CN116093931A - Edge-calculation-based source network load storage coordination control system - Google Patents

Edge-calculation-based source network load storage coordination control system Download PDF

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Publication number
CN116093931A
CN116093931A CN202310027556.9A CN202310027556A CN116093931A CN 116093931 A CN116093931 A CN 116093931A CN 202310027556 A CN202310027556 A CN 202310027556A CN 116093931 A CN116093931 A CN 116093931A
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coordination control
source network
power
energy storage
load
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刘太华
王信昌
李鹏涛
郝栋梁
陈�全
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Beijing Agent Devote Power Technology Dev Co ltd
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Beijing Agent Devote Power Technology Dev Co ltd
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00001Circuit 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]
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00002Circuit 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 monitoring
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00032Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/002Flicker reduction, e.g. compensation of flicker introduced by non-linear load
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/003Load forecast, e.g. methods or systems for forecasting future load demand
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/008Circuit arrangements for ac mains or ac distribution networks involving trading of energy or energy transmission rights
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/01Arrangements for reducing harmonics or ripples
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/12Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
    • H02J3/14Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/12Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
    • H02J3/14Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
    • H02J3/144Demand-response operation of the power transmission or distribution network
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/12Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
    • H02J3/16Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by adjustment of reactive power
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/24Arrangements for preventing or reducing oscillations of power in networks
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/24Arrangements for preventing or reducing oscillations of power in networks
    • H02J3/241The oscillation concerning frequency
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28Arrangements for balancing of the load in a network by storage of energy
    • H02J3/32Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/381Dispersed generators
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46Controlling of the sharing of output between the generators, converters, or transformers
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46Controlling of the sharing of output between the generators, converters, or transformers
    • H02J3/466Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/10Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20The dispersed energy generation being of renewable origin
    • H02J2300/22The renewable source being solar energy
    • H02J2300/24The renewable source being solar energy of photovoltaic origin
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20The dispersed energy generation being of renewable origin
    • H02J2300/28The renewable source being wind energy
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/40Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation wherein a plurality of decentralised, dispersed or local energy generation technologies are operated simultaneously

Abstract

The invention discloses a load storage coordination control system based on an edge computing source network, which comprises the following steps: the source network load storage coordination control master station terminal is arranged in a main power supply transformer substation and is respectively connected with the main grid-connected point SVG system, the main grid-connected point wind power system and the main grid-connected point photovoltaic system; the energy storage battery unit is arranged at the main power supply transformer substation and comprises an energy storage battery EMS system which is connected with a source network charge storage coordination control master station terminal; the edge calculation coordination control substation terminals are arranged at all sub grid-connected sites and are connected with the source network load storage coordination control master station terminal; the source network charge storage coordination control master station terminal collects grid-connected point current, voltage, active power, reactive power, harmonic current, frequency, load data, SVG data, fan and/or photovoltaic inverter data, receives a power grid dispatching instruction, real-time electric value, an SOC value of an energy storage battery unit and data uploaded by each edge calculation coordination control substation terminal, and executes optimization decision according to the obtained data.

Description

Edge-calculation-based source network load storage coordination control system
Technical Field
The invention relates to the technical field of comprehensive energy regulation and control, in particular to a charge storage coordination control system based on an edge computing source network, which is more particularly suitable for the technical field of distributed power generation, energy storage, harmonic wave treatment, reactive compensation and load regulation and control of new energy of an end user or a park, and utilizes the advantages of edge computing and control to establish coordination control of the source network so as to realize full utilization of various energy sources.
Background
At present, novel power sources such as distributed photovoltaic, wind power and energy storage are installed close to a load center, so that the in-situ consumption of new energy is realized, the energy utilization efficiency is improved, and the novel energy source is one of main paths for energy structure adjustment. After a large number of distributed power supplies are connected into a terminal power grid, the problems of terminal voltage rise, outstanding reactive balance voltage control, increased power grid frequency safety risk, increased power balance and peak regulation pressure, reduced power quality level, high harmonic content, damage to power distribution network equipment, reduced product quality qualification rate and the like can occur. The energy storage equipment and the electric energy quality control device are required to be added, and distributed power supply, energy storage, electric power quality control, reactive compensation and load coordination control are required to realize source network load coordination control and electric energy quality control. In order to realize the on-site energy consumption, reduce the power transmission loss, optimize the energy consumption structure, still can encourage end users or parks to participate in the electric market, according to real-time price requirement and frequency modulation needs, realize end users 'distributed power supply and energy storage to participate in electric trade, peak shaving frequency modulation needs, and then need to carry out coordinated control to end users' distributed power supply, energy storage, electric energy quality, reactive compensation, load, therefore, the field needs a coordinated control system of source network load storage.
Disclosure of Invention
In order to solve the problems, the invention provides a charge storage coordination control system based on an edge computing source network, which organically combines an edge computing technology, an Internet of things technology, a 4G/5G communication technology, a peak regulation and frequency modulation technology, a primary frequency modulation technology, a harmonic treatment technology, a load control technology, a load prediction technology, new energy power generation theoretical power and an electricity price transaction mechanism to realize coordination control of a distributed power supply, energy storage, load control, harmonic treatment, reactive power, frequency modulation and the like, so that an end user or a park can participate in auxiliary service of a power grid under the condition of meeting self safe, stable and economic operation conditions.
In order to achieve the above objective, the present invention provides a coordinated control system for computing source network load storage based on edge, comprising:
the source network load storage coordination control master station terminal is arranged in a main power supply substation and is respectively connected with a main grid-connected point SVG system, a main grid-connected point wind power system and a main grid-connected point photovoltaic system;
the energy storage battery unit is arranged at the main power supply substation and comprises an energy storage battery EMS system, wherein the energy storage battery EMS system is connected with the source network charge storage coordination control master station terminal and is used for uploading the SOC value of the energy storage battery unit;
the edge calculation coordination control substation terminals are arranged at all sub grid-connected sites and connected with the source network charge storage coordination control master station terminal, and are used for collecting data of current, voltage, active power, reactive power, harmonic current, frequency and SVG of each sub grid-connected site, and uploading real-time load parameters to the source network charge storage coordination control master station terminal;
the source network charge storage coordination control main station terminal collects grid-connected point current, voltage, active power, reactive power, harmonic current, frequency, load data, SVG data, fan and/or photovoltaic inverter data, receives a grid dispatching instruction, real-time electric value, an SOC value of an energy storage battery unit and data uploaded by each edge calculation coordination control sub-station terminal, and executes the following optimization decision according to the obtained data:
when the power quality harmonic wave does not meet the requirement, the harmonic wave is treated preferentially;
if the power quality harmonic wave meets the requirement and the power grid dispatching needs to reduce the active power, preferentially cutting off the controllable load power supply;
if the controllable load power supply is cut off and still cannot meet the requirements, the power generation output is reduced according to the sequence of adjusting the energy storage, the photovoltaic power generation and the fan power generation;
the source network charge storage coordination control master station terminal also executes the following control process:
A. the method participates in the peak shaving interaction of the power grid, and specifically comprises the following steps:
according to the received power grid dispatching instruction, the real-time electric value, the wind power generation load data, the photovoltaic power generation load data and the SOC value of the energy storage battery unit, different peak regulation measures are adopted in the peak electricity price period, the low-valley electricity price period and the low-price electricity consumption period respectively;
B. the method is involved in frequency modulation control, and concretely comprises the following steps:
when the frequency of the grid-connected point exceeds a preset value, starting a frequency modulation algorithm, calculating an active value to be adjusted, preferentially cutting off controllable load power supply, and then sequentially participating in primary frequency modulation control according to the sequence of energy storage, photovoltaic power generation and fan power generation;
C. the voltage reactive power optimization control specifically comprises the following steps:
according to the acquired main grid-connected point voltage, coordination control is performed on energy storage, fan power generation, photovoltaic power generation and reactive power compensation equipment, and terminal user voltage optimization control is participated, wherein the priority order of coordination control is preset as follows: cutting off controllable load power supply, adjusting reactive power compensation equipment, adjusting energy storage, adjusting output of a photovoltaic inverter and adjusting wind power generation so as to meet the requirement of voltage control;
D. harmonic treatment is carried out, specifically:
and filtering out harmonic waves by using a harmonic wave treatment device according to the acquired harmonic wave data.
In an embodiment of the invention, each edge calculation coordination control substation terminal is connected with the source network charge storage coordination control master station terminal through an optical fiber network or a 4G/5G internet of things.
In an embodiment of the present invention, peak shaving measures of the source network load storage coordination control master station terminal specifically include:
if the electricity price is the peak electricity price or the peak electricity price, preferentially cutting off the controllable load power supply, controlling the energy storage battery unit to participate in peak regulation, and controlling the photovoltaic power station and/or the wind power generation full-capacity power generation to participate in peak regulation;
if the electricity price is the low electricity price, a controllable load is put into the system, the energy storage battery unit is controlled to charge, and meanwhile, the photovoltaic power station and/or the wind power generation generate electricity with full output and the generated energy is used for energy storage;
and if the electricity price is the low-price electricity price at the moment, selecting the priority according to the current energy storage and load-controllable data and the actual running condition of the photovoltaic power station and/or the wind power generation and the optimization decision.
In an embodiment of the invention, hardware of the source network charge storage coordination control master station terminal adopts a four-core Cortex-A53 architecture and is provided with a serial port, an industrial Ethernet interface and an Internet of things 4G/5G communication module; the software platform adopts an open operating system based on RT-linux.
In an embodiment of the invention, hardware of each edge calculation coordination control substation terminal adopts a four-core Cortex-A53 architecture and is provided with a serial port, an industrial Ethernet interface and an Internet of things 4G/5G communication module; the software platform adopts an open operating system based on RT-linux.
In an embodiment of the present invention, the active value to be adjusted in B is:
Figure SMS_1
/>
wherein f d Is a fast frequency response dead zone in Hz; f (f) N The unit is Hz for the rated frequency of the system; p (P) N Rated power, in MW; delta% is the new energy rapid frequency response gap adjustment rate; p (P) 0 The active power is the initial value of active power, and the unit is MW.
Compared with the prior art, the load storage coordination control system based on the edge computing source network provided by the invention has at least the following advantages:
1) The coordination control of energy storage, distributed power supply, load, electric energy quality control, peak shaving, frequency modulation and the like is realized, so that a source network charge storage layered distribution coordination control system is formed;
2) The system can fully utilize the edge calculation container and the virtual technology, and integrate the functions of peak regulation, frequency modulation, energy storage, load prediction, electric energy quality management, hierarchical distribution coordination control and the like into an edge calculation coordination control terminal;
3) The coordination control of theoretical power generation, load prediction and real-time electricity price participation in source network charge storage can be realized.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a system architecture diagram of an embodiment of the present invention;
FIG. 2 is a flow chart of coordination control according to an embodiment of the present invention;
reference numerals illustrate: 101-a source network charge storage coordination control master station terminal; 102-a main grid-connected point SVG system; 103-an energy storage battery EMS system; 104-a main grid-connected point wind power system; 105-a main grid-connected point photovoltaic system; 106-edge computation cooperation control substation terminal.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without any inventive effort, are intended to be within the scope of the invention.
Fig. 1 is a system architecture diagram of an embodiment of the present invention, and fig. 2 is a coordination control flow chart of an embodiment of the present invention, as shown in fig. 1 and fig. 2, the embodiment provides a coordinated control system for computing source network load storage based on an edge, which includes:
a source network load storage coordination control master station terminal 101, which is arranged in a main power substation and is respectively connected with a main grid-connected point SVG (Static Var Generator ) system 102, a main grid-connected point wind power system 104 and a main grid-connected point photovoltaic system 105; the main grid-connected point SVG system 102, the main grid-connected point wind power system 104 and the main grid-connected point photovoltaic system 105 are existing systems of the main grid-connected point, and are not described in detail herein;
the energy storage battery unit is arranged in the main power supply transformer substation and comprises an energy storage battery EMS (Energy Management System) system 103, wherein the energy storage battery EMS system 103 is connected with a source network Charge storage coordination control master station terminal 101 and is used for uploading an SOC (State of Charge) value of the energy storage battery unit;
the edge calculation coordination control substation terminals 106 are arranged at the sub grid-connected sites and connected with the source network charge storage coordination control master station terminal 101, and are used for collecting parameters such as current, voltage, active power, reactive power, harmonic current, frequency, SVG data, real-time load and the like of each sub grid-connected site and uploading the parameters to the source network charge storage coordination control master station terminal 101;
in this embodiment, each edge computing coordination control substation terminal 106 is connected to the source network load storage coordination control master station terminal 101 through an optical fiber network or a 4G/5G internet of things, so as to implement real-time communication and data exchange.
The source network load storage coordination control master station terminal 101 collects grid-connected point current, voltage, active power, reactive power, harmonic current, frequency, load data, SVG data, fan and/or photovoltaic inverter data, receives a grid dispatching instruction, real-time electric value, an SOC value of an energy storage battery unit and data uploaded by each edge calculation coordination control substation terminal 106, and executes the following optimization decision according to the obtained data:
when the power quality harmonic wave does not meet the requirement, the harmonic wave is treated preferentially;
if the power quality harmonic wave meets the requirement and the power grid dispatching needs to reduce the active power, preferentially cutting off the controllable load power supply;
if the controllable load power supply is cut off and still cannot meet the requirements, the power generation output is reduced according to the sequence of adjusting the energy storage, the photovoltaic power generation and the fan power generation;
the source network charge storage coordination control master station terminal 101 also performs the following control procedure:
A. the method participates in the peak shaving interaction of the power grid, and specifically comprises the following steps:
according to the received power grid dispatching instruction, the real-time electric value, the wind power generation load data, the photovoltaic power generation load data and the SOC value of the energy storage battery unit, different peak regulation measures are adopted in the peak electricity price period, the low-valley electricity price period and the low-price electricity consumption period respectively;
in this embodiment, the peak shaving measures of the source network load storage coordination control master station terminal 101 specifically include:
1) If the electricity price is the peak electricity price or the peak electricity price, preferentially cutting off the controllable load power supply, controlling the energy storage battery unit to participate in peak regulation, and controlling the photovoltaic power station and/or the wind power generation full-capacity power generation to participate in peak regulation;
2) If the electricity price is the low electricity price, a controllable load is put into the system, the energy storage battery unit is controlled to charge, and meanwhile, the photovoltaic power station and/or the wind power generation generate electricity with full output and the generated energy is used for energy storage;
3) If the electricity price is the low-price electricity price at this time, the priority is selected according to the current data of energy storage and controllable load and the actual running condition of the photovoltaic power station and/or wind power generation and according to the optimization decision so as to realize the interaction of energy storage, photovoltaic and wind power, and the controllable load participates in the interaction, thereby improving the benefits of a terminal user or a park;
B. the method is involved in frequency modulation control, and concretely comprises the following steps:
when the frequency of the grid-connected point exceeds a preset value, starting a frequency modulation algorithm, and calculating an active value to be adjusted, wherein the active value to be adjusted is
Figure SMS_2
Wherein f d Is a fast frequency response dead zone in Hz; f (f) N The unit is Hz for the rated frequency of the system; p (P) N Rated power, in MW; delta% is the new energy rapid frequency response gap adjustment rate; p (P) 0 The unit is MW for the initial value of active power; preferentially cutting off controllable load power supply, and then sequentially participating in primary frequency modulation control according to the sequence of energy storage, photovoltaic power generation and fan power generation so as to mobilize the fan, the photovoltaic power, the energy storage and the load to participate in primary frequency modulation; the frequency modulation algorithm can adopt any existing algorithm, and the invention is not limited to the algorithm;
C. the voltage reactive power optimization control specifically comprises the following steps:
according to the acquired main grid-connected point voltage, coordination control is performed on energy storage, fan power generation, photovoltaic power generation and reactive power compensation equipment, and terminal user voltage optimization control is participated, wherein the priority order of coordination control is preset as follows: cutting off controllable load power supply, adjusting reactive power compensation equipment (such as SVG), adjusting energy storage, adjusting output of a photovoltaic inverter and adjusting wind power generation so as to meet the requirement of voltage control;
D. harmonic treatment is carried out, specifically:
according to the collected harmonic data, harmonic waves are filtered by utilizing a harmonic wave treatment device, such as SVG\MCR (magnetic control reactor, which is called a magnetic valve type controllable reactor in full) and the like.
In this embodiment, the hardware of the source network charge storage coordination control master station terminal 101 adopts a four-core Cortex-A53 architecture, and has a serial port, an industrial ethernet interface and an internet of things 4G/5G communication module; the software platform adopts an open operating system based on RT-linux.
In this embodiment, the hardware of each edge computation cooperation substation terminal 106 adopts a four-core Cortex-a53 architecture, and has a serial port, an industrial ethernet interface and an internet of things 4G/5G communication module; the software platform adopts an open operating system based on RT-linux.
According to the edge-calculation-based source network charge storage coordination control system, the source network charge storage coordination control master station terminal 101 collects parameters such as grid-side grid-connected point voltage, current, active power, reactive power, harmonic current, scheduling instructions, real-time electricity price, frequency, energy storage SOC and the like, and the functions of controlling a main grid-connected point, downloading control instructions to a substation and collecting substation data are integrated; the edge calculation coordination control substation terminal 106 collects parameters such as current, voltage, active power, reactive power, SVG, frequency and the like of each sub grid-connected point; the source network charge storage coordination control master station terminal 101 is connected with the edge calculation coordination control substation terminal 106 through an optical fiber network or a 5G internet of things to realize real-time communication and data exchange; the edge calculation coordination control substation terminal 106 sends the collected data such as active power generation, reactive power generation and sub-load of the distributed power supply to the source network charge storage coordination control main station terminal 101, the source network charge storage coordination control main station terminal 101 receives the sub-station data, performs optimization decision according to power dispatching instructions, harmonic data, real-time transaction electricity price data, SOC data and the like, and then sends an optimization decision instruction to a main station wind spot system, a photovoltaic control system, an energy storage control system, a main station SVG system and each sub-station system for execution, and adjusts a photovoltaic inverter, a fan, SVG, load and the like according to a preset optimization program so as to meet the control requirement of a power grid; meanwhile, harmonic content of sub grid-connected points is monitored, SVG is started to be controlled to realize filtering, and voltage quality is guaranteed. When the acquired frequency exceeds the specified frequency of the power grid, the frequency modulation algorithm is started and calculates the power to be adjusted, and the distributed power source, the energy storage or the load adjustment is determined and scheduled according to the optimization program, so that the coordination control of the source network charge storage main station system and the sub-station system is realized.
Compared with the prior art, the invention has at least the following advantages:
1) The coordination control of energy storage, distributed power supply, load, electric energy quality control, peak regulation, frequency modulation and the like is realized, so that a source network and load storage layered distribution coordination control system is formed;
2) The system can fully utilize the edge calculation container and the virtual technology, and integrate the functions of peak regulation, frequency modulation, energy storage, load prediction, electric energy quality management, hierarchical distribution coordination control and the like into an edge calculation coordination control terminal;
3) The coordination control of theoretical power generation, load prediction and real-time electricity price participation in source network charge storage can be realized.
Those of ordinary skill in the art will appreciate that: the drawing is a schematic diagram of one embodiment and the modules or flows in the drawing are not necessarily required to practice the invention.
Those of ordinary skill in the art will appreciate that: the modules in the apparatus of the embodiments may be distributed in the apparatus of the embodiments according to the description of the embodiments, or may be located in one or more apparatuses different from the present embodiments with corresponding changes. The modules of the above embodiments may be combined into one module, or may be further split into a plurality of sub-modules.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims (6)

1. The utility model provides a source network charge storage coordination control system based on edge calculation which characterized in that includes:
the source network load storage coordination control master station terminal is arranged in a main power supply substation and is respectively connected with a main grid-connected point SVG system, a main grid-connected point wind power system and a main grid-connected point photovoltaic system;
the energy storage battery unit is arranged at the main power supply substation and comprises an energy storage battery EMS system, wherein the energy storage battery EMS system is connected with the source network charge storage coordination control master station terminal and is used for uploading the SOC value of the energy storage battery unit;
the edge calculation coordination control substation terminals are arranged at all sub grid-connected sites and connected with the source network charge storage coordination control master station terminal, and are used for collecting data of current, voltage, active power, reactive power, harmonic current, frequency and SVG of each sub grid-connected site, and uploading real-time load parameters to the source network charge storage coordination control master station terminal;
the source network charge storage coordination control main station terminal collects grid-connected point current, voltage, active power, reactive power, harmonic current, frequency, load data, SVG data, fan and/or photovoltaic inverter data, receives a grid dispatching instruction, real-time electric value, an SOC value of an energy storage battery unit and data uploaded by each edge calculation coordination control sub-station terminal, and executes the following optimization decision according to the obtained data:
when the power quality harmonic wave does not meet the requirement, the harmonic wave is treated preferentially;
if the power quality harmonic wave meets the requirement and the power grid dispatching needs to reduce the active power, preferentially cutting off the controllable load power supply;
if the controllable load power supply is cut off and still cannot meet the requirements, the power generation output is reduced according to the sequence of adjusting the energy storage, the photovoltaic power generation and the fan power generation;
the source network charge storage coordination control master station terminal also executes the following control process:
A. the method participates in the peak shaving interaction of the power grid, and specifically comprises the following steps:
according to the received power grid dispatching instruction, the real-time electric value, the wind power generation load data, the photovoltaic power generation load data and the SOC value of the energy storage battery unit, different peak regulation measures are adopted in the peak electricity price period, the low-valley electricity price period and the low-price electricity consumption period respectively;
B. the method is involved in frequency modulation control, and concretely comprises the following steps:
when the frequency of the grid-connected point exceeds a preset value, starting a frequency modulation algorithm, calculating an active value to be adjusted, preferentially cutting off controllable load power supply, and then sequentially participating in primary frequency modulation control according to the sequence of energy storage, photovoltaic power generation and fan power generation;
C. the voltage reactive power optimization control specifically comprises the following steps:
according to the acquired main grid-connected point voltage, coordination control is performed on energy storage, fan power generation, photovoltaic power generation and reactive power compensation equipment, and terminal user voltage optimization control is participated, wherein the priority order of coordination control is preset as follows: cutting off controllable load power supply, adjusting reactive power compensation equipment, adjusting energy storage, adjusting output of a photovoltaic inverter and adjusting wind power generation so as to meet the requirement of voltage control;
D. harmonic treatment is carried out, specifically:
and filtering out harmonic waves by using a harmonic wave treatment device according to the acquired harmonic wave data.
2. The edge-based computing source network charge storage coordination control system according to claim 1, wherein each edge computing coordination control substation terminal is connected with the source network charge storage coordination control master station terminal through an optical fiber network or a 4G/5G internet of things.
3. The edge-based computing source network load storage coordination control system according to claim 1, wherein the peak shaving measure of the source network load storage coordination control master station terminal specifically comprises:
if the electricity price is the peak electricity price or the peak electricity price, preferentially cutting off the controllable load power supply, controlling the energy storage battery unit to participate in peak regulation, and controlling the photovoltaic power station and/or the wind power generation full-capacity power generation to participate in peak regulation;
if the electricity price is the low electricity price, a controllable load is put into the system, the energy storage battery unit is controlled to charge, and meanwhile, the photovoltaic power station and/or the wind power generation generate electricity with full output and the generated energy is used for energy storage;
and if the electricity price is the low-price electricity price at the moment, selecting the priority according to the current energy storage and load-controllable data and the actual running condition of the photovoltaic power station and/or the wind power generation and the optimization decision.
4. The edge computing-based source network charge storage coordination control system according to claim 1, wherein the hardware of the source network charge storage coordination control master station terminal adopts a four-core Cortex-A53 architecture and is provided with a serial port, an industrial Ethernet interface and an Internet of things 4G/5G communication module; the software platform adopts an open operating system based on RT-linux.
5. The load storage coordination control system based on the edge computing source network according to claim 1, wherein the hardware of each edge computing coordination control substation terminal adopts a four-core Cortex-A53 architecture and is provided with a serial port, an industrial Ethernet interface and an Internet of things 4G/5G communication module; the software platform adopts an open operating system based on RT-linux.
6. The edge-based computing source network load storage coordination control system according to claim 1, wherein the active value to be adjusted in B is:
Figure FDA0004045235280000031
wherein f d Is a fast frequency response dead zone in Hz; f (f) N The unit is Hz for the rated frequency of the system; p (P) N Rated power, in MW; delta% is the new energy rapid frequency response gap adjustment rate; p (P) 0 The active power is the initial value of active power, and the unit is MW.
CN202310027556.9A 2023-01-09 2023-01-09 Edge-calculation-based source network load storage coordination control system Pending CN116093931A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117055449A (en) * 2023-10-11 2023-11-14 南京荣泰电气自动化有限公司 Implementation method of coordination control device for high-capacity energy storage power station

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117055449A (en) * 2023-10-11 2023-11-14 南京荣泰电气自动化有限公司 Implementation method of coordination control device for high-capacity energy storage power station
CN117055449B (en) * 2023-10-11 2023-12-26 南京荣泰电气自动化有限公司 Implementation method of coordination control device for high-capacity energy storage power station

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