CN109256863B - Micro-grid energy control method and micro-grid system - Google Patents

Micro-grid energy control method and micro-grid system Download PDF

Info

Publication number
CN109256863B
CN109256863B CN201811245484.0A CN201811245484A CN109256863B CN 109256863 B CN109256863 B CN 109256863B CN 201811245484 A CN201811245484 A CN 201811245484A CN 109256863 B CN109256863 B CN 109256863B
Authority
CN
China
Prior art keywords
energy
controller
regional
data
central
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201811245484.0A
Other languages
Chinese (zh)
Other versions
CN109256863A (en
Inventor
陈聪鹏
张孝山
曾春保
陈海森
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.)
Xiamen Kehua Hengsheng Co Ltd
Zhangzhou Kehua Technology Co Ltd
Original Assignee
Xiamen Kehua Hengsheng Co Ltd
Zhangzhou Kehua Technology 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 Xiamen Kehua Hengsheng Co Ltd, Zhangzhou Kehua Technology Co Ltd filed Critical Xiamen Kehua Hengsheng Co Ltd
Priority to CN201811245484.0A priority Critical patent/CN109256863B/en
Publication of CN109256863A publication Critical patent/CN109256863A/en
Application granted granted Critical
Publication of CN109256863B publication Critical patent/CN109256863B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00006Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
    • H02J13/00019Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment using optical means

Abstract

The application provides a micro-grid energy control method and a micro-grid system, which are used for separating a control flow and a data flow of the micro-grid system so as to improve the stability and the real-time performance of energy control of the micro-grid system. The method in the embodiment of the application comprises the following steps: the method comprises the steps that a regional energy controller obtains equipment operation data of intelligent equipment in a region and strategy data related to energy control; the regional energy controller sends the equipment operation data to the energy management monitor and sends strategy data related to energy control to the central energy controller; the central energy controller receives strategy data related to energy control of each regional energy controller; the central energy controller generates an energy control instruction of each regional energy controller according to the strategy data related to energy control; the central energy controller sends the energy control instruction to the corresponding regional energy controller; and the regional energy controller receives the corresponding energy control instruction and adjusts the energy of the intelligent equipment according to the energy control instruction.

Description

Micro-grid energy control method and micro-grid system
Technical Field
The application relates to the field of energy sources, in particular to a micro-grid energy control method and a micro-grid system.
Background
With the prominence of global energy and environmental problems, renewable energy sources such as wind energy, solar energy and the like are greatly developed. The micro-grid is a small power generation and distribution system formed by collecting a distributed power supply, an energy storage device, an energy conversion device and related loads and monitoring and protecting devices. The power supply in the micro-grid is mostly a distributed power supply with small capacity, namely a small unit with a power electronic interface, and comprises a micro gas turbine, a fuel cell, a photovoltaic cell, a small wind generating set, a super capacitor, a flywheel, a storage battery and other energy storage devices. They are connected to user side, and have the characteristics of low cost, low voltage, small pollution and the like. The micro-grid has flexible operation characteristics, can be operated in a grid-connected mode or a grid-disconnected mode, and can meet the electric energy and heat energy requirements of local users at the same time. The micro-grid improves the power supply reliability of the distributed power generation system, realizes the integrated operation of a distributed power supply and a load, reduces the pollution emission of the system, and becomes an important component in the construction of a smart grid.
In order to ensure efficient and stable operation of the microgrid, the microgrid is usually subjected to energy control and automatic scheduling decisions by an Energy Management System (EMS). The EMS monitors intelligent devices in the microgrid through an energy controller, and the intelligent devices refer to a Power Conversion System (PCS), a Battery Manager (BMS), and the like in the microgrid. In the current microgrid energy control method, manufacturers at home and abroad mostly adopt a centralized or decentralized control mode, wherein the centralized control mode is that intelligent equipment is monitored by a controller; the distributed control mode is to monitor the intelligent equipment in each area through a plurality of area controllers.
However, if too many intelligent devices are accessed in the centralized control mode, the information to be monitored will increase, the information processing capacity of the existing controller is limited, and the problem of expansion of installed capacity cannot be met; although the distributed control method can solve the problem of expansion of installed capacity, the transmission of control instructions is delayed due to the node dispersion of the zone controller, which causes poor real-time performance and unstable control.
Disclosure of Invention
The application provides a micro-grid energy control method and a micro-grid system, wherein a control flow and a data flow of the micro-grid system are separated through a double-optical-fiber ring network and a central energy controller and a regional energy controller of master-slave dual-computer hot standby, so that the stability and the real-time performance of energy control of the micro-grid system are improved.
The application provides a microgrid energy control method, which is applied to a microgrid system, wherein the microgrid system comprises an energy management monitor, a central energy controller and at least one regional energy controller, the central energy controller and the regional energy controllers are master-slave dual-machine hot standby, the central energy controller comprises a master central controller and a slave central controller, the regional energy controllers comprise a master regional controller and a slave regional controller, the master central controller and the master regional controller are connected into a master optical fiber ring network, the slave central controller and the slave regional controller are connected into a slave optical fiber ring network, the master optical fiber ring network and the slave optical fiber ring network are connected with the energy management monitor, and the method comprises the following steps:
the regional energy controller acquires equipment operation data of intelligent equipment in a region and strategy data related to energy control;
the regional energy controller sends the equipment operation data to the energy management monitor and sends the strategy data related to the energy control to the central energy controller;
said central energy controller receiving said energy control related policy data for each of said regional energy controllers;
the central energy controller generates an energy control instruction of each regional energy controller according to the strategy data related to the energy control;
the central energy controller sends the energy control instruction to the corresponding regional energy controller;
and the regional energy controller receives the corresponding energy control instruction and adjusts the energy of the intelligent equipment according to the energy control instruction.
With reference to the first aspect of the present application, in a first implementation manner of the first aspect, the generating, by the central energy controller, an energy control instruction of each of the regional energy controllers according to the policy data related to the energy control includes:
the central energy controller acquires energy dispatching plan data;
the central energy controller determines energy distribution adjustment data of each regional energy controller according to the energy scheduling plan data and the strategy data related to the energy control;
and the central energy controller generates an energy control instruction of each regional energy controller according to the energy distribution adjustment data.
With reference to the first aspect of the first embodiment of the present application, in a second embodiment of the first aspect, the sending, by the central energy controller, the energy control command to the corresponding regional energy controller includes:
and the central energy controller sends the energy control instruction to the corresponding regional energy controller in a parallel mode.
With reference to the second implementation manner of the first aspect of the present application, in a third implementation manner of the first aspect, after the receiving, by the area energy controller, the corresponding energy control instruction and performing energy adjustment on the smart device according to the energy control instruction, the method further includes:
the regional energy controller acquires strategy data related to energy control after the intelligent equipment performs energy adjustment;
and the regional energy controller transmits the strategy data related to the energy control after the energy adjustment to the central energy controller.
With reference to the first aspect, the first implementation manner, the second implementation manner, or the third implementation manner of the present application, in a fourth implementation manner of the first aspect, the microgrid system further includes at least one unit collector, the unit collector is a master-slave dual-machine hot standby device, the unit collector includes a master collector and a slave collector, the master collector is connected with the master area controller, the slave collector is connected with the slave area controller,
the method for acquiring the equipment operation data and the energy control related strategy data of the intelligent equipment in the area by the area energy controller comprises the following steps:
the unit collector collects equipment operation data of intelligent equipment in the area of the area controller, wherein the equipment operation data comprises energy data;
the unit collector sends the equipment operation data to the regional energy controller;
and the regional energy controller receives the equipment operation data sent by the unit collector and determines strategy data related to energy control according to the energy data.
A second aspect of the present application provides a microgrid system comprising:
the system comprises an energy management monitor, a central energy controller and at least one regional energy controller;
the central energy controller and the regional energy controllers are master-slave dual-machine hot standby, the central energy controller comprises a master central controller and a slave central controller, the regional energy controllers comprise a master regional controller and a slave regional controller, the master central controller and the master regional controller are connected to a master backbone network, the slave central controller and the slave regional controller are connected to a slave backbone network, and the master backbone network and the slave backbone network are connected with the energy management monitor;
the regional energy controller is used for acquiring equipment operation data of intelligent equipment in a region and strategy data related to energy control;
the regional energy controller is further configured to send the device operation data to the energy management monitor, and send policy data related to energy control to the central energy controller;
said central energy controller for receiving said energy control related policy data for each of said regional energy controllers;
the central energy controller is further used for generating an energy control instruction of each regional energy controller according to the strategy data related to the energy control;
the central energy controller is further used for sending the energy control instruction to the corresponding regional energy controller;
the regional energy controller is further configured to receive the corresponding energy control instruction, and perform energy adjustment on the intelligent device according to the energy control instruction.
In combination with the second aspect of the present application, in the first embodiment of the second aspect,
the central energy controller is also used for acquiring energy dispatching plan data;
the central energy controller is further used for determining energy distribution adjustment data of each regional energy controller according to the energy scheduling plan data and the strategy data related to the energy control;
the central energy controller is further configured to generate an energy control command for each of the regional energy controllers based on the energy distribution adjustment data.
In combination with the first embodiment of the second aspect of the present application, in the second embodiment of the second aspect,
and the central energy controller is also used for sending the energy control instruction to the corresponding regional energy controller in a parallel mode.
In combination with the second embodiment of the second aspect of the present application, in the third embodiment of the second aspect,
the regional energy controller is further used for acquiring strategy data related to energy control after the intelligent equipment performs energy adjustment;
the regional energy controller is further used for sending the strategy data related to the energy control after the energy adjustment to the central energy controller.
With reference to the second aspect, the first embodiment, the second embodiment, or the third embodiment of the present application, in a fourth embodiment of the second aspect, the microgrid system further comprises:
at least one unit collector which is a master-slave dual-machine hot standby unit, the unit collector comprises a master collector and a slave collector, the master collector is connected with the master area controller, the slave collector is connected with the slave area controller,
the unit collector is also used for collecting equipment operation data of intelligent equipment in the area of the area controller, wherein the equipment operation data comprises energy data;
the unit collector is also used for sending the equipment operation data to the regional energy controller;
the regional energy controller is further configured to receive the device operation data sent by the unit collector, and determine policy data related to energy control according to the energy data.
The method for controlling the energy of the micro-grid is applied to the micro-grid system, and a regional energy controller of the micro-grid system acquires equipment operation data of intelligent equipment in a region and strategy data related to energy control; the regional energy controller sends the equipment operation data to the energy management monitor and sends strategy data related to energy control to the central energy controller; the central energy controller receives strategy data related to energy control of each regional energy controller; the central energy controller generates an energy control instruction of each regional energy controller according to the strategy data related to energy control; the central energy controller sends the energy control instruction to the corresponding regional energy controller; and the regional energy controller receives the corresponding energy control instruction and adjusts the energy of the intelligent equipment according to the energy control instruction. The central energy controller and the regional energy controllers are master-slave dual-machine hot standby, the central energy controller comprises a master central controller and a slave central controller, the regional energy controller comprises a master regional controller and a slave regional controller, the master central controller and the master regional controller are connected into a master optical fiber ring network, the slave optical fiber ring network is connected into the slave central controller and the slave regional controller, the master optical fiber ring network and the slave optical fiber ring network are connected with an energy management monitor, and control flow and data flow of the micro-grid system are separated through the central energy controller and the regional energy controllers of the dual-optical fiber ring network and the master-slave dual-machine hot standby, so that stability and real-time performance of energy control of the micro-grid system are improved.
Drawings
FIG. 1 is a schematic diagram of a system architecture of a microgrid system;
fig. 2 is a schematic flow chart diagram illustrating an embodiment of a microgrid energy control method provided herein;
fig. 3 is a schematic diagram of an RS485 standard communication mode of master-slave dual-computer hot standby provided in the present application;
FIG. 4 is a schematic diagram of a system architecture of a microgrid system having a cell collector;
FIG. 5 is a schematic diagram of one embodiment of a microgrid system provided herein;
fig. 6 is a schematic structural diagram of another embodiment of a microgrid system provided by the present application.
Detailed Description
The application provides a micro-grid energy control method and a micro-grid system, wherein a control flow and a data flow of the micro-grid system are separated through a double-optical-fiber ring network and a central energy controller and a regional energy controller of master-slave dual-computer hot standby, so that the stability and the real-time performance of energy control of the micro-grid system are improved.
The terms "upstream" and "downstream" appearing in the present application are used in some scenarios to describe the direction of data/information transmission, for example, the "upstream" direction is the direction of data/information transmission from the terminal device to the network side, the "downstream" direction is the direction of data/information transmission from the network side device to the terminal device, the "upstream" and "downstream" are used only to describe the direction, and the specific devices from which the data/information transmission starts and ends are not limited.
The term "and/or" appearing in the present application may be an association describing an associated object, meaning that three relationships may exist, e.g., a and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" in this application generally indicates that the former and latter related objects are in an "or" relationship.
Various objects such as various messages/information/devices/network elements/systems/devices/actions/operations/flows/concepts may be named in the present application, but these specific names do not constitute limitations on related objects, and the named names may vary with factors such as scenes, contexts or usage habits, and understanding of technical meaning of related objects should be mainly determined from functions and technical effects embodied/executed in the technical solutions.
The terms "first," "second," and the like in the description and in the claims of the present application and in the above-described drawings are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It will be appreciated that the data so used may be interchanged under appropriate circumstances such that the embodiments described herein may be practiced otherwise than as specifically illustrated or described herein. Moreover, the terms "comprises," "comprising," and any other variation 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 modules is not necessarily limited to those steps or modules explicitly listed, but may include other steps or modules not expressly listed or inherent to such process, method, article, or apparatus. The naming or numbering of the steps appearing in the present application does not mean that the steps in the method flow have to be executed in the chronological/logical order indicated by the naming or numbering, and the named or numbered process steps may be executed in a modified order depending on the technical purpose to be achieved, as long as the same or similar technical effects are achieved. The division of the modules presented in this application is a logical division, and in practical applications, there may be another division, for example, multiple modules may be combined or integrated into another system, or some features may be omitted, or not executed, and in addition, the shown or discussed coupling or direct coupling or communication connection between each other may be through some interfaces, and the indirect coupling or communication connection between the modules may be in an electrical or other similar form, which is not limited in this application. The modules or sub-modules described as separate components may or may not be physically separated, may or may not be physical modules, or may be distributed in a plurality of circuit modules, and some or all of the modules may be selected according to actual needs to achieve the purpose of the present disclosure.
Referring to fig. 2, an embodiment of the present application provides a method for controlling energy of a microgrid, including:
201. the method comprises the steps that a regional energy controller obtains equipment operation data of intelligent equipment in a region and strategy data related to energy control;
in this embodiment, as shown in fig. 1, the microgrid system includes an energy management monitor, a central energy controller, and at least one regional energy controller, the central energy controller and the regional energy controllers are master-slave dual-computer hot standby devices, the central energy controller includes a master central controller and a slave central controller, the regional energy controller includes a master regional controller and a slave regional controller, the master central controller and the master regional controller are connected to a master optical fiber ring network, the slave optical fiber ring network is connected to the slave central controller and the slave regional controller, and the master optical fiber ring network and the slave optical fiber ring network are connected to the energy management monitor. The working mode of master-slave dual-computer hot standby is as follows: the master and slave controllers are configured in a port redundancy manner, and a data network is synchronized between the master and slave controllers, as shown in fig. 3, an RS485 standard communication mode is adopted, RS485 is a standard which defines the electrical characteristics of a driver and a receiver in a balanced digital multipoint system, the standard is defined by the association of the telecommunication industry and the electronic industry alliance, and a digital communication network using the standard can effectively transmit signals under a long-distance condition and in an environment with high electronic noise. Under an RS485 communication mode, the P1 ports of the master controller and the slave controller are connected in parallel, the port of one controller is in a working mode, the port of the other controller is in a hot standby state, the redundant ports of the master controller and the slave controller are directly connected in parallel by utilizing the difference characteristic of the RS485 ports, the online monitoring of port data streams of the two controllers can be realized, when the port of one controller is in normal communication with the intelligent equipment, the corresponding port of the slave controller can also monitor the data streams, if the master controller obtains the corresponding sampling point data of the intelligent equipment, the sampling point data is synchronized to the slave controller, and the slave controller monitors the data streams in real time; if the data stream is not received within the detection time (generally 5000ms), the data request of the intelligent device is tried to be automatically taken over; if the communication of the port of the master controller is normal, the port of the slave controller is prompted to stop sending, and the working states of the two machine ports are prevented from being mutually robbed. Various communication protocol libraries are dynamically integrated in the controller, and the protocol libraries are selectively loaded by the main program according to engineering configuration. After the protocol library is started, a main thread of the protocol library is created, information interaction with the intelligent equipment is processed periodically according to the protocol requirement, the main thread is responsible for port data receiving and sending, port switching, information synchronization and the like, and the protocol library is responsible for equipment protocol sending framing, returning data analysis of information and updating equipment information point data. For the regional energy controller in the master-slave double-click hot standby mode, the device operation data of all intelligent devices in the region to which the regional energy controller belongs and the strategy data related to energy control can be acquired, the intelligent devices refer to measurement and control, instruments, temperature control, PCS, BMS and the like in a micro-grid system, the PCS can control the charging and discharging processes of a storage battery and perform alternating current/direct current conversion, the alternating current load can be directly supplied with power under the condition of no power grid, and the strategy data related to energy control can actually be the data of the power supply of the PCS in the region of the regional energy controller.
202. The regional energy controller sends the equipment operation data to the energy management monitor and sends strategy data related to energy control to the central energy controller;
in this embodiment, the regional energy controller sends the device operation data to the energy management monitor, so that the energy management monitor can perform data monitoring, statistics, reporting, Sequence event order (SOE), planning curve simulation, online power adjustment, fixed value reading and writing, energy monitoring, and the like according to the device operation data. The regional energy controllers also send energy control-related policy data to the central energy controller, the energy control-related policy data indicating that the regional energy controllers are currently performing energy allocation.
203. The central energy controller receives strategy data related to energy control of each regional energy controller;
in this embodiment, since the number of the regional energy controllers may be multiple, it is necessary to aggregate the policy data related to energy control into the central energy controller, and then the central energy controller receives the policy data related to energy control of each regional energy controller.
204. The central energy controller generates an energy control instruction of each regional energy controller according to the strategy data related to energy control;
in this embodiment, the central energy controller may determine the actual energy allocation of each regional energy controller according to the policy data related to energy control, the central energy controller may preset an energy allocation policy or receive an energy plan curve, and at this time, in order to more reasonably allocate energy to the microgrid system, the energy allocation of each regional energy controller needs to be adjusted according to the policy data related to energy control, so as to generate an energy control instruction of each regional energy controller.
205. The central energy controller sends the energy control instruction to the corresponding regional energy controller;
in this embodiment, the central energy controller sends the energy control command of each regional energy controller to the corresponding regional energy controller.
206. And the regional energy controller receives the corresponding energy control instruction and adjusts the energy of the intelligent equipment according to the energy control instruction.
In this embodiment, the regional energy controller receives the corresponding energy control instruction, and performs energy adjustment on the intelligent device according to the energy control instruction, for example, performs adjustment specified by the energy control instruction on the power of the PCS to which the regional energy controller belongs.
In the embodiment of the application, the central energy controller and the regional energy controllers are master-slave dual-machine hot standby, the master central controller and the master regional controller are connected into the master optical fiber ring network, the slave optical fiber ring network is connected from the central controller and the slave regional controller, the double optical fiber ring network is connected with the energy management monitor, data flow between the regional energy controller and the energy management monitor is separated from control flow between the regional energy controller and the central energy controller, energy control instructions in the micro-grid system can be issued in time, and real-time performance and stability of energy control are guaranteed.
Optionally, in some embodiments of the present application, the generating, by the central energy controller, the energy control instruction of each regional energy controller according to the policy data related to energy control includes:
the central energy controller acquires energy dispatching plan data;
the central energy controller determines energy distribution adjustment data of each regional energy controller according to the energy scheduling plan data and the strategy data related to energy control;
the central energy controller generates energy control commands for each of the regional energy controllers based on the energy distribution adjustment data.
In the embodiment of the application, the energy dispatching plan data can be an energy dispatching plan curve, a plan is made according to the predicted power output of the microgrid system, generally, one measuring point is 15 minutes, and if the energy supply of the microgrid system is a photovoltaic station, the power prediction needs to be made through weather information; in the case of an energy storage power station, the available capacity of the battery is needed to make a prediction. The energy dispatching plan data can be issued by a user, and if the electric power needs to be sent into the power grid, the power supply bureau issues the energy dispatching plan data to the central energy controller. The central energy controller acquires energy dispatching plan data, determines energy distribution adjustment data of each regional energy controller according to the energy dispatching plan data and strategy data related to energy control, and generates an energy control instruction of each regional energy controller according to the energy distribution adjustment data.
Optionally, in some embodiments of the present application, the sending, by the central energy controller, the energy control command to the corresponding regional energy controller includes:
and the central energy controller sends the energy control instruction to the corresponding regional energy controller in a parallel mode.
In the embodiment of the application, since the number of the regional energy controllers is not limited to one, in order to ensure the requirement of real-time performance, the energy control instructions of the regional energy controllers need to be issued in parallel, and then the central energy controller sends the energy control instructions to the corresponding regional energy controllers in a parallel manner.
Optionally, in some embodiments of the present application, after the area energy controller receives the corresponding energy control instruction and adjusts energy of the smart device according to the energy control instruction, the method further includes:
the regional energy controller acquires strategy data related to energy control after the intelligent equipment performs energy adjustment;
and the regional energy controller transmits the strategy data related to the energy control after the energy adjustment to the central energy controller.
In the embodiment of the application, after the regional energy controller adjusts the energy of the intelligent device according to the energy control command, in order to ensure that the energy adjustment is expected by the central energy controller, the regional energy controller needs to obtain the strategy data related to the energy control after the energy adjustment of the intelligent device, and send the strategy data related to the energy control after the energy adjustment to the central energy controller. The central energy controller continues to step 204 in fig. 2.
Optionally, in some embodiments of the application, the microgrid system further includes at least one unit collector, the unit collector is a master-slave dual-machine hot standby device, the unit collector includes a master collector and a slave collector, the master collector is connected with the master area controller, the slave collector is connected with the slave area controller,
the method for acquiring the equipment operation data and the energy control related strategy data of the intelligent equipment in the area by the area energy controller comprises the following steps:
the method comprises the steps that a unit collector collects equipment operation data of intelligent equipment in a region of a region controller, wherein the equipment operation data comprises energy data;
the unit collector sends the equipment operation data to the regional energy controller;
and the regional energy controller receives the equipment operation data sent by the unit collector and determines strategy data related to energy control according to the energy data.
In this embodiment of the application, as shown in fig. 4, the microgrid system further includes at least one unit collector, the unit collector is a master-slave dual-machine hot standby device, the unit collector includes a master collector and a slave collector, the master collector is connected with the master area controller, the slave collector is connected with the slave area controller, when the unit collector is added for the purpose of overlarge installed capacity, the real-time performance of data acquisition and control is improved, the unit collector collects device operation data of intelligent devices in an area of the area energy controller, the device operation data includes energy data, the device operation data is sent to the area energy controller, the area energy controller receives the device operation data sent by the unit collector, and determines policy data related to energy control according to the energy data.
The method for controlling the energy of the microgrid is described above, and the microgrid system to which the method for controlling the energy of the microgrid is applied is described below by way of an embodiment.
As shown in fig. 5, an embodiment of the present application provides a microgrid system, including:
an energy management monitor 501, a central energy controller 502, and at least one regional energy controller 503;
the central energy controller 502 and the regional energy controller 503 are master-slave dual-machine hot standby, the central energy controller 502 comprises a master central controller 5021 and a slave central controller 5022, the regional energy controller 503 comprises a master regional controller 5031 and a slave regional controller 5032, the master central controller 5021 and the master regional controller 5031 are connected to a master backbone network, the slave regional controller 5023 and the slave regional controller 5022 are connected to a slave backbone network, and the master backbone network and the slave backbone network are connected to the energy management monitor 501;
the regional energy controller 503 is configured to acquire device operation data of the smart devices in the region and policy data related to energy control;
the regional energy controller 503 is further configured to send the device operation data to the energy management monitor 501, and send policy data related to energy control to the central energy controller 502;
a central energy controller 502 for receiving energy control related policy data for each regional energy controller;
the central energy controller 502 is further used for generating an energy control instruction of each regional energy controller according to the strategy data related to energy control;
the central energy controller 502 is further configured to send an energy control instruction to the corresponding regional energy controller 503;
the regional energy controller 503 is further configured to receive a corresponding energy control instruction, and perform energy adjustment on the smart device according to the energy control instruction.
In this embodiment of the application, since the central energy controller 502 and the regional energy controller 503 are master-slave dual-computer hot standby, the master central controller 5021 and the master regional controller 5031 access the master optical fiber ring network, and the slave optical fiber ring network accesses the slave central controller 5022 and the slave regional controller 5032, a dual optical fiber ring network is formed to be connected with the energy management monitor 501, so that data flow between the regional energy controller 503 and the energy management monitor 501 and control flow between the regional energy controller 503 and the central energy controller 502 are separated, so that the energy control instruction in the micro-grid system can be issued in time, and real-time performance and stability of energy control are guaranteed.
Alternatively, in some embodiments of the present application,
a central energy controller 502, further configured to obtain energy scheduling plan data;
the central energy controller 502 is further configured to determine energy allocation adjustment data of each regional energy controller according to the energy scheduling plan data and the strategy data related to energy control;
the central energy controller 502 is further configured to generate an energy control command for each of the regional energy controllers based on the energy distribution adjustment data.
In the embodiment of the application, the energy dispatching plan data can be an energy dispatching plan curve, a plan is made according to the predicted power output of the microgrid system, generally, one measuring point is 15 minutes, and if the energy supply of the microgrid system is a photovoltaic station, the power prediction needs to be made through weather information; in the case of an energy storage power station, the available capacity of the battery is needed to make a prediction. The energy dispatching plan data can be issued by a user, and if the electric power needs to be sent into the power grid, the power supply bureau issues the energy dispatching plan data to the central energy controller. The central energy controller 502 acquires the energy scheduling plan data, determines energy allocation adjustment data of each regional energy controller according to the energy scheduling plan data and the strategy data related to energy control, and generates an energy control instruction of each regional energy controller according to the energy allocation adjustment data.
Alternatively, in some embodiments of the present application,
the central energy controller 502 is further configured to send energy control commands to the corresponding regional energy controllers in a parallel manner.
In this embodiment, since the number of the regional energy controllers 503 is not limited to one, in order to ensure the requirement of real-time performance, the energy control instructions of the regional energy controllers 503 need to be issued in parallel, and then the central energy controller 502 sends the energy control instructions to the corresponding regional energy controllers in a parallel manner.
Alternatively, in some embodiments of the present application,
the regional energy controller 503 is further configured to acquire policy data related to energy control after the intelligent device performs energy adjustment;
the regional energy controller 503 is further configured to send the strategy data related to energy control after energy adjustment to the central energy controller.
In this embodiment of the application, after the regional energy controller 503 performs energy adjustment on the smart device according to the energy control instruction, in order to ensure that the energy adjustment is expected by the central energy controller, the regional energy controller 503 needs to obtain the policy data related to energy control after the energy adjustment is performed on the smart device, and send the policy data related to energy control after the energy adjustment to the central energy controller 502. The central energy controller 502 continues to step 204 in fig. 2.
Optionally, as shown in fig. 6, in some embodiments of the present application, the microgrid system further includes:
at least one unit collector 601, the unit collector 601 is a master-slave dual-computer hot standby device, the unit collector 601 includes a master collector 6011 and a slave collector 6012, the master collector 6011 is connected with a master area controller 5031, the slave collector 6012 is connected with a slave area controller 5032,
the unit collector 601 is further configured to collect device operation data of the intelligent device in the area of the area controller, where the device operation data includes energy data;
the unit collector 601 is further configured to send device operation data to the regional energy controller;
the regional energy controller 503 is further configured to receive the device operation data sent by the cell gatherer, and determine policy data related to energy control according to the energy data.
In the embodiment of the application, the unit collector 601 is added to improve the real-time performance of data acquisition and control when the installed capacity is too large, the unit collector 601 collects equipment operation data of intelligent equipment in the area of the area energy controller 503, the equipment operation data comprises energy data, the equipment operation data is sent to the area energy controller 503, the area energy controller 503 receives the equipment operation data sent by the unit collector 601, and strategy data related to energy control is determined according to the energy data.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product.
The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website site, computer, server, or data center to another website site, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can store or a data storage device, such as a server, a data center, etc., that is integrated with one or more available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
It should be understood that, in the various embodiments of the present application, the sequence numbers of the above-mentioned processes do not mean the execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.
The above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present application.

Claims (10)

1. A microgrid energy control method is applied to a microgrid system, the microgrid system comprises an energy management monitor, a central energy controller and at least one regional energy controller, the central energy controller and the regional energy controllers are master-slave dual-machine hot standby, the central energy controller comprises a master central controller and a slave central controller, the regional energy controllers comprise a master regional controller and a slave regional controller, the master central controller and the master regional controller are connected into a master optical fiber ring network, the slave central controller and the slave regional controller are connected into a slave optical fiber ring network, the master optical fiber ring network and the slave optical fiber ring network are connected with the energy management monitor, and the method comprises the following steps:
the regional energy controller acquires equipment operation data of intelligent equipment in a region and strategy data related to energy control;
the regional energy controller sends the equipment operation data to the energy management monitor and sends the strategy data related to the energy control to the central energy controller;
said central energy controller receiving said energy control related policy data for each of said regional energy controllers;
the central energy controller generates an energy control instruction of each regional energy controller according to the strategy data related to the energy control;
the central energy controller sends the energy control instruction to the corresponding regional energy controller;
and the regional energy controller receives the corresponding energy control instruction and adjusts the energy of the intelligent equipment according to the energy control instruction.
2. The method of claim 1, wherein the central energy controller generates energy control commands for each of the regional energy controllers based on the energy control-related policy data, comprising:
the central energy controller acquires energy dispatching plan data;
the central energy controller determines energy distribution adjustment data of each regional energy controller according to the energy scheduling plan data and the strategy data related to the energy control;
and the central energy controller generates an energy control instruction of each regional energy controller according to the energy distribution adjustment data.
3. The method of claim 2, wherein the central energy controller sending the energy control commands to the corresponding regional energy controllers comprises:
and the central energy controller sends the energy control instruction to the corresponding regional energy controller in a parallel mode.
4. The method of claim 3, wherein the zone energy controller receives the corresponding energy control command, and further comprises, after performing energy adjustment on the smart device according to the energy control command:
the regional energy controller acquires strategy data related to energy control after the intelligent equipment performs energy adjustment;
and the regional energy controller transmits the strategy data related to the energy control after the energy adjustment to the central energy controller.
5. The method of any one of claims 1-4, wherein the microgrid system further comprises at least one element collector, wherein the element collector is a master-slave dual-machine hot standby, the element collector comprises a master collector and a slave collector, the master collector is connected with the master area controller, the slave collector is connected with the slave area controller,
the method for acquiring the equipment operation data and the energy control related strategy data of the intelligent equipment in the area by the area energy controller comprises the following steps:
the unit collector collects equipment operation data of intelligent equipment in the area of the area controller, wherein the equipment operation data comprises energy data;
the unit collector sends the equipment operation data to the regional energy controller;
and the regional energy controller receives the equipment operation data sent by the unit collector and determines strategy data related to energy control according to the energy data.
6. A microgrid system, comprising:
the system comprises an energy management monitor, a central energy controller and at least one regional energy controller;
the central energy controller and the regional energy controllers are master-slave dual-machine hot standby, the central energy controller comprises a master central controller and a slave central controller, the regional energy controllers comprise a master regional controller and a slave regional controller, the master central controller and the master regional controller are connected to a master backbone network, the slave central controller and the slave regional controller are connected to a slave backbone network, and the master backbone network and the slave backbone network are connected with the energy management monitor;
the regional energy controller is used for acquiring equipment operation data of intelligent equipment in a region and strategy data related to energy control;
the regional energy controller is further configured to send the device operation data to the energy management monitor, and send policy data related to energy control to the central energy controller;
said central energy controller for receiving said energy control related policy data for each of said regional energy controllers;
the central energy controller is further used for generating an energy control instruction of each regional energy controller according to the strategy data related to the energy control;
the central energy controller is further used for sending the energy control instruction to the corresponding regional energy controller;
the regional energy controller is further configured to receive the corresponding energy control instruction, and perform energy adjustment on the intelligent device according to the energy control instruction.
7. The microgrid system of claim 6,
the central energy controller is also used for acquiring energy dispatching plan data;
the central energy controller is further used for determining energy distribution adjustment data of each regional energy controller according to the energy scheduling plan data and the strategy data related to the energy control;
the central energy controller is further configured to generate an energy control command for each of the regional energy controllers based on the energy distribution adjustment data.
8. The microgrid system of claim 7,
and the central energy controller is also used for sending the energy control instruction to the corresponding regional energy controller in a parallel mode.
9. The microgrid system of claim 8,
the regional energy controller is further used for acquiring strategy data related to energy control after the intelligent equipment performs energy adjustment;
the regional energy controller is further used for sending the strategy data related to the energy control after the energy adjustment to the central energy controller.
10. The microgrid system of any of claims 6-9, further comprising:
at least one unit collector which is a master-slave dual-machine hot standby unit, the unit collector comprises a master collector and a slave collector, the master collector is connected with the master area controller, the slave collector is connected with the slave area controller,
the unit collector is also used for collecting equipment operation data of intelligent equipment in the area of the area controller, wherein the equipment operation data comprises energy data;
the unit collector is also used for sending the equipment operation data to the regional energy controller;
the regional energy controller is further configured to receive the device operation data sent by the unit collector, and determine policy data related to energy control according to the energy data.
CN201811245484.0A 2018-10-24 2018-10-24 Micro-grid energy control method and micro-grid system Active CN109256863B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811245484.0A CN109256863B (en) 2018-10-24 2018-10-24 Micro-grid energy control method and micro-grid system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811245484.0A CN109256863B (en) 2018-10-24 2018-10-24 Micro-grid energy control method and micro-grid system

Publications (2)

Publication Number Publication Date
CN109256863A CN109256863A (en) 2019-01-22
CN109256863B true CN109256863B (en) 2020-08-11

Family

ID=65046171

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811245484.0A Active CN109256863B (en) 2018-10-24 2018-10-24 Micro-grid energy control method and micro-grid system

Country Status (1)

Country Link
CN (1) CN109256863B (en)

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2101387A1 (en) * 2008-03-10 2009-09-16 ABB Research Ltd Controlling distribution of electrical power
CN103345227B (en) * 2013-07-02 2015-09-09 东南大学 A kind of micro-capacitance sensor monitoring and energy management apparatus and method
CN104836334B (en) * 2014-02-08 2017-08-25 中国农业大学 A kind of autonomous and coordinated control system of low pressure micro-capacitance sensor group
CN104092303B (en) * 2014-07-03 2016-09-14 内蒙古大学 Scene distributed power generation independent micro-grid energy management coordinated control system and method
CN104158297A (en) * 2014-09-04 2014-11-19 上海太阳能科技有限公司 Composite energy structure micro-grid monitoring platform based on energy management

Also Published As

Publication number Publication date
CN109256863A (en) 2019-01-22

Similar Documents

Publication Publication Date Title
US10198458B2 (en) Intelligent electrical distribution grid control system data
Bernstein et al. A composable method for real-time control of active distribution networks with explicit power setpoints. Part I: Framework
US20200379494A1 (en) Systems and methods for grid operating systems in electric power systems
US10459411B2 (en) System and method for single and multizonal optimization of utility services delivery and utilization
Karfopoulos et al. A multi-agent system providing demand response services from residential consumers
US9086691B2 (en) Microgrid control system
US9917442B2 (en) Distributed micro-grid controller
CN102938588B (en) Intelligent power grid safety and stability early-warning and control system
KR101285065B1 (en) System and method for managing a distribution system
CN103595136B (en) A kind of energy management system of micro-grid
US9450454B2 (en) Distributed intelligence architecture with dynamic reverse/forward clouding
Wang et al. Multimedia communications over cognitive radio networks for smart grid applications
US9300156B2 (en) Charge/discharge instructing apparatus and non-transitory computer readable medium
CN101873008B (en) Method for converting SCD (Substation Configuration Description) model into dispatching center CIM (Common Information Model)
CA2807007C (en) Intelligent core engine
Santacana et al. Getting smart
US9465378B2 (en) Power electronics device, communication device, cooperative control method and computer readable medium
CN103733463B (en) Method and the device of energy service is controlled based on marketing data
CN101534021B (en) Multimode data acquisitions and processing method applied to power automation system
RU2554540C2 (en) Utility grid command filter system
CN101809839B (en) Controlling distribution of electrical power
US9184601B2 (en) Charge-discharge control device, charge-discharge monitoring device, charge-discharge control system, and computer program product
JP5452613B2 (en) Power grid supply interruption and failure status management
CN106126346B (en) A kind of large-scale distributed data collection system and method
CN103715772B (en) A kind of panoramic data centre of intelligent substation

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
CB02 Change of applicant information
CB02 Change of applicant information

Address after: 361000 Ma Long Road 457, Torch Garden, Xiamen Torch High-tech Zone, Fujian Province

Applicant after: Kehua Hengsheng Co., Ltd.

Applicant after: Kehua Technology Co., Ltd., Zhangzhou

Address before: 361000 Ma Long Road 457, Torch Garden, Xiamen Torch High-tech Zone, Xiamen City, Fujian Province

Applicant before: Xiamen Kehua Hengsheng Co., Ltd.

Applicant before: Kehua Technology Co., Ltd., Zhangzhou

Address after: 361000 Ma Long Road 457, Torch Garden, Xiamen Torch High-tech Zone, Fujian Province

Applicant after: Kehua Hengsheng Co., Ltd.

Applicant after: Kehua Technology Co., Ltd., Zhangzhou

Address before: 361000 Ma Long Road 457, Torch Garden, Xiamen Torch High-tech Zone, Xiamen City, Fujian Province

Applicant before: Xiamen Kehua Hengsheng Co., Ltd.

Applicant before: Kehua Technology Co., Ltd., Zhangzhou

GR01 Patent grant
GR01 Patent grant