A wind-solar-diesel integrated energy guarantee and energy management system

Abstract

The application provides a wind-solar-diesel storage integrated energy guarantee and energy management system, comprising an energy management data platform, an energy management monitoring module, an energy management software algorithm and an energy management system intelligent control strategy; the energy management monitoring module is used for information collection and account generation, and transmits the collected information to the energy management data platform; the energy management data platform is used for data storage, data display and alarm prompt on the data transmitted by the energy management monitoring module; the energy management software algorithm is used for realizing data collection, dispatching control calculation and island protection; and the energy management system intelligent control strategy is used for realizing energy subnetwork central control based on a hierarchical multi-time scale communication mode; through the control mode of hierarchical multi-time scale communication of data information, the application solves the problems of multi-energy system coordinated control and stable power supply, and improves the comprehensive energy utilization rate, power supply quality and power supply reliability of the energy guarantee system.

Description

TECHNICAL FIELD

[0001] The present application belongs to the field of energy management of multi-energy system, and particularly relates to a wind-solar-diesel-storage integrated energy guarantee and energy management system. BACKGROUND

[0002] With the access of distributed power supply, multi-element AC / DC load, regional high / low peak power consumption and other random elements to the power grid, mobile energy guarantee system as a supplement and support of traditional power grid has received extensive attention. As a multi-energy system, due to its multi-power characteristics and complex electrical environment, the energy management of mobile energy guarantee system has always been the focus of the industry.

[0003] Mobile energy guarantee system generally has wind power, photovoltaic, diesel generator, energy storage battery and other forms of energy, but due to the lack of unified coordinated control of energy use, the coupling between different energies in the system is not strong, and the coordinated conversion between energies cannot be effectively realized, resulting in energy waste, unbalanced supply and demand of electric energy and other phenomena in the system. At present, the research and engineering construction of comprehensive energy management system of multi-energy coordination are mainly for the monitoring of basic energy information in the system, and the research and application of unified coordinated control of multiple energies in the system are less. SUMMARY

[0004] In order to overcome the above-mentioned deficiencies of the prior art, the present application provides a wind-solar-diesel-storage integrated energy guarantee and energy management system, comprising: a hardware layer and a software layer.

[0005] The hardware layer comprises an energy management data platform and an energy management monitoring module, and the energy management monitoring module and the energy management data platform are in communication connection.

[0006] The energy management monitoring module is used for information collection and generation of account books, and the collected information is transmitted to the energy management data platform.

[0007] The energy management data platform is used for data storage, data display and alarm prompt of the data transmitted by the energy management monitoring module.

[0008] The software layer comprises an energy management software algorithm and an energy management system intelligent control strategy; the energy management software algorithm is arranged on the energy management data platform, and the energy management system intelligent control strategy is arranged on the energy management monitoring module.

[0009] The energy management software algorithm is used for realizing data collection, dispatching control calculation and island protection.

[0010] The energy management system intelligent control strategy is used for realizing central control of energy subnetwork based on hierarchical multi-time scale communication mode.

[0011] Preferably, the energy management system intelligent control strategy comprises an energy sub-network system control mode and a multi-time scale control strategy.

[0012] The energy sub-network system control mode is used for local control, centralized control and power distribution network scheduling.

[0013] The multi-time scale control strategy is used for dividing the security system and the energy sub-network control modules according to different time scales.

[0014] Preferably, the energy sub-network system control mode comprises a local control layer, a centralized control layer and a power distribution network scheduling layer.

[0015] The local control layer is used for controlling loads, photovoltaic power generation systems, wind power generation systems and energy storage systems.

[0016] The centralized control layer is used for maintaining the stability of the energy sub-network voltage and frequency.

[0017] The power distribution network scheduling layer is used for energy coordination control between the power distribution network and the energy sub-network.

[0018] Preferably, the multi-time scale control strategy comprises a millisecond level control module, a second level control module and a minute and hour level control module.

[0019] The millisecond level control module is used for adjusting the tie-line power and issuing instructions for switching from grid-connected to off-grid.

[0020] The second level control module is used for selecting a storage system with V / F control function, rated charge and discharge power of the energy storage power regulation system and energy storage energy state meeting the conditions as the main power source by using a black start control algorithm, and restoring the source and load.

[0021] The minute and hour level control module is used for energy coordination control between the power distribution network and the energy sub-network.

[0022] Preferably, the energy management software algorithm mainly comprises a data acquisition subroutine, a scheduling control calculation subroutine and an island protection subroutine.

[0023] The data acquisition subroutine is used for completing the acquisition of various data in the energy sub-network, and providing an interface for obtaining data for other programs to obtain data.

[0024] The energy scheduling control calculation subroutine is used for calculating the corresponding control instructions according to the optimal energy scheduling scheme of the energy sub-network under the premise of ensuring the stability of the entire system, and fully utilizing photovoltaic energy.

[0025] The island protection subprogram is used for monitoring the mains state, stopping energy scheduling when the energy subnetwork is in island, and starting the energy storage battery discharge.

[0026] Preferably, the energy management data platform comprises a real-time database, a historical database, a running data display and an alarm service.

[0027] The real-time database is used for storing the collected remote signaling, remote measurement and remote pulse point data in different data sets, and the storage is performed according to the data receiving frequency of the collection software.

[0028] The historical database is used for storing the historical data of the running of each device in the energy subnetwork and the intermediate data after calculation and processing.

[0029] The running data display is used for displaying the running data of each device in the energy subnetwork.

[0030] The alarm service is used for monitoring and alarming the remote signaling change, remote measurement overrun, operation information and system information.

[0031] Preferably, the energy management monitoring module comprises an energy management system data collection program, data monitoring and system management.

[0032] The data collection program is used for storing the collected data to the real-time data according to the configuration information.

[0033] The data monitoring is used for data analysis and fault data analysis.

[0034] The system management is used for managing the relevant information collected by the data collection program.

[0035] Preferably, the data collection program supports protocols include Modbus, 104, 103 and 101 standard communication protocols.

[0036] Preferably, the data monitored and analyzed by the data monitoring include the data of the overall data layer of the energy subnetwork, the data of the electrical model layer of the guarantee system, the data of the third-party system model layer, the data of the historical data analysis layer and the data of the system communication state monitoring layer.

[0037] Preferably, the system management comprises energy subnetwork management, device account, measurement point management and system time setting.

[0038] The energy subnetwork management is used for classified management of the relevant devices of the energy subnetwork.

[0039] The device account is used for obtaining the measurement point information through the energy subnetwork device, and generating the account information according to the measurement point information.

[0040] The measurement point management is used for managing measurement point information and parsing the measurement point information into a database;

[0041] The system time setting is used for setting and calibrating the energy management system time.

[0042] Preferably, the measurement point information includes remote signaling, remote measurement, remote pulse, remote adjustment and remote control.

[0043] The device type to which the measurement point information is directed includes an AC / DC switch cabinet, a photovoltaic power generation system, a diesel generator, a guarantee system, an energy storage system, an AC / DC load, a circuit breaker, an AC / DC power supply line and an electric energy meter.

[0044] Compared with the closest prior art, the present application has the following beneficial effects:

[0045] The present application provides a wind-solar-diesel-storage integrated energy guarantee and energy management system, comprising: a hardware level and a software level; the hardware level comprises an energy management data platform and an energy management monitoring module, the energy management monitoring module and the energy management data platform are in communication connection; the energy management monitoring module is used for information collection and generation of a ledger, and the collected information is transmitted to the energy management data platform; the energy management data platform is used for data storage, data display and alarm prompt of the data transmitted by the energy management monitoring module; the software level comprises an energy management software algorithm and an energy management system intelligent control strategy; the energy management software algorithm is set on the energy management data platform, and the energy management system intelligent control strategy is set on the energy management monitoring module; the energy management software algorithm is used for realizing data collection, dispatching control calculation and island protection; the energy management system intelligent control strategy is used for realizing energy subnetwork central control based on a hierarchical multi-time scale communication mode; through the control mode of hierarchical multi-time scale communication of data information, the problems of multi-energy system coordinated control and stable power supply are solved, and the comprehensive energy utilization rate, power supply quality and power supply reliability of the energy guarantee system are improved. BRIEF DESCRIPTION OF DRAWINGS

[0046] Figure 1 A wind-solar-diesel-storage integrated energy guarantee and energy management system overall architecture schematic diagram is provided for the present application;

[0047] Figure 2 A wind-solar-diesel-storage integrated energy guarantee and energy management system data collection algorithm framework schematic diagram is provided for the present application;

[0048] Figure 3 A wind-solar-diesel-storage integrated energy guarantee and energy management system energy management system island protection algorithm architecture schematic diagram is provided for the present application;

[0049] Figure 4 A schematic diagram of an energy scheduling control algorithm framework of a wind-solar-diesel-storage integrated energy guarantee and energy management system provided by the present application is shown in the figure.

[0050] Figure 5 A schematic diagram of an overall energy management system software algorithm framework of a wind-solar-diesel-storage integrated energy guarantee and energy management system provided by the present application is shown in the figure.

[0051] Figure 6 A schematic diagram of an energy management data platform of a wind-solar-diesel-storage integrated energy guarantee and energy management system provided by the present application is shown in the figure.

[0052] Figure 7 A schematic diagram of an energy management monitoring module framework of a wind-solar-diesel-storage integrated energy guarantee and energy management system provided by the present application is shown in the figure. DETAILED DESCRIPTION

[0053] The specific embodiments of the present application will be further described in detail below with reference to the accompanying drawings.

[0054] Embodiment 1:

[0055] The overall framework of a wind-solar-diesel-storage integrated energy guarantee and energy management system provided by the present application is shown in the figure, which includes a hardware level and a software level. Figure 1

[0056] The hardware level includes an energy management data platform and an energy management monitoring module, and the energy management monitoring module and the energy management data platform are in communication connection.

[0057] The energy management monitoring module is used for information collection and generation of a ledger, and the collected information is transmitted to the energy management data platform.

[0058] The energy management data platform is used for data storage, data display and alarm prompt of the data transmitted by the energy management monitoring module.

[0059] The software level includes an energy management software algorithm and an energy management system intelligent control strategy; the energy management software algorithm is set on the energy management data platform, and the energy management system intelligent control strategy is set on the energy management monitoring module.

[0060] The energy management software algorithm is used for realizing data collection, scheduling control calculation and island protection.

[0061] The energy management system intelligent control strategy is used for realizing energy subnetwork central control based on a hierarchical multi-time scale communication mode.

[0062] ​The wind-solar-diesel integrated energy guarantee and energy management system improves the comprehensive energy utilization rate, power supply quality and power supply reliability of the energy guarantee system in view of the coordinated control and stable power supply of the multi-energy system.

[0063] Specifically, the energy management system intelligent control strategy includes an energy subnetwork system control mode and a multi-time scale control strategy.

[0064] The energy subnetwork system control mode is used for local control, centralized control and power distribution network scheduling.

[0065] The multi-time scale control strategy is used to divide the guarantee system and the energy subnetwork control modules according to different time scales.

[0066] The energy subnetwork central controller based on the hierarchical multi-time scale communication mode integrates the functions of black start, seamless switching operation optimization control and energy efficiency management.

[0067] Specifically, the energy subnetwork system control mode includes a local control layer, a centralized control layer and a power distribution network scheduling layer.

[0068] The local control layer is used to control the load, photovoltaic power generation system, wind power generation system and energy storage system.

[0069] The centralized control layer is used to maintain the stability of the energy subnetwork voltage and frequency.

[0070] The power distribution network scheduling layer is used for energy coordination control between the power distribution network and the energy subnetwork.

[0071] Specifically, the multi-time scale control strategy includes a millisecond-level control module, a second-level control module and a minute-level and hour-level control module.

[0072] The millisecond-level control module is used to adjust the tie line power and issue instructions for switching from grid-connected to off-grid.

[0073] The second-level control module is used to select the energy storage system with V / F control function, rated charge and discharge power of the energy storage power regulation system and energy storage energy state meeting the conditions as the main power source by using the black start control algorithm, and to restore the source and load.

[0074] The minute-level and hour-level control module is used for energy coordination control between the power distribution network and the energy subnetwork.

[0075] The energy subnetwork system control mode is based on the hierarchical structure of the energy subnetwork coordination control mode, and is divided into three layers according to the response speed, time scale and communication demand.

[0076] The first layer is a local control layer: used for controlling the bottom single modules such as load, photovoltaic power generation system, wind power generation system and energy storage system, and has the characteristics of short time, rapidness and the like.

[0077] The second layer is a centralized control layer: used for maintaining the stability of the energy subnetwork voltage and frequency, so as to guarantee the safety, stability and power limit demand of the energy subnetwork, and has the characteristics of communication dependence, long response time and the like compared with the local control.

[0078] The third layer is a power distribution network dispatching layer: responsible for the energy coordination control between the power distribution network and the energy subnetwork, formulates the power demand of the power distribution network based on voltage or frequency regulation, and coordinates the output of the energy subnetwork according to relevant constraint conditions, and has a response time scale of several minutes, and has a higher requirement for communication reliability.

[0079] The multi-time scale control strategy is convenient for analysis, and combines the relationship between the input and output of each module and the external data flow, and divides the control modules of the guarantee system and the energy subnetwork into millisecond-level control modules, second-level control modules, minute-level and hour-level control modules according to different time scales.

[0080] The millisecond-level control: the energy subnetwork is switched from the grid-connected mode to the off-grid mode, including two cases: active switching, the embedded energy management system central controller can adjust the tie-line power close to the set value through source-load power coordination control, and then issue an off-grid instruction to realize the switching from grid-connected to off-grid; passive switching, once the information of abnormal voltage or frequency of the power distribution network or the opening of the point of common coupling switch is detected, the central controller quickly issues a control mode switching and power setting instruction to the guarantee system to realize the switching from grid-connected to off-grid.

[0081] The energy subnetwork is switched from the off-grid mode to the grid-connected mode: when the central controller receives the external grid-connected instruction, the amplitude, frequency and phase of the output voltage of the main power supply are quickly adjusted to realize quasi-synchronization grid connection.

[0082] The second-level control: the black start control algorithm selects the energy storage system with V / F control function, rated charge and discharge power of the energy storage power regulation system and energy storage energy state meeting the conditions to serve as the main power supply for source-load recovery.

[0083] The minute-level and hour-level control: the minute-level and hour-level control algorithm is responsible for the energy coordination control between the power distribution network and the energy subnetwork, formulates the power demand of the power distribution network based on the dispatching instruction demand, and coordinates the output of the energy subnetwork according to relevant constraint conditions, and has a response time scale of several minutes or hours.

[0084] Specifically, the energy management software algorithm mainly includes: a data acquisition subroutine, a dispatching control calculation subroutine and an island protection subroutine.

[0085] The data acquisition subprogram is used for completing the acquisition of various data in the energy subnetwork and providing an interface for obtaining data for other programs to obtain data.

[0086] The energy scheduling control calculation subprogram is used for calculating corresponding control instructions according to the optimal energy scheduling scheme of the energy subnetwork under the premise of ensuring the stability of the entire system and fully utilizing photovoltaic energy.

[0087] The island protection subprogram is used for monitoring the state of commercial power and stopping energy scheduling and starting the discharge of the energy storage battery when the energy subnetwork is in an island state.

[0088] As shown in Figure 2 The data acquisition subprogram is used for completing the acquisition of various data in the energy subnetwork and providing an interface for obtaining data for other programs to obtain data, and the acquisition cycle can be configured by itself.

[0089] As shown in Figure 3 In the island protection algorithm architecture, the island protection subprogram is used for monitoring the state of commercial power, stopping energy scheduling and starting the discharge of the energy storage battery when the energy subnetwork is in an island state. When the energy subnetwork is in a non-island state, the energy storage battery is kept charged to more than 50%, the non-working state of the energy storage battery is started, and the energy scheduling control calculation subprogram is started.

[0090] As shown in Figure 4 The energy scheduling control calculation subprogram is used for calculating corresponding control instructions according to the optimal energy scheduling scheme of the energy subnetwork under the premise of ensuring the stability of the entire system and fully utilizing photovoltaic energy. The intelligent energy scheduling strategy is built in the overall architecture of the energy management system software algorithm as shown in Figure 5 The user can start or stop the strategy through the system. After starting, the intelligent energy scheduling strategy will continue to run, and after stopping, it can be switched to manual control.

[0091] Specifically, as shown in Figure 6 The energy management data platform includes a real-time database, a historical database, running data display and alarm services.

[0092] The real-time database is used for storing collected remote signaling, remote measurement and remote pulse point data in different data sets and storing them according to the data receiving frequency of the acquisition software.

[0093] The historical database is used for storing the historical data of the operation of various devices in the energy subnetwork and the intermediate data after calculation and processing.

[0094] The running data display is used for displaying the running data of various devices in the energy subnetwork.

[0095] The alarm service is used for monitoring and alarming remote signaling displacement, remote measurement overrun, operation information and system information.

[0096] The real-time database is used for storing collected remote signaling, remote measurement and remote pulse point data in data sets, wherein the data is classified into historical data with time tags and real-time point data without time tags, the storage frequency is not limited, and storage is performed according to the data receiving frequency of the collection software;

[0097] The running data displays the running data of each device of the energy subnetwork, mainly including electrical quantity information of a photovoltaic power generation system, a diesel generator, a guarantee system, an energy storage system, AC and DC loads, circuit breakers, AC and DC power supply lines and the like;

[0098] Specifically, the energy management monitoring module comprises an energy management system data collection program, data monitoring and system management.

[0099] The data collection program is used for storing collected data to real-time data according to configuration information.

[0100] The data monitoring is used for data analysis and fault data analysis.

[0101] The system management is used for managing relevant information collected by the data collection program.

[0102] The energy management monitoring module supports storage of relevant historical data of the system, network analysis, alarm of relevant devices and systems, realizes system information classified collection and processing, configuration model construction and the like; mainly comprising an energy management system data collection program, data monitoring and system management, and the energy management system architecture is as shown in Figure 7 .

[0103] Specifically, the data collection program supports protocols including Modbus, 104, 103 and 101 standard communication protocols.

[0104] The data collection program supports Modbus, 104, 103, 101 and the like standard communication protocols, and adopts C language; and has the following characteristics:

[0105] ① The collected data is stored to corresponding real-time data according to configuration information point number;

[0106] ② Data forwarding function is provided, such as data forwarding configuration as a slave station;

[0107] ③ The collection program supports cross-platform deployment and can be deployed to a communication management machine or a general server.

[0108] The collection program data collection and processing remote measurement data change dead zone transmission time ≤ 2 seconds; remote signaling position change transmission time ≤ 2 seconds.

[0109] Specifically, the data monitored and analyzed by the system includes data of an energy subnetwork overall data layer, data of an electrical model layer of a guarantee system, data of a third-party system model layer, data of a historical data analysis layer, and data of a system communication state monitoring layer.

[0110] The data monitoring includes the following parts:

[0111] ① Energy subnetwork overall data layer (lower network power grid, upper network power, etc.).

[0112] ② Guarantee system electrical model layer (telemetry, remote signaling).

[0113] ③ Third-party system model layer (photovoltaic power generation system, diesel generator, energy storage system, etc.).

[0114] ④ Historical data analysis layer (operation data analysis, fault data analysis, etc.).

[0115] ⑤ System communication state monitoring layer.

[0116] Specifically, the system management includes energy subnetwork management, device account, measurement point management, and setting system time.

[0117] The energy subnetwork management is used for classified management of energy subnetwork related devices.

[0118] The device account is used for obtaining measurement point information through energy subnetwork devices and generating account information according to the measurement point information.

[0119] The measurement point management is used for managing measurement point information and parsing the measurement point information into a database.

[0120] The setting system time is used for setting and calibrating energy management system time.

[0121] The energy subnetwork management is used for classified management of energy subnetwork related devices, such as new creation, modification, query, and deletion, etc.

[0122] The device account is used for energy subnetwork device account information derived from measurement point information, and automatically generating account information according to the measurement point information.

[0123] The setting system time is used for setting and calibrating energy management system time; including manual setting and accurate calibration.

[0124] Specifically, the measurement point information includes remote signaling, telemetry, remote pulse, remote adjustment, and remote control.

[0125] The device types targeted by the measurement point information include AC / DC switch cabinet, photovoltaic power generation system, diesel generator, guarantee system, energy storage system, AC / DC load, circuit breaker, AC / DC power supply line, and electric energy meter.

[0126] The measuring point management is used for managing data collection measuring point information, and the measuring point information is from collection software and is stored in a database after being parsed by the system.

[0127] The measuring point types include remote signaling, remote measurement, remote pulse, remote adjustment, and remote control.

[0128] Those skilled in the art should understand that embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROMs, optical storage, etc.) containing computer-usable program code.

[0129] The present application is described with reference to flowcharts and / or block diagrams of the method, device (system), and computer program product according to embodiments of the present application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and the combination of flows and / or blocks in the flowcharts and / or block diagrams can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing apparatus to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing apparatus produce a device that implements the flow Figure 1 one or more flows and / or blocks Figure 1 means for performing the function specified by one or more of the flows and / or blocks.

[0130] These computer program instructions can also be stored in a computer-readable memory that can direct the computer or other programmable data processing apparatus to work in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured product including instruction means, which implements the flow Figure 1 one or more flows and / or blocks Figure 1 one or more of the flows and / or blocks.

[0131] These computer program instructions can also be loaded into a computer or other programmable data processing apparatus, so that a series of operation steps are performed on the computer or other programmable data processing apparatus to produce a computer-implemented process, so that the instructions executed on the computer or other programmable data processing apparatus provide a process for implementing the flow Figure 1 one or more flows and / or blocks Figure 1 one or more of the flows and / or blocks.

[0132] It should be pointed out finally that the above embodiments are only used for illustrating the technical solutions of the present application but not for limiting the protection scope thereof, and although the present application has been described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that the skilled person in the art can make various changes, modifications or equivalent replacements to the specific embodiments of the application after reading the present application, but these changes, modifications or equivalent replacements are all within the protection scope of the claims to be granted.

Claims

1. A wind-solar-diesel integrated energy security and energy management system, characterized in that, The energy management system comprises a hardware layer and a software layer. The hardware layer comprises an energy management data platform and an energy management monitoring module, and the energy management monitoring module is in communication connection with the energy management data platform. The energy management monitoring module is used for information collection and generation of a ledger, and transmission of the collected information to the energy management data platform. The energy management data platform is used for data storage, data display and alarm prompt of the data transmitted by the energy management monitoring module. The software layer comprises an energy management software algorithm and an energy management system intelligent control strategy. The energy management software algorithm is arranged on the energy management data platform, and the energy management system intelligent control strategy is arranged on the energy management monitoring module. The energy management software algorithm is used for data collection, dispatching control calculation and island protection. The energy management system intelligent control strategy is used for central control of an energy subnetwork based on a hierarchical multi-time scale communication mode.

2. The system of claim 1, wherein, The energy management system intelligent control strategy comprises an energy subnetwork system control mode and a multi-time scale control strategy. The energy subnetwork system control mode is used for local control, centralized control and distribution network dispatching. The multi-time scale control strategy is used for division of guarantee systems and energy subnetwork control modules according to different time scales.

3. The system of claim 2, wherein, The energy subnetwork system control mode comprises a local control layer, a centralized control layer and a distribution network dispatching layer. The local control layer is used for control of loads, photovoltaic power generation systems, wind power generation systems and energy storage systems. The centralized control layer is used for maintaining stability of energy subnetwork voltage and frequency. The distribution network dispatching layer is used for energy coordination control between a distribution network and an energy subnetwork.

4. The system of claim 3, wherein, The multi-time scale control strategy comprises a millisecond level control module, a second level control module and a minute and hour level control module. The millisecond level control module is used for adjustment of tie line power and issuance of instructions for switching between grid connection and off-grid. The second level control module is used for selection of an energy storage system with V / F control function, rated charge and discharge power of an energy storage power regulation system and energy storage energy state satisfying conditions as a main power source by using a black start control algorithm for source and load recovery. The minute and hour level control module is used for energy coordination control between a distribution network and an energy subnetwork.

5. The system of claim 1, wherein, The energy management software algorithm mainly comprises a data collection subprogram, a dispatching control calculation subprogram and an island protection subprogram. The data collection subprogram is used for completion of collection of various types of data in an energy subnetwork, and provides an interface for obtaining data for other programs. The dispatching control calculation subprogram is used for calculation of corresponding control instructions according to an optimal energy dispatching scheme of an energy subnetwork under the premise of guaranteeing stability of the entire system and full utilization of photovoltaic energy. The island protection subprogram is used for monitoring of a power supply state, stopping of energy dispatching and starting of discharge of an energy storage battery when an energy subnetwork is in an island state.

6. The system of claim 1, wherein, The energy management data platform comprises a real-time database, a historical database, running data display and alarm service. The real-time database is used for storing collected remote signaling, remote measurement, remote pulse point data in data sets, and storing according to data receiving frequency of the collection software; The historical database is used for storing historical data and intermediate data after calculation and processing of operation of each device in the energy subnetwork; The operation data display is used for displaying operation data of each device in the energy subnetwork; The alarm service is used for monitoring and alarming remote signaling change, remote measurement overrun, operation information and system information.

7. The system of claim 1, wherein, The energy management monitoring module comprises an energy management system data collection program, data monitoring and system management; The data collection program is used for storing collected data to real-time data according to configuration information; The data monitoring is used for data analysis and fault data analysis; The system management is used for managing relevant information collected by the data collection program.

8. The system of claim 7, wherein, The data collection program supports protocols, including Modbus, 104, 103 and 101 standard communication protocols.

9. The system of claim 7, wherein, The data monitoring analysis data comprises overall data layer data of the energy subnetwork, data of the electrical model layer of the guarantee system, data of the third-party system model layer, historical data analysis layer data and system communication state monitoring layer data.

10. The system of claim 7, wherein, The system management comprises energy subnetwork management, device account, measurement point management and setting system time; The energy subnetwork management is used for classified management of relevant devices of the energy subnetwork; The device account is used for obtaining measurement point information through the energy subnetwork device, and generating account information according to the measurement point information; The measurement point management is used for managing the measurement point information, and parsing the measurement point information into a database; The setting system time is used for setting and calibrating the energy management system time.

11. The system of claim 10, wherein, The measurement point information comprises remote signaling, remote measurement, remote pulse, remote adjustment and remote control; The device types to which the measurement point information is directed comprise AC / DC switch cabinet, photovoltaic power generation system, diesel generator, guarantee system, energy storage system, AC / DC load, circuit breaker, AC / DC power supply line and electric energy meter.

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