WO2020000910A1

WO2020000910A1 - Running control system of alternating current/direct current hybrid distributed system

Info

Publication number: WO2020000910A1
Application number: PCT/CN2018/120053
Authority: WO
Inventors: 刘千杰; 葛亮; 乔峰; 吴家宏; 张雯; 王家华; 吴恒; 陈玉峰
Original assignee: 北京四方继保自动化股份有限公司
Priority date: 2018-06-29
Filing date: 2018-12-10
Publication date: 2020-01-02
Also published as: CN108736522B; CN108736522A

Abstract

A running control system of an alternating current/direct current hybrid distributed system, comprising: an operation management layer, connected to a plurality of energy management layers by means of a cloud network and configured to send a scheduling instruction corresponding to running data comprising power parameters of the energy management layers to the energy management layers; the energy management layers, connected to the alternating current/direct current hybrid distributed system and a coordinated control layer and configured to send, according to the scheduling instruction, a control instruction corresponding to the power parameter of the alternating current/direct current hybrid distributed system to the coordinated control layer; and the coordinated control layer, configured to send the received control instruction to the alternating current/direct current hybrid distributed system, so that the alternating current/direct current hybrid distributed system executes the control instruction. Not only an integrated running control system is provided for a single alternating current/direct current hybrid distributed system, but also a uniform cloud running management mechanism is also provided for a plurality of alternating current/direct current hybrid distributed systems, so that an intelligent solution is provided for a large-scale management system.

Description

Operation control system of AC / DC hybrid distributed system

Technical field

The present disclosure relates to the field of distributed power generation and micro-grids, and in particular, to an operation control system for an AC / DC hybrid distributed system.

Background technique

In traditional AC distribution networks, AC / DC converters are provided for DC loads (such as air conditioners and data servers). Among them, AC / DC converters have problems such as high losses, poor power distribution flexibility, and low matching of power distribution links when performing AC / DC energy conversion. At the same time, with the development of power electronics and new energy technologies, DC systems have advantages More and more prominent, therefore, DC-based distributed systems based on new energy have become an important research and development direction in the field of power distribution. Because the traditional power grid is an AC power grid, in order to solve the problem of the integration of the DC power grid and the AC power grid, an AC-DC hybrid system has emerged at the historic moment, which can not only be compatible with the traditional AC system, but also provide high-efficiency DC power.

Compared with AC systems, DC systems are mostly power electronic devices, the system has a small inertia, and the AC voltage and frequency are only DC voltages. The amount of control is reduced, but due to the existence of distributed power sources, the control complexity increases. The AC / DC hybrid system is more difficult to control because of AC, DC, and AC / DC mixed areas. To sum up, it is urgent to solve the operation control problem of AC / DC hybrid system.

Summary of the invention

In view of this, the present disclosure proposes an operation control system for an AC / DC hybrid distributed system. It can solve the operation control problem of AC / DC hybrid system.

According to an aspect of the present disclosure, an operation control system of an AC / DC hybrid distributed system is provided, including:

An operation management layer, which is connected to a plurality of energy management layers through a cloud network, and is configured to obtain operation data of the plurality of energy management layers, and send dispatch instructions corresponding to each of the operation data to each The energy management layer, the operation data includes a control instruction;

The multiple energy management layers, each of the multiple energy management layers is interconnected with an AC / DC hybrid distributed system and a coordination control layer, and the energy management layer is configured to collect the AC / DC hybrid A power parameter of the distributed system, and sending a control instruction corresponding to the power parameter to the coordination control layer according to the scheduling instruction;

The coordination control layer is configured to send the received control instruction to the AC / DC hybrid distributed system, so that the AC / DC hybrid distributed system executes the control instruction.

In a possible implementation manner, the coordination control layer includes a multi-energy coordination controller;

The multi-energy coordination controller is respectively connected to the energy management layer and the AC / DC hybrid distributed system. The multi-energy coordination controller is configured to obtain a control instruction sent by the energy management layer and send the control instruction. To the AC / DC hybrid distributed system, so that the AC / DC hybrid distributed system executes the control instruction.

In a possible implementation manner, the AC / DC hybrid distributed system includes a power electronic transformer, an AC region, and a DC region;

The AC region and the DC region are respectively connected to a first port and a second port of the power electronic transformer, and the power electronic transformer is connected to an external AC power grid through a third port.

In a possible implementation manner, the power parameter obtained by the energy management layer from the AC / DC hybrid distributed system includes active power of the power electronic transformer, AC power generation system and AC load in the AC area. Active power, the active power of the DC power generation system and the DC load in the DC region;

Control instructions corresponding to the active power of the power electronic transformer, the active power of the AC power generation system and the AC load in the AC area, and the active power of the DC power generation system and the DC load in the DC area include, for controlling A first instruction, a second instruction, and a third instruction of the active power of the first port, the second port, and the third port of the power electronic transformer;

Sending, by the energy management layer, the first instruction, the second instruction, and the third instruction to the multi-energy coordination controller;

The multi-energy coordination controller sends the first instruction, the second instruction, and the third instruction to the first port, the second port, and the third port, respectively.

In a possible implementation manner, when the energy management layer obtains the minimum value of the first objective function through an iterative optimization algorithm according to the first objective function formed by Equations 1 and 2, respectively, the first port, The active power that the second and third ports need to output,

And respectively generating a first instruction, a second instruction, and a third instruction that carry active power that the first port, the second port, and the third port need to output,

Among them, P _HAC is the active power of the third port; _PLAC is the active power of the first port; P _HDC is the active power of the second port; the active power of each port is defined as the output from this port is positive and the input from this port is negative; α (P _LAC ), Β (P _HDC ) are the functions of the first port and the second port with respect to loss, α ₁ and α ₂ are the coefficients of the first and second terms in the function of α (P _LAC ); β ₁ and β ₂ are respectively Is the coefficient of the primary and secondary terms of β (P _HDC ); the energy management layer is based on the active power of the power electronic transformer, the active power of the AC power generation system and the AC load in the AC area, and the The change relationship between the active power of the DC power generation system and the DC load is fitted to obtain α ₁ , α ₂ , β ₁ , β ₂ .

In a possible implementation manner, the AC / DC hybrid distributed system includes a wind energy and / or photovoltaic power generation system, a system load, an energy storage system, a CSP system, and an energy storage system;

The power parameters obtained by the energy management layer from the AC / DC hybrid distributed system include the wind and / or photovoltaic power generation system, the energy storage system, the system load, the CSP system, and the The average active power of the thermal storage system during the first time period;

The control instructions corresponding to the average active power of the wind energy and / or photovoltaic power generation system, the energy storage system, the system load, the CSP system and the thermal storage system in the second time period include: Sixth and seventh instructions for controlling the active power of the wind and / or photovoltaic power generation system, the energy storage system, the system load, the CSP system and the thermal storage system in a second time period Instruction, eighth instruction, ninth instruction, and tenth instruction, the second time period is later than the first time period;

The energy management layer sends the sixth instruction, the seventh instruction, the eighth instruction, the ninth instruction, and the tenth instruction to the multi-energy coordination controller;

The multi-energy coordination controller sends the sixth instruction, the seventh instruction, the eighth instruction, the ninth instruction, and the tenth instruction to the wind energy and / or photovoltaic power generation system, respectively, The energy storage system, the system load, the CSP system, and the heat storage system.

In a possible implementation manner, the durations of the first time period and the second time period are the same length, and the energy management layer respectively obtains the first and second iterations through an iterative optimization algorithm according to a second objective function formed by Equations 3 and 4. When the two objective functions take the maximum value, the active power of the wind energy and / or photovoltaic power generation system, the energy storage system, the system load, the CSP system and the thermal storage system in a second time period,

And generating the sixth carrying the active power of the wind and / or photovoltaic power generation system, the energy storage system, the system load, the CSP system, and the thermal storage system in a second time period, respectively. Instruction, the seventh instruction, the eighth instruction, the ninth instruction, and the tenth instruction,

Among them, ΔT is the duration of the first time period and the second time period; t represents each time point of the average distribution in ΔT, and P _dg (t) represents the active power output by the wind energy and / or photovoltaic power generation system in the first time period The average value of power; P _{dg_pre} (t) represents the average value of the active power that the wind and / or photovoltaic power generation system needs to output in the second time period; μ (t) represents the prediction accuracy function corresponding to P _{dg_pre} (t); γ represents wind power and / or photovoltaic electricity price; P _L (t) represents the average value of the active power output by the system load during the first time period; P _{L_pre} (t) the active power of the system load that needs to be output during the second time period Average value; θ (t) represents the prediction accuracy function corresponding to _{PL_pre} (t);

Represents the electricity price of the system load; P _b (t) is the average value of the active power output by the energy storage system during the first time period; P _{b_pre} (t) is the average value of the active power output by the energy storage system during the second time period Value; P _Q (t) represents the average value of active power output by the _CSP system during the first time period; P _{Q_pre} (t) represents the average value of active power output by the _CSP system during the second time period ; Q (t) is the real-time heat stored by the heat storage system; Q _C (t) is the heat lost by the heat storage system; Q _min and Q _max represent the allowed minimum and maximum heat storage of the heat storage device respectively; P _{Q_allpre} (t) It represents the average value of the equivalent active power of the total heat output that the heat storage system needs to output during the second time period.

In a possible implementation manner, the coordination control layer further includes a protection device, the protection device is connected to the AC / DC hybrid distributed system, and the protection device is configured to perform fault removal for a fault of the AC / DC hybrid distributed system The protection device comprises an AC protection device and a DC protection device, the AC protection device is connected to an AC area of the AC-DC hybrid distributed system, and is used for fault removal for a fault in the AC area, and the DC protection The device is connected to a DC region of the AC / DC hybrid distributed system, and is configured to perform fault removal for a fault in the DC region.

In a possible implementation manner, the energy management layer includes:

A pre-collection server, which is connected to the AC / DC hybrid distributed system and is configured to collect power parameters of the AC / DC hybrid distributed system;

A data server, which is connected to the front-end acquisition server and is configured to obtain the power parameter collected by the front-end acquisition server;

An application server, which is respectively connected to the data server and the coordination control layer, and is configured to send a control instruction corresponding to the power parameter to the coordination control layer.

In a possible implementation manner, the energy management layer, the AC / DC hybrid distributed system, and the coordinated control layer are connected to each other in a one-to-one correspondence.

The operation control system of the AC / DC hybrid distributed system of the present disclosure adopts a three-layer, two-level control system architecture. The three layers include a coordination control layer, an energy management layer, and an operation management layer; the two levels include: a station-level energy control system and cloud operations. Management system. Among them, the coordination control layer and the energy management layer are station-level energy control systems. The energy management layer collects the power parameters of the AC / DC hybrid distributed system, and sends the control instructions corresponding to the power parameters to the coordination control layer according to the dispatch instruction; the coordination control The layer sends the received control instructions to the AC / DC hybrid distributed system, so that the AC / DC hybrid distributed system executes the control instructions, thereby realizing the control of the operation of the single AC / DC hybrid distributed system based on the real-time data of the single AC / DC hybrid distributed system. ; The operation management layer is a cloud operation management system. The operation management layer obtains operation data including control instructions from multiple energy management layers, and sends dispatch instructions corresponding to each operation data to each energy management layer to enable energy management. The system sends control instructions to the coordination control layer according to the scheduling instructions. This achieves unified operation management and scheduling of multiple AC-DC hybrid distributed systems. In this way, the operation control system of the AC / DC hybrid distributed system of the present disclosure not only provides an integrated operation control system for a single AC / DC hybrid distributed system, but also provides a unified cloud operation management mechanism for multiple AC / DC hybrid distributed systems. This provides intelligent solutions for large-scale management of multiple AC-DC hybrid distributed systems.

Other features and aspects of the present disclosure will become apparent from the following detailed description of exemplary embodiments with reference to the accompanying drawings.

BRIEF DESCRIPTION OF THE DRAWINGS

The accompanying drawings, which are incorporated in and constitute a part of the specification, together with the description, illustrate exemplary embodiments, features, and aspects of the disclosure and serve to explain the principles of the disclosure.

Fig. 1 is a schematic diagram of a system architecture of an operation control system of an AC / DC hybrid distributed system according to an exemplary embodiment.

Fig. 2 is a networking diagram of an energy management layer according to an exemplary embodiment.

Fig. 3 is a schematic diagram of a system architecture of an energy management layer according to an application example.

Fig. 4 is a networking diagram of an operation management layer according to an application example.

Fig. 5 is a schematic diagram showing an AC / DC hybrid distributed system according to an application example.

detailed description

Various exemplary embodiments, features, and aspects of the disclosure will be described in detail below with reference to the drawings. The same reference numerals in the drawings represent the same or similar elements. Although various aspects of the embodiments are shown in the drawings, the drawings are not necessarily drawn to scale unless specifically noted.

The word "exemplary" as used herein means "serving as an example, embodiment, or illustration." Any embodiment described herein as "exemplary" is not necessarily to be construed as superior or better than other embodiments.

In addition, in order to better illustrate the present disclosure, numerous specific details are given in the detailed description below. Those skilled in the art should understand that the present disclosure can be implemented without certain specific details. In some examples, methods, means, components, and circuits that are well known to those skilled in the art have not been described in detail in order to highlight the gist of the present disclosure.

Fig. 1 is a schematic diagram of a system architecture of an operation control system of an AC / DC hybrid distributed system according to an exemplary embodiment. As shown in FIG. 1, the operation control system of the AC / DC hybrid distributed system may include:

In the present disclosure, the AC / DC hybrid distributed system can be represented as a micro-grid composed of a mixture of AC and DC regions. Generally speaking, a micro-grid can be represented as a small power generation and distribution system composed of distributed power sources, energy storage devices, energy conversion devices, loads, monitoring and protection devices, and the like.

In a possible implementation manner, in a possible implementation manner, the energy management layer, the AC / DC hybrid distributed system, and the coordinated control layer are connected to each other in a one-to-one correspondence.

As an example of this embodiment, as shown in FIG. 1, the energy management layer and the coordination control layer may be connected to the AC / DC hybrid distributed system through wired connections (for example, optical fiber or Ethernet control information network), and the energy management layer may Collect the power parameters of the AC / DC hybrid distributed system (for example, the power parameters can be current values, voltage values, etc.), generate and send a control instruction corresponding to the power parameter to the coordination control layer, the coordination control layer receives the control instruction, and The control instruction is forwarded to the AC / DC hybrid distributed system, and the AC / DC hybrid distributed system can receive and execute the control instruction. The energy management layer may store the correspondence between the power parameter and the control instruction in advance to determine the control instruction corresponding to the power parameter, and may also carry the power parameter in the control instruction. (For example, if the control instruction carries a voltage value a of the system voltage, the AC / DC hybrid distributed system may control the system voltage of the AC / DC hybrid distributed system to the voltage value a when the control instruction is executed.) The operation management layer can connect multiple energy management layers through the cloud network to obtain the operation data of each energy management layer, and can generate scheduling instructions based on the operation data of each energy management layer (for example, if the operation data includes the generation of each energy management layer) The control rules that are preset in the operation management layer are the rules for generating control instructions. When multiple control instructions are generated at the same time, multiple control instructions are generated to control the energy management layer corresponding to each control instruction at different points in time. A control instruction is issued to the coordination control layer, wherein the correspondence between the running data and the scheduling instruction can be set in advance, and the corresponding scheduling instruction is obtained according to the running data).

The energy management layer controls the AC / DC hybrid distributed system according to the dispatching instruction (for example, if the dispatching instruction includes: the energy management layer sends the control instruction to the coordination control layer at the first time point, the energy management layer can send the control according to the dispatching instruction The instruction is issued to the coordinated control layer at the first time point, and the coordinated control layer forwards the received control instruction to the AC / DC hybrid distributed system to enable the AC / DC hybrid distributed system to execute the control instruction). In this way, the operation management layer realizes In addition to the unified management and scheduling of multiple AC / DC hybrid distributed systems (such as controlling the timing of control instructions issued by multiple energy management layers), in addition, the operation management layer can also generate analysis results based on the operating data of each energy management layer. And displayed in the display interface of the operation management for the reference of decision makers.

In a possible implementation manner, as shown in FIG. 1, the energy management layer may include an AC-DC hybrid distributed energy management system and a network security device, where the AC-DC hybrid distributed energy management system passes the network security device and The cloud network is connected to the operation management layer to ensure the system security of the AC / DC hybrid distributed energy management system. The energy management system is based on an intelligent integrated monitoring platform, and is composed of independent application function subsystems. The interaction between the application functional subsystems and the modules within the function is mainly realized by using the database access interface and the message bus in the platform system. Each application functional subsystem can mainly include: a meteorological and power generation prediction subsystem for collecting meteorological data and performing power generation prediction based on the meteorological data, a power load prediction subsystem for predicting changes in electric load, and a Hot and cold load forecasting subsystem, power flow optimization control subsystem for optimizing power flow transfer, multi-energy complementary optimization control subsystem for users to dispatch energy in different DC and AC areas, local for calculating local electrical energy economy of AC / DC hybrid distributed system Economic dispatch management subsystem.

In a possible implementation manner, as shown in FIG. 1, the operation management layer may include Internet users (for example, laptop computers, smartphones, etc.), network security devices, and a distributed renewable energy operation management system based on a cloud platform. Among them, Internet users can directly connect with the energy management layer through the cloud network. Internet users can obtain and display the operating data of the energy management layer to achieve real-time monitoring of the energy management layer. The distributed renewable energy operation management system based on the cloud platform can Connected with the energy management layer through the network security device and the cloud network in order to ensure the system security of the distributed renewable energy operation management system based on the cloud platform. In addition, the distributed renewable energy operation management system based on the cloud platform is based on an intelligent integrated monitoring platform and is composed of independent application function subsystems. The interaction between the application functional subsystems and the modules within the function is mainly realized by using the database access interface and the message bus in the platform system. The cloud platform-based distributed renewable energy operation management system may include a multi-decentralized system that generates control instructions based on operating data of the energy management layer and a coordinated dispatching subsystem of the power grid, and a cloud operation and maintenance management subsystem for maintaining the normal operation of the system And a cloud data collection monitoring subsystem for collecting operating data of the energy management layer and monitoring the operation of the energy management layer.

As an example of this embodiment, as shown in FIG. 1, the multi-energy coordination control layer may include a multi-energy coordination controller; the multi-energy coordination controller is respectively connected to the energy management layer and the AC / DC hybrid distribution. System, the multi-energy coordination controller is configured to obtain a control instruction sent by the energy management layer, and send the control instruction to the AC / DC hybrid distributed system to enable the AC / DC hybrid distributed system to execute The control instruction.

Among them, different AC / DC hybrid distributed systems can be connected to the energy management layer through different multi-energy coordination controllers. The multi-energy coordination controller can receive the control instruction generated by the energy management layer, and forward the control instruction to the AC / DC hybrid distributed system connected to it, so that the AC / DC hybrid distributed system executes the instruction.

In a possible implementation manner, multiple AC / DC hybrid distributed systems may also be connected to the energy management layer through a multi-energy coordination controller, which is not limited herein.

In a possible implementation manner, the AC / DC hybrid distributed system may include a power electronic transformer, an AC area, and a DC area; the AC area and the DC area are respectively connected to a first port of the power electronic transformer And a second port, the power electronic transformer is connected to an external AC grid through a third port. The control instruction corresponding to the active power of the power electronic transformer, the active power of the AC power generation system and the AC load in the AC area, and the active power of the DC power generation system and the DC load in the DC area may include: A first instruction, a second instruction, and a third instruction that control active power of a first port, a second port, and a third port of the power electronic transformer. The energy management layer sends the first instruction, the second instruction, and the third instruction to the multi-energy coordination controller. The multi-energy coordination controller sends the first instruction, the second instruction, and the third instruction to the first port, the second port, and the third port, respectively.

For example, the multi-energy coordination controller may include a fourth port, a fifth port, and a sixth port, and the fourth port, the fifth port, and the sixth port may pass through the optical fiber or the Ethernet information network and the first port of the power electronic transformer, respectively. , The second port and the third port are connected. The multi-energy coordination controller can save the connection relationship between the fourth port, the fifth port, and the sixth port, and the first port, the second port, and the third port (for example, the fourth port, the fifth port, and the sixth port, and A mapping relationship list of the identifiers of the first port, the second port, and the third port).

The energy management layer can generate the first command, the first command corresponding to the collected active power of the power electronic transformer, the active power of the AC power generation system and the AC load in the AC area, and the active power of the DC power generation system and the DC load in the DC area. Two instructions and a third instruction, wherein the first instruction, the second instruction, and the third instruction may carry the first active power, the second active power, and the third active power that the first port, the second port, and the third port need to output, respectively. Power, and identification of the first, second, and third ports.

For example, the energy management layer may obtain the minimum value of the first objective function through the iterative optimization algorithm according to the first objective function formed by Equations 1 and 2, respectively. The first port, the second port, and the third port need to output. The first active power, the second active power, and the third active power, and respectively generate a first instruction, a second instruction, and a third instruction that carry the first active power, the second active power, and the third active power.

Among them, P _HAC is the active power of the third port, that is, the third active power; _PLAC is the active power of the first port, that is, the first active power; P _HDC is the active power of the second port, that is, the second active power; The port output is positive, and the input from this port is negative; α (P _LAC ), β (P _HDC ) are the functions of the first port and the second port with respect to loss, and α ₁ and α ₂ are the functions of α (P _LAC ). The coefficients of the primary and secondary terms of β; β ₁ and β ₂ are the coefficients of the primary and secondary terms of β (P _HDC ), respectively; the energy management layer is based on the active power of the power electronic transformer and the AC in the AC area The active power of the power generation system and the AC load, and the change relationship between the active power of the DC power generation system and the DC load in the DC region is fitted to obtain α ₁ , α ₂ , β ₁ , β ₂ .

Then, the energy management layer may send the first instruction, the second instruction, and the third instruction to the multi-energy coordination controller. The multi-energy coordination controller may determine to pass the first instruction through the fourth port according to the identifiers of the first port, the second port, and the third port carried in the first command, the second command, and the third command, and the foregoing mapping relationship list. The first command is sent to the power electronic transformer, the second command is sent to the second port of the power electronic transformer through the fifth port, and the third command is sent to the third port of the power electronic transformer through the sixth port.

The first port, the second port, and the third port of the power electronic transformer can control the output active power to the first active power, the second active power, and the third active power according to the first instruction, the second instruction, and the third instruction, respectively. .

Since the first port, the second port, and the third port of the power electronic transformer output the first active power, the second active power, and the third active power, respectively, the loss of the power electronic transformer is the smallest, and the present disclosure can thus be implemented based on real-time power Parameters realize the optimal control of AC / DC hybrid distributed system. The present disclosure can be widely applied to the operation control of an AC / DC hybrid distributed system including a power electronic transformer, thereby improving the operation efficiency of the system.

It should be noted that those skilled in the art can select an appropriate frequency (for example, every 10 minutes) to control the energy management layer to collect the active power of the power electronic transformer, the active power of the AC power generation system and the AC load in the AC area. The active power of the DC power generation system and the DC load in the area, and fitting with an appropriate algorithm model (such as support vector method) to obtain α ₁ , α ₂ , β ₁ , β ₂ to ensure that the objective function can more accurately simulate the system Characteristics. An appropriate iterative optimization algorithm (such as a gradient descent method) may also be selected to calculate the first active power, the second active power, and the third active power, which is not limited in the present disclosure.

In a possible implementation manner, there may be one or more power electronic transformers, AC areas, and mainstream areas, which are not limited herein. For example, an AC / DC hybrid distributed system can include two power electronic transformers. In this way, when one power electronic transformer fails, the other power electronic transformer can still ensure the stable operation of the AC / DC hybrid distributed system.

As an example of this embodiment, as shown in FIG. 1, the AC / DC hybrid distributed system may include a wind and / or photovoltaic power generation system, a system load, an energy storage system, a solar thermal power generation system, and a thermal storage system; The power parameters obtained by the energy management layer from the AC / DC hybrid distributed system may include the wind and / or photovoltaic power generation system, the energy storage system, the system load, the CSP system, and the The average active power of the thermal storage system in the first time period; in the second with the wind and / or photovoltaic power generation system, the energy storage system, the system load, the CSP system and the thermal storage system The control instruction corresponding to the average active power in the time period may include, for controlling the wind and / or photovoltaic power generation system, the energy storage system, the system load, the CSP system and the heat storage system. The sixth instruction, the seventh instruction, the eighth instruction, the ninth instruction, and the tenth instruction of the active power in the second time period, the second time period is later than the first time period; the energy management layer will The sixth instruction, the seventh instruction, the eighth instruction, the ninth instruction, and the tenth instruction are sent to the multi-energy coordination controller; the multi-energy coordination controller sends the sixth instruction Instruction, the seventh instruction, the eighth instruction, the ninth instruction, and the tenth instruction are sent to the wind and / or photovoltaic power generation system, the energy storage system, the system load, the The solar thermal power generation system and the thermal storage system are described.

For example, the first time period may be the same length as the second time period. The energy management layer may use an iterative optimization algorithm (such as genetic algorithm, particle optimization algorithm, or A combination of optimization algorithms based on multiple algorithms) When obtaining the maximum value of the second objective function respectively, the wind energy and / or photovoltaic power generation system, energy storage system, system load, CSP system and thermal storage system Four active powers, fifth active power, sixth active power, seventh active power, and eighth active power, and generate fourth active power, fifth active power, sixth active power, seventh active power, and eighth active power, respectively. The sixth, seventh, eighth, ninth, and tenth instructions of active power.

Among them, ΔT is the duration of the first time period and the second time period; t represents each time point of the average distribution in ΔT, and P _dg (t) represents the active power output by the wind energy and / or photovoltaic power generation system in the first time period The average value of power; P _{dg_pre} (t) represents the average value of the active power that the wind and / or photovoltaic power generation system needs to output in the second period, that is, the fourth active power; μ (t) represents the corresponding P _{dg_pre} (t) Prediction accuracy function; γ represents wind and / or photovoltaic electricity price; P _L (t) represents the average value of active power output by the system load during the first time period; P _{L_pre} (t) system load is within the second time period The average value of the active power that needs to be output, that is, the sixth active power; θ (t) represents the prediction accuracy function corresponding to _{PL_pre} (t);

Represents the electricity price of the system load; P _b (t) is the average value of the active power output by the energy storage system during the first time period; P _{b_pre} (t) is the average value of the active power output by the energy storage system during the second time period Value, that is, the fifth active power; P _Q (t) represents the average value of the active power output by the _CSP system in the first period; P _{Q_pre} (t) represents the _CSP system needs to output in the second period The average value of the active power, that is, the seventh active power; Q (t) is the real-time heat stored in the heat storage system; Q _C (t) is the heat lost by the heat storage system; Q _min and Q _max respectively represent the Allowable minimum and maximum heat storage; P _{Q_allpre} (t) represents the average value of the equivalent active power of the total heat output of the thermal storage system in the second period, that is, the eighth active power.

In this example, generally speaking, a wind power generation system can be expressed as a system that converts the kinetic energy of wind to electrical energy; a photovoltaic power generation system can be expressed as a system that directly converts light energy into electrical energy using the photovoltaic effect of a semiconductor interface; light A thermal power generation system can be expressed as a system that generates heat from the sun, provides steam through a heat exchange device, and combines traditional turbo-generators to generate electricity; an energy storage system can be used to store wind and / or photovoltaic power generation systems and CSP systems Excessive electrical energy can be provided to the AC / DC hybrid distributed system when the power generated by each power generation system in the AC / DC hybrid distributed system is insufficient. The thermal storage system can be used to store excess thermal energy generated during the operation of the CSP system and the AC / DC hybrid distributed system. When the CSP system needs thermal energy, the thermal storage system can provide thermal energy to the CSP system.

The energy management layer may send the sixth instruction, the seventh instruction, the eighth instruction, the ninth instruction, and the tenth instruction to the multi-energy coordination controller. The multi-energy coordination controller can forward the sixth, seventh, eighth, ninth, and tenth instructions to wind and / or photovoltaic power generation systems, energy storage systems, system loads, CSP systems, and heat storage system. Wind and / or photovoltaic power generation systems, energy storage systems, system loads, CSP systems and thermal storage systems can adjust their respective active power to the fourth active power, the fifth active power, the sixth active power, and the seventh active power, respectively. Power and eighth active power.

As the wind and / or photovoltaic power generation system, energy storage system, system load, CSP system and thermal storage system can adjust their respective active power to the fourth active power, the fifth active power, the sixth active power, the seventh When the active power and the eighth active power are used, the AC / DC hybrid distributed system can maximize the use of clean energy such as light, wind, and solar thermal power in the system, so it can achieve distributed renewable energy in the system based on real-time data. Utilization rate to provide integrated intelligent solutions for new energy local consumption.

As shown in FIG. 1, the multi-energy coordination controller may include an AC local controller and a DC local controller. Wind energy and / or photovoltaic power generation systems may include DC wind energy and / or photovoltaic power generation systems and AC wind energy and / or photovoltaic power generation systems; system loads may include DC loads and AC loads; energy storage systems may include DC energy storage systems and AC energy storage System; CSP system can include DC CSP system and AC CSP system; heat storage system can include DC heat storage system and AC heat storage system. The multi-energy coordination controller can be connected to the AC wind energy and / or photovoltaic power generation system, AC load, AC energy storage system, AC solar thermal power generation system and AC heat storage system through the local controller of the AC area; the multi-energy coordination controller can also be The DC area local controller is connected to a DC wind energy and / or photovoltaic power generation system, a DC load, a DC energy storage system, a DC solar thermal power generation system, and a DC heat storage system.

The multi-energy coordination controller may distribute the instructions contained in the sixth, seventh, eighth, ninth, and tenth instructions for controlling the DC region to the DC wind energy and / or DC controller in situ. Photovoltaic power generation systems, DC loads, DC energy storage systems, DC thermal power generation systems, and DC heat storage systems; the sixth, seventh, eighth, ninth, and tenth directives are used to control AC The zone instructions are distributed to the flow wind energy and / or photovoltaic power generation system, the AC load, the AC energy storage system, the AC solar thermal power generation system, and the AC heat storage system via the AC area local controller. This enables separate control of the DC region and the AC region.

As an example of this embodiment, as shown in FIG. 1, the coordination control layer may further include a protection device, the protection device is connected to the AC / DC hybrid distributed system, and the protection device is used for the AC / DC hybrid distributed system. System failure is removed.

In a possible implementation manner, the protection device includes an AC protection device, and the AC protection device is connected to an AC area of the AC / DC hybrid distributed system, and is configured to perform fault removal for a fault in the AC area. The protection device further includes a DC protection device, and the DC protection device is connected to a DC area of the AC / DC hybrid distributed system, and is configured to perform fault removal for a fault in the DC area.

For example, among them, the AC protection device can protect the bus bar in the AC area and its outgoing line; the DC protection device can protect the bus bar in the DC area and its outgoing line. Considering that the AC fault requirements in the distribution network are mostly in the range of 30-50ms, the protection action of the AC protection device is controlled by the output of the hard node (that is, the protection method of using the bus in the AC area and the outgoing line connected to the relay protection device) . Considering that the fault process in the DC system occurs quickly, fast control is required, but only the conventional hard node open relay action time is about 10ms, so it is not suitable to use the hard node open. DC protection device and DC hybrid distributed system power electronics equipment, The fault current controller and other equipment use the faster IEC60044-8 communication protocol, and at the same time effectively prevent interference signals from interfering with each power electronic device in the AC / DC hybrid distributed system through optical fibers, so as to achieve fast action within 10ms and ensure the DC area. The fault was removed in time.

Among them, the coordination control layer may include both a multi-energy coordination controller and a protection device, so as to realize the integration of protection and control.

Fig. 2 is a networking diagram of an energy management layer according to an exemplary embodiment. As shown in FIG. 2, the energy management layer may include:

In a possible implementation, the data acquisition server can use SCADA (Supervisory Control and Data Acquisition). The SCADA system is a computer-based DCS (Distributed Control System) and electric power. Automated monitoring system; SCADA system can be applied to many fields such as data acquisition and monitoring control and process control in power, metallurgy, petroleum, chemical, gas, railway and other fields.

In a possible implementation manner, as shown in FIG. 2, the energy management layer may further include a plurality of workstations for displaying the working interface of the energy management layer, so that managers can implement monitoring and monitoring of the working status of the energy management layer.

In an application example, as shown in FIG. 1, the operation control system of the AC / DC hybrid distributed system of the present disclosure adopts a hierarchical distributed control architecture, and is designed with a total of three layers: a coordination control layer, an energy management layer, and an operation management layer. Among them, the coordination control layer and the energy management layer can be a station-level control system, which mainly implements the optimized operation of a single AC / DC hybrid distributed system; the operation management layer can be a cloud operation level, which mainly implements multiple AC / DC hybrid distributed systems. Carry out unified operation management and scheduling. In the optimization of station-level energy, in order to realize the intelligentization of station-level control, the control system and the protection system are effectively integrated, the integration of control and protection is realized, and the intelligence of the system is improved.

In order to achieve station-level energy optimization management, an energy optimization algorithm is designed in the energy management layer. On the one hand, the prediction of multiple types of distributed renewable energy and loads is realized through related prediction functions; on the other hand, the optimal scheduling and management of the system is realized through the power flow optimization and multi-energy complementary optimization algorithms to maximize the realization of distributed Local consumption of renewable energy improves the overall operating efficiency of the system.

Among them, the control part of the coordination control layer may include a multi-energy coordination controller and an area local controller, and the area local controller is divided into an AC area local controller and a DC area local controller according to the AC / DC hybrid system. The protection part of the coordination control layer is mainly composed of two types of AC protection devices and DC protection devices.

As an area local controller in the coordinated control layer, the area local controller can adopt the IEC61850GOOSE fast communication protocol for distributed renewable energy (for example, wind and / or photovoltaic power generation systems, energy storage, etc.) through optical fiber or Ethernet communication. System, system load, CSP system, and thermal storage system) to achieve rapid control of distributed renewable energy.

The multi-energy coordination controller can control the local controllers in the AC and DC areas. At the same time, it can also control and adjust the AC / DC hybrid distributed system by controlling the power electronic transformer. As shown in Figure 1, the multi-energy coordination controller can interact with power electronic transformers through optical fibers to achieve rapid adjustment of AC-DC hybrid distributed systems, thereby ensuring stability in the AC and DC areas. Similarly, the multi-coordination controller and the local local controller can communicate through optical fiber or Ethernet, and the communication protocol can adopt the IEC61850GOOSE fast communication protocol.

The protection device is the protection part of the coordination control layer. As shown in Figure 1, the protection device can include two types of AC protection device and DC protection device. The AC protection device can protect the bus bar in the AC area and its outgoing lines; the DC protection device It can protect the busbars in the DC area and the connected cables. Considering that the AC fault requirements in the distribution network are mostly in the range of 30-50ms, the protection action of the AC protection device is controlled by the output of the hard node (that is, the protection method of using the bus in the AC area and the outgoing line connected to the relay protection device) . Considering that the fault process in the DC system occurs quickly, fast control is required, but only the conventional hard node open relay action time is about 10ms, so it is not suitable to use the hard node open. DC protection device and DC hybrid distributed system power electronics equipment, The fault current controller and other equipment use the faster IEC60044-8 communication protocol, and at the same time effectively prevent interference signals from interfering with each power electronic device in the AC / DC hybrid distributed system through optical fibers, so as to achieve fast action within 10ms and ensure the DC area. The fault was removed in time.

The energy management layer mainly implements optimized management of a single AC / DC hybrid distributed system. The energy management system mainly deploys station-level energy management system software. Fig. 2 is a networking diagram of an energy management layer according to an exemplary embodiment. As shown in FIG. 2, the energy management layer may include a front-end acquisition server, a Web (World Wide Web) server, a SCADA data server, an application function server, a workstation, and a network security device. The pre-collection server mainly interacts with the equipment on the station; the SCADA data server mainly manages the data in a unified manner, and connects with the pre-collection server, Web server, and application function server to provide data interaction services; the Web server mainly implements remote network display Data interaction with the cloud platform; application function server is the core server of the energy management system, which mainly implements the calculation of application functions, and can interact with the cloud platform through the web server in terms of application functions, thereby providing AC / DC hybrid distributed systems Optimize operation services; workstations are mainly used for monitoring and control of operation and maintenance personnel in the station.

Fig. 3 is a schematic diagram of a system architecture of an energy management layer according to an application example. As shown in Figure 3, the energy management layer's optimized management method for the AC / DC hybrid distributed system is mainly implemented by station-level energy management system software. The energy management system is based on an intelligent integrated monitoring platform, and is composed of independent application function subsystems. The interaction between the application functional subsystems and the modules within the function is mainly realized by using the database access interface and the message bus in the platform system. Each application function subsystem mainly includes: meteorology and power generation prediction, power load prediction, cold and heat load prediction, power flow optimization control, multi-energy complementary optimization control, and local economic dispatch management functions.

Fig. 4 is a networking diagram of an operation management layer according to an application example. As shown in Figure 4, operational management is mainly based on cloud technology. The cloud-based distributed renewable energy operation management system is mainly composed of two parts: private cloud and public cloud, and its core functions are based on the private cloud.

As shown in Figure 4, the public cloud of the operation management layer is mainly responsible for the public business part, which mainly provides calculation and analysis result data and report data for users to visit and browse. The private cloud of the operation management layer can include: Web server, database server, application server, used for data interaction, storage, and calculation of application functions. The private cloud and the public cloud are connected through a dedicated channel of the operator, and in order to achieve network security, the dedicated channel is encrypted using a VPN (Virtual Private Network), and a network security device is set in the private cloud area.

The private cloud part of the operation management layer is connected to each AC-DC hybrid distributed system through a dedicated VPN encrypted channel, and then calculated by the application function server to generate relevant analysis data and operation scheduling instructions. Among them, the analysis results accessible by ordinary users are sent to the public cloud part via the web server and managed by the public cloud server, so that such data can be viewed and browsed through the public network. The analysis data and scheduling instructions dedicated to operators are displayed through workstations and integrated displays in the private cloud. At the same time, operators can perform comprehensive scheduling based on the analysis data and scheduling instructions, such as confirming that certain scheduling instructions can be issued, or based on The analysis results are comprehensively dispatched, so as to provide implementation means for unified and coordinated management and control of multiple AC / DC hybrid distributed systems.

Fig. 5 is a schematic diagram showing an AC / DC hybrid distributed system according to an application example. As shown in Figure 5, this AC-DC hybrid distributed system can include two power electronic transformers, a 10kV DC area (an example of a DC area), a ± 375V DC area (an example of a DC area), and a 380V AC area (an example of an AC area). ), And a 10kV AC area that interacts with the grid (example of an AC area). Each power electronic transformer has 4 voltage level ports (examples of the first port, the second port, and the third port), and the two power electronic transformers are connected back-to-back (that is, the back-to-back connection is a direct connection. That is, two The station equipment is not connected through the communication network, but directly connected by a cable. The sending equipment needs to connect the output directly to the input of the receiving equipment).

As shown in Figure 5, in the 10kV DC area, a 500KWp DC photovoltaic power generation system and a 500KW adjustable load are connected to the 10KV DC bus, and the 10KV bus is connected to the 10KV DC ports of the power electronic transformers SST1 and SST2 (the second port's Example), the maximum active power limit of the 10KV port of SST1 is 1MW, the maximum active power limit of the 10KV port of SST2 is 0.5MW; in the ± 375V DC area, a 100KWp DC photovoltaic power generation system, 200KW / 0.5MWh DC storage The energy system and the local DC load of 160KW are connected to the ± 375V DC bus respectively. The two ends of the ± 375V DC bus are connected to the ± 375V DC ports (example of the second port) of the power electronic transformers SST1 and SST2, and the ± 375V port of SST1. The maximum active power limit is 1MW, and the maximum active power limit of the ± 375V port of SST2 is 1MW; in a 380V AC area, a 200KWp AC photovoltaic power generation system, a 400KW AC load, and a 250KW / 1.24MWh AC energy storage system, respectively Connected to the 380V AC bus, both ends of the 380V AC bus are connected to the 380V AC ports (example of the first port) of the power electronic transformers SST1 and SST2, respectively. The maximum active power limit of the 380V port is 1MW, and the maximum active power limit of the 10KV port of SST2 is 0.75MW; the external 10KV AC grid is connected to the 10KV AC ports of the power electronic transformers SST1 and SST2 (example of the third port), The maximum active power limit of the 10KV port of SST1 is 1MW, and the maximum active power limit of the 10KV port of SST2 is 0.75MW.

As a power flow optimization control function of a station-level energy management system, a mathematical model of power electronic transformer losses is constructed based on multifunctional power electronic transformers, and an engineering parameter setting method is proposed, and then a power electronic transformer cluster efficiency is proposed. Optimal solution and control method.

As a power electronic transformer included in an AC / DC hybrid distributed system, there are 4 ports, and each port has bidirectional fluidity, so only consider ± 375V DC area (example of DC area), 380V AC area (AC area) Example), 10KV DC area and 10kV AC area interacting with the power grid ± 375VDC port (example of the second port), 380VAC port (example of the first port), 10KVDC port (example of the second port) connected to the power electronics transformer ) And the real-time surface functions of the active power power of the 10kVAC port (an example of the third port) and the power electronics transformer's own loss, as shown in Equation 5:

Wherein, P _HAC 10kVAC port is active; P _LAC 380VAC port is active; P _HDC 10kVDC port is active; P _LDC is active ± 375VDC port; active port from the output port are each defined as a positive input from the port Negative; α (P _LAC ), β (P _HDC ), and λ (P _LDC ) are functions of loss of 380VAC port, 10kVDC port, and ± 375VDC port, respectively.

Considering the three functions α (P _LAC ), β (P _HDC ) and λ (P _LDC ) are difficult to determine theoretically, an engineering method is proposed. Set α (P _LAC ), β (P _HDC ), λ (P _LDC ) as the functions shown in Equation 6:

Among them, α ₁ and α ₂ are the coefficients of the first and second terms in the α (P _LAC ) function; β ₁ and β ₂ are the coefficients of the first and second terms of the β (P _HDC ); λ ₁ , λ ₂ are the coefficients of the first and second terms of λ (P _HDC ), respectively. The above coefficients α ₁ , α ₂ , β ₁ , β ₂ , λ ₁ , λ ₂ can be obtained by fitting the measured data of a plurality of sets of power electronic transformers, and a loss model of a single power electronic transformer is determined according to Equations 5 and 6.

Further, as shown in FIG. 2, for the AC / DC hybrid distributed system in which the power electronic transformer SST1 and the power electronic transformer SST2 are back-to-back connected, the power electronic transformers SST1 and SST2 are respectively connected to the distribution network through their respective 10kVAC ports, and are respectively The respective 380VAC port, 10kVDC port, and ± 375VDC port of the two are connected to the 380V AC area, the 10kV DC area, and the ± 375V DC area, respectively. If the efficiency of the power electronic transformer cluster is to be optimized, it is necessary to minimize the power electronic transformer cluster loss. Therefore, the optimal objective function of the power electronic transformer cluster efficiency is:

Among them, δ (pet1, pet2) are the cluster loss functions of two power electronic transformers; δ _pet1 and δ _pet2 are the losses of the two power electronic transformers, respectively. Considering that two units operate in a back-to-back manner, in addition to the power conservation constraints of each port of a single unit, the following constraints must be met:

Among them, ΣP _LAC , ΣP _HDC , and ΣP _LDC are the algebraic sum of power and load on the buses of 380VAC, 10kVDC, and ± 375VDC, respectively. P _{LAC, 1} is the active power of the 380VAC port of the electronic transformer SST1, P _{LAC, 2} is the active power of the 380VAC port of the electronic transformer SST2, P _{HDC, 1} is the active power of the 10kVDC port of the electronic transformer SST1, P _{HDC, 2} is The active power of the 10kVDC port of the electronic transformer SST2 is the active power of the ± 375VDC port of the electronic transformer SST1, and P _{LDC, 2} is the active power of the ± 375VDC port of the electronic transformer SST2. The optimal objective function of the efficiency of the AC / DC hybrid distributed system including two power electronic transformers is obtained, and iterative optimization is performed with the help of related optimization algorithms to obtain _PLAC1, _PLAC2, _{PHDC, 1} , _{PHDC, 2} , P _{LDC, 1} , P _{LDC, 2} as the adjustment values of the optimal active power of each port, and according to _{PLAC, 1} , _{PLAC, 2} , P _{HDC, 1} , P _{HDC, 2} , P _{LDC, 1} , P _{LDC , 2} finally generates two power electronic transformer control commands for each port.

As a multi-energy complementary optimization control function of a station-level energy management system, wind and / or photovoltaic power generation systems and system loads are considered based on wind and / or photovoltaic power generation systems, system loads, energy storage systems, CSP systems and energy storage systems. Coupling relationship between energy storage system, CSP system and energy storage system and AC / DC hybrid distributed system external public power grid. A multi-energy rolling optimization method considering CSP and energy storage is proposed. The grid-connected electricity price of the AC-DC hybrid distributed system is a fixed value, while the load electricity price in the AC-DC hybrid distributed system is a step price. At the same time, the AC-DC hybrid distributed system contains a CSP system, and the The thermal storage system can also realize the spatio-temporal transfer of energy similar to the stored energy. Based on the above, the multi-energy complementary optimization function of the AC / DC hybrid system is constructed, as shown in the following formula.

Among them, ΔT is the time interval, that is, the length of the past period (an example of the first period), and also the length of the prediction period (an example of the second period); t represents each time point of the average distribution in ΔT; P _dg (t) represents the average output active power of the distributed power source (wind and / or photovoltaic power generation system, _CSP system) in the past period; P _{dg_pre} (t) represents the average active power output of the distributed power source during the forecast period; μ (t ) Represents the prediction accuracy function corresponding to P _{dg_pre} (t), which can be simplified when the actual calculation is solved; let it be 1; γ represents the wind power price; P _L (t) represents the average active power of the load in the past period; P _{L_pre} (t ) Represents the average active power of the load predicted during the forecast period; θ (t) represents the prediction accuracy function corresponding to P _{L_pre} (t), which can be simplified when the actual calculation is solved to be 1; represents the real-time stepped electricity price of the load; P _b (t) represents the average active energy of the energy storage during the past period; P _{b_pre} (t) represents the average active energy of the energy storage plan during the forecast period; P _Q (t) represents the average active energy of the thermal system output during the past period; P _{Q_pre} (t) During the forecast period The average prediction of active geothermal systems.

According to Equation 9, if the economic benefit is maximized, the corresponding target should be max (F). At the same time, in the one-day cycle operation control, the energy storage system and the solar thermal system have charging and discharging power constraints, as shown in Equation 10.

Among them, Q (t) is the real-time heat stored by the thermal storage device; Q _min and Q _max respectively indicate the allowable minimum and maximum heat storage of the thermal storage device; P _{Q_allpre} indicates the equivalent of the predicted total heat output of the thermal collection device of the thermal system Power; P _{Q_pre} represents the electric power predicted by the _CSP . According to Equation 9 and Equation 10, an optimization algorithm (such as a genetic algorithm, a particle optimization algorithm, or a combination of optimization algorithms based on multiple algorithms) is used to iteratively optimize the solution to obtain P _{dg_pre} (t), P _{L_pre} (t), and P _{b_pre} (t), P _{Q_pre} (t) sequence, and then control based on timing. At the same time, after one calculation and optimization control, the next optimization calculation should also be carried out, so as to achieve a rolling economy optimized operation based on the step price.

The present disclosure addresses the operation control issues of AC / DC hybrid distributed systems, taking into account distributed renewable energy sources (photovoltaic, solar thermal, wind turbines, etc.) in the system, as well as AC / DC hybrid distributed systems configured with multifunctional power electronic transformers. Provides an operation control system suitable for AC-DC hybrid distributed system. The disclosure adopts a three-layer, two-level control system architecture, which not only provides an integrated operation control system for a single AC / DC hybrid distributed system, but also provides a unified cloud operation management mechanism for multiple AC / DC hybrid distributed systems, thereby providing a This type of system provides intelligent solutions.

The present disclosure may be a system, method, and / or computer program product. The computer program product may include a computer-readable storage medium having computer-readable program instructions for causing a processor to implement various aspects of the present disclosure.

The computer-readable storage medium may be a tangible device that can hold and store instructions used by the instruction execution device. The computer-readable storage medium may be, for example, but not limited to, an electric storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. More specific examples (non-exhaustive list) of computer-readable storage media include: portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM) Or flash memory), static random access memory (SRAM), portable compact disc read only memory (CD-ROM), digital versatile disc (DVD), memory stick, floppy disk, mechanical encoding device, such as a printer with instructions stored thereon A protruding structure in the hole card or groove, and any suitable combination of the above. Computer-readable storage media used herein are not to be interpreted as transient signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through waveguides or other transmission media (for example, light pulses through fiber optic cables), or via electrical wires Electrical signal transmitted.

The computer-readable program instructions described herein can be downloaded from a computer-readable storage medium to various computing / processing devices, or downloaded to an external computer or external storage device via a network, such as the Internet, a local area network, a wide area network, and / or a wireless network. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers, and / or edge servers. The network adapter card or network interface in each computing / processing device receives computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in each computing / processing device .

Computer program instructions for performing the operations of the present disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-related instructions, microcode, firmware instructions, state setting data, or in one or more programming languages. Source code or object code written in any combination. The programming languages include object-oriented programming languages—such as Smalltalk, C ++, and the like—and conventional procedural programming languages—such as "C" or similar programming languages. Computer-readable program instructions may be executed entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer, partly on a remote computer, or entirely on a remote computer or server carried out. In the case of a remote computer, the remote computer can be connected to the user's computer through any kind of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computer (such as through the Internet using an Internet service provider) connection). In some embodiments, electronic circuits such as programmable logic circuits, field-programmable gate arrays (FPGAs), or programmable logic arrays (PLAs) are personalized by using state information of computer-readable program instructions. The electronic circuits may Computer-readable program instructions are executed to implement various aspects of the present disclosure.

Various aspects of the present disclosure are described herein with reference to flowcharts and / or block diagrams of methods, devices (systems) and computer program products according to embodiments of the present disclosure. It should be understood that each block of the flowcharts and / or block diagrams, and combinations of blocks in the flowcharts and / or block diagrams, can be implemented by computer-readable program instructions.

These computer-readable program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, or other programmable data processing device, thereby producing a machine such that, when executed by a processor of a computer or other programmable data processing device , Means for implementing the functions / actions specified in one or more blocks in the flowcharts and / or block diagrams. These computer-readable program instructions may also be stored in a computer-readable storage medium, and these instructions cause a computer, a programmable data processing apparatus, and / or other devices to work in a specific manner. Thus, a computer-readable medium storing instructions includes: An article of manufacture that includes instructions to implement various aspects of the functions / acts specified in one or more blocks in the flowcharts and / or block diagrams.

Computer-readable program instructions can also be loaded onto a computer, other programmable data processing device, or other device, so that a series of operating steps can be performed on the computer, other programmable data processing device, or other device to produce a computer-implemented process , So that the instructions executed on the computer, other programmable data processing apparatus, or other equipment can implement the functions / actions specified in one or more blocks in the flowchart and / or block diagram.

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagram may represent a module, a program segment, or a part of an instruction that contains one or more components for implementing a specified logical function. Executable instructions. In some alternative implementations, the functions marked in the blocks may also occur in a different order than those marked in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented in a dedicated hardware-based system that performs the specified function or action. , Or it can be implemented with a combination of dedicated hardware and computer instructions.

The embodiments of the present disclosure have been described above, the above description is exemplary, not exhaustive, and is not limited to the disclosed embodiments. Many modifications and variations will be apparent to those skilled in the art without departing from the scope and spirit of the various embodiments described. The terminology used herein is chosen to best explain the principles of the embodiments, practical applications or technical improvements in the market, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.

Claims

An operation control system for an AC / DC hybrid distributed system is characterized in that it includes:

An operation management layer, which is connected to a plurality of energy management layers through a cloud network, and is configured to obtain operation data of the plurality of energy management layers, and send dispatch instructions corresponding to each of the operation data to each The energy management layer, the operation data includes a control instruction;

The multiple energy management layers, each of the multiple energy management layers is interconnected with an AC / DC hybrid distributed system and a coordination control layer, and the energy management layer is configured to collect the AC / DC hybrid A power parameter of the distributed system, and sending a control instruction corresponding to the power parameter to the coordination control layer according to the scheduling instruction;

The coordination control layer is configured to send the received control instruction to the AC / DC hybrid distributed system, so that the AC / DC hybrid distributed system executes the control instruction.
The operation control system of an AC / DC hybrid distributed system according to claim 1, wherein the coordination control layer comprises a multi-energy coordination controller;

The multi-energy coordination controller is respectively connected to the energy management layer and the AC / DC hybrid distributed system. The multi-energy coordination controller is configured to obtain a control instruction sent by the energy management layer and send the control instruction. To the AC / DC hybrid distributed system, so that the AC / DC hybrid distributed system executes the control instruction.
The operation control system of an AC / DC hybrid distributed system according to claim 2, wherein the AC / DC hybrid distributed system includes a power electronic transformer, an AC region, and a DC region;

The AC region and the DC region are connected to a first port and a second port of the power electronic transformer, respectively, and the power electronic transformer is connected to an external AC power grid through a third port.
The operation control system of an AC / DC hybrid distributed system according to claim 3, wherein the power parameters obtained by the energy management layer from the AC / DC hybrid distributed system include: Active power, the active power of the AC power generation system and the AC load in the AC area, and the active power of the DC power generation system and the DC load in the DC area;

Control instructions corresponding to the active power of the power electronic transformer, the active power of the AC power generation system and the AC load in the AC area, and the active power of the DC power generation system and the DC load in the DC area include, for controlling A first instruction, a second instruction, and a third instruction of the active power of the first port, the second port, and the third port of the power electronic transformer;

Sending, by the energy management layer, the first instruction, the second instruction, and the third instruction to the multi-energy coordination controller;

The multi-energy coordination controller sends the first instruction, the second instruction, and the third instruction to the first port, the second port, and the third port, respectively.
The operation control system of an AC / DC hybrid distributed system according to claim 4, wherein the energy management layer respectively obtains all the data by an iterative optimization algorithm according to the first objective function formed by Formula 1 and Formula 2. When the first objective function takes the minimum value, the active power that the first port, the second port, and the third port need to output,

And respectively generating a first instruction, a second instruction, and a third instruction that carry active power that the first port, the second port, and the third port need to output,

Among them, P HAC is the active power of the third port; PLAC is the active power of the first port; P HDC is the active power of the second port; the active power of each port is defined as the output from this port is positive and the input from this port is negative; α (P LAC ), Β (P HDC ) are the functions of the first port and the second port with respect to loss, α 1 and α 2 are the coefficients of the first and second terms in the function of α (P LAC ); β 1 and β 2 are respectively Is the coefficient of the primary and secondary terms of β (P HDC ); the energy management layer is based on the active power of the power electronic transformer, the active power of the AC power generation system and the AC load in the AC area, and the The change relationship between the active power of the DC power generation system and the DC load is fitted to obtain α 1 , α 2 , β 1 , β 2 .
The operation control system of an AC / DC hybrid distributed system according to claim 2, wherein the AC / DC hybrid distributed system comprises a wind energy and / or photovoltaic power generation system, a system load, an energy storage system, and a light Thermal power generation system and heat storage system;

The power parameters obtained by the energy management layer from the AC / DC hybrid distributed system include the wind and / or photovoltaic power generation system, the energy storage system, the system load, the CSP system, and the The average active power of the thermal storage system during the first time period;

The control instructions corresponding to the average active power of the wind energy and / or photovoltaic power generation system, the energy storage system, the system load, the CSP system and the thermal storage system in the second time period include: Sixth and seventh instructions for controlling the active power of the wind and / or photovoltaic power generation system, the energy storage system, the system load, the CSP system and the thermal storage system in a second time period Instruction, eighth instruction, ninth instruction, and tenth instruction, the second time period is later than the first time period;

The energy management layer sends the sixth instruction, the seventh instruction, the eighth instruction, the ninth instruction, and the tenth instruction to the multi-energy coordination controller;

The multi-energy coordination controller sends the sixth instruction, the seventh instruction, the eighth instruction, the ninth instruction, and the tenth instruction to the wind energy and / or photovoltaic power generation system, respectively, The energy storage system, the system load, the CSP system, and the heat storage system.
The operation control system of an AC / DC hybrid distributed system according to claim 6, characterized in that the durations of the first time period and the second time period are the same length, and the energy management layer is formed according to formulas 3 and 4 The second objective function of the wind energy and / or photovoltaic power generation system, the energy storage system, the system load, and the CSP system when the second objective function takes a maximum value through an iterative optimization algorithm, respectively. And the active power of the heat storage system in the second time period,

And generating the sixth carrying the active power of the wind and / or photovoltaic power generation system, the energy storage system, the system load, the CSP system, and the thermal storage system in a second time period, respectively. Instruction, the seventh instruction, the eighth instruction, the ninth instruction, and the tenth instruction,

Among them, ΔT is the duration of the first time period and the second time period; t represents each time point of the average distribution in ΔT, and P dg (t) represents the active power output by the wind energy and / or photovoltaic power generation system in the first time period The average value of power; P dg_pre (t) represents the average value of the active power that the wind and / or photovoltaic power generation system needs to output in the second time period; μ (t) represents the prediction accuracy function corresponding to P dg_pre (t); γ represents wind power and / or photovoltaic electricity price; P L (t) represents the average value of the active power output by the system load during the first time period; P L_pre (t) the active power of the system load that needs to be output during the second time period Average value; θ (t) represents the prediction accuracy function corresponding to PL_pre (t);
Represents the electricity price of the system load; P b (t) is the average value of the active power output by the energy storage system during the first time period; P b_pve (t) is the average value of the active power output by the energy storage system during the second time period Value; P Q (t) represents the average value of active power output by the CSP system during the first time period; P Q_pre (t) represents the average value of active power output by the CSP system during the second time period ; Q (t) is the real-time heat stored by the heat storage system; Q C (t) is the heat lost by the heat storage system; Q min and Q max represent the allowable minimum and maximum heat storage of the heat storage device respectively; P Q_allpre (t) It represents the average value of the equivalent active power of the total heat output that the heat storage system needs to output during the second time period.
The operation control system of an AC / DC hybrid distributed system according to claim 1 or 2, wherein the coordination control layer further comprises a protection device, and the protection device is connected to the AC / DC hybrid distributed system. The protection device is used for fault removal for faults of AC / DC hybrid distributed system;

The protection device includes an AC protection device and a DC protection device, the AC protection device is connected to an AC area of the AC-DC hybrid distributed system, and is configured to perform fault removal for a fault in the AC area. It is connected to the DC area of the AC / DC hybrid distributed system, and is used to perform fault removal for faults in the DC area.
The operation control system of an AC / DC hybrid distributed system according to claim 1, wherein the energy management layer comprises:

A pre-collection server, which is connected to the AC / DC hybrid distributed system and is configured to collect power parameters of the AC / DC hybrid distributed system;

A data server, which is connected to the front-end acquisition server and is configured to obtain the power parameter collected by the front-end acquisition server;

An application server, which is respectively connected to the data server and the coordination control layer, and is configured to send a control instruction corresponding to the power parameter to the coordination control layer.
The operation control system of an AC / DC hybrid distributed system according to claim 1, wherein the energy management layer, the AC / DC hybrid distributed system, and the coordinated control layer are connected in a one-to-one correspondence with each other.