CN113224843A - Active support type wind-solar-storage integrated power control system and energy distribution method thereof - Google Patents

Active support type wind-solar-storage integrated power control system and energy distribution method thereof Download PDF

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CN113224843A
CN113224843A CN202110534171.2A CN202110534171A CN113224843A CN 113224843 A CN113224843 A CN 113224843A CN 202110534171 A CN202110534171 A CN 202110534171A CN 113224843 A CN113224843 A CN 113224843A
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power
active
energy
wind
fan
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邱收
见伟
李吉勇
孙昭宇
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Beijing Zhongtai Huadian Technology Co ltd
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00001—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06312—Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Electricity, gas or water supply
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00006—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
    • H02J13/00028—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment involving the use of Internet protocols
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/24—Arrangements for preventing or reducing oscillations of power in networks
    • H02J3/241—The oscillation concerning frequency
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
    • H02J3/466—Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/12—Monitoring or controlling equipment for energy generation units, e.g. distributed energy generation [DER] or load-side generation
    • Y04S10/123—Monitoring or controlling equipment for energy generation units, e.g. distributed energy generation [DER] or load-side generation the energy generation units being or involving renewable energy sources

Abstract

The invention discloses an active support type wind-solar-energy storage integrated power control system and an energy distribution method thereof, wherein the system comprises: the NSEARTSuite middleware adopts a uniform access interface to read and write data; and an application software layer; the application software layer comprises: a collection device; the main control equipment is used for acquiring a local control instruction and a remote scheduling instruction, calculating plant-level target active power and reactive power after algorithm model control operation, and sending the set active power and reactive power to the execution equipment; monitoring equipment; the energy management system is communicated with the station controlled equipment through the Nsealink converged communication system; and the energy management system automatically decomposes the active/reactive target values issued by the main control equipment to different energy systems in real time. The invention solves the problems of complex control architecture, low efficiency and the like of the traditional new energy station, and realizes the operation of the wind-light-storage-electric-field integrated power integrated control system by adopting a unified data communication platform and a unified real-time database platform.

Description

Active support type wind-solar-storage integrated power control system and energy distribution method thereof
Technical Field
The invention relates to the technical field of new energy power generation, in particular to an active support type wind-solar-storage integrated power control system and an energy distribution method thereof.
Background
With the development of renewable energy sources such as wind power and photovoltaic, the permeability of renewable energy source power generation is rapidly increased, and the influence of the permeability on the operation of a power grid is gradually increased. New energy represented by wind power and photovoltaic is gradually becoming an important energy resource in China, and plays an important role in meeting energy requirements, improving energy structures, reducing environmental pollution, protecting ecological environment and the like.
The existing new energy station network communication is complex, the traditional IEC-104 communication protocol is adopted in a dispatching system, the IEC-103 or 61850MMS communication protocol is adopted in communication with other equipment in the booster station, and the MODBUS TCP/RTU or OPU UA communication protocol is adopted in communication with a fan/inverter. Therefore, the wind, light and power storage field integrated active supporting system relates to various communication protocols.
The system comprises an AGC/AVC (automatic gain control/automatic voltage control), a primary frequency modulation, an inertia support and an energy management platform, wherein the functions are independently completed by various devices, and the devices become data islands. The coordination among the devices can only be carried out in a communication mode, so that the frequency modulation and voltage regulation speeds are influenced, and the reliability of the system is reduced.
Disclosure of Invention
The invention provides an active support type wind-solar-storage integrated power control system and an energy distribution method thereof, aims to solve the problems that the coordination between the existing new energy station equipment can only be carried out in a communication mode, the frequency modulation and voltage regulation speed is influenced, and the reliability of the system is reduced, and realizes the operation of the wind-solar-storage integrated power integrated control system by adopting a unified data communication platform and a unified real-time database platform based on the data sharing concept.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows.
Active supporting type scene stores up integration power control system includes:
the NSEA RTsuite middleware reads and writes data by adopting a uniform access interface; the NSEA RTsuite middleware comprises an Nsealink converged communication system; and
the application software layer realizes the operation of the wind-solar-energy-storage integrated active supporting system by utilizing NSEA RTsuite middleware;
the application software layer comprises:
the acquisition device is used for acquiring the operation parameters of the grid-connected points of the wind and light storage station;
the main control equipment receives the operation parameters of the grid-connected point transmitted by the acquisition device, acquires a local control instruction and a remote scheduling instruction, calculates plant-level target active power and reactive power after algorithm model control operation, and transmits the set active power and reactive power to the execution equipment;
the monitoring equipment is used for deploying a database, storing all the collected point data and the calculated data by using the database, displaying the state information of the equipment, configuring strategies and parameters, inquiring historical data and analyzing the performance of frequency modulation and pressure regulation; and
the energy management system is communicated with the station controlled equipment through the Nsealink fusion communication system and acquires active and reactive power output and running states of the station controlled equipment; and the energy management system automatically decomposes the active/reactive target values issued by the main control equipment to different energy systems in real time.
And further optimizing the technical scheme, wherein the operation parameters of the grid-connected point comprise grid-connected point voltage, current, frequency, active power, reactive power and power factor.
The technical scheme is further optimized, and the algorithm model comprises an AGC module, an AVC module, a primary frequency modulation algorithm model and a virtual inertia algorithm model.
According to the technical scheme, the main control device calculates plant-level target active power and reactive power according to a frequency modulation and voltage regulation active support algorithm.
Further optimizing the technical scheme, the active support algorithm comprises:
the virtual inertia response algorithm is used for calculating the virtual inertia response active power variation of the photovoltaic power station;
the primary frequency modulation control algorithm is used for calculating the characteristics of active output and frequency of the new energy power plant;
a secondary frequency modulation method;
a coordination method of primary frequency modulation and secondary frequency modulation; and
an automatic voltage control method.
Further optimizing the technical scheme, the formula of the photovoltaic power station virtual inertia response active power variation is as follows:
Figure BDA0003069139810000031
wherein, TJThe virtual inertia response time constant of the new energy generator set is obtained; f is the grid-connected point frequency of the new energy generator set; f. ofNRated frequency of a grid-connected point of the new energy generator set; delta P is the active power variation of the new energy generator set; p is the rated power of the new energy generator set;
the relation between the active output and the frequency of the new energy power plant is as follows:
Figure BDA0003069139810000032
in the formula,. DELTA.f: the difference between the current frequency and the nominal frequency; p: when the current frequency is delta f, outputting a target value of active power; p0: outputting an initial value of active power; pN: rated power of the power station; f. ofN: a system rated frequency; f. ofd: a primary frequency modulation response dead zone; delta%: and (4) adjusting the difference rate.
According to the technical scheme, the energy management system automatically decomposes the active/reactive target values issued by the main control equipment to different energy systems in real time according to a power dynamic distribution method; the power dynamic distribution method comprises an active power distribution algorithm and a reactive power distribution algorithm.
Further optimizing the technical scheme, the active power distribution algorithm comprises:
the real-time active power proportion distribution algorithm comprises the following steps: distributing a target adjusting power value of each fan/inverter according to the proportion relation of the single machine actual power of each fan/inverter to the total power; the calculation formula is as follows:
Figure BDA0003069139810000033
available theoretical power proportional allocation algorithm: distributing a target adjusting power value of each fan/inverter according to the proportional relation of the theoretical power available for each fan/inverter single machine; the calculation formula is as follows:
Figure BDA0003069139810000034
in the formula, N: the number of the fans/inverters can participate in rapid frequency adjustment; pdst[i]: each fan/inverter/energy storage unit target adjusting power value; pcanadj-r＝∑Prt-r[i]Namely, the sum of the theoretical power available for the fast frequency fan/inverter can be participated; pcanadj＝∑Prt[i]And the real-time total power of the fast frequency fan/inverter can be participated.
Further optimizing the technical scheme, the reactive power distribution algorithm comprises the following steps:
the equal power factor distribution algorithm: calculating a target power factor of the fan cluster according to the reactive instruction value of the AVC system and the station power instruction value; corresponding to each fan/inverter/SVG, calculating a fan reactive power target value according to a target power factor and the active power of the fan;
equal offset method: when the reactive power increasing or decreasing value ratios of all the units are the same, calculating the ratio of the total reactive power target value to the upper limit and the lower limit of the total reactive power of the whole plant according to the total reactive power instruction, and calculating the upper limit and the lower limit of the total reactive power of the whole plant according to the upper limit and the lower limit of the reactive power of each unit;
an isochoric method: and calculating the reactive power adjustment quantity of each power generation/energy storage unit by comprehensively considering the total active power, the reactive power and the output range of the adjustable unit.
The energy distribution method of the active support type wind-solar-storage integrated power control system is characterized in that the method is carried out based on the active support type wind-solar-storage integrated power control system, and comprises the following steps:
s1, energy distribution strategy under AGC control mode: wind power and photovoltaic power generation are set to be preferentially utilized in the wind-solar-storage micro-grid, so that the demand of a dispatching instruction is met; the stored energy is charged when the wind power and photovoltaic output is greater than the dispatching instruction value, and is discharged when the wind power and photovoltaic output cannot meet the dispatching instruction value;
the energy storage charge state is protected and controlled by revising a power generation plan issued by a dispatching center;
s2, energy distribution strategy in primary frequency modulation and virtual inertia modes: in the initial stage of primary frequency modulation and virtual inertia response starting, the energy storage system bears the main active power adjustment quantity by utilizing the characteristic of high energy storage charge-discharge rate; along with the response of the power of the fan and the photovoltaic, the charge and discharge of the energy storage system are dynamically adjusted, the state is gradually transited to the state that the fan and the photovoltaic bear the main active power adjustment amount, and the energy storage unit mainly supplements output fluctuation caused by unstable wind and light power and overshoot of the fan and an inverter.
Due to the adoption of the technical scheme, the technical progress of the invention is as follows.
The invention solves the problems of complex control architecture, low efficiency and the like of the traditional new energy station, and adopts a unified data communication platform and a unified real-time database platform to realize the operation of the wind, light and electric field integrated power integrated control system; an energy storage control link is added on the basis of traditional regulation, the response speed of an energy storage system is high, the change of active power can be supported quickly, the output of the active power of the fan can be smoothed, and therefore virtual inertia response, primary frequency modulation and secondary frequency modulation of a station are achieved.
According to the invention, an energy storage charging and discharging technology is utilized, the AGC active power smooth regulation and power grid inertia support are realized, and the problems of too low response speed of a fan or photovoltaic at the primary frequency modulation initial stage and the like are solved.
The invention meets the requirement of active support of the power grid, realizes the maximization of the generated energy on the premise of improving the reliability of the system and ensuring safety, and improves the economic benefit of a new energy electric field.
The method comprises the steps that real-time data of controlled equipment of a wind turbine, an energy management platform, a photovoltaic inverter, an energy storage system, a static var generator (SVC) and other stations are obtained through an Nsealink fusion communication system, and real-time information of voltage, current, power, frequency and the like of a grid-connected point of a wind and light storage station is obtained through a frequency measurement device; obtaining a local control instruction through reading interface input or a plan curve, and obtaining a remote dispatching instruction through a telemechanical; and after AGC, AVC, primary frequency modulation and virtual inertia algorithm model control operation, outputting the active target value and the reactive target value to an energy management platform. The energy management platform distributes active/reactive power among wind, light and storage systems in consideration of safety and economy, and displays the running state and the control instruction execution condition of the wind, light and storage new energy station on a human-computer interface in real time.
Drawings
FIG. 1 is a functional block diagram of the present invention;
FIG. 2 is a diagram of the application layer software design architecture of the present invention;
FIG. 3 is a system networking diagram of the present invention;
FIG. 4 is a diagram of the topology of the system of the present invention;
FIG. 5 is a schematic diagram of the present invention during data acquisition;
FIG. 6 is a graph of a characteristic curve corresponding to a primary frequency modulation (fast frequency response) control algorithm of the present invention;
FIG. 7 is a schematic diagram of the present invention in setting the voltage droop curve.
Detailed Description
The invention will be described in further detail below with reference to the figures and specific examples.
An active support type wind-solar-energy-storage integrated power control system is combined with the power control system shown in the figures 1 to 4, based on the NSEA RTsuite technology architecture, integrates a converged communication technology, a real-time database technology, a scientific computing technology, artificial intelligence, big data and a configuration display technology, and comprises NSEA RTsuite middleware and an application software layer.
The NSEA RTsuite middleware adopts hierarchical functional design, and adopts functional module design for communication protocols, communication middleware, data and calculation engines. The system takes a database as a core, adopts a uniform access interface for data reading and writing, adopts a service-oriented and componentized system architecture, and can flexibly cut services. The NSEA RTsuite middleware comprises an Nsealink converged communication system. The Nsealink converged communication system interacts with a communication gateway machine through an IEC-104 communication protocol, interacts with an SVG/SVC through an IEC-103 communication protocol, interacts with an energy storage unit through an MMS communication protocol, interacts with a photovoltaic power station through a Modbus communication protocol, and interacts with a fan through an OPC UA communication protocol.
And the application software layer realizes the operation of the wind-light-storage integrated active support system by utilizing rich and flexible communication interfaces of NSEA RTsuite middleware, a high-efficiency real-time database system and rich basic service functions (a calculation engine, scientific calculation, configuration and visualization, data analysis and early warning).
The application software layer comprises: the system comprises an acquisition device, a master control device, a monitoring device, an energy management system and a communication device.
And the acquisition device acquires the operation parameters of the grid-connected points of the wind and light storage station and transmits the operation parameters to the main control equipment to judge the operation parameters of the related power grid. The grid-connected point operation parameters include grid-connected point voltage, current, frequency, active power, reactive power, and power factor. The frequency, voltage, active and reactive power collection access in the station is shown in figure 5.
And the main control equipment receives the operation parameters of the grid-connected point transmitted by the acquisition device, acquires a local control instruction and a remote scheduling instruction, calculates plant-level target active power and reactive power according to a frequency modulation and voltage regulation active support algorithm after algorithm model control operation, and transmits the set active power and reactive power to the execution equipment through a communication protocol. The execution equipment comprises an energy management platform, static reactive compensation equipment and the like.
And the main control equipment can dynamically adjust the set power of each energy management platform, so that the power can be quickly and accurately adjusted, and the power generation capacity of a wind field is guaranteed.
The algorithm model comprises an AGC module, an AVC module, a primary frequency modulation algorithm model and a virtual inertia algorithm model.
The monitoring equipment is deployed with the seaDB and the real-time database, all the collected point data and the calculated data are stored by using the database, the state information of the equipment can be displayed, the configuration of strategies and parameters can be carried out, and historical data can be inquired and the performance of frequency modulation and pressure regulation can be analyzed.
The invention also comprises a human-computer interface, wherein the human-computer interface is realized by adopting configuration visualization software in NSEA RTSuits middle, and can realize the real-time running state conditions of main active support subsystems such as AGC, AVC, virtual inertia, primary frequency modulation and energy management in a distributed manner; the operation parameters of the related subsystems can be adjusted through a human-computer interface; the interface may also be adjusted and modified as desired by the user.
The monitoring equipment can display information such as the running state, faults and the like of the equipment through the SCADA human-computer interface, can configure strategies and parameters, can inquire historical data and analyze the performance of frequency modulation and pressure regulation.
The energy management system is communicated with the station controlled equipment through the Nsealink fusion communication system and acquires active and reactive power output of each station controlled equipment (including each wind driven generator, each photovoltaic inverter and each energy storage converter) and the running state of each system equipment; and the energy management system automatically decomposes the active/reactive target values issued by the main control equipment to different energy systems in real time.
The controlled equipment of the station comprises related equipment such as a wind power plant, a photovoltaic station, an energy storage system and the like.
And the communication equipment is used for network connection among the equipment in the system.
The active support algorithm comprises:
the virtual inertia response algorithm is used for calculating the virtual inertia response active power variation of the photovoltaic power station;
the primary frequency modulation control algorithm is used for calculating the characteristics of active output and frequency of the new energy power plant;
a secondary frequency modulation method;
a coordination method of primary frequency modulation and secondary frequency modulation;
an automatic voltage control method.
The formula of the virtual inertia response algorithm and the photovoltaic power station virtual inertia response active power variation is as follows:
Figure BDA0003069139810000071
wherein, TJIs a virtual inertia response time constant, T, of the new energy generator setJThe recommended value is 4-8S; f is the grid-connected point frequency of the new energy generator set; f. ofNRated frequency (50Hz) of a grid-connected point of the new energy generator set; delta P is the active power variation of the new energy generator set; and P is the rated power (unit: kW) of the new energy generator set.
In a primary frequency modulation (fast frequency response) control algorithm, a Virtual Synchronous Generator (VSG) mostly adopts a droop control method reflecting active-frequency characteristics to carry out primary frequency adjustment, and the output change delta P of a station is inversely proportional to the frequency change delta f of a power grid. The active output and frequency of the new energy power plant must satisfy the following characteristics:
Figure BDA0003069139810000081
in the formula,. DELTA.f: the difference between the current frequency and the nominal frequency; p: when the current frequency is delta f, outputting a target value of active power; p0: outputting an initial value of active power; pN: rated power of the power station; f. ofN: a system rated frequency; f. ofd: a primary frequency modulation response dead zone; delta%: and (4) adjusting the difference rate.
The characteristic curve corresponding to the primary frequency modulation (fast frequency response) control algorithm is shown in fig. 6.
Secondary frequency modulation (automatic generation control, AGC), active power target value, the system supports the following active power target values:
1) and an active load curve is given by the remote dispatching master station.
2) The remote dispatching master station gives a power value.
3) An active load curve is recorded in advance by the local.
4) The operator gives a power value in the control room.
5) And recovering free power generation by operators.
And (3) coordinating primary frequency modulation (quick frequency response) and secondary frequency modulation (AGC), wherein a quick frequency response system is coordinated with AGC control, and a control target value of active power of a wind power plant is an algebraic sum of an AGC command value and a corresponding fast frequency regulating quantity.
Wherein: when the frequency of the power grid exceeds 50 +/-0.1 Hz, the quick frequency response function of the wind power plant should lock the AGC reverse regulation instruction.
Automatic Voltage Control (AVC): the wind power plant reactive voltage control system has constant power factor, constant reactive power, constant voltage closed-loop control and reactive voltage droop control modes.
In the constant power factor mode, the energy management platform sets a communication point position, receives a power factor instruction issued by the AVC main station, or locally and manually issues the power factor instruction. And calculating required reactive power according to the current active power and the power factor, and issuing and distributing to the fan.
And under the constant reactive power mode, receiving a reactive power instruction issued by the AVC main station, or issuing reactive power locally and manually, and distributing the reactive power to the fan.
And under the voltage droop mode, the reactive power is adjusted through the outlet line voltage of the frequency measurement unit. A voltage sag curve is set, as shown in FIG. 7, the voltage dead zone is + -0.02 pu, the sag factor K is preferably 5, and Qmax is the sum of the reactive upper limits of all fans. In fig. 7, UN: a rated voltage; u0: an AVC voltage command value; PN: the station is rated for installed capacity.
The energy management system automatically decomposes the active/reactive target value issued by the main control equipment to different energy systems in real time according to a power dynamic distribution method; the power dynamic distribution method comprises an active power distribution algorithm and a reactive power distribution algorithm.
The dynamic fan/inverter power distribution algorithm comprises an active power distribution algorithm and a reactive power distribution algorithm.
Preferably, the number of the adjustable fans/inverters is obtained, and the method specifically comprises the following steps:
1) the benchmark fan/inverter is arranged through a human-computer interface;
2) all fans/inverters with failures in communication;
3) all the fans/inverters with own state faults (acquiring equipment state words and fault words through communication);
4) and subtracting the fans/inverters of the three conditions from the total number of the fans/inverters of the new energy power plant to obtain the number (N) of the fans/inverters which can be adjusted by the new energy power plant.
5) And respectively recording all numbers which can be regulated and can not participate in regulating the fan/inverter/energy storage.
The active power distribution algorithm comprises the following steps:
the real-time active power proportion distribution algorithm comprises the following steps: distributing a target adjusting power value of each fan/inverter according to the proportion relation of the single machine actual power of each fan/inverter to the total power; the calculation formula is as follows:
Figure BDA0003069139810000091
available theoretical power proportional allocation algorithm: distributing a target adjusting power value of each fan/inverter according to the proportional relation of the theoretical power available for each fan/inverter single machine; the calculation formula is as follows:
Figure BDA0003069139810000101
in the formula, N: the number of the fans/inverters can participate in rapid frequency adjustment; pdst[i]: each fan/inverter/energy storage unit target adjusting power value; pcanadj-r＝∑Prt-r[i]Namely, the sum of the theoretical power available for the fast frequency fan/inverter can be participated; pcanadj＝∑Prt[i]And the real-time total power of the fast frequency fan/inverter can be participated.
The reactive power distribution algorithm comprises the following steps:
the equal power factor distribution algorithm: calculating a target power factor of the fan cluster according to the reactive instruction value of the AVC system and the station power instruction value; corresponding to each fan/inverter/SVG, calculating a fan reactive power target value according to a target power factor and the active power of the fan;
equal offset method: when the reactive power increasing or decreasing value ratios of the units are the same, the ratio of the total reactive power target value to the upper limit and the lower limit of the total reactive power of the whole plant is calculated according to the total reactive power instruction, and the upper limit and the lower limit of the total reactive power of the whole plant are obtained according to the upper limit and the lower limit of the reactive power of each unit. And calculating a total reactive power target difference value by using the total reactive power target of the issued whole plant and the total reactive power of the current whole plant, wherein the reactive power target value of each unit is the ratio multiplied by the reactive power target difference value on the basis of the current reactive power, and secondary distribution is carried out if the unit has the out-of-limit requirement until the reactive power distribution is completed. And if the distributed reactive power target value of the designated unit is compared with the current reactive power to enter the dead zone, the designated unit is not required to be regulated and controlled.
An isochoric method: and calculating the reactive power adjustment quantity of each power generation/energy storage unit by comprehensively considering the total active power, the reactive power and the output range of the adjustable unit.
The method comprises the steps that real-time data of controlled equipment of a wind turbine, an energy management platform, a photovoltaic inverter, an energy storage system, a static var generator (SVC) and other stations are obtained through an Nsealink fusion communication system, and real-time information of voltage, current, power, frequency and the like of a grid-connected point of a wind and light storage station is obtained through a frequency measurement device; obtaining a local control instruction through reading interface input or a plan curve, and obtaining a remote dispatching instruction through a telemechanical; and after AGC, AVC, primary frequency modulation and virtual inertia algorithm model control operation, outputting the active target value and the reactive target value to an energy management platform. The energy management platform distributes active/reactive power among wind, light and storage systems in consideration of safety and economy, and displays the running state and the control instruction execution condition of the wind, light and storage new energy station on a human-computer interface in real time.
The topological structure of the system is shown in figure 4, and the system directly collects voltage and current signals of a grid-connected point and calculates the equivalent values of frequency, active power, reactive power, voltage and power factor. The AGC/AVC instruction values are obtained from the schedule by a remote source. The method comprises the steps of obtaining operation data of a photovoltaic inverter, a wind driven generator, an energy storage system and the like through a comprehensive energy management platform, and obtaining relevant information of a booster station from a comprehensive automatic system.
And calculating a virtual inertia response value by calculating the frequency change rate of the grid-connected point, and realizing the virtual inertia response of the photovoltaic station by the quick adjustment capability of the energy storage equipment.
According to the invention, the active support algorithm of frequency modulation and voltage regulation is carried out through the data, and the active power and reactive power regulation target values required to be regulated by the wind field are calculated.
The invention distributes the set power of each inverter and sends the set power to the wind-solar-energy-storage combined intelligent energy management system. The power is adjusted rapidly and accurately, and virtual inertia response, primary frequency modulation and secondary frequency modulation (AGC) are realized.
The energy distribution and control of the wind-solar-storage combined power generation system need to solve two basic problems: firstly, because wind-solar power output's uncertainty can have certain deviation between wind-powered electricity generation, photovoltaic power generation and the power generation plan all the time, so energy storage control system need according to battery energy storage energy degree of depth, through the power correction effect of battery energy storage for wind-solar energy storage combined power station's power output is close as far as plan to exert oneself and is adjusted and exert oneself. Secondly, due to the strong randomness of the solar energy and the wind energy, the regular charging and discharging of the energy storage battery in the power generation system is difficult to ensure, so that proper charging and discharging control and protection strategies of the energy storage battery are needed to be adopted, and the purpose of protecting the energy storage battery and the system from long-term stable operation is achieved.
The energy distribution method of the active support type wind-solar-storage integrated power control system comprises the following steps:
s1, energy distribution strategy under AGC control mode;
generally speaking, in order to pursue the maximum utilization of renewable energy, wind power and photovoltaic power generation are set to be preferentially utilized in the wind-solar-storage microgrid, and the demand of a scheduling instruction is met. And the energy storage plays the roles of balancing output fluctuation and guaranteeing power supply balance. The charge and discharge strategy can be defined as: and the stored energy is charged when the wind power and photovoltaic output is greater than the dispatching instruction value, and is discharged when the wind power and photovoltaic output cannot meet the dispatching instruction value.
However, because the current wind power prediction accuracy is low and the photovoltaic power prediction system is not mature, the output plan of the wind-solar-energy-storage combined power station formulated by the dispatching center according to the wind and light power prediction values often exceeds the regulation capability of the battery energy storage system, so that the battery energy storage system frequently enters an overcharge or overdischarge protection working mode, the battery energy storage system directly loses the smooth wind-solar output fluctuation effect, and meanwhile, the safety of the battery energy storage device is extremely unfavorable. Therefore, during the control period of the energy storage system, it is necessary to protect and control the state of charge of the energy storage system.
The energy storage charge state protection and control are realized by revising a power generation plan issued by a dispatching center. Revised Power Generation plan P'refIn each energy storage system control period, the battery charge corresponding to the optimal SOC working area of the battery energy storage system is carried out
Figure BDA0003069139810000121
And the current charge W of the battery energy storage systemBAfter comparison, the power setting value is superposed to the power setting value issued by the dispatching center after the action of the proportional controller. In the current control period, when the battery energy storage system is charged with the electricity quantity WBThe battery charge higher than the optimal SOC working area
Figure BDA0003069139810000122
Time, revised Power Generation plan P'refIncreasing the target value of the system power by up-regulation, and promoting the energy storage system to discharge to make up the power shortage of wind-solar power generation so as to ensure that the battery energy storage system returns to the optimal SOC working area; on the contrary, when the battery energy storage system is charged with electricity WBBattery charge below optimal SOC operating region
Figure BDA0003069139810000123
Time, revised Power Generation plan P'refWill be adjusted downwards, the systemThe power target value is reduced, and the energy storage system is promoted to absorb surplus energy of the wind-solar power generation system, so that the battery energy storage system is ensured to return to the optimal SOC working area.
S2, energy distribution strategy in primary frequency modulation and virtual inertia modes;
and triggering primary frequency modulation and virtual inertia response of the station due to the fluctuation of the power grid frequency. Because the primary frequency modulation and virtual inertia response time requirement is relatively fast, the regulation power of the fan and the photovoltaic inverter cannot meet the regulation speed requirement, and therefore, in the initial stage of primary frequency modulation and virtual inertia response starting, the energy storage system bears the main active power regulation quantity by utilizing the characteristic of fast energy storage charge-discharge speed. Along with the response of the power of the fan and the photovoltaic, the charge and discharge of the energy storage system are dynamically adjusted, the state is gradually transited to the state that the fan and the photovoltaic bear the main active power adjustment amount, and the energy storage unit mainly supplements the output fluctuation caused by unstable wind and light power and overshoot of the fan and the inverter, so that the target power is stably adjusted.

Claims (10)

1. Active support type scene stores up integration power control system, its characterized in that includes:
the NSEA RTsuite middleware reads and writes data by adopting a uniform access interface; the NSEA RTsuite middleware comprises an Nsealink converged communication system; and
the application software layer realizes the operation of the wind-solar-energy-storage integrated active supporting system by utilizing NSEA RTsuite middleware;
the application software layer comprises:
the acquisition device is used for acquiring the operation parameters of the grid-connected points of the wind and light storage station;
the main control equipment receives the operation parameters of the grid-connected point transmitted by the acquisition device, acquires a local control instruction and a remote scheduling instruction, calculates plant-level target active power and reactive power after algorithm model control operation, and transmits the set active power and reactive power to the execution equipment;
the monitoring equipment is used for deploying a database, storing all the collected point data and the calculated data by using the database, displaying the state information of the equipment, configuring strategies and parameters, inquiring historical data and analyzing the performance of frequency modulation and pressure regulation; and
the energy management system is communicated with the station controlled equipment through the Nsealink fusion communication system and acquires active and reactive power output and running states of the station controlled equipment; and the energy management system automatically decomposes the active/reactive target values issued by the main control equipment to different energy systems in real time.
2. The actively-supported wind, photovoltaic, and storage integrated power control system of claim 1, wherein the grid-connected point operating parameters comprise grid-connected point voltage, current, frequency, active power, reactive power, and power factor.
3. The active support type wind, photovoltaic and energy storage integrated power control system according to claim 1, wherein the algorithm model comprises an AGC module, an AVC module, a primary frequency modulation algorithm model and a virtual inertia algorithm model.
4. The active support type wind, photovoltaic and energy storage integrated power control system according to claim 3, wherein the master control device calculates plant level target active power and reactive power according to a frequency modulation and voltage regulation active support algorithm.
5. The actively-supported wind, photovoltaic, and storage integrated power control system of claim 4, wherein the active support algorithm comprises:
the virtual inertia response algorithm is used for calculating the virtual inertia response active power variation of the photovoltaic power station;
the primary frequency modulation control algorithm is used for calculating the characteristics of active output and frequency of the new energy power plant;
a secondary frequency modulation method;
a coordination method of primary frequency modulation and secondary frequency modulation; and
an automatic voltage control method.
6. The active support type wind, photovoltaic and energy storage integrated power control system according to claim 5, wherein the formula of the virtual inertial response active power variation of the photovoltaic power station is as follows:
Figure FDA0003069139800000021
wherein, TJThe virtual inertia response time constant of the new energy generator set is obtained; f is the grid-connected point frequency of the new energy generator set; f. ofNRated frequency of a grid-connected point of the new energy generator set; delta P is the active power variation of the new energy generator set; p is the rated power of the new energy generator set;
the relation between the active output and the frequency of the new energy power plant is as follows:
Figure FDA0003069139800000022
in the formula,. DELTA.f: the difference between the current frequency and the nominal frequency; p: when the current frequency is delta f, outputting a target value of active power; p0: outputting an initial value of active power; pN: rated power of the power station; f. ofN: a system rated frequency; f. ofd: a primary frequency modulation response dead zone; delta%: and (4) adjusting the difference rate.
7. The active support type wind, solar and energy storage integrated power control system according to claim 1, wherein the energy management system automatically decomposes active/reactive target values issued by the main control device to different energy systems in real time according to a dynamic power distribution method; the power dynamic distribution method comprises an active power distribution algorithm and a reactive power distribution algorithm.
8. The actively-supported wind, photovoltaic and energy storage integrated power control system as claimed in claim 7, wherein the active power distribution algorithm comprises:
the real-time active power proportion distribution algorithm comprises the following steps: distributing a target adjusting power value of each fan/inverter according to the proportion relation of the single machine actual power of each fan/inverter to the total power; the calculation formula is as follows:
Figure FDA0003069139800000031
available theoretical power proportional allocation algorithm: distributing a target adjusting power value of each fan/inverter according to the proportional relation of the theoretical power available for each fan/inverter single machine; the calculation formula is as follows:
Figure FDA0003069139800000032
in the formula, N: the number of the fans/inverters can participate in rapid frequency adjustment; pdst[i]: each fan/inverter/energy storage unit target adjusting power value; pcanadj-r＝∑Prt-r[i]Namely, the sum of the theoretical power available for the fast frequency fan/inverter can be participated; pcanadj＝∑Prt[i]And the real-time total power of the fast frequency fan/inverter can be participated.
9. The actively-supported wind, photovoltaic and energy storage integrated power control system as claimed in claim 7, wherein the reactive power distribution algorithm comprises:
the equal power factor distribution algorithm: calculating a target power factor of the fan cluster according to the reactive instruction value of the AVC system and the station power instruction value; corresponding to each fan/inverter/SVG, calculating a fan reactive power target value according to a target power factor and the active power of the fan;
equal offset method: when the reactive power increasing or decreasing value ratios of all the units are the same, calculating the ratio of the total reactive power target value to the upper limit and the lower limit of the total reactive power of the whole plant according to the total reactive power instruction, and calculating the upper limit and the lower limit of the total reactive power of the whole plant according to the upper limit and the lower limit of the reactive power of each unit;
an isochoric method: and calculating the reactive power adjustment quantity of each power generation/energy storage unit by comprehensively considering the total active power, the reactive power and the output range of the adjustable unit.
10. The energy distribution method of the active support type wind, light and storage integrated power control system is characterized in that the method is carried out based on the active support type wind, light and storage integrated power control system of any one of claims 1 to 9, and comprises the following steps:
s1, energy distribution strategy under AGC control mode: wind power and photovoltaic power generation are set to be preferentially utilized in the wind-solar-storage micro-grid, so that the demand of a dispatching instruction is met; the stored energy is charged when the wind power and photovoltaic output is greater than the dispatching instruction value, and is discharged when the wind power and photovoltaic output cannot meet the dispatching instruction value;
the energy storage charge state is protected and controlled by revising a power generation plan issued by a dispatching center;
s2, energy distribution strategy in primary frequency modulation and virtual inertia modes: in the initial stage of primary frequency modulation and virtual inertia response starting, the energy storage system bears the main active power adjustment quantity by utilizing the characteristic of high energy storage charge-discharge rate; along with the response of the power of the fan and the photovoltaic, the charge and discharge of the energy storage system are dynamically adjusted, the state is gradually transited to the state that the fan and the photovoltaic bear the main active power adjustment amount, and the energy storage unit mainly supplements output fluctuation caused by unstable wind and light power and overshoot of the fan and an inverter.
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