CN114726001A - Micro-grid management method and system - Google Patents

Micro-grid management method and system Download PDF

Info

Publication number
CN114726001A
CN114726001A CN202210637721.8A CN202210637721A CN114726001A CN 114726001 A CN114726001 A CN 114726001A CN 202210637721 A CN202210637721 A CN 202210637721A CN 114726001 A CN114726001 A CN 114726001A
Authority
CN
China
Prior art keywords
energy storage
unit
storage unit
load
power
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.)
Granted
Application number
CN202210637721.8A
Other languages
Chinese (zh)
Other versions
CN114726001B (en
Inventor
蔡莉
张强伟
童天辰
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.)
Zhongguancun Technology Leasing Co ltd
Original Assignee
Shitu Technology Hangzhou 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 Shitu Technology Hangzhou Co ltd filed Critical Shitu Technology Hangzhou Co ltd
Priority to CN202210637721.8A priority Critical patent/CN114726001B/en
Publication of CN114726001A publication Critical patent/CN114726001A/en
Application granted granted Critical
Publication of CN114726001B publication Critical patent/CN114726001B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

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
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/388Islanding, i.e. disconnection of local power supply from the network
    • 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
    • G06Q10/06Resources, 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
    • G06Q10/06315Needs-based resource requirements planning or analysis
    • 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
    • H02J3/007Arrangements for selectively connecting the load or loads to one or several among a plurality of power lines or power sources
    • H02J3/0075Arrangements for selectively connecting the load or loads to one or several among a plurality of power lines or power sources for providing alternative feeding paths between load and source according to economic or energy efficiency considerations, e.g. economic dispatch
    • 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
    • H02J3/12Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
    • H02J3/14Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
    • H02J3/144Demand-response operation of the power transmission or distribution network
    • 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
    • H02J3/32Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
    • 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
    • H02J3/32Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
    • H02J3/322Arrangements for balancing of the load in a network by storage of energy using batteries with converting means the battery being on-board an electric or hybrid vehicle, e.g. vehicle to grid arrangements [V2G], power aggregation, use of the battery for network load balancing, coordinated or cooperative battery charging
    • 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
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/381Dispersed generators
    • 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
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46Controlling of the sharing of output between the generators, converters, or transformers
    • H02J3/466Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20The dispersed energy generation being of renewable origin
    • H02J2300/22The renewable source being solar energy
    • H02J2300/24The renewable source being solar energy of photovoltaic origin
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20The dispersed energy generation being of renewable origin
    • H02J2300/28The renewable source being wind energy
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/40Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation wherein a plurality of decentralised, dispersed or local energy generation technologies are operated simultaneously
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2310/00The network for supplying or distributing electric power characterised by its spatial reach or by the load
    • H02J2310/50The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads
    • H02J2310/56The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads characterised by the condition upon which the selective controlling is based
    • H02J2310/58The condition being electrical
    • H02J2310/60Limiting power consumption in the network or in one section of the network, e.g. load shedding or peak shaving
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2310/00The network for supplying or distributing electric power characterised by its spatial reach or by the load
    • H02J2310/50The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads
    • H02J2310/56The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads characterised by the condition upon which the selective controlling is based
    • H02J2310/62The condition being non-electrical, e.g. temperature
    • H02J2310/64The condition being economic, e.g. tariff based load management
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T90/00Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02T90/10Technologies relating to charging of electric vehicles
    • Y02T90/12Electric charging stations

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Human Resources & Organizations (AREA)
  • Power Engineering (AREA)
  • Economics (AREA)
  • Strategic Management (AREA)
  • Entrepreneurship & Innovation (AREA)
  • General Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • Tourism & Hospitality (AREA)
  • Marketing (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Quality & Reliability (AREA)
  • Operations Research (AREA)
  • Game Theory and Decision Science (AREA)
  • Educational Administration (AREA)
  • Development Economics (AREA)
  • Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Water Supply & Treatment (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Supply And Distribution Of Alternating Current (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)

Abstract

The invention discloses a method and a system for managing a micro-grid. A microgrid management method comprises the following steps: acquiring power supply data of a power supply unit, energy storage data of an energy storage unit and load data of a load unit through a front-end processor; acquiring a preset control strategy for micro-grid management; adjusting the working states of the power supply unit, the energy storage unit and the load unit according to a preset control strategy; the energy storage unit comprises a mobile energy storage unit and a fixed energy storage unit, the mobile energy storage unit determines whether the mobile energy storage unit is used as an energy storage pack or a mobile charging pile according to a preset control strategy, the mobile energy storage unit is connected with other equipment of the energy storage unit when being used as the energy storage pack, and the mobile charging pile is used for adjusting the working state to move to a target position; and acquiring the current electricity price, and automatically regulating and controlling the working states of the power supply unit, the energy storage unit and the load unit according to the electricity price. The beneficial effects of effectively utilizing renewable energy, stabilizing fluctuation and responding to the demand in time, coordinating the electric energy of the micro-grid and the electric energy of the electric grid through the mobile energy storage unit, and optimizing operation and economic optimization are achieved.

Description

Micro-grid management method and system
Technical Field
The invention relates to the technical field of micro-grids, in particular to a micro-grid management method and system.
Background
With the attention on climate change, government promotion and the drive of other factors in recent years, the new energy industry is rapidly developed. With the continuous development of renewable energy sources such as wind power, photoelectricity and the like, the renewable energy sources participate in daily electricity consumption of residents more, however, the fluctuation and the limitation of the renewable energy sources cause that the utilization rate is not as expected.
The method adopts a microgrid scheduling mode to utilize renewable energy to become a conventional mode, and the microgrid is used as a new power network system and comprises a distributed power supply, an energy storage unit, a power utilization load and the like. The energy storage unit is used as an important component of the microgrid, and the intelligent scheduling relation of the energy storage unit is greatly developed for the microgrid. The problems of poor electric energy storage, coordination and scheduling of renewable energy sources and poor demand response effect and low economic efficiency exist in the prior art.
Disclosure of Invention
The invention provides a microgrid management method and a microgrid management system, which are used for solving the problems of unsatisfactory electric energy storage, coordinated scheduling and demand response effects of renewable energy sources and low economic efficiency.
According to an aspect of the present invention, a method for managing a microgrid is provided, including:
acquiring power supply data of a power supply unit, energy storage data of an energy storage unit and load data of a load unit through a front-end processor;
acquiring a preset control strategy for micro-grid management;
adjusting the working states of the power supply unit, the energy storage unit and the load unit according to the preset control strategy; the energy storage unit comprises a mobile energy storage unit and a fixed energy storage unit, the mobile energy storage unit is used for determining whether the mobile energy storage unit is used as an energy storage pack or a mobile charging pile according to the preset control strategy, the mobile energy storage unit is connected with other equipment of the energy storage unit when being used as the energy storage pack, and the mobile charging pile is used for adjusting the working state to move to a target position when being used as the mobile charging pile;
and acquiring the current electricity price, and automatically regulating and controlling the working states of the power supply unit, the energy storage unit and the load unit according to the electricity price.
Optionally, the power supply unit includes a power generation unit and a power grid, and the power generation unit includes: the system comprises a photovoltaic power generation device, a wind power generation device and a generator;
the mobile energy storage unit is a mobile charging vehicle, and the fixed energy storage unit is an energy storage battery;
the load unit comprises a charging load unit and a daily load unit, and the charging load unit comprises a charging pile.
Optionally, the preset control strategy includes: a station peak clipping strategy and a demand response strategy;
the station peak clipping strategy comprises a transformer overload prevention sub-strategy, a load peak control sub-strategy and an electricity price peak control sub-strategy.
Optionally, the adjusting the working states of the power supply unit, the energy storage unit, and the load unit according to the preset control policy includes:
when the preset control strategy is the transformer overload prevention sub-strategy, judging the relation between the transformer load rate of the charging load unit and a first threshold, a second threshold and a third threshold;
when the load rate of the transformer does not exceed the first threshold value, the mobile energy storage unit moves to a target position to charge the target new energy automobile according to the received charging requirement of the target new energy automobile, and the fixed energy storage unit obtains electric energy from the power generation unit to charge;
when the load rate of the transformer exceeds the first threshold value, controlling the energy storage unit to stop charging, and generating power at full power by the power generation unit;
when the load rate of the transformer exceeds the second threshold value, controlling the energy storage unit to discharge at full power and the power generation unit to generate power at full power; the mobile energy storage unit is controlled to move to a preset position to discharge to the microgrid;
when the load rate of the transformer exceeds the third threshold value, the energy storage unit is controlled to discharge at full power, the power generation unit generates power at full power, and meanwhile, the load is cut off according to the load grade of the load unit.
Optionally, the adjusting the working states of the power supply unit, the energy storage unit, and the load unit according to the preset control policy includes:
when the preset control strategy is the load peak control sub-strategy, acquiring recorded natural monthly load peak data and generating an automatic peak regulation plan;
increasing the generating power/reducing the power load according to the control priority in the peak forecasting period according to the automatic peak regulation plan; wherein, the control priority is as follows in sequence: the power generation power of the power generation unit is increased, the energy storage unit is changed from a charging state to a power generation state, and loads are cut off according to the sequence of the load grades.
Optionally, the adjusting the working states of the power supply unit, the energy storage unit, and the load unit according to the preset control policy includes:
when the preset control strategy is the power price peak control sub-strategy, acquiring current power price subsection data;
reducing the electric quantity acquired from the power grid according to the control priority in a high-price period; wherein, the control priority is as follows in sequence: increasing the power generation power of the power generation unit, changing the charging state of the energy storage unit into a power generation state, and cutting off loads according to the sequence of the load grades;
controlling the charging state of the energy storage unit according to the electricity price comparison condition in a low electricity price period; when the electricity price is higher than the internet electricity price, the energy storage unit is controlled to obtain the electric energy from the power generation unit.
Optionally, the adjusting the working states of the power supply unit, the energy storage unit, and the load unit according to the preset control policy includes:
when the preset control strategy is the demand response strategy, acquiring a demand response type and a response time period;
calculating the target power and the target duration of response in the response time period according to the target power generation amount of the power generation unit and the energy storage capacity of the energy storage unit;
and controlling the power supply unit, the energy storage unit and the load unit to execute demand response according to the target power and the target duration.
Optionally, the obtaining the current electricity price and automatically regulating and controlling the working states of the power supply unit, the energy storage unit and the load unit according to the electricity price include:
acquiring the current electricity price, the internet electricity price and the working states of the power supply unit and the load unit;
and when the current electricity price is less than the internet electricity price and the power generation power of the power generation unit is greater than the load of the load unit, discharging the electric energy of the energy storage unit to the power grid to obtain a power generation subsidy.
Optionally, after the obtaining the current electricity price and automatically regulating and controlling the working states of the power supply unit, the energy storage unit and the load unit according to the electricity price, the method further includes:
and transmitting the power supply data, the energy storage data and the load data to a management platform in real time for displaying.
According to another aspect of the present invention, there is provided a microgrid management system, comprising: the system comprises a microgrid controller, a power supply unit, an energy storage unit and a load unit;
the power supply unit includes a power generation unit and a power grid, the power generation unit includes: the power supply unit is used for providing electric energy for the micro-grid management system;
the energy storage unit is used for acquiring electric energy from the power supply unit for storage and discharging to the load unit and/or the power grid according to the instruction of the microgrid controller; the energy storage unit comprises a mobile energy storage unit and a fixed energy storage unit, the mobile energy storage unit is used for determining whether the mobile energy storage unit is used as an energy storage pack or a mobile charging pile according to an instruction of the microgrid controller, the mobile energy storage unit is connected with other equipment of the energy storage unit as the energy storage pack, and the mobile charging pile is used for adjusting the working state to move to a target position;
the load unit is used for acquiring electric energy from the power supply unit/the energy storage unit;
the microgrid controller is used for acquiring power data of a power supply unit, energy storage data of an energy storage unit and load data of a load unit through a front-end processor, and automatically regulating and controlling the working states of the power supply unit, the energy storage unit and the load unit through a preset control strategy and the current electricity price.
The technical scheme of the embodiment of the invention is that a micro-grid management method comprises the following steps: acquiring power supply data of a power supply unit, energy storage data of an energy storage unit and load data of a load unit through a front-end processor; acquiring a preset control strategy for micro-grid management; adjusting the working states of the power supply unit, the energy storage unit and the load unit according to a preset control strategy; the energy storage unit comprises a mobile energy storage unit and a fixed energy storage unit, and the mobile energy storage unit moves to a target position according to a preset control strategy and adjusts the working state; and acquiring the current electricity price, and automatically regulating and controlling the working states of the power supply unit, the energy storage unit and the load unit according to the electricity price. The problems that the electric energy storage, coordination scheduling and demand response effects of renewable energy are not ideal and the economic efficiency is low are solved, the advantages that the renewable energy is effectively utilized, the electric energy fluctuation is stabilized, the coordination scheduling and the timely response requirements are met, the electric energy of the microgrid is fully utilized through the mobile energy storage unit, and the operation is optimized and the economic optimal control is realized.
It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present invention, nor do they necessarily limit the scope of the invention. Other features of the present invention will become apparent from the following description.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic flow chart illustrating a method for managing a micro-grid according to an embodiment of the present invention;
fig. 2 is a schematic flow chart illustrating another management method for a micro-grid according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a microgrid management system according to a second embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the 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.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example one
Fig. 1 is a schematic flow chart of a method for managing a microgrid according to an embodiment of the present invention, where the method can be executed by a microgrid management system.
As shown in fig. 1, the method includes:
and S110, acquiring power supply data of the power supply unit, energy storage data of the energy storage unit and load data of the load unit through the front-end processor.
Wherein, the power supply unit includes power generation unit and electric wire netting, power generation unit includes: photovoltaic power generation device, wind-powered electricity generation device and generator. The corresponding power supply data are: photovoltaic power source data, comprising: photovoltaic power generation power, photovoltaic power generation capacity and photovoltaic operation state; wind power supply data comprising: wind speed, fan generating power, fan generating capacity and fan running state; generator power data, comprising: the power generation power of the generator, the generating capacity of the generator and the running state of the generator; the grid power data includes grid operating conditions.
The photovoltaic power generation devices are connected into a photovoltaic inverter after being connected in series, and the alternating current side is connected into a main power grid in a converging mode. The system information is accessed to the microgrid controller in an optical fiber mode through the photoelectric conversion device, and the intelligent electric meter reads information such as the power generation power, the power generation amount and the running state of the photovoltaic system. Wind power generation set's master control is passed through wind-powered electricity generation conversion equipment and is inserted the microgrid controller with the optic fibre form, and exemplarily, wind power generation set is inserted the microgrid controller through wind-force grid-connected cabinet, and information such as wind speed, fan generated power, fan generated energy and fan running state are read to smart electric meter. The generator can be a diesel generator, and the micro-grid controller is accessed through the grid-connected control cabinet, and the intelligent electric meter reads the generated power, the generated energy and the running state of the diesel generator.
The energy storage unit comprises a mobile energy storage unit and a fixed energy storage unit, the mobile energy storage unit is a mobile charging vehicle, and the fixed energy storage unit is an energy storage battery; the mobile charging car and the energy storage battery obtain the electric energy of the micro-grid through the energy storage converter or the direct current charging pile, exemplarily, the mobile charging car is the mobile energy storage charging car CUBE, the energy storage battery is the echelon battery, and further, the energy storage unit can also supply power for the new energy car battery. The intelligent electric meter is used for reading the charge state, the health state, the charge and discharge power, the charge and discharge electric quantity, the battery environment temperature and the running state of the energy storage system of the energy storage unit, reading the voltage and the temperature of the energy storage single battery, and meanwhile, the energy storage converter can be remotely started and stopped, the energy storage power can be remotely adjusted, and the like. For example, the new energy automobile can be directly connected with the electric energy of the energy storage converter from the microgrid; further, by adopting a technology of V2G (Vehicle-to-grid), when the new energy automobile is not in use, electric energy of the Vehicle-mounted battery is sold to a system of the microgrid, and if the Vehicle-mounted battery needs to be charged, current flows from the microgrid to the new energy automobile. Furthermore, the mobile charging vehicle CUBE can be used flexibly, the mobile energy storage charging vehicle CUBE can be moved to the position of a target new energy vehicle or other target positions to charge the target new energy vehicle, when the electric quantity of the new energy vehicle is not enough to reach the direct charging pile, the mobile energy vehicle CUBE is actively moved to the target position to charge the new energy vehicle, the mobile energy vehicle CUBE is moved flexibly, the use range of the electric energy of a micro-grid is expanded, and the mobile energy vehicle CUBE is automatically returned to the energy storage converter to supplement the electric energy after the charging is completed.
The load unit comprises a charging load unit and a daily load unit, and the charging load unit comprises a charging pile. Fill electric pile and manage through filling electric pile operation management system, insert single-point microgrid control device with the network mode through intelligent ammeter, information such as electric pile operating power, power consumption are filled in the reading of intelligent ammeter. The daily load comprises loads such as intelligent street lamps, air conditioners and fans, the single-point microgrid controller is accessed in a network mode, and the intelligent ammeter reads information such as equipment power, power consumption and running state.
And S120, acquiring a preset control strategy for microgrid management.
The management operation of the micro-grid is mainly grid-connected operation, the working states of the power supply unit, the energy storage unit and the load unit are adjusted through a preset strategy, so that the principle of spontaneous self-use and residual electricity storage is adopted for new energy power generation of wind, light and the like, the new energy power generation proportion is improved, energy acquisition from the grid is reduced as much as possible, the energy consumption is reduced, and the economic advantage is improved.
After power data, energy storage data and load data are obtained, control is carried out by combining a preset control strategy according to the current running condition of the microgrid, wherein the preset control strategy comprises the following steps: a station peak clipping strategy and a demand response strategy; further, the station peak clipping strategy comprises a transformer overload prevention sub-strategy, a load peak control sub-strategy and an electricity price peak control sub-strategy. When the microgrid is operated, the microgrid must be in one of control strategy modes.
S130, adjusting the working states of the power supply unit, the energy storage unit and the load unit according to a preset control strategy; the energy storage unit comprises a mobile energy storage unit and a fixed energy storage unit, the mobile energy storage unit determines whether to serve as an energy storage pack or a mobile charging pile according to a preset control strategy, the mobile energy storage unit is connected with other equipment of the energy storage unit as the energy storage pack, and the mobile charging pile adjusts the working state to move to a target position.
Step S130 can be subdivided into four cases:
the first condition is as follows: when the preset control strategy is the transformer overload prevention sub-strategy, judging the relation between the transformer load rate of the charging load unit and a first threshold, a second threshold and a third threshold;
when the load rate of the transformer does not exceed the first threshold value, the mobile energy storage unit moves to a target position to charge the target new energy automobile according to the received charging requirement of the target new energy automobile, and the fixed energy storage unit obtains electric energy from the power generation unit to charge;
when the load rate of the transformer exceeds the first threshold value, controlling the energy storage unit to stop charging, and generating power at full power by the power generation unit;
when the load rate of the transformer exceeds the second threshold value, controlling the energy storage unit to discharge at full power and the power generation unit to generate power at full power; the mobile energy storage unit is controlled to move to a preset position to discharge to the microgrid;
when the load rate of the transformer exceeds the third threshold value, the energy storage unit is controlled to discharge at full power, the power generation unit generates power at full power, and meanwhile, the load is cut off according to the load grade of the load unit.
Wherein the first threshold is 80%, the second threshold is 90%, and the third threshold is 95%.
When the transformer load rate of the charging load unit is less than 80%, the generated power of the power generation unit meets the requirement of the charging load unit, and meanwhile, the redundant electric energy can be used for charging the energy storage unit so as to store the electric energy. At the moment, if the new energy automobile in the preset range has a charging requirement, the mobile energy storage unit serves as a mobile charging pile according to a preset control strategy, the mobile charging car CUBE moves to the target position to charge the target new energy automobile according to the received charging requirement of the target new energy automobile, if the new energy automobile in the preset range does not send the charging requirement, the mobile energy storage unit serves as an energy storage pack according to the preset control strategy, the mobile charging car CUBE is parked at a preset storage address, and electric energy of the microgrid is obtained through the energy storage converter to charge. When the transformer load rate of the charging load unit is greater than 80%, the power generation power of the power generation unit is not enough to meet the requirement of the charging load unit, at the moment, the energy storage unit is controlled to stop charging, and the power generation unit generates power at full power to ensure that the power requirement of the charging load unit is met. At the moment, according to a preset control strategy, the mobile energy storage unit serves as an energy storage pack, the mobile charging vehicle CUBE moves to a target position to charge the target new energy vehicle according to the received charging requirement of the target new energy vehicle, but returns to a preset storage address after charging is completed, and charging is not performed when the mobile charging vehicle CUBE is connected to the microgrid through the energy storage converter.
When the transformer load factor of the charging load unit is greater than 90%, the full-power generation of the power generation unit is not enough to meet the requirement of the charging load unit, at the moment, the mobile energy storage unit is only used as an energy storage package according to a preset control strategy, the micro-grid controls the energy storage unit to supply stored electric energy to the charging load unit, and the requirement of the charging pile in the charging load unit on the electric energy charged by the new energy electric car is met. At the moment, the mobile charging vehicle CUBE preferentially returns to the preset storage address without receiving the charging requirement of the new energy vehicle, and is connected to the microgrid for discharging through the energy storage converter.
In the load unit, the normal work of the charging load unit is preferentially ensured, and the daily load is smaller than the charging load. When the transformer load rate of the charging load unit is greater than 95%, the full-power generation and energy storage unit of the power generation unit discharges at full power, and the requirement of the charging load unit is not met, at the moment, in order to ensure that the charging pile stably charges the new energy electric car, the load is cut off according to the load grade of the load unit, for example, the brightness of the intelligent street lamp is reduced or closed, and the running gear of an air conditioner and a fan is reduced.
Case two: when the preset control strategy is the load peak control sub-strategy, acquiring recorded natural monthly load peak data and generating an automatic peak regulation plan;
increasing the generating power/reducing the power load according to the control priority in the peak forecasting period according to the automatic peak regulation plan; wherein, the control priority is as follows in sequence: the power generation power of the power generation unit is increased, the energy storage unit is changed from a charging state to a power generation state, and loads are cut off according to the sequence of the load grades.
And in the peak time of power utilization, the power utilization pressure of the micro-grid and the power grid is higher, in order to relieve the power utilization pressure of the power grid, an automatic peak regulation plan is generated according to the peak data of the load in the natural month, and the peak regulation is carried out by increasing the generating power/reducing the power utilization load according to the control priority. For example, when the end of a natural month is an electricity consumption peak, the predicted peak period is the end of the next month, when the predicted peak period is about to come, the power generation power of the power generation unit is sequentially controlled to increase, the predicted peak is not met after full-power generation, the energy storage unit is continuously controlled to be changed from a charging state to a discharging state to the micro-grid, the stored electric energy is released, and if the electric energy of the energy storage unit released by full power cannot reach the predicted peak, the loads are sequentially cut off according to the load grades in the load units, so that the normal operation of high-grade loads is ensured, and the electricity consumption pressure of the grid is reduced.
Case three: when the preset control strategy is the electricity price peak control sub-strategy, acquiring current electricity price subsection data;
reducing the electric quantity acquired from the power grid according to the control priority in a high-price period; wherein, the control priority is as follows in sequence: increasing the power generation power of the power generation unit, changing the charging state of the energy storage unit into the discharging state, and cutting off the loads according to the sequence of the load grades;
controlling the charging state of the energy storage unit according to the electricity price comparison condition in a low electricity price period; when the electricity price is higher than the internet electricity price, the energy storage unit is controlled to obtain the electric energy from the power generation unit.
On the premise of ensuring the stable operation of the microgrid, the economic efficiency of the microgrid is required to be improved as much as possible. The current electricity price is a sectional electricity price, and corresponds to different electricity prices according to a daily time period. In a high electricity price period, reducing the electric quantity acquired from the power grid according to the control priority, and reducing the electricity charge; the method comprises the steps that full-power generation of a power generation unit is controlled to meet the power load, when the power generation power of the power generation unit is larger than the power load, redundant electric energy is stored in an energy storage unit and used for supplying power to a load when the power generation power of the power generation unit is insufficient; when the electricity price is high and the power generation unit and the energy storage unit cannot meet the load unit, the loads are cut off according to the sequence of the load grades.
In a low electricity price period, comparing the electricity price of the power grid with the electricity price of the power grid, controlling the energy storage unit to obtain the electric energy from the power grid when the electricity price is lower than the electricity price of the power grid, fully filling the energy storage unit, and controlling the energy storage unit to obtain the electric energy from the power generation unit when the electricity price is higher than the electricity price of the power grid; when the micro-grid is powered on, the energy storage unit is controlled to obtain electric energy from different power sources, and economic use of the micro-grid is guaranteed.
Case four: when the preset control strategy is the demand response strategy, acquiring a demand response type and a response time interval;
calculating the target power and the target duration of response in the response time period according to the target power generation amount of the power generation unit and the energy storage capacity of the energy storage unit;
and controlling the power supply unit, the energy storage unit and the load unit to execute demand response according to the target power and the target duration.
The specific demand response type and the response time period are manually set by a user, the magnitude of the power which can be responded in the response time period and the response time length are automatically calculated according to the target power generation amount of the power generation unit and the energy storage capacity of the energy storage unit, and the microgrid controller can automatically execute the demand response according to the declared power and the time period set by the user when the demand response is executed.
And S140, acquiring the current electricity price, and automatically regulating and controlling the working states of the power supply unit, the energy storage unit and the load unit according to the electricity price.
Wherein, step S140 further includes:
and S141, acquiring the current electricity price, the internet electricity price, and the working states of the power supply unit and the load unit.
Under the control of a preset control strategy, the microgrid controller can also perform adaptive adjustment, optimize operation and economic optimal control, and provide support for realizing maximization of comprehensive utilization efficiency of energy in the station. Specifically, the current electricity price and the current internet price of the power grid and the working states of the charging unit and the load unit are combined, the electric energy of the energy storage unit is selectively connected to the power grid in an internet mode, and the power generation subsidy is obtained. For example, when the current electricity price of the power grid is low, the electric energy generated by the power generation unit is preferentially stored by the energy storage unit; when the current electricity price of the power grid is higher, the electricity generation residual quantity of the charging unit and the electricity quantity of the energy storage unit are both connected to the power grid.
And S142, when the current electricity price is less than the internet electricity price and the power generation power of the power generation unit is greater than the load of the load unit, discharging the electric energy of the energy storage unit to the power grid to obtain a power generation subsidy.
When the power generation power of the power generation unit is larger than the load of the load unit, redundant electric energy of the power generation unit and electric energy of the energy storage unit are in an idle state temporarily, and can be discharged to a power grid to obtain power generation subsidies, so that the economic performance of the micro-power grid is further improved.
The embodiment of the invention provides a micro-grid management method, which comprises the following steps: acquiring power supply data of a power supply unit, energy storage data of an energy storage unit and load data of a load unit through a front-end processor; acquiring a preset control strategy for micro-grid management; adjusting the working states of the power supply unit, the energy storage unit and the load unit according to a preset control strategy; the energy storage unit comprises a mobile energy storage unit and a fixed energy storage unit, and the mobile energy storage unit moves to a target position according to a preset control strategy and adjusts the working state; and acquiring the current electricity price, and automatically regulating and controlling the working states of the power supply unit, the energy storage unit and the load unit according to the electricity price. The problems that the electric energy storage, coordination scheduling and demand response effects of renewable energy are not ideal and the economic efficiency is low are solved, the advantages that the renewable energy is effectively utilized, the fluctuation is stabilized, the coordination scheduling and the demand response are timely achieved, the electric energy of the microgrid is fully utilized through the mobile energy storage unit, and the operation is optimized and the economic optimal control is achieved.
On the basis of the above embodiment, as shown in fig. 2, after step S140, the method further includes:
and S150, transmitting the power supply data, the energy storage data and the load data to a management platform in real time for displaying.
The microgrid monitor forwards data to the management platform through the front-end processor, displays the data on a large monitoring screen of the central control room, and uploads the data to the application system, wherein the photovoltaic power supply data has the capacity of being forwarded to a superior platform, and the microgrid operation information can be checked through multiple terminals as required. And the visualization and remote control performance of the microgrid is enhanced. All data are stored in the server, the data storage time is longer than 1 year, and the traceability period of the data is guaranteed.
Example two
Fig. 3 is a schematic structural diagram of a microgrid management system according to a second embodiment of the present invention.
As shown in fig. 3, a microgrid management system includes: microgrid controller 210, power supply unit 220, energy storage unit 230, and load unit 240;
the power supply unit 220 includes a power generation unit and a power grid, and the power generation unit includes: the power supply unit is used for providing electric energy for the micro-grid management system;
the energy storage unit 230 is configured to obtain electric energy from the power supply unit for storage, and discharge the electric energy to the load unit and/or the power grid according to an instruction of the microgrid controller; the energy storage unit 230 includes a mobile energy storage unit 231 and a fixed energy storage unit 232, and the mobile energy storage unit 231 determines whether to be an energy storage pack or a mobile charging pile according to an instruction of the microgrid controller, and is connected with other devices of the energy storage unit as the energy storage pack, and adjusts a working state to move to a target position as the mobile charging pile;
the load unit 240 is used for obtaining electric energy from the power supply unit/the energy storage unit;
the microgrid controller 210 is configured to obtain power data of the power supply unit 220, energy storage data of the energy storage unit 230, and load data of the load unit 240 through a front-end processor, and automatically regulate and control working states of the power supply unit 220, the energy storage unit 230, and the load unit 240 through a preset control strategy and a current electricity price.
The microgrid management system provided by the embodiment of the invention can execute the microgrid management method provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method. The details of the above embodiment are not described herein.
The above-described embodiments should not be construed as limiting the scope of the invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made, depending on design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (10)

1. A method for managing a micro-grid is characterized by comprising the following steps:
acquiring power supply data of a power supply unit, energy storage data of an energy storage unit and load data of a load unit through a front-end processor;
acquiring a preset control strategy for micro-grid management;
adjusting the working states of the power supply unit, the energy storage unit and the load unit according to the preset control strategy; the energy storage unit comprises a mobile energy storage unit and a fixed energy storage unit, the mobile energy storage unit is used for determining whether the mobile energy storage unit is used as an energy storage pack or a mobile charging pile according to the preset control strategy, the mobile energy storage unit is connected with other equipment of the energy storage unit when being used as the energy storage pack, and the mobile charging pile is used for adjusting the working state to move to a target position when being used as the mobile charging pile;
and acquiring the current electricity price, and automatically regulating and controlling the working states of the power supply unit, the energy storage unit and the load unit according to the electricity price.
2. The method of claim 1, wherein the power supply unit comprises a power generation unit and a power grid, the power generation unit comprising: the system comprises a photovoltaic power generation device, a wind power generation device and a generator;
the mobile energy storage unit is a mobile charging vehicle, and the fixed energy storage unit is an energy storage battery;
the load unit comprises a charging load unit and a daily load unit, and the charging load unit comprises a charging pile.
3. The method of claim 2, wherein the preset control strategy comprises: a station peak clipping strategy and a demand response strategy;
the station peak clipping strategy comprises a transformer overload prevention sub-strategy, a load peak control sub-strategy and an electricity price peak control sub-strategy.
4. The method of claim 3, wherein the adjusting the operating states of the power supply unit, the energy storage unit, and the load unit according to the preset control strategy comprises:
when the preset control strategy is the transformer overload prevention sub-strategy, judging the relation between the transformer load rate of the charging load unit and a first threshold, a second threshold and a third threshold;
when the load rate of the transformer does not exceed the first threshold value, the mobile energy storage unit moves to a target position to charge the target new energy automobile according to the received charging requirement of the target new energy automobile, and the fixed energy storage unit obtains electric energy from the power generation unit to charge;
when the load rate of the transformer exceeds the first threshold value, controlling the energy storage unit to stop charging, and generating power at full power by the power generation unit;
when the transformer load rate exceeds the second threshold, controlling the energy storage unit to discharge at full power and the power generation unit to generate power at full power; the mobile energy storage unit is controlled to move to a preset position to discharge to the microgrid;
when the load rate of the transformer exceeds the third threshold value, the energy storage unit is controlled to discharge at full power, the power generation unit is controlled to generate power at full power, and meanwhile, the load is cut off according to the load grade of the load unit.
5. The method of claim 3, wherein the adjusting the operating states of the power supply unit, the energy storage unit, and the load unit according to the preset control strategy comprises:
when the preset control strategy is the load peak control sub-strategy, acquiring recorded natural monthly load peak data and generating an automatic peak regulation plan;
increasing the generating power/reducing the power load according to the control priority in the peak forecasting period according to the automatic peak regulation plan; wherein, the control priority is as follows in sequence: the power generation power of the power generation unit is increased, the energy storage unit is changed from a charging state to a power generation state, and loads are cut off according to the sequence of the load grades.
6. The method of claim 3, wherein the adjusting the operating states of the power supply unit, the energy storage unit, and the load unit according to the preset control strategy comprises:
when the preset control strategy is the power price peak control sub-strategy, acquiring current power price subsection data;
reducing the electric quantity acquired from the power grid according to the control priority in a high-price period; wherein, the control priority is as follows in sequence: increasing the generating power of the generating unit, changing the charging state of the energy storage unit into a generating state, and cutting off loads according to the sequence of the load grades;
controlling the charging state of the energy storage unit according to the electricity price comparison condition in a low electricity price period; when the electricity price is higher than the internet electricity price, the energy storage unit is controlled to obtain the electric energy from the power generation unit.
7. The method of claim 3, wherein the adjusting the operating states of the power supply unit, the energy storage unit, and the load unit according to the preset control strategy comprises:
when the preset control strategy is the demand response strategy, acquiring a demand response type and a response time period;
calculating the target power and the target duration of response in the response time period according to the target power generation amount of the power generation unit and the energy storage capacity of the energy storage unit;
and controlling the power supply unit, the energy storage unit and the load unit to execute demand response according to the target power and the target duration.
8. The method according to claim 3, wherein the obtaining of the current electricity price and the automatically regulating and controlling the operating states of the power supply unit, the energy storage unit and the load unit according to the electricity price comprise:
acquiring the current electricity price, the internet electricity price and the working states of the power supply unit and the load unit;
and when the current electricity price is less than the on-line electricity price and the power generation power of the power generation unit is greater than the load of the load unit, discharging the electric energy of the energy storage unit to the power grid to obtain a power generation subsidy.
9. The method according to claim 1, further comprising, after the obtaining the current electricity price and automatically adjusting and controlling the operating states of the power supply unit, the energy storage unit and the load unit according to the electricity price, the steps of:
and transmitting the power supply data, the energy storage data and the load data to a management platform in real time for displaying.
10. A microgrid management system, comprising: the system comprises a microgrid controller, a power supply unit, an energy storage unit and a load unit;
the power supply unit includes a power generation unit and a power grid, the power generation unit includes: the power supply unit is used for providing electric energy for the microgrid management system;
the energy storage unit is used for acquiring electric energy from the power supply unit for storage and discharging to the load unit and/or the power grid according to the instruction of the microgrid controller; the energy storage unit comprises a mobile energy storage unit and a fixed energy storage unit, the mobile energy storage unit is used for determining whether the mobile energy storage unit is used as an energy storage pack or a mobile charging pile according to an instruction of the microgrid controller, the mobile energy storage unit is connected with other equipment of the energy storage unit as the energy storage pack, and the mobile charging pile is used for adjusting the working state to move to a target position;
the load unit is used for acquiring electric energy from the power supply unit/the energy storage unit;
the microgrid controller is used for acquiring power data of a power supply unit, energy storage data of an energy storage unit and load data of a load unit through a front-end processor, and automatically regulating and controlling the working states of the power supply unit, the energy storage unit and the load unit through a preset control strategy and the current electricity price.
CN202210637721.8A 2022-06-08 2022-06-08 Micro-grid management method and system Active CN114726001B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202210637721.8A CN114726001B (en) 2022-06-08 2022-06-08 Micro-grid management method and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210637721.8A CN114726001B (en) 2022-06-08 2022-06-08 Micro-grid management method and system

Publications (2)

Publication Number Publication Date
CN114726001A true CN114726001A (en) 2022-07-08
CN114726001B CN114726001B (en) 2022-09-16

Family

ID=82232631

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202210637721.8A Active CN114726001B (en) 2022-06-08 2022-06-08 Micro-grid management method and system

Country Status (1)

Country Link
CN (1) CN114726001B (en)

Citations (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104283308A (en) * 2013-07-10 2015-01-14 北京中电建投微电网科技有限公司 Smart central strategy control system for micro-grid
CN105576809A (en) * 2016-03-08 2016-05-11 中国矿业大学 Bidirectional charging pile system based on wind-solar-diesel-storage energy microgrid
CN105608635A (en) * 2015-11-18 2016-05-25 深圳合纵能源技术有限公司 Economical scheduling system and method for regional power grid based on peak and valley electricity prices
CN106505560A (en) * 2016-11-28 2017-03-15 无锡智合电力技术有限公司 A kind of network optimization operation method of many policy co-ordinations based on response priority
CN107578182A (en) * 2017-09-16 2018-01-12 兰州理工大学 Micro-grid operational control method is stored up based on light under Demand Side Response
CN107769235A (en) * 2017-09-29 2018-03-06 国网上海市电力公司 A kind of microgrid energy management method based on hybrid energy-storing and electric automobile
WO2018103232A1 (en) * 2016-12-08 2018-06-14 中山大洋电机股份有限公司 Control method for new energy micro-grid electric vehicle charging station
CN108767896A (en) * 2018-06-11 2018-11-06 中国科学院电工研究所 A kind of control method for coordinating of light storage charging system
CN108803524A (en) * 2018-06-28 2018-11-13 烟台东方能源科技有限公司 A kind of industrial equipment control strategy based on Production Scheduling orderly function
CN109842139A (en) * 2019-02-26 2019-06-04 东南大学 A kind of micro-capacitance sensor Expansion Planning method containing mobile energy storage
CN110649641A (en) * 2019-09-29 2020-01-03 国网山东省电力公司德州供电公司 Electric automobile quick charging station energy storage system and method based on source network charge storage cooperative service
CN110880759A (en) * 2019-11-25 2020-03-13 合肥阳光新能源科技有限公司 Energy management method and system of light storage micro-grid based on real-time electricity price mechanism
CN112510729A (en) * 2020-11-30 2021-03-16 国网北京市电力公司 Control method and control device of power station regulation and control system and power station control system
CN112801447A (en) * 2020-12-22 2021-05-14 北京新能源汽车技术创新中心有限公司 Intelligent charging network system and electric vehicle charging scheduling method based on same
CN114243773A (en) * 2021-12-16 2022-03-25 南京瀚元科技有限公司 Light storage and charging cooperation method of dynamic control strategy

Patent Citations (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104283308A (en) * 2013-07-10 2015-01-14 北京中电建投微电网科技有限公司 Smart central strategy control system for micro-grid
CN105608635A (en) * 2015-11-18 2016-05-25 深圳合纵能源技术有限公司 Economical scheduling system and method for regional power grid based on peak and valley electricity prices
CN105576809A (en) * 2016-03-08 2016-05-11 中国矿业大学 Bidirectional charging pile system based on wind-solar-diesel-storage energy microgrid
CN106505560A (en) * 2016-11-28 2017-03-15 无锡智合电力技术有限公司 A kind of network optimization operation method of many policy co-ordinations based on response priority
WO2018103232A1 (en) * 2016-12-08 2018-06-14 中山大洋电机股份有限公司 Control method for new energy micro-grid electric vehicle charging station
CN107578182A (en) * 2017-09-16 2018-01-12 兰州理工大学 Micro-grid operational control method is stored up based on light under Demand Side Response
CN107769235A (en) * 2017-09-29 2018-03-06 国网上海市电力公司 A kind of microgrid energy management method based on hybrid energy-storing and electric automobile
CN108767896A (en) * 2018-06-11 2018-11-06 中国科学院电工研究所 A kind of control method for coordinating of light storage charging system
CN108803524A (en) * 2018-06-28 2018-11-13 烟台东方能源科技有限公司 A kind of industrial equipment control strategy based on Production Scheduling orderly function
CN109842139A (en) * 2019-02-26 2019-06-04 东南大学 A kind of micro-capacitance sensor Expansion Planning method containing mobile energy storage
CN110649641A (en) * 2019-09-29 2020-01-03 国网山东省电力公司德州供电公司 Electric automobile quick charging station energy storage system and method based on source network charge storage cooperative service
CN110880759A (en) * 2019-11-25 2020-03-13 合肥阳光新能源科技有限公司 Energy management method and system of light storage micro-grid based on real-time electricity price mechanism
CN112510729A (en) * 2020-11-30 2021-03-16 国网北京市电力公司 Control method and control device of power station regulation and control system and power station control system
CN112801447A (en) * 2020-12-22 2021-05-14 北京新能源汽车技术创新中心有限公司 Intelligent charging network system and electric vehicle charging scheduling method based on same
CN114243773A (en) * 2021-12-16 2022-03-25 南京瀚元科技有限公司 Light storage and charging cooperation method of dynamic control strategy

Non-Patent Citations (5)

* Cited by examiner, † Cited by third party
Title
HU JIDONG;ETAL.: "Coordination Control Strategy for Multi-mode Photovoltaic and Energy Storage DC Micro-Grid", 《2021 6TH ASIA CONFERENCE ON POWER AND ELECTRICAL ENGINEERING (ACPEE)》 *
JUN ZHOU,ETAL.: "A Distributed Control Framework for Improving the Transient Response Speed of Cluster Grid-Connected Battery Energy Storage Systems", 《2021 IEEE 4TH INTERNATIONAL ELECTRICAL AND ENERGY CONFERENCE (CIEEC)》 *
SHUANGYIN DAI;ETAL.: "Coordinated control of PV Generation System with Energy Storage Devices in isolated micro-grid", 《2014 CHINA INTERNATIONAL CONFERENCE ON ELECTRICITY DISTRIBUTION (CICED)》 *
施泉生等: "基于优先级排序的用户侧电网调峰机制", 《科学技术与工程》 *
杨晓东等: "含高渗透率光伏发电并网型微网中的电动汽车优化调度方法", 《电力系统自动化》 *

Also Published As

Publication number Publication date
CN114726001B (en) 2022-09-16

Similar Documents

Publication Publication Date Title
KR101528079B1 (en) Battery exchange station and operating method for battery exchange station
CN110601334B (en) Charging station and energy dispatching management method thereof
CN107069786B (en) System and method for improving wind power consumption
CN110112783A (en) Photovoltaic storage battery micro-capacitance sensor dispatch control method
JP2012115003A (en) Control device and control method
CN102347620A (en) Micro grid control method
CN109873452B (en) Off-network state electric quantity control system of energy Internet
CN111384719A (en) Peak clipping and valley filling optimized scheduling method for distributed energy storage power station during photovoltaic grid connection
JP2023138478A (en) Method of controlling battery energy storage system of electric power system with high dynamic load
CN111231713A (en) Electric automobile charging and discharging system and control method
CN215419614U (en) Household solar distributed photovoltaic grid-connected power generation system based on demand side load
CN116961204A (en) Intelligent photovoltaic commercial power hybrid energy-saving charging control method
CN115459286B (en) Intelligent charging/discharging micro-grid system based on cell level and control method
CN109830992B (en) Self-adaptive adjustment energy scheduling control method, device and system
CN102097820A (en) Solar peak and valley power regulating system
CN114726001B (en) Micro-grid management method and system
CN107359636B (en) Charging system
CN116187702A (en) Source network and charge storage collaborative interaction optimization scheduling system
CN112736950B (en) Public energy storage power station configuration method and system for micro-grid group
CN110768274B (en) Power control method and device for isolated microgrid
CN108390409A (en) The forest zone microgrid energy management control method of biomass energy and solar energy complementation
CN113629758A (en) Multi-energy grid-connected operation control method and system
CN112217270A (en) Container energy storage equipment using lithium battery
CN108377001B (en) Photovoltaic energy storage system and method for peak clipping and valley filling of electricity consumption
JP2017127129A (en) Storage battery control method

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
TR01 Transfer of patent right
TR01 Transfer of patent right

Effective date of registration: 20230801

Address after: 610, Floor 6, Block A, No. 2, Lize Middle Second Road, Chaoyang District, Beijing 100102

Patentee after: Zhongguancun Technology Leasing Co.,Ltd.

Address before: 310052 room 3015, floor 3, building a, No. 482 Qianmo Road, Xixing street, Binjiang District, Hangzhou, Zhejiang Province

Patentee before: Shitu Technology (Hangzhou) Co.,Ltd.