CN111478323A - Point-to-point transformer capacity mutual aid method - Google Patents

Point-to-point transformer capacity mutual aid method Download PDF

Info

Publication number
CN111478323A
CN111478323A CN202010367473.0A CN202010367473A CN111478323A CN 111478323 A CN111478323 A CN 111478323A CN 202010367473 A CN202010367473 A CN 202010367473A CN 111478323 A CN111478323 A CN 111478323A
Authority
CN
China
Prior art keywords
point
intelligent terminal
capacity
load
transformer
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.)
Pending
Application number
CN202010367473.0A
Other languages
Chinese (zh)
Inventor
刘金亮
刘�东
蒋曦
赵玮
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.)
State Grid Corp of China SGCC
Cangzhou Power Supply Co of State Grid Hebei Electric Power Co Ltd
Original Assignee
State Grid Corp of China SGCC
Cangzhou Power Supply Co of State Grid Hebei Electric Power 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 State Grid Corp of China SGCC, Cangzhou Power Supply Co of State Grid Hebei Electric Power Co Ltd filed Critical State Grid Corp of China SGCC
Priority to CN202010367473.0A priority Critical patent/CN111478323A/en
Publication of CN111478323A publication Critical patent/CN111478323A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/008Circuit arrangements for ac mains or ac distribution networks involving trading of energy or energy transmission rights
    • 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
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/04Circuit arrangements for ac mains or ac distribution networks for connecting networks of the same frequency but supplied from different sources
    • H02J3/06Controlling transfer of power between connected networks; Controlling sharing of load between connected networks
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28Arrangements for balancing of the load in a network by storage of energy

Landscapes

  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Business, Economics & Management (AREA)
  • Health & Medical Sciences (AREA)
  • Economics (AREA)
  • Public Health (AREA)
  • Water Supply & Treatment (AREA)
  • General Health & Medical Sciences (AREA)
  • Human Resources & Organizations (AREA)
  • Marketing (AREA)
  • Primary Health Care (AREA)
  • Strategic Management (AREA)
  • Tourism & Hospitality (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Supply And Distribution Of Alternating Current (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses a point-to-point transformer capacity mutual aid method, which comprises the following steps: s1, installing an intelligent terminal at a transformer; s2, connecting various energy type energy storage elements such as batteries and flexible loads to a distribution network through an intelligent terminal; s3, completing point-to-point data transmission through an intelligent terminal, connecting scattered transformers in a well-ordered manner, and efficiently coordinating acquired mass data through big data and an artificial intelligence technology to enable the transformers to cooperatively exert force and realize mutual-aid capacity sharing; and S5, the platform automatically completes transaction settlement according to the judgment result of the power dispatching department and the rule. And a standardized flow is established aiming at information interaction, response confirmation, transaction signing, default judgment, result accounting and the like in the platform operation process, so that supervision and control on the whole supply and demand transaction process are realized, and timeliness, reliability and safety are guaranteed.

Description

Point-to-point transformer capacity mutual aid method
Technical Field
The invention relates to a method for mutual compensation of the capacity of a point-to-point transformer, belonging to the field of electric power.
Background
The power distribution network has great change along with the energy structure and the user demand, changes from the traditional radiation type to the multi-source interconnection, and further develops towards the direction of multi-level, multi-link and multi-form complex networks. Particularly, with the reform of an electric power trading system and the improvement of a market trading mechanism, a future power distribution network is dominated by a distributed power supply, an information communication technology and an energy network are deeply integrated, the responsible requirement of flexible load differentiation is met, an electric power market is participated by a multi-market main body, and the electricity price and the electricity utilization form are more flexible.
The interaction of the current power grid is a strong center mode, and with the gradual maturity of new technologies such as the internet of things, big data, block chains and the like, a decentralized, point-to-point interaction, high controllability, high flexibility and customized energy system becomes a reality.
In the future, the power distribution network will take on multiple roles of renewable energy consumption support, multi-element mass information integration, transaction with participation of multi-benefit main bodies and electrification support and service.
Aiming at the future requirements of power distribution network architecture and scenario, with the gradual maturity of ICT technology and ecological chain, the method is different from the traditional strong center type operation mode, and creatively provides a point-to-point transformer capacity mutual aid method based on ICT technology.
An end-to-end deployment strategy can be realized through an ICT technology, a centralized spontaneous management mechanism is established by adopting a consensus mechanism principle on the basis of the Internet of things technology, direct conversation among transformers is realized, the communication efficiency is higher, and the system cost is lower. The novel application mode is combined with computer technologies such as distributed data storage, point-to-point transmission, a consensus mechanism and an encryption algorithm. The point-to-point data transmission among the transformers is achieved, the dispersed transformers are connected in a well-ordered mode, the collected mass data are efficiently cooperated through big data and artificial intelligence technology, point-to-point direct interaction and cooperative output are achieved among the transformers, and mutual assistance and sharing of loads are achieved.
The intelligent information acquisition technology completes the large data acquisition of the distribution transformer on the premise of low cost and low power consumption, integrates system operation, market transaction and user power consumption data on a transformer capacity mutual aid sharing platform, improves the large data analysis capability of a load side, and enhances the response capability of the load side.
The distribution transformer is used as a terminal transformer of a power system, plays an important core role in the processes of power transmission, distribution and use, is insufficient in overall power supply capacity, and is lower than the increase range of power loads in overall capacity, so that a plurality of transformer stations are overloaded for power supply, and the reliability is reduced. When the transformer is overloaded, the insulation of the transformer is aged, the temperature of each part is greatly increased, the service life of each part is reduced, and the like, and the overload of the transformer not only increases the failure rate, but also is penalized by a power grid company.
The 'meeting summer' is a firm attack which must be done by power supply enterprises every year, and a plurality of lines enter a full-load or even overload running state as soon as the meeting summer comes, so that domestic appliance netmen are prepared all the time as soon as the meeting summer comes, and the safe operation of equipment is guaranteed. The method has the advantages that through the transformer capacity sharing and load coordination sharing trading platform deep analysis area and the user energy consumption variable characteristics, an optimal load coordination economic model is established for users, through marketized economic means, the user energy cost is reduced to the maximum extent, and safe, reliable and stable operation of a power grid in the peak period of power utilization is guaranteed.
The capacity design of a single distribution transformer is determined according to different load densities and power supply radiuses and by considering the load increase condition of each 1 period. With the social progress, the annual growth rate of design is low, the annual growth rate is generally considered to be 5% when the natural load growth rate is considered in the past, the load growth is relatively fast recently, and the annual growth of the load of a single transformer area exceeds 10%, so that the common capacity of the currently operated distribution transformer is insufficient. The design load density is smaller, especially in industrial concentration areas and central urban areas, the line load is larger, the power supply line runs at full load, and the capacity expansion of the transformer cannot be realized when a user has capacity expansion requirements.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides a point-to-point mutual compensation method for transformer capacity, which solves the problems.
(II) technical scheme
A method for mutual capacitance compensation of a point-to-point transformer is characterized by comprising the following steps:
s1, installing an intelligent terminal at a transformer;
s2, connecting various energy type energy storage elements such as batteries and flexible loads to a distribution network through an intelligent terminal;
s3, completing point-to-point data transmission through an intelligent terminal, connecting scattered transformers in a well-ordered manner, and efficiently coordinating acquired mass data through big data and an artificial intelligence technology to enable the transformers to cooperatively exert force and realize mutual-aid capacity sharing;
s4, the power dispatching department establishes an optimized dispatching model by using big data and an intelligent algorithm, and can finish the judgment of the contents of the safety constraint condition, the limited capacity, the limited basis, the use conditions of other users on the power transmission and distribution equipment, the constraint time interval and the like of the power transmission and distribution line through the intelligent dispatching algorithm and a decision support system and by combining a safety check module arranged in the platform;
and S5, the platform automatically completes transaction settlement according to the judgment result of the power dispatching department and the rule.
Further, in S1, the intelligent terminal is used as a basic measurement and control device at the bottom layer, is an important link of power distribution network informatization, and has flexible terminal access and networking modes, rich measurement content and data resource sharing, and real-time synchronous measurement, control and transmission of wide area data.
Further, in S2, the power electronic converter in the intelligent terminal implements charge and discharge control of the energy storage element, and implements load capacity optimization in combination with control of the flexible load, so that the intelligent terminal becomes a highly integrated comprehensive energy regulation and control device.
Furthermore, the intelligent terminal is provided with a wireless receiving and transmitting device.
Furthermore, the intelligent terminal is connected with the big data acquisition device through the distributed controller.
Furthermore, the big data acquisition equipment is electrically connected with the big data storage equipment.
Furthermore, the big data acquisition equipment and the big data storage equipment are connected with the human-computer interaction visualization terminal.
Furthermore, a visual liquid crystal display screen is arranged on the human-computer interaction visual terminal.
Further, in S4, the user puts forward a load demand, the system sends a response offer according to the response capability of each user, the user can confirm that the response time can also interrupt the capacity, the system can supervise the response process according to the deviation limit of the response capacity, supervise whether a default condition occurs in the response process, and if a default occurs, take default measures and take mandatory measures for the gap load.
Further, when no default occurs, the transaction is finished after settlement is carried out according to the load response completion degree.
(III) advantageous effects
The invention provides a method for mutual compensation of the capacity of a point-to-point transformer. Compared with the prior art, the method has the following beneficial effects:
the flexible and flexible power distribution network provides necessary ways and technical support for realizing mutual aid of the capacity of the transformer, and relates to different links of various layers such as flexible equipment, flexible scheduling and flexible transaction.
1. SOP-based flexible interconnection of power distribution network
The intelligent soft switch SOP technology oriented to the power distribution layer surface is causing a new research heat tide, a power electronic device is used for replacing a traditional interconnection switch to form a normalized soft connection, the traditional power supply mode of closed-loop design and open-loop operation is changed, and flexible, quick and accurate power exchange control and tide optimization capacity can be provided.
2. Adjustable flexible load
The power load can be further subdivided according to three different dimensions of power supply reliability, user production property and adjustable characteristic. Which can be divided into adjustable and non-adjustable loads according to the adjustable characteristic.
The adjustable load mainly comprises a temperature-controlled load, a time-driven equipment load, an intelligent household load and the like. The temperature-controlled loads include loads having a certain time lag and heat transfer characteristics such as an air conditioner, a heat pump, and a water heater. Time-driven equipment loads are represented by loads of washing machines, dryers and the like, and have a distinctive stepwise characteristic. The smart home can effectively optimize internal resources and interact with an external power grid through the energy management system.
3. Information and Communication Technology (ICT) -based informatization development
An information and digital power distribution system based on an ICT is a key for improving the flexibility level of a power distribution network, comprehensive information acquisition and analysis are beneficial to cognition of the running state of the power distribution network and uncertainty reduction, and the accuracy and the timeliness of running control of the power distribution network are obviously improved by means of rapid measurement and communication. The core problem is the effective collection, mining and utilization of information.
4. Flexible energy trading service
With the deepening of the electric power system innovation and the promotion of the electric power spot market, the power distribution network provides bidirectional customized energy service for users in the future, a point-to-point energy transaction channel facing the users is formed, and the interaction of multi-benefit subjects is completed through sufficient market competition and games.
Drawings
FIG. 1 is a system diagram of a method for peer-to-peer mutual capacitance compensation of transformers;
FIG. 2 is a diagram illustrating an optimized dispatching model established by a big data and intelligent algorithm by a power dispatching department;
in the figure: the method comprises the following steps of 1-an intelligent terminal, 2-a distributed controller, 3-a big data acquisition device, 4-a big data storage device and 5-a human-computer interaction visualization terminal.
Detailed Description
The technical solutions in the embodiments of the present invention are clearly and completely described, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-2, a method for mutual capacitance compensation of a point-to-point transformer includes the following steps:
s1, installing an intelligent terminal at a transformer, wherein the intelligent terminal is used as a basic measuring and controlling device of a bottom layer, is an important link of power distribution network informatization, has flexible terminal access and networking modes, rich measuring content and data resource sharing, and real-time synchronous measuring, controlling and transmitting of wide area data;
s2, connecting various energy type energy storage elements such as batteries and flexible loads into a distribution network through an intelligent terminal; the charging and discharging control of an energy storage element is realized by utilizing a power electronic converter in the intelligent terminal, and the load capacity optimization is realized by combining the control of a flexible load, so that the intelligent terminal becomes a highly integrated comprehensive energy regulation and control device;
s3, completing point-to-point data transmission through an intelligent terminal, connecting scattered transformers in a well-ordered manner, and efficiently coordinating acquired mass data through big data and an artificial intelligence technology to enable the transformers to cooperatively exert force and realize mutual-aid capacity sharing;
s4, the power dispatching department establishes an optimized dispatching model by using big data and an intelligent algorithm, and can finish the judgment of the contents of the safety constraint condition, the limited capacity, the limited basis, the use conditions of other users on the power transmission and distribution equipment, the constraint time interval and the like of the power transmission and distribution line through the intelligent dispatching algorithm and a decision support system and by combining a safety check module arranged in the platform;
and S5, the platform automatically completes transaction settlement according to the judgment result of the power dispatching department and the rule.
The method comprises the steps that a user puts forward a load demand, a system sends response invitations according to response capacity of each user, the user can confirm response time and also can interrupt capacity, the system can supervise a response process according to a response capacity deviation limit value, supervise whether default occurs in the response process, and punish the default if the default occurs, firstly, punishment of different unit electric quantity is respectively set according to the load level, secondly, execution is carried out in a mode of forcibly deducting default money, thirdly, the deduction result is subjected to public notice, and load response capacity evaluation of the user is reduced; and when the default does not appear, ending the transaction after settlement according to the load response completion degree.
And a standardized flow is established aiming at information interaction, response confirmation, transaction signing, default judgment, result accounting and the like in the platform operation process, so that supervision and control on the whole supply and demand transaction process are realized, and timeliness, reliability and safety are guaranteed.
Example 2
A method for mutual capacitance compensation of point-to-point transformers comprises the following steps:
s1, installing an intelligent terminal at a transformer, wherein the intelligent terminal is used as a basic measuring and controlling device of a bottom layer, is an important link of power distribution network informatization, has flexible terminal access and networking modes, rich measuring content and data resource sharing, and real-time synchronous measuring, controlling and transmitting of wide area data;
s2, connecting various energy type energy storage elements such as batteries and flexible loads into a distribution network through an intelligent terminal; the charging and discharging control of an energy storage element is realized by utilizing a power electronic converter in the intelligent terminal, and the load capacity optimization is realized by combining the control of a flexible load, so that the intelligent terminal becomes a highly integrated comprehensive energy regulation and control device;
s3, completing point-to-point data transmission through an intelligent terminal, connecting scattered transformers in a well-ordered manner, and efficiently coordinating acquired mass data through big data and an artificial intelligence technology to enable the transformers to cooperatively exert force and realize mutual-aid capacity sharing;
s4, the power dispatching department establishes an optimized dispatching model by using big data and an intelligent algorithm, and can finish the judgment of the contents of the safety constraint condition, the limited capacity, the limited basis, the use conditions of other users on the power transmission and distribution equipment, the constraint time interval and the like of the power transmission and distribution line through the intelligent dispatching algorithm and a decision support system and by combining a safety check module arranged in the platform;
and S5, the platform automatically completes transaction settlement according to the judgment result of the power dispatching department and the rule.
The user puts forward the load demand, the system sends a response invitation according to the response capacity of each user, the user can confirm the response time and also can interrupt the capacity, the system can supervise the response process according to the deviation limit value of the response capacity, supervise whether default occurs in the response process, if default occurs, take default measures, take mandatory measures for the gap load, and when default does not occur, the transaction is finished after settlement is carried out according to the load response completion degree.
Example 1 differs from example 2 in the measures taken in the event of a breach.
The flexible and flexible power distribution network provides necessary ways and technical support for realizing mutual aid of the capacity of the transformer, and relates to different links of various layers such as flexible equipment, flexible scheduling and flexible transaction.
5. SOP-based flexible interconnection of power distribution network
The intelligent soft switch SOP technology oriented to the power distribution layer surface is causing a new research heat tide, a power electronic device is used for replacing a traditional interconnection switch to form a normalized soft connection, the traditional power supply mode of closed-loop design and open-loop operation is changed, and flexible, quick and accurate power exchange control and tide optimization capacity can be provided.
6. Adjustable flexible load
The power load can be further subdivided according to three different dimensions of power supply reliability, user production property and adjustable characteristic. Which can be divided into adjustable and non-adjustable loads according to the adjustable characteristic.
The adjustable load mainly comprises a temperature-controlled load, a time-driven equipment load, an intelligent household load and the like. The temperature-controlled loads include loads having a certain time lag and heat transfer characteristics such as an air conditioner, a heat pump, and a water heater. Time-driven equipment loads are represented by loads of washing machines, dryers and the like, and have a distinctive stepwise characteristic. The smart home can effectively optimize internal resources and interact with an external power grid through the energy management system.
7. Information and Communication Technology (ICT) -based informatization development
An information and digital power distribution system based on an ICT is a key for improving the flexibility level of a power distribution network, comprehensive information acquisition and analysis are beneficial to cognition of the running state of the power distribution network and uncertainty reduction, and the accuracy and the timeliness of running control of the power distribution network are obviously improved by means of rapid measurement and communication. The core problem is the effective collection, mining and utilization of information.
8. Flexible energy trading service
With the deepening of the electric power system innovation and the promotion of the electric power spot market, the power distribution network provides bidirectional customized energy service for users in the future, a point-to-point energy transaction channel facing the users is formed, and the interaction of multi-benefit subjects is completed through sufficient market competition and games.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (10)

1. A method for mutual capacitance compensation of a point-to-point transformer is characterized by comprising the following steps:
s1, installing an intelligent terminal at a transformer;
s2, connecting various energy type energy storage elements such as batteries and flexible loads to a distribution network through an intelligent terminal;
s3, completing point-to-point data transmission through an intelligent terminal, connecting scattered transformers in a well-ordered manner, and efficiently coordinating acquired mass data through big data and an artificial intelligence technology to enable the transformers to cooperatively exert force and realize mutual-aid capacity sharing;
s4, the power dispatching department establishes an optimized dispatching model by using big data and an intelligent algorithm, and can finish the judgment of the contents of the safety constraint condition, the limited capacity, the limited basis, the use conditions of other users on the power transmission and distribution equipment, the constraint time interval and the like of the power transmission and distribution line through the intelligent dispatching algorithm and a decision support system and by combining a safety check module arranged in the platform;
and S5, the platform automatically completes transaction settlement according to the judgment result of the power dispatching department and the rule.
2. The method of claim 1, wherein the method further comprises: in S1, the intelligent terminal is used as a basic measurement and control device at the bottom layer, is an important link of power distribution network informatization, and has flexible terminal access and networking modes, rich measurement content and data resource sharing, and real-time synchronous measurement, control and transmission of wide-area data.
3. The method of claim 1, wherein the method further comprises: in S2, the power electronic converter in the intelligent terminal implements charge and discharge control of the energy storage element, and implements load capacity optimization in combination with control of the flexible load, so that the intelligent terminal becomes a highly integrated comprehensive energy regulation and control device.
4. The method of claim 1, wherein the method further comprises: and the intelligent terminal is provided with a wireless receiving and transmitting device.
5. The method of claim 1, wherein the method further comprises: and the intelligent terminal is connected with the big data acquisition device through the distributed controller.
6. The method of claim 5, wherein the step of converting the transformer capacity to a point-to-point transformer capacity comprises: and the big data acquisition equipment is electrically connected with the big data storage equipment.
7. The method of claim 6, wherein the step of converting the transformer capacity to a point-to-point transformer capacity comprises: and the big data acquisition equipment and the big data storage equipment are connected with the human-computer interaction visualization terminal.
8. The method of claim 7, wherein the step of transforming comprises: and the human-computer interaction visualization terminal is provided with a visualization liquid crystal display screen.
9. The method of claim 8, wherein the step of transforming comprises: in S4, the user puts forward the load demand, the system sends a response offer according to the response capability of each user, the user can confirm that the response time can also interrupt the capacity, the system can supervise the response process according to the deviation limit of the response capacity, supervise whether a default occurs in the response process, if a default occurs, take default measures, and take mandatory measures for the gap load.
10. The method of claim 9, wherein the step of transforming comprises: and when the default does not appear, ending the transaction after settlement according to the load response completion degree.
CN202010367473.0A 2020-04-30 2020-04-30 Point-to-point transformer capacity mutual aid method Pending CN111478323A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010367473.0A CN111478323A (en) 2020-04-30 2020-04-30 Point-to-point transformer capacity mutual aid method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010367473.0A CN111478323A (en) 2020-04-30 2020-04-30 Point-to-point transformer capacity mutual aid method

Publications (1)

Publication Number Publication Date
CN111478323A true CN111478323A (en) 2020-07-31

Family

ID=71757079

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010367473.0A Pending CN111478323A (en) 2020-04-30 2020-04-30 Point-to-point transformer capacity mutual aid method

Country Status (1)

Country Link
CN (1) CN111478323A (en)

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120079096A1 (en) * 2010-09-29 2012-03-29 Schneider Electric USA, Inc. Networked devices for monitoring utility usage and methods of using the same
CN104158289A (en) * 2014-07-24 2014-11-19 许昌学院 System and method for intelligent and progressive electricity utilization management based on intelligent and progressive utilization management device
CN106253300A (en) * 2016-08-26 2016-12-21 江苏方天电力技术有限公司 A kind of Real-time Load control decision platform based on load dynamic sensing and method
CN205880579U (en) * 2016-07-07 2017-01-11 天津中电华利电器科技集团有限公司 Distribution remote monitering system based on TTU
CN108805409A (en) * 2018-05-08 2018-11-13 武汉大学 A kind of key foundation equipment information management method based on block chain
CN110071579A (en) * 2019-06-05 2019-07-30 国网北京市电力公司 Power grid power supply based on ubiquitous electric power Internet of Things ensures and intelligent managing and control system
CN110994602A (en) * 2019-12-10 2020-04-10 深圳供电局有限公司 Power grid dispatching demand response system and method

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120079096A1 (en) * 2010-09-29 2012-03-29 Schneider Electric USA, Inc. Networked devices for monitoring utility usage and methods of using the same
CN104158289A (en) * 2014-07-24 2014-11-19 许昌学院 System and method for intelligent and progressive electricity utilization management based on intelligent and progressive utilization management device
CN205880579U (en) * 2016-07-07 2017-01-11 天津中电华利电器科技集团有限公司 Distribution remote monitering system based on TTU
CN106253300A (en) * 2016-08-26 2016-12-21 江苏方天电力技术有限公司 A kind of Real-time Load control decision platform based on load dynamic sensing and method
CN108805409A (en) * 2018-05-08 2018-11-13 武汉大学 A kind of key foundation equipment information management method based on block chain
CN110071579A (en) * 2019-06-05 2019-07-30 国网北京市电力公司 Power grid power supply based on ubiquitous electric power Internet of Things ensures and intelligent managing and control system
CN110994602A (en) * 2019-12-10 2020-04-10 深圳供电局有限公司 Power grid dispatching demand response system and method

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
寇凌峰 等: "面向低压配变台区的微电网技术", 《储能科学与技术》 *

Similar Documents

Publication Publication Date Title
CN108269025B (en) Source-load peer-to-peer type electric energy interaction method based on' Internet +
Liu et al. Online energy sharing for nanogrid clusters: A Lyapunov optimization approach
CN111882105B (en) Micro-grid group containing shared energy storage system and day-ahead economic optimization scheduling method thereof
CN101895115B (en) Method for constructing distributed power supply smart grid with hierarchy structure
CN107958300A (en) A kind of more microgrid interconnected operation coordinated scheduling optimization methods for considering interactive response
CN111738502A (en) Multi-energy complementary system demand response operation optimization method for promoting surplus wind power consumption
CN110378058A (en) A kind of method for building up for the electro thermal coupling microgrid optimal response model comprehensively considering reliability and economy
CN109193812A (en) A kind of garden light storage lotus micro-capacitance sensor economic load dispatching implementation method
CN112186755A (en) Flexible load energy storage modeling method for regional comprehensive energy system
CN105305497A (en) System and method for management of low-loss intelligent power grid
CN105515110A (en) Electric automobile ordered charging real-time control system
Zenginis et al. Optimal power equipment sizing and management for cooperative buildings in microgrids
CN112787330B (en) Power distribution network cooperative operation control method and system containing shared energy storage
CN114155103A (en) Energy sharing alliance flexibility transaction method based on block chain cooperation game
Zhang Optimal design and planning of energy microgrids
CN114336745A (en) Multi-energy complementary intelligent energy system based on source network charge storage and control method
CN110209135A (en) Home energy source Optimization Scheduling based on minisize thermoelectric coproduction Multiple Time Scales
CN201742093U (en) Distributed energy resource based intelligent grid system adopting layered structure
CN115170343A (en) Distributed resource and energy storage collaborative planning method for regional comprehensive energy system
CN115688448A (en) Optimal scheduling method for multi-region comprehensive energy system considering shared energy storage
CN115102953A (en) Power distribution network cloud edge terminal cooperative control system and method
CN207249427U (en) A kind of electric meter system applied to family's photovoltaic generation
CN113746105A (en) Optimal control method, device, equipment and storage medium for power demand response
Chen Energy-use Internet and friendly interaction with power grid: A perspective
Soleimani et al. Enabling vehicle-to-grid and grid-to-vehicle transactions via a robust home energy management system by considering battery aging

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
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20200731