types, obtain a dynamic supply model, implement allocation of the dynamic supply model based on priorities of the plurality of output objects with variable consumption types in a time period, correspondingly generate a period management regulation method, and output the period management regulation method.
In the embodiment, a building energy management and adjustment system is provided, and the model curves of the power demand of the power consumption objects in the building in the period are obtained, so that management and distribution are carried out on all power inputs which can be divided by the building in the time period according to the importance degree of the power consumption objects in life and safety, the basic power supply demand is met, and the problem that in the power use peak period, the normal operation and life are influenced because part of important power consumption objects and electric equipment cannot obtain enough power energy due to the power distribution problem is avoided; specifically, the embodiment is used for energy scheduling management of an intelligent building, by analyzing different types of power consumption in different time periods, such as electric car charging, commercial power, basic power consumption and the like, judging and distributing according to the urgency of power consumption needs of objects in different time, in the judging process of distribution, generating a corresponding power consumption curve in a power consumption period by acquiring a historical power consumption record of a certain object type, wherein the power consumption period can be simply set to be one day, that is, in a power consumption circulation state in each day, for example, the basic power consumption (such as illumination, television and computer entering household power, special high-consumption equipment such as an air conditioner and the like and capable of additionally controlling input) of a user of a certain building and the electric car charging power consumption of a garage are not included, and in order to ensure the overlapping of the two peak periods, the power consumption period exceeding the total power input can be staggered by limiting the power supply output period of the garage, and the unnecessary high power consumption in the period is led to other low peak periods for carrying out.
As another preferred embodiment of the present application, the fixed consumption types include building safety equipment, building monitoring settings, building lighting facilities, building network facilities, and building electrical facilities.
The variable consumption type comprises a user basic power facility, a user additional power facility and a garage power supply facility, wherein the user additional power facility represents high-power household power equipment such as an air conditioner, the output objects of different consumption types realize centralized connection management through independent power output buses, and a plurality of output object types of the same consumption type comprise a plurality of parallel circuit output buses.
Further, the multiple output objects of the variable consumption type are respectively provided with a priority and a lowest supply threshold, and when the dynamic supply model characterizes that the unit time power supply quantity is limited and cannot meet the unit time consumption sum of the multiple output objects of the variable consumption type, the power supply priorities of the multiple output objects are met, and meanwhile, the lowest supply threshold of the output object with lower priority is met, the unit time power supply quantity is preferentially distributed to the output object with high priority.
In this embodiment, the fixed consumption type and the variable consumption type are further exemplified and described, and it is specifically described that, when the scheduling control is performed, each type of output object has the lowest supply threshold, that is, the scheduling of the energy power is a part of the transfer, and in order to ensure the normal operation of the location and part of the functions, it is necessary to ensure that a certain power energy is input.
As another preferred embodiment of the present application, the garage management module 900 specifically includes:
the price matching unit 901 is configured to superimpose a power demand model on a plurality of output objects except for a garage power supply device in a variable consumption type, obtain a price judging model, and establish a garage power unit price based on the price judging model, where a curve of the garage power unit price on a time axis is inversely proportional to a power demand represented by the price judging model on the time axis.
The period reservation unit 902 is configured to obtain a garage charging requirement from a user, where the garage charging requirement includes a reserved period of time, and is configured to control power supply to the user during the reserved period of time.
In this embodiment, the garage management module 900 is supplemented, and the function implemented by the garage management module is to manage the vehicle charging of the user in the garage, if the user charges in the electricity consumption peak period of other objects (in hours after the next shift, the electricity consumption peak of the residential area), more expensive cost is required to be paid, meanwhile, the user can supply electricity with a preset value when reaching the preset time, that is, the problem of electricity consumption peak aggregation caused by starting charging when plugging in the prior art can be effectively solved, and the problem that the user needs to select time to charge the garage back and forth can also be solved.
As another preferred embodiment of the present application, the power demand model and the power supply model are both long-period variable models, which regularly change in a specific long period, the long period including a plurality of the power periods.
In this embodiment, the power cycle changes with the change of the external environment such as seasons, and the power consumption of different objects in different periods of the power cycle changes, so that fitting is required by one long cycle.
As shown in fig. 3, the present application further provides a building energy management and adjustment method, which includes:
s200, acquiring power record data of a building group to be managed, screening and classifying the power record data based on an output object, wherein the output object comprises a fixed consumption type and a variable consumption type, and the power record data represents power consumption information of the output object in the management building group on a time axis.
And S400, periodically analyzing the screened and classified power record data to acquire a power demand model of a corresponding output object in a power cycle, wherein the power demand model represents the average historical power consumption of the output object in any time period in the power cycle.
And S600, periodically analyzing the urban historical power supply record to generate a power supply model, wherein the power supply model characterizes urban power supply capacity for the power input acquisition quantity of the building group to be managed at each time point in one power cycle.
S800, subtracting the power supply models based on the power demand models of the plurality of output objects with fixed consumption types to obtain dynamic supply models, realizing distribution of the dynamic supply models based on priorities of the plurality of output objects with variable consumption types in a time period, correspondingly generating a period management regulation method and outputting the period management regulation method.
As another preferred embodiment of the present application, the fixed consumption types include building safety equipment, building monitoring settings, building lighting facilities, building network facilities, and building electrical facilities.
The variable consumption type comprises a user basic power facility, a user additional power facility and a garage power supply facility, wherein the user additional power facility represents high-power household power equipment such as an air conditioner, the output objects of different consumption types realize centralized connection management through independent power output buses, and a plurality of output object types of the same consumption type comprise a plurality of parallel circuit output buses.
As another preferred embodiment of the present application, the plurality of output objects of the variable consumption type are each provided with a priority and a lowest supply threshold, and the priority characterizes that when the dynamic supply model characterizes that the unit time supply amount is limited and cannot simultaneously satisfy the unit time consumption sum of the plurality of output objects of the variable consumption type, the power supply priorities of the plurality of output objects are assigned to the output objects with high priority while satisfying the lowest supply threshold of the output object with low priority.
As another preferred embodiment of the present application, further comprising the steps of:
and superposing power demand models on a plurality of output objects except for garage power supply equipment in the variable consumption type, acquiring a price judging model, and establishing garage power unit price based on the price judging model, wherein the curve of the garage power unit price on a time axis is inversely proportional to the power demand represented by the price judging model on the time axis.
The method comprises the steps of obtaining a garage charging requirement from a user, wherein the garage charging requirement comprises a reserved time period and is used for controlling power supply to the user in the reserved time period.
As another preferred embodiment of the present application, the power demand model and the power supply model are both long-period variable models, which regularly change in a specific long period, the long period including a plurality of the power periods.
Those skilled in the art will appreciate that all or part of the processes in the methods of the above embodiments may be implemented by a computer program for instructing relevant hardware, where the program may be stored in a non-volatile computer readable storage medium, and where the program, when executed, may include processes in the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
Other embodiments of the present disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure. This application is intended to cover any adaptations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It is to be understood that the present disclosure is not limited to the precise arrangements and instrumentalities shown in the drawings, and that various modifications and variations may be effected without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims (6)

1. A building energy management and conditioning system, comprising:
the power record screening module is used for acquiring power record data of a building group to be managed, screening and classifying the power record data based on an output object, wherein the output object comprises a fixed consumption type and a variable consumption type, the power record data represents power consumption information of the output object in the management building group on a time axis, and the output object is electric equipment;
the power data analysis module is used for periodically analyzing the screened and classified power record data to acquire a power demand model of a corresponding output object in a power cycle, wherein the power demand model represents average historical power consumption of the output object in any time period in the power cycle;
the to-be-scheduled matching module is used for periodically analyzing the urban historical power supply record to generate a power supply model, wherein the power supply model represents urban power supply capacity for the power input acquisition quantity of the building group to be managed at each time point in one power cycle;
the demand scheduling generation module is used for subtracting the power supply model based on the power demand model of the plurality of output objects with fixed consumption types, obtaining a dynamic supply model, realizing the distribution of the dynamic supply model based on the priority of the plurality of output objects with variable consumption types in a time period, correspondingly generating a period management regulation method and outputting the period management regulation method;
wherein the fixed consumption type includes a building safety device, a building monitoring setting, a building lighting facility, a building network facility, and a building electrical facility;
the variable consumption type comprises a user basic power facility, a user additional power facility and a garage power supply facility, the user additional power facility represents high-power household power equipment, output objects of different consumption types are subjected to centralized connection management through independent power output buses, a plurality of output object types of the same consumption type comprise a plurality of parallel circuit output buses, the plurality of output objects of the variable consumption type are respectively provided with a priority and a lowest supply threshold, the priority represents the power supply priority of the plurality of output objects when a dynamic supply model represents that the unit-time power supply quantity is limited and cannot simultaneously meet the unit-time consumption sum of the plurality of output objects of the variable consumption type, and the power supply priority of the plurality of output objects is distributed to the output object with high priority while meeting the lowest supply threshold of the output object with lower priority.
2. The building energy management and conditioning system of claim 1, further comprising a garage management module, comprising:
the price matching unit is used for superposing power demand models on a plurality of output objects except for garage power supply equipment in the variable consumption type, acquiring a price judging model, and establishing garage power unit price based on the price judging model, wherein the curve of the garage power unit price on a time axis is inversely proportional to the power demand represented by the price judging model on the time axis;
and the time period reservation unit is used for acquiring the garage charging requirement from the user, wherein the garage charging requirement comprises a reserved time period and is used for controlling the power supply to the user in the reserved time period.
3. The building energy management and conditioning system according to claim 1, wherein the power demand model and the power supply model are each a long-period variable model, the long period comprising a plurality of the power periods.
4. A method of building energy management and conditioning comprising:
acquiring power record data of a building group to be managed, screening and classifying the power record data based on an output object, wherein the output object comprises a fixed consumption type and a variable consumption type, the power record data represents power consumption information of the output object in the management building group on a time axis, and the output object is electric equipment;
periodically analyzing the screened and classified power record data to obtain a power demand model of a corresponding output object in a power cycle, wherein the power demand model represents average historical power consumption of the output object in any time period in the power cycle;
periodically analyzing the urban historical power supply record to generate a power supply model, wherein the power supply model represents urban power supply capacity for the power input acquisition quantity of the building group to be managed at each time point in one power cycle;
subtracting the power supply models based on the power demand models of the plurality of output objects with fixed consumption types to obtain dynamic supply models, realizing the distribution of the dynamic supply models based on the priorities of the plurality of output objects with variable consumption types in a time period, correspondingly generating a period management regulation method and outputting the period management regulation method;
wherein the fixed consumption type includes a building safety device, a building monitoring setting, a building lighting facility, a building network facility, and a building electrical facility;
the variable consumption type comprises a user basic power facility, a user additional power facility and a garage power supply facility, the user additional power facility represents high-power household power equipment, output objects of different consumption types are subjected to centralized connection management through independent power output buses, a plurality of output object types of the same consumption type comprise a plurality of parallel circuit output buses, the plurality of output objects of the variable consumption type are respectively provided with a priority and a lowest supply threshold, the priority represents the power supply priority of the plurality of output objects when a dynamic supply model represents that the unit-time power supply quantity is limited and cannot simultaneously meet the unit-time consumption sum of the plurality of output objects of the variable consumption type, and the power supply priority of the plurality of output objects is distributed to the output object with high priority while meeting the lowest supply threshold of the output object with lower priority.
5. The method of building energy management and conditioning according to claim 4, further comprising the steps of:
superposing power demand models on a plurality of output objects except garage power supply equipment in the variable consumption type, acquiring a price judging model, and establishing garage power unit price based on the price judging model, wherein the curve of the garage power unit price on a time axis is inversely proportional to the power demand represented by the price judging model on the time axis;
the method comprises the steps of obtaining a garage charging requirement from a user, wherein the garage charging requirement comprises a reserved time period and is used for controlling power supply to the user in the reserved time period.
6. The method of claim 4, wherein the power demand model and the power supply model are each a long-period variable model, and the long period comprises a plurality of the power periods.
CN202310996061.7A 2023-08-09 2023-08-09 Building energy management and adjustment system and method Active CN116720717B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202310996061.7A CN116720717B (en) 2023-08-09 2023-08-09 Building energy management and adjustment system and method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310996061.7A CN116720717B (en) 2023-08-09 2023-08-09 Building energy management and adjustment system and method

Publications (2)

Publication Number Publication Date
CN116720717A CN116720717A (en) 2023-09-08
CN116720717B true CN116720717B (en) 2023-11-03

Family

ID=87864697

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202310996061.7A Active CN116720717B (en) 2023-08-09 2023-08-09 Building energy management and adjustment system and method

Country Status (1)

Country Link
CN (1) CN116720717B (en)

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107341562A (en) * 2017-05-25 2017-11-10 杭州赫智电子科技有限公司 A kind of building energy management system and energy management method for merging demand response
CN107707603A (en) * 2017-06-29 2018-02-16 青岛恒金源电子科技有限公司 A kind of intelligent home network electric energy management method
CN110661253A (en) * 2019-09-24 2020-01-07 国网(苏州)城市能源研究院有限责任公司 Multi-type electric power elastic load combined adjusting method in building group
CN111600304A (en) * 2020-06-17 2020-08-28 广东工业大学 Building power scheduling method, device and equipment
CN112884013A (en) * 2021-01-26 2021-06-01 山东历控能源有限公司 Energy consumption partitioning method based on data mining technology
CN113205263A (en) * 2021-05-10 2021-08-03 苏州楚焱新能源有限公司 Accurate power demand side management method and system based on energy internet
CN114019847A (en) * 2021-10-12 2022-02-08 中建三局智能技术有限公司 Building group energy consumption abnormity management method and device
CN114372360A (en) * 2021-12-31 2022-04-19 国网河北省电力有限公司营销服务中心 Method, terminal and storage medium for power load prediction
CN116245254A (en) * 2023-03-30 2023-06-09 南通市市政工程设计院有限责任公司 Building new energy consumption capability assessment method based on energy coordination optimization
CN116316899A (en) * 2023-04-14 2023-06-23 熊丽 Intelligent power dispatching control method

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102663564A (en) * 2012-04-23 2012-09-12 中国电力技术装备有限公司北京分公司 Integrated battery dispatching system with centralized charging and centralized allocation

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107341562A (en) * 2017-05-25 2017-11-10 杭州赫智电子科技有限公司 A kind of building energy management system and energy management method for merging demand response
CN107707603A (en) * 2017-06-29 2018-02-16 青岛恒金源电子科技有限公司 A kind of intelligent home network electric energy management method
CN110661253A (en) * 2019-09-24 2020-01-07 国网(苏州)城市能源研究院有限责任公司 Multi-type electric power elastic load combined adjusting method in building group
CN111600304A (en) * 2020-06-17 2020-08-28 广东工业大学 Building power scheduling method, device and equipment
CN112884013A (en) * 2021-01-26 2021-06-01 山东历控能源有限公司 Energy consumption partitioning method based on data mining technology
CN113205263A (en) * 2021-05-10 2021-08-03 苏州楚焱新能源有限公司 Accurate power demand side management method and system based on energy internet
CN114019847A (en) * 2021-10-12 2022-02-08 中建三局智能技术有限公司 Building group energy consumption abnormity management method and device
CN114372360A (en) * 2021-12-31 2022-04-19 国网河北省电力有限公司营销服务中心 Method, terminal and storage medium for power load prediction
CN116245254A (en) * 2023-03-30 2023-06-09 南通市市政工程设计院有限责任公司 Building new energy consumption capability assessment method based on energy coordination optimization
CN116316899A (en) * 2023-04-14 2023-06-23 熊丽 Intelligent power dispatching control method

Also Published As

Publication number Publication date
CN116720717A (en) 2023-09-08

Similar Documents

Publication Publication Date Title
Thomas et al. Optimal operation of an energy management system for a grid-connected smart building considering photovoltaics’ uncertainty and stochastic electric vehicles’ driving schedule
CN112874369B (en) Charging and energy supply optimization method and device of charging management system
Tang et al. Energy flexibility quantification of grid-responsive buildings: Energy flexibility index and assessment of their effectiveness for applications
EP2695269B2 (en) Optimized load management
Nguyen et al. Joint optimization of electric vehicle and home energy scheduling considering user comfort preference
US9362754B2 (en) Energy consumption management
Mets et al. Optimizing smart energy control strategies for plug-in hybrid electric vehicle charging
Tang et al. A model-based predictive dispatch strategy for unlocking and optimizing the building energy flexibilities of multiple resources in electricity markets of multiple services
JP6901286B2 (en) Power control system
Farzan et al. A multi-scale adaptive model of residential energy demand
Gong et al. Virtual power plant control for large residential communities using hvac systems for energy storage
Sehar et al. Coordinated control of building loads, PVs and ice storage to absorb PEV penetrations
EP2746093A1 (en) Method and apparatus for optimized management of an electric vehicle charging infrastructure
Yu et al. Quantifying the flexibility of lighting systems by optimal control in commercial buildings: Insight from a case study
EP3340415A1 (en) Method for operating an energy management system of a building and energy management system
Bandyopadhyay et al. Solar panels and smart thermostats: The power duo of the residential sector?
CN116720717B (en) Building energy management and adjustment system and method
CN117134480B (en) Big data analysis-based power supply regulation monitoring system and method
CN114444844A (en) Internet-based electric energy supply side management implementation scheme
CN113988440A (en) Secondary frequency modulation method for regional power distribution network based on virtual power plant
DE102020212574A1 (en) Method and arrangement for optimizing the energy consumption of buildings
KR102450203B1 (en) Variable power control system for electric vehicle charging
Maitanova et al. An analytical method for quantifying the flexibility potential of decentralised energy systems
Ye et al. Managed residential electric vehicle charging minimizes electricity bills while meeting driver and community preferences
Somers et al. Individual EV load profiling and smart charging to flatten total electrical demand

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant