CN114678874A - Method and system for flexible load aggregator to participate in power grid control simulation - Google Patents

Method and system for flexible load aggregator to participate in power grid control simulation Download PDF

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Publication number
CN114678874A
CN114678874A CN202210354377.1A CN202210354377A CN114678874A CN 114678874 A CN114678874 A CN 114678874A CN 202210354377 A CN202210354377 A CN 202210354377A CN 114678874 A CN114678874 A CN 114678874A
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power
load
distribution network
adjustable
flexible
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Inventor
吴世伟
纪陵
蒋衍君
刘文彪
李靖霞
张晓瑞
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Guodian Nanjing Automation Software Engineering Co
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Guodian Nanjing Automation Software Engineering Co
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    • 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
    • H02J3/12Circuit 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
    • H02J3/24Arrangements for preventing or reducing oscillations of power in 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
    • H02J3/26Arrangements for eliminating or reducing asymmetry in polyphase 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
    • 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
    • H02J3/46Controlling of the sharing of output between the generators, converters, or transformers
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • 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

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Supply And Distribution Of Alternating Current (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses a method and a system for a flexible load aggregator to participate in power grid control simulation in the technical field of power grid simulation control, wherein a model main body of a power distribution network simulation system comprises a flexible load, and the simulation method comprises the following steps: selecting a power distribution network power flow balance data section containing a flexible load; selecting power generation curves of the photovoltaic station and the wind power plant on a given day, converting and extracting output data of the photovoltaic station and the wind power plant corresponding to the simulation current moment, periodically adjusting the output of the photovoltaic station and the wind power plant, and performing whole-network tide distribution by a power distribution network simulation system; setting user side flexible load data and judging the current adjustable potential of the flexible load; adjusting adjustable resources including flexible loads according to the adjustable potential to absorb new energy for power generation and perform power grid peak load shifting control, and then performing load flow rebalancing by the power distribution network simulation system; the invention can carry out fine simulation regulation and control on a single adjustable load, and is convenient to consider the effect of adjustable resource participation aggregation regulation from the perspective of a power grid.

Description

Method and system for flexible load aggregator to participate in power grid control simulation
Technical Field
The invention belongs to the technical field of power grid simulation control, and particularly relates to a method and a system for a flexible load aggregator to participate in power grid control simulation.
Background
The flexible load aggregator aggregates different types of user-side adjustable resources such as an energy storage system, an air conditioner and an electric vehicle, realizes coordinated operation of a plurality of distributed resources, meets the demand and supply balance of a power grid, and is beneficial to reasonable allocation and utilization of the resources. The current technical development of communication, physical information systems and the like provides necessary conditions for load aggregators and aggregation control of virtual power plants. Currently, flexible loads are mostly performed on the level of parks and buildings in participation of power grid regulation, and further research is needed to realize automatic fine regulation of a single adjustable load. The quantity of the adjustable resources and the quantity of the information points are larger and larger in the future, the influence of the adjustable resources on a power grid dispatching operation system is more obvious, and an effective control simulation method and an effective control simulation system are required to support the influence.
Disclosure of Invention
In order to solve the defects in the prior art, the invention provides a method and a system for controlling and simulating a power grid by a flexible load aggregator, which can perform fine simulation regulation and control on a single adjustable load and facilitate the effect of the adjustable resource participation aggregation regulation from the perspective of the power grid.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows: in a first aspect, a flexible load aggregator participation power grid control simulation method is provided, a model main body of a power distribution network simulation system comprises a photovoltaic station, a wind power plant, a conventional thermal power plant, a conventional load and a flexible load, and the simulation method comprises the following steps: the power distribution network simulation system selects a power distribution network power flow balance data section containing flexible loads; selecting power generation curves of specified days of a photovoltaic station and a wind power plant according to the power distribution network tidal current balance data section, converting according to the installed capacity of the current station, extracting output data of the photovoltaic station and the wind power plant corresponding to the current time point, periodically adjusting the output of the photovoltaic station and the wind power plant, and performing whole network tidal current distribution by a power distribution network simulation system; after the whole network power flow is distributed, simulating and setting user side flexible load data, and judging the current adjustable potential of the flexible load; adjusting adjustable resources including flexible loads according to the adjustable potential to absorb new energy power generation, and then carrying out load flow rebalancing on the power distribution network simulation system; and adjusting adjustable resources including flexible loads according to the adjustable potential to perform power grid peak load shifting control, and then performing load flow rebalancing on the power distribution network simulation system.
Further, the flexible load comprises an energy storage system, an electric automobile and an air conditioner.
Further, the adjustable resources including the flexible load include starting the energy storage system for charging, starting the electric vehicle for charging, starting the energy storage system for discharging, stopping the air conditioning load, and stopping the electric vehicle for charging.
Further, the tunable potential includes an energy storage system tunable potential, an air conditioner tunable potential, and an electric vehicle tunable potential, wherein: the adjustable potential of the energy storage system is calculated by the difference between rated power and current power; the adjustable potential of the air conditioner is calculated by multiplying the current on-off state determined by the human body comfort level range by the rated power; the adjustable potential of the electric vehicle is calculated by multiplying the charging state by the charging power.
In a second aspect, a flexible load aggregator participation power grid control simulation system is provided, a model main body of the power distribution network simulation system comprises a photovoltaic station, a wind power plant, a conventional thermal power plant, a conventional load and a flexible load, and the simulation system comprises: the data selection module is used for selecting a power distribution network power flow balance data section containing a flexible load by the power distribution network simulation system; the whole-network tidal current distribution module is used for selecting power generation curves of specified days of the photovoltaic station and the wind power plant according to the tidal current balance data section of the power distribution network, converting the power generation curves according to the installed capacity of the current station, extracting output data of the photovoltaic station and the wind power plant corresponding to the current time point, periodically adjusting the output of the photovoltaic station and the wind power plant and performing whole-network tidal current distribution by the power distribution network simulation system; the user side flexible load setting module is used for setting user side flexible load data after the whole network load flow is distributed and judging the current adjustable potential of the flexible load; the first adjusting module is used for adjusting adjustable resources including flexible loads according to the adjustable potential to absorb new energy power generation, and the power distribution network simulation system performs power flow rebalancing after adjustment; and the second adjusting module is used for adjusting adjustable resources including the flexible load according to the adjustable potential to perform power grid peak load shifting and valley filling control, and the power distribution network simulation system performs power flow rebalancing after adjustment.
Furthermore, a channel between the data selection module, the whole network power flow distribution module, the user side flexible load setting module, the first adjusting module and the second adjusting module is established by taking redis as a data bus for information interaction.
And furthermore, the user-side flexible load data is serialized data and is used for supporting dynamic process simulation of the flexible load, including start-stop states of the air conditioner along with temperature change according to a mathematical model, and charge states of the charging pile and the energy storage system along with time change.
Compared with the prior art, the invention has the following beneficial effects:
(1) according to the method, a power distribution network power flow balance data section containing a flexible load is selected through a power distribution network simulation system; selecting power generation curves of specified days of a photovoltaic station and a wind power plant according to the power distribution network tidal current balance data section, converting according to the installed capacity of the current station, extracting output data of the photovoltaic station and the wind power plant corresponding to the current time point, periodically adjusting the output of the photovoltaic station and the wind power plant, and performing whole network tidal current distribution by a power distribution network simulation system; setting user side flexible load data and judging the current adjustable potential of the flexible load; adjusting adjustable resources including flexible loads according to the adjustable potential to absorb new energy power generation, and then carrying out load flow rebalancing on the power distribution network simulation system; adjusting adjustable resources including flexible loads according to the adjustable potential to perform power grid peak load shifting control, and performing load flow rebalancing by the power distribution network simulation system after adjustment; the method can perform fine simulation regulation and control on a single adjustable load, and is convenient for considering the effect of adjustable resource participation aggregation regulation from the perspective of a power grid;
(2) the invention supports the extension of the substation system by connecting a plurality of subsystems through the data bus, enlarges the quantity of the resource data points accessed by the substation, and realizes the automatic regulation and control extending to a single adjustable resource; the system covers the whole process from station end monitoring to power distribution network flow balance, and the adjustable resource participation aggregation adjustment effect is convenient to consider from the perspective of a power grid; the latest WEB and APP technology applications are butted, so that the use by a user is facilitated; the dynamic characteristic of the adjustable resources is simulated, the conditions of the adjustable resource change and the power grid load flow change in the adjustment process of the flexible load aggregator are displayed, and the research on the control strategy effect is facilitated; and support is provided for the flexible load aggregator to aggregate regulation and control of the adjustable load resources.
Drawings
Fig. 1 is a system module structure and data interaction diagram of a flexible load aggregator participating in a power grid control simulation system according to an embodiment of the present invention;
fig. 2 is a data flow diagram of a system data bus interaction of a flexible load aggregator participating in a power grid control simulation system according to an embodiment of the present invention;
fig. 3 is a structural diagram of a flexible load aggregator control simulation system according to an embodiment of the present invention.
Detailed Description
The invention is further described below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
The first embodiment is as follows:
a flexible load aggregator participates in a power grid control simulation method, a model main body of a power distribution network simulation system comprises a photovoltaic station, a wind power plant, a conventional thermal power plant, a conventional load and a flexible load, and the simulation method comprises the following steps: the power distribution network simulation system selects a power distribution network power flow balance data section containing flexible loads; selecting power generation curves of specified days of a photovoltaic station and a wind power plant according to the power distribution network tidal current balance data section, converting according to the installed capacity of the current station, extracting output data of the photovoltaic station and the wind power plant corresponding to the current time point, periodically adjusting the output of the photovoltaic station and the wind power plant, and performing whole network tidal current distribution by a power distribution network simulation system; after the whole network power flow is distributed, simulating and setting user side flexible load data, and judging the current adjustable potential of the flexible load; adjusting adjustable resources including flexible loads according to the adjustable potential to absorb new energy power generation, and then carrying out load flow rebalancing on the power distribution network simulation system; and adjusting adjustable resources including flexible loads according to the adjustable potential to perform power grid peak load shifting control, and then performing load flow rebalancing on the power distribution network simulation system.
In this embodiment, the flexible load includes an energy storage system, an electric vehicle, and an air conditioner. The adjustable resources including the flexible load comprise starting the energy storage system for charging, starting the electric vehicle for charging, starting the energy storage system for discharging, stopping the air conditioning load and stopping the electric vehicle for charging. The adjustable potential comprises an energy storage system adjustable potential, an air conditioner adjustable potential and an electric automobile adjustable potential, wherein: the adjustable potential of the energy storage system is calculated by the difference between rated power and current power; the adjustable potential of the air conditioner is calculated by multiplying the current on-off state determined by the human body comfort level range by the rated power; the adjustable potential of the electric vehicle is calculated by multiplying the charging state by the charging power.
According to the method, a power distribution network power flow balance data section containing a flexible load is selected through a power distribution network simulation system; selecting power generation curves of specified days of a photovoltaic station and a wind power plant according to the power distribution network tidal current balance data section, converting according to the installed capacity of the current station, extracting output data of the photovoltaic station and the wind power plant corresponding to the current time point, periodically adjusting the output of the photovoltaic station and the wind power plant, and performing whole network tidal current distribution by a power distribution network simulation system; setting user side flexible load data and judging the current adjustable potential of the flexible load; adjusting adjustable resources including flexible loads according to the adjustable potential to absorb new energy power generation, and then carrying out load flow rebalancing on the power distribution network simulation system; adjusting adjustable resources including flexible loads according to the adjustable potential to perform power grid peak load shifting control, and performing load flow rebalancing by the power distribution network simulation system after adjustment; the method can perform fine simulation regulation and control on a single adjustable load, and is convenient to consider the effect of the adjustable resources participating in the aggregation regulation from the perspective of a power grid.
Example two:
based on the method for flexible load aggregator to participate in power grid control simulation in the first embodiment, the first embodiment provides a flexible load aggregator to participate in power grid control simulation system, a model main body of a power distribution network simulation system comprises a photovoltaic station, a wind power plant, a conventional thermal power plant, a conventional load and a flexible load, and the simulation system comprises: the data selection module is used for selecting a power distribution network power flow balance data section containing a flexible load by the power distribution network simulation system; the whole-network tidal current distribution module is used for selecting power generation curves of specified days of the photovoltaic station and the wind power plant according to the tidal current balance data section of the power distribution network, converting the power generation curves according to the installed capacity of the current station, extracting output data of the photovoltaic station and the wind power plant corresponding to the current time point, periodically adjusting the output of the photovoltaic station and the wind power plant and performing whole-network tidal current distribution by the power distribution network simulation system; the user side flexible load setting module is used for setting user side flexible load data after the whole network load flow is distributed and judging the current adjustable potential of the flexible load; the first adjusting module is used for adjusting adjustable resources including flexible loads according to the adjustable potential to absorb new energy power generation, and the power distribution network simulation system performs power flow rebalancing after adjustment; and the second adjusting module is used for adjusting adjustable resources including the flexible load according to the adjustable potential to perform power grid peak load shifting and valley filling control, and the power distribution network simulation system performs power flow rebalancing after adjustment.
As shown in fig. 1 to 3, the power grid control simulation system participated by flexible load aggregators comprises a power distribution network simulation system (including a data selection module and a whole power flow distribution module), a monitoring system, a Web system, a simulation tool (including a user side flexible load setting module part function), an adjustable potential calculation module (including a user side flexible load setting module part function), a control module (including a first regulation module and a second regulation module), an interconnection data bus among systems and the like, and is characterized in that a model main body of the power distribution network simulation system comprises a photovoltaic station, a wind power generation field, a conventional thermal power plant, a conventional load, an energy storage system, an electric vehicle, an air conditioner and the like. The use steps are as follows:
1) the power distribution network simulation system selects a power distribution network flow balance data section and supports adjustable resource processing and adjustment.
2) The simulation tool selects 96 point power generation curves of a photovoltaic station and a wind power plant on a typical day, converts the curves according to the installed capacity of the current station, extracts photovoltaic and wind power generation output data corresponding to the current time point, periodically adjusts the photovoltaic and wind power generation output, and performs whole-network tide distribution by a power distribution network simulation system.
3) The simulation tool sets data such as current baseline data of user-side adjustable resources, daily trip plans of the electric automobile, outdoor temperature curves and the like, the adjustable potential calculation module judges the charging and discharging states of the energy storage system, the charging state of the electric automobile and the starting and stopping states of the air conditioner, and the current adjustable potential is refreshed.
4) The control module adjusts the adjustable resources to consume the new energy for power generation according to the adjustable potential, the adjusting strategy comprises the steps of starting the energy storage system for charging, starting the electric automobile for charging, and then the simulation system carries out trend rebalancing.
5) The control module adjusts adjustable resources according to the adjustable potential to perform power grid peak load shifting control, and starts an energy storage system to discharge, stops air conditioner load, stops electric automobile charging and the like in the peak period of power utilization; and in the power consumption valley period, starting the energy storage system to charge, starting the electric automobile to charge and the like, and then carrying out the tide rebalancing by the simulation system.
The power distribution network simulation system comprises a regional power grid, a power distribution network model and load resources distributed on nodes of the power distribution network, and power flow changes of the power distribution network can be observed when flexible loads are regulated and controlled. The monitoring system comprises data modeling, load electricity utilization information acquisition, storage, analysis, monitoring control and high-level application. The Web system comprises a large screen, an APP, a PC and the like, and outputs display information, and interacts with user information, and all parties involved in flexible load resource regulation and control can check information such as power utilization information, regulation times and regulation income information, adjustable potential, regulation and control process, regulation and control execution condition and the like.
Each subsystem takes redis as a data bus to exchange information, and establishes channels among a power distribution network simulation system, a load monitoring system SCADA, a Web system, a simulation tool, an adjustable potential calculation module and a control module, namely, channels among a data selection module, a whole network load flow distribution module, a user side flexible load setting module, a first regulation module and a second regulation module.
Scene one: as shown in fig. 2, the interactive data flow of the power distribution network simulation system is as follows: 1) the power distribution network simulation system sends data TO a monitoring system, such as call wire trend information and the like, through a process of (adopting a REDIS subscription and release mechanism, releasing the data TO a specified channel REDIS _ CMD _ SIMU _ TO _ MONITOR, and receiving the data); 2) in the process of load regulation and control, the power distribution network simulation system interacts with the monitoring system through the process of (III), (IV), (⑪), (the power distribution network simulation system sends a command through a specified channel REDIS _ CMD _ SIMU _ TO _ MONITOR, the interface program receives the command and sends the command TO the control module through the channel REDIS _ CMD _ RE _ CTL, the control module executes the command and returns a RESULT, the command is sent TO the interface program through the channel REDIS _ CMD _ RE _ CTL _ RESULT, and the interface program is sent TO the power distribution network simulation system through the channel REDIS _ CMD _ MONITOR _ TO _ SIMU).
And in a second scenario, the monitoring system and the Web decompose the target value after receiving the adjusting instruction and send the target value to the flexible load, and simultaneously, the load measurement value is sent to a data flow of the power distribution network simulation system: 1) the power distribution network simulation system pushes the information TO the Web through a process (the power distribution network simulation system sends an instruction TO an interface program through a specified channel REDIS _ CMD _ SIMU _ TO _ MONITOR, and the interface program is sent TO the Web through the REDIS _ CMD _ MON _ TO _ WEB); 2) When a Web system initiates regulation and control of individual loads, interaction between the Web system and a monitoring system and a power distribution network simulation system is realized through processes of data stream R (C)/(R ⑪ R & R (R) + R (R) ⑭ (Web instructions are sent TO a control module through a channel REDIS _ CMD _ RE _ CTL, RESULTs after execution of the control module are sent TO an interface program through REDIS _ CMD _ RE _ CTL _ RESULT, and then are sent TO the power distribution network simulation system through REDIS _ CMD _ MONITOR _ TO _ SIMU; or the Web instruction is sent to the control module by the channel REDIS _ CMD _ RE _ CTL, and the RESULT after the control module executes is sent to the Web by the channel REDIS _ CMD _ RE _ CTL _ RESULT); 3) the Web checks the distribution network node TO which the load belongs in a coordinated manner through process ⑫ ⑬ ⑪ (the command is sent TO the interface program from the channel REDIS _ CMD _ Web _ TO _ MONITOR by the Web, and the interface program is sent TO the distribution network simulation system through REDIS _ CMD _ MONITOR _ TO _ SIMU).
And a third scenario, monitoring a system data release process: DATA is published from the monitoring system to the Web via ⑮ ⑯ (DATA publication program issued to the Web by the channel REDIS _ SCADA _ DATA _ PUBLISH).
The interactive message adopts a Json format, and the specific examples are as follows:
<data>
< type name = "load Point" >)
< station name = "factory site name" >)
< record i = "load current" p = "load active" q = "load reactive" ID = "1 load ID"/>)
</station>
< station name = "factory site name" >)
< record i = "load current" p = "load active" q = "load reactive" ID = "3 load ID"/>)
</station>
</type>
< type name = "adjustment load" >)
< station name = "factory site name" >)
< record i = "load current" p = "load active" q = "load reactive" ID = "1 load ID"/>)
</station>
</type>
</data>。
The system of the embodiment supports the timed transmission of multiple groups of serialized data, such as photovoltaic and wind power output time sequence data, temperature time sequence data and load time sequence data in peak-valley time periods; the initialization of multiple groups of data, such as flexible load baseline data and the like, is supported; and dynamic process simulation of the flexible load is supported, such as starting and stopping states of the air conditioner along with temperature change according to a mathematical model, and charge states SOC of the charging pile and the energy storage system along with time change.
The system described in this embodiment periodically calculates the refresh current and future schedulable potentials. Calculating the difference between the rated power and the current power when the energy storage system is in the reasonable SOC range; the air conditioner is calculated by multiplying the current on-off state (on is 1 and off is 0) determined by the human comfort range by the rated power; the electric vehicle is calculated by multiplying the state of charge (charge to 1, stop to 0) by the charging power at the SOC limit range.
And after a scheduling regulation and control instruction is received, decomposing a target value according to the adjustable potential of the adjustable resource, distributing and regulating each adjustable resource, monitoring whether the target value of the aggregator is reached, continuously repeating the control process cycle until the end (the total target value is reached or the adjustable potential is 0) to achieve a stable regulation and control result. And transmitting the load measurement value in the adjusting process to a power distribution network simulation system for power balance check. The adjusting process comprises the steps of flexible load adjustable potential calculation, load control and power grid power balance.
The invention supports the extension of the substation system by connecting a plurality of subsystems through the data bus, enlarges the quantity of the resource data points accessed by the substation, and realizes the automatic regulation and control extending to a single adjustable resource; the system covers the whole process from station end monitoring to power distribution network flow balance, and the adjustable resource participation aggregation adjustment effect is convenient to consider from the perspective of a power grid; WEB and APP latest technical application are butted, so that the use by a user is facilitated; the dynamic characteristic of the adjustable resources is simulated, the conditions of the adjustable resource change and the power grid load flow change in the adjustment process of the flexible load aggregator are displayed, and the research on the control strategy effect is facilitated; and support is provided for the flexible load aggregator to aggregate regulation and control of the adjustable load resources.
In this embodiment, the main adjustable load resources include an energy storage system, an electric vehicle, and an air conditioner. For the energy storage system, the energy storage management system PCS and the battery management system MBS are matched, and the monitoring background is accessed in a modbus mode in a communication mode; for the electric vehicle charging pile, a monitoring background is accessed through a communication protocol (no standard protocol exists at present); for the air conditioner, the lora sensor and the server can be additionally arranged to communicate in a wireless mode, and finally the monitoring background is accessed by a 104 protocol or a modbus protocol.
The monitoring background substation completes the collection and control of various loads, and the load related data is sent to the power distribution network simulation system, so that the power flow balance on the power grid level is completed. During the regulation and control process, when the peak shifting is simulated, the current adjustable load condition is sent by the simulation program, the adjustable potential calculation module evaluates the adjustable capacity, then the regulation and control program is started, the adjusted load is distributed, and the result is returned to the power distribution network simulation system for displaying. The simulated valley filling process is similar to the process described above.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

Claims (8)

1. A method for a flexible load aggregator to participate in power grid control simulation is characterized in that a model main body of a power distribution network simulation system comprises a photovoltaic station, a wind power plant, a conventional thermal power plant, a conventional load and a flexible load, and the simulation method comprises the following steps:
the power distribution network simulation system selects a power distribution network power flow balance data section containing flexible loads;
selecting power generation curves of specified days of a photovoltaic station and a wind power plant according to the power distribution network tidal current balance data section, converting according to the installed capacity of the current station, extracting output data of the photovoltaic station and the wind power plant corresponding to the current time point, periodically adjusting the output of the photovoltaic station and the wind power plant, and performing whole network tidal current distribution by a power distribution network simulation system;
after the whole network power flow is distributed, simulating and setting user side flexible load data, and judging the current adjustable potential of the flexible load;
adjusting adjustable resources including flexible loads according to the adjustable potential to absorb new energy power generation, and then carrying out load flow rebalancing on the power distribution network simulation system;
and adjusting adjustable resources including flexible loads according to the adjustable potential to perform power grid peak load shifting control, and then performing load flow rebalancing on the power distribution network simulation system after adjustment.
2. The grid control simulation method for flexible load aggregators according to claim 1, wherein the flexible loads comprise electric vehicles, energy storage systems and air conditioners.
3. The grid control simulation method of claim 1, wherein the adjustable resources including flexible loads comprise start energy storage system charging, start electric vehicle charging, start energy storage system discharging, stop air conditioning load, and stop electric vehicle charging.
4. The method of claim 1, wherein the tunable potentials comprise an energy storage system tunable potential, an air conditioner tunable potential, and an electric vehicle tunable potential, wherein:
the adjustable potential of the energy storage system is calculated by the difference between rated power and current power;
the adjustable potential of the air conditioner is calculated by multiplying the current on-off state determined by the human body comfort level range by the rated power;
the adjustable potential of the electric vehicle is calculated by multiplying the charging state by the charging power.
5. The utility model provides a flexible load aggregator participates in electric wire netting control simulation system which characterized in that, the model main part of distribution network simulation system includes photovoltaic station, wind power plant, conventional thermal power plant, conventional load and flexible load, and simulation system includes:
the data selection module is used for selecting a power distribution network power flow balance data section containing a flexible load by the power distribution network simulation system;
the whole-network tidal current distribution module is used for selecting power generation curves of specified days of the photovoltaic station and the wind power plant according to the tidal current balance data section of the power distribution network, converting the power generation curves according to the installed capacity of the current station, extracting output data of the photovoltaic station and the wind power plant corresponding to the current time point, periodically adjusting the output of the photovoltaic station and the wind power plant and performing whole-network tidal current distribution by the power distribution network simulation system;
the user side flexible load setting module is used for simulating and setting user side flexible load data after the whole network power flow distribution and judging the current adjustable potential of the flexible load;
the first adjusting module is used for adjusting adjustable resources including flexible loads according to the adjustable potential to absorb new energy power generation, and the power distribution network simulation system performs power flow rebalancing after adjustment;
and the second adjusting module is used for adjusting adjustable resources including the flexible load according to the adjustable potential to perform power grid peak load shifting and valley filling control, and the power distribution network simulation system performs power flow rebalancing after adjustment.
6. The system of claim 5, wherein redis is used as a data bus for information exchange to establish a channel between the data selection module, the whole network load flow distribution module, the user-side flexible load setting module, the first adjustment module, and the second adjustment module.
7. The system of claim 5, wherein the data of the flexible load at the user side is serialized data for supporting dynamic process simulation of the flexible load, including start and stop states of the air conditioner according to a mathematical model with changes in air temperature, and charge states of the charging pile and the energy storage system with changes in time.
8. The flexible load aggregator participating grid control simulation system according to claim 5, wherein the tunable potentials comprise energy storage system tunable potential, air conditioner tunable potential and electric vehicle tunable potential, wherein:
the adjustable potential of the energy storage system is calculated by the difference between rated power and current power;
the adjustable potential of the air conditioner is calculated by multiplying the current on-off state determined by the human body comfort level range by the rated power;
the tunable potential of the electric vehicle is calculated by multiplying the charging state by the charging power.
CN202210354377.1A 2022-04-06 2022-04-06 Method and system for flexible load aggregator to participate in power grid control simulation Pending CN114678874A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115545579A (en) * 2022-12-01 2022-12-30 国网浙江义乌市供电有限公司 Aggregation intelligent control method and system for user flexible resources

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115545579A (en) * 2022-12-01 2022-12-30 国网浙江义乌市供电有限公司 Aggregation intelligent control method and system for user flexible resources
CN115545579B (en) * 2022-12-01 2023-04-07 国网浙江义乌市供电有限公司 Aggregation intelligent control method and system for user flexible resources

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