CN117424267A - Power system peak shaving method and device for energy storage capacity optimal configuration - Google Patents
Power system peak shaving method and device for energy storage capacity optimal configuration Download PDFInfo
- Publication number
- CN117424267A CN117424267A CN202311385496.4A CN202311385496A CN117424267A CN 117424267 A CN117424267 A CN 117424267A CN 202311385496 A CN202311385496 A CN 202311385496A CN 117424267 A CN117424267 A CN 117424267A
- Authority
- CN
- China
- Prior art keywords
- power
- value
- energy storage
- storage system
- distribution network
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000004146 energy storage Methods 0.000 title claims abstract description 176
- 238000000034 method Methods 0.000 title claims abstract description 35
- 238000009826 distribution Methods 0.000 claims abstract description 98
- 238000001514 detection method Methods 0.000 claims abstract description 39
- 238000010248 power generation Methods 0.000 claims description 46
- 238000004364 calculation method Methods 0.000 claims description 26
- 238000011217 control strategy Methods 0.000 claims description 13
- 238000005457 optimization Methods 0.000 claims description 5
- 230000006641 stabilisation Effects 0.000 abstract description 6
- 238000011105 stabilization Methods 0.000 abstract description 6
- 230000004044 response Effects 0.000 abstract description 5
- 230000001276 controlling effect Effects 0.000 description 15
- 238000010586 diagram Methods 0.000 description 11
- 230000008859 change Effects 0.000 description 10
- 230000033228 biological regulation Effects 0.000 description 8
- 238000004590 computer program Methods 0.000 description 7
- 238000003860 storage Methods 0.000 description 6
- 230000006870 function Effects 0.000 description 5
- 238000012545 processing Methods 0.000 description 4
- 230000008901 benefit Effects 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 238000010276 construction Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000000087 stabilizing effect Effects 0.000 description 1
Classifications
-
- 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
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
- H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
-
- 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
-
- 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
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/22—The renewable source being solar energy
- H02J2300/24—The renewable source being solar energy of photovoltaic origin
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention discloses a power system peak shaving method and device for energy storage capacity optimal configuration, wherein the method comprises the following steps: acquiring a detection voltage value and a detection frequency value of a connection point of the energy storage system and the power distribution network; respectively calculating a first difference value between the detection voltage value of the connection point and the bus voltage value of the power distribution network and a second difference value between the detection frequency value and the bus frequency value of the power distribution network; calculating a power deviation value output by the energy storage system based on the first difference value and the second difference value; and adjusting the output power of the energy storage system through droop control based on the power deviation value to realize peak shaving of the power distribution network. The power of the energy storage system is controlled from the two angles of the frequency and the PCC point voltage, so that the rapid response to the peak shaving requirement of the whole system can be realized, the power stabilization and the power balance of a local power supply can be realized, meanwhile, the running state of the energy storage system is considered, the peak shaving capacity of the energy storage system is limited, and the running of the energy storage system is protected.
Description
Technical Field
The invention relates to the technical field of power distribution network control, in particular to a power system peak regulation method and device for energy storage capacity optimal configuration.
Background
The output power of the power generation systems such as photovoltaic power and wind power has the characteristics of instability and unpredictability, and the power quality and safe and stable operation of the power system can be influenced after the new energy power generation system is connected with the grid. In addition, as the user load increases and the load fluctuates, the peak-to-valley difference of the power load increases. In order to ensure the stable operation and the power supply and consumption balance of the power grid, corresponding peak clipping and valley filling measures are needed. Meanwhile, as large-scale new energy is gradually connected into an alternating current power grid, the system is easy to generate power unbalance in extreme weather conditions or when the load is overweight, so that reactive power shortage of the alternating current system is caused, and the energy storage of the system needs to be mobilized to realize peak shaving of the whole system.
The traditional peak shaving method comprises thermal power peak shaving, gas turbine unit peak shaving and hydropower peak shaving. The peak regulation is carried out by adjusting the output of the power distribution network from the network side, so that high requirements are put on the power distribution network system. From the viewpoints of construction cost and energy utilization, it becomes more and more difficult to perform peak shaving by adding power generation, transmission and distribution equipment.
The storage battery energy storage system (Battery Energy Storage System, BESS) has the advantages of high energy storage density, flexible installation and construction, high control response speed and the like, and can more conveniently adjust the peak and valley of the power grid from the load side. The method for peak regulation control by using the BESS not only can reduce the investment of network side equipment, but also can reduce line loss, improves the equipment utilization rate and economic benefit, and is one of effective ways for solving the problem of peak-valley of electric power.
At present, a plurality of peak shaving methods are proposed in a plurality of application researches of BESS in a new energy grid-connected system, and the main solutions comprise the following three modes:
firstly, the BESS is applied to stabilizing photovoltaic power and wind power, namely, the power of the photovoltaic power or the wind power is detected, and when the power fluctuates, the power is actively emitted or absorbed, so that the fluctuation of the new energy power is stabilized. The local power supply calculates and outputs the power information which needs to be supplemented, and the power output of the energy storage system is controlled through droop control. The control mode can only realize the power stabilization of the new energy system, only performs power compensation for the local new energy, and can not perform peak shaving as long as the local new energy still generates power according to the target when the power shortage of the alternating current system occurs.
And secondly, the self power is regulated based on the voltage balance of the PCC points, so that the voltage balance of the PCC points is achieved, the balance of the system power is ensured, and the purpose of peak regulation is achieved. Through U pcc And comparing the power output with a reference voltage, determining the requirement of power change, and controlling the power output of the energy storage system through droop control. The method adjusts the output power of the energy storage system by adjusting the voltage of the PCC point, and has the main problems that: in the system, the voltage of the PCC point can reflect the change of power to a certain extent, but is also influenced by the running condition of the alternating current system and the reactive change of the near zone, so that the peak regulation requirement is difficult to accurately capture only through the voltage control of the PCC point, and the power fluctuation is easy to occur in the reactive change process of the near zone.
Thirdly, the frequency of the alternating current system is detected, the power of the energy storage system is adjusted according to the frequency change, and the system frequency is stabilized, so that the purpose of peak shaving is achieved. And determining the requirement of power change through comparing the actual frequency with the reference frequency, and controlling the power output of the energy storage system through droop control. The method can be used for sharply tracking the overall power change of the alternating current system by monitoring the change of the frequency and adjusting the power change, and is a relatively perfect method. However, for the distributed new energy plant, because the capacity of the plant is small, the fluctuation of the power of the plant cannot cause frequency change even if the power fluctuates greatly, so that the method cannot realize power stabilization and power balance of the plant.
Disclosure of Invention
The embodiment of the invention aims to provide a power system peak regulation method and device for energy storage capacity optimal configuration, which can realize quick response to peak regulation requirements of a whole system and realize power stabilization and power balance of a local power supply by controlling the power of an energy storage system from two angles of frequency and PCC point voltage, and simultaneously consider the running state of the energy storage system to limit the peak regulation capacity of the energy storage system, thereby protecting the running of the energy storage system.
In order to solve the above technical problems, a first aspect of the embodiments of the present invention provides a power system peak shaving method with optimized configuration of energy storage capacity, including the following steps:
acquiring a detection voltage value and a detection frequency value of a connection point of the energy storage system and the power distribution network;
respectively calculating a first difference value between the detection voltage value of the connection point and the bus voltage value of the power distribution network and a second difference value between the detection frequency value and the bus frequency value of the power distribution network;
calculating a power deviation value output by the energy storage system based on the first difference value and the second difference value;
and adjusting the output power of the energy storage system through droop control based on the power deviation value to realize peak shaving of the power distribution network.
Further, a calculation formula of the power deviation value Δp output by the energy storage system is as follows:
S＝P+jQ；
Z＝R+jX；
wherein K is 1 、K 2 、K 3 、K 4 For the adjustment coefficient, Δu is the voltage difference between the bus voltage of the distribution network and the connection point of the energy storage system, Δf is the second difference, S is the power value transmitted between the distribution network and the new energy power generation system connected with the distribution network, P is the active power value transmitted between the distribution network and the new energy power generation system connected with the distribution network, Q is the reactive power value transmitted between the distribution network and the new energy power generation system connected with the distribution network, R is the real part of the output impedance of the new energy power generation system, X is the imaginary part of the output impedance of the new energy power generation system, U s U is the bus voltage value of the power distribution network pcc And detecting a voltage value for a connection point of the energy storage system and the power distribution network.
Further, the adjustment coefficient K 1 、K 2 、K 3 、K 4 The calculation formulas of (a) are respectively as follows:
K 2 ＝δK 1 ；
K 3 ＝(1-δ)K 4 ；
wherein P is ref For rated active reference power, Q ref For rated reactive reference power, U ref For the voltage value of the bus of the distribution network at the connection point, SCR is the effective short-circuit ratio of the access system, f ref And delta is a weighting coefficient and is adjusted according to the type of the energy storage system.
Further, after the adjusting the output power of the energy storage system through droop control, the method further includes:
acquiring a residual electric quantity value of the energy storage system;
when the residual electric quantity value of the energy storage system is larger than or equal to a first preset proportional value, controlling the output current value of the energy storage system based on the output power corresponding to the power deviation value;
when the residual electric quantity value of the energy storage system is smaller than the first preset proportion value and larger than or equal to the second preset proportion value, controlling the output current value of the energy storage system according to a preset control strategy;
and stopping outputting current of the energy storage system when the residual electric quantity value of the energy storage system is smaller than the second preset proportion value.
Further, the first preset proportion value is 45%;
the second preset proportion value is 35%; and/or
The energy storage system outputs a current value I according to the preset control strategy bat* The calculation formula of (2) is as follows:
wherein I is 0 And controlling the output current value of the energy storage system for the output power corresponding to the power deviation value, wherein the SOC is the residual electric quantity value of the energy storage system.
Accordingly, a second aspect of the embodiment of the present invention provides a peak shaving device for an electric power system with optimized configuration of energy storage capacity, including:
the connection point detection module is used for acquiring a detection voltage value and a detection frequency value of a connection point of the energy storage system and the power distribution network;
the first difference calculation module is used for calculating a first difference value between the detection voltage value of the connection point and the bus voltage value of the power distribution network and a second difference value between the detection frequency value and the bus frequency value of the power distribution network respectively;
a second difference calculation module for calculating a power deviation value output by the energy storage system based on the first difference and the second difference;
and the output power control module is used for adjusting the output power of the energy storage system through droop control based on the power deviation value so as to realize peak shaving of the power distribution network.
Further, a calculation formula of the power deviation value Δp output by the energy storage system is as follows:
S＝P+jQ；
Z＝R+jX；
wherein K is 1 、K 2 、K 3 、K 4 For the adjustment coefficient, Δu is the voltage difference between the bus voltage of the distribution network and the connection point of the energy storage system, Δf is the second difference, S is the power value transmitted between the distribution network and the new energy power generation system connected with the distribution network, P is the active power value transmitted between the distribution network and the new energy power generation system connected with the distribution network, Q is the reactive power value transmitted between the distribution network and the new energy power generation system connected with the distribution network, R is the real part of the output impedance of the new energy power generation system, X is the imaginary part of the output impedance of the new energy power generation system, U s U is the bus voltage value of the power distribution network pcc And detecting a voltage value for a connection point of the energy storage system and the power distribution network.
Further, the adjustment coefficient K 1 、K 2 、K 3 、K 4 The calculation formulas of (a) are respectively as follows:
K 2 ＝δK 1 ；
K 3 ＝(1-δ)K 4 ；
wherein P is ref For rated active reference power, Q ref For rated reactive reference power, U ref For the voltage value of the bus of the distribution network at the connection point, SCR is the effective short-circuit ratio of the access system, f ref And delta is a weighting coefficient and is adjusted according to the type of the energy storage system.
Further, the peak shaving device of the power system with the energy storage capacity optimized configuration further comprises: a clipping control module, the clipping control module comprising:
the electric quantity detection unit is used for acquiring the residual electric quantity value of the energy storage system;
a first output control unit for controlling an output current value of the energy storage system based on an output power corresponding to the power deviation value when a remaining electric power value of the energy storage system is greater than or equal to a first preset proportional value;
the second output control unit is used for controlling the output current value of the energy storage system according to a preset control strategy when the residual electric quantity value of the energy storage system is smaller than the first preset proportion value and larger than or equal to a second preset proportion value;
and the third output control unit is used for stopping the output current of the energy storage system when the residual electric quantity value of the energy storage system is smaller than the second preset proportion value.
Further, the first preset proportion value is 45%;
the second preset proportion value is 35%; and/or
The energy storage system outputs a current value I according to the preset control strategy bat* The calculation formula of (2) is as follows:
wherein I is 0 And controlling the output current value of the energy storage system for the output power corresponding to the power deviation value, wherein the SOC is the residual electric quantity value of the energy storage system.
Accordingly, a third aspect of the embodiment of the present invention provides an electronic device, including: at least one processor; and a memory coupled to the at least one processor; the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor, so that the at least one processor executes the power system peak shaving method of the energy storage capacity optimization configuration.
Accordingly, a fourth aspect of the embodiments of the present invention provides a computer-readable storage medium having stored thereon computer instructions that, when executed by a processor, implement a power system peaking method for energy storage capacity optimization configurations described above.
The technical scheme provided by the embodiment of the invention has the following beneficial technical effects:
the power of the energy storage system is controlled from the two angles of the frequency and the PCC point voltage, so that the rapid response to the peak shaving requirement of the whole system can be realized, the power stabilization and the power balance of a local power supply can be realized, meanwhile, the running state of the energy storage system is considered, the peak shaving capacity of the energy storage system is limited, and the running of the energy storage system is protected.
Drawings
Fig. 1 is a flowchart of a peak shaving method of an electric power system with energy storage capacity optimally configured according to an embodiment of the present invention;
fig. 2 is a schematic diagram of connection between a power distribution network and a new energy system according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of an output control principle of the energy storage system according to the embodiment of the present invention;
fig. 4 is a block diagram of a peak shaver device of an electric power system with energy storage capacity optimally configured according to an embodiment of the present invention;
fig. 5 is a block diagram of an energy storage system clipping control module according to an embodiment of the present invention.
Reference numerals:
1. the device comprises a connection point detection module 2, a first difference calculation module 3, a second difference calculation module 4, an output power control module 5, a limiting control module 51, an electric quantity detection unit 52, a first output control unit 53, a second output control unit 54 and a third output control unit.
Detailed Description
The objects, technical solutions and advantages of the present invention will become more apparent by the following detailed description of the present invention with reference to the accompanying drawings. It should be understood that the description is only illustrative and is not intended to limit the scope of the invention. In addition, in the following description, descriptions of well-known structures and techniques are omitted so as not to unnecessarily obscure the present invention.
Referring to fig. 1, fig. 2 and fig. 3, a first aspect of the embodiment of the present invention provides a power system peak shaving method with optimized configuration of energy storage capacity, which includes the following steps:
step S100, a detection voltage value and a detection frequency value of a connection point of the energy storage system and the power distribution network are obtained.
Step S200, a first difference value between the detection voltage value of the connection point and the bus voltage value of the power distribution network and a second difference value between the detection frequency value and the bus frequency value of the power distribution network are calculated respectively.
Step S300, calculating a power deviation value output by the energy storage system based on the first difference value and the second difference value.
Step S400, adjusting the output power of the energy storage system through droop control based on the power deviation value, so as to realize peak shaving of the power distribution network.
As shown in fig. 1, fig. 1 is an equivalent circuit diagram of a new energy power supply system, where the new energy power supply system may be selected as a photovoltaic power generation system, and the transmission power S between the new energy power supply system and a bus of a power distribution network is as follows:
S＝P+jQ；
thus, the voltage difference Δu between the distribution grid bus voltage and the PCC points of the photovoltaic power generation system is as follows:
and further derive Δu:
P＝P G +P L ；
Q＝Q G +Q L ；
Z＝R+jX；
wherein P is G Is the power generation power of a new energy power generation system, P L Load power in a factory; q (Q) G Reactive power consumed by new energy power generation system, Q L Reactive power is consumed in the factory.
Because the value of X is much greater than R, the following formula can be derived:
wherein U is pcc The voltage value is detected at the connection point of the energy storage system and the power distribution network.
Thus, the power variation of the output can be controlled in a manner that controls the voltage of the PCC. As shown in fig. 1, the voltage amplitude and frequency of the PCC point are obtained by monitoring the voltage signal of the PCC point, and the voltage amplitude deviation and frequency deviation are sent to a power deviation calculation module by making a difference with the voltage amplitude and frequency of the reference, so as to calculate the power deviation of the final output.
In a specific implementation manner of the embodiment of the present invention, a calculation formula of the power deviation value Δp output by the energy storage system is specifically:
wherein K is 1 、K 2 、K 3 、K 4 For the adjustment coefficient, Δu is the voltage difference between the bus voltage of the distribution network and the connection point of the energy storage system, Δf is the second difference, S is the power value transmitted between the distribution network and the new energy power generation system connected thereto, P is the active power value transmitted between the distribution network and the new energy power generation system connected thereto, Q is the reactive power value transmitted between the distribution network and the new energy power generation system connected thereto, R is the real part of the output impedance of the new energy power generation system, X is the imaginary part of the output impedance of the new energy power generation system, U s The bus voltage value of the power distribution network.
The new energy power generation system can be a photovoltaic power generation system or a wind power generation system, and also can be a comprehensive new energy power generation system comprising the photovoltaic power generation system and the wind power generation system.
Referring to fig. 3, the power deviation calculating module shown in fig. 3 (i.e., the second deviation calculating module in the peak shaving device of the power system with optimized configuration of the subsequent energy storage capacity) is used to calculate the power deviation value of the output power of the energy storage system, and correspondingly adjust the output power of the energy storage system according to the deviation calculating result, so as to realize the adjustment of the peak and valley of the power distribution network at the load side when the new energy power generation system is affected by the environment and the power generation power fluctuates.
Further, the adjustment coefficient K 1 、K 2 、K 3 、K 4 The calculation formulas of (a) are respectively as follows:
K 2 ＝δK 1 ；
K 3 ＝(1-δ)K 4 ；
wherein P is ref For rated active reference power, Q ref Is rated as reactive power parameterPower of examination, U ref As the bus voltage value of the distribution network at the connection point, SCR is the effective short-circuit ratio of the access system, f ref And delta is a weighting coefficient for the busbar frequency value of the power distribution network and is adjusted according to the type of the energy storage system.
Further, after adjusting the output power of the energy storage system through droop control in step S400, the method further includes:
step S510, obtaining a residual electric quantity value of the energy storage system.
Step S520, when the remaining electric power value of the energy storage system is greater than or equal to the first preset proportional value, controlling the output electric current value of the energy storage system based on the output power corresponding to the power deviation value.
In step S530, when the remaining electric power value of the energy storage system is smaller than the first preset proportional value and greater than or equal to the second preset proportional value, the output electric current value of the energy storage system is controlled according to the preset control strategy.
Step S540, stopping the output current of the energy storage system when the residual electric quantity value of the energy storage system is smaller than the second preset proportional value.
In the process of limiting the energy storage system, the first preset proportion value is 45%, and the second preset proportion value is 35%.
In addition, the energy storage system outputs a current value I according to a preset control strategy bat* The calculation formula of (2) is as follows:
wherein I is 0 And controlling an output current value of the energy storage system for the output power corresponding to the power deviation value, wherein the SOC is a residual electric quantity value of the energy storage system.
After the output power deviation value of the energy storage system is calculated, the residual electric quantity of the energy storage system is further detected in order to protect the energy storage system. When the residual electric quantity of the energy storage system exceeds 45%, correspondingly adjusting the output current of the output power according to the output power deviation value; when the residual electric quantity is in the interval of 35% -45%, controlling the output current according to an output current calculation method in a preset control strategy; when the residual electric quantity of the energy storage system is less than 35%, in order to protect the energy storage system, the peak-valley adjusting function of the energy storage system on the power distribution network is stopped, and the output current value is zero. The specific control logic is as follows:
accordingly, referring to fig. 4, a second aspect of the present invention provides an energy storage capacity optimizing configuration power system peak shaving device, which includes:
the connection point detection module 1 is used for acquiring a detection voltage value and a detection frequency value of a connection point of the energy storage system and the power distribution network;
the first difference calculating module 2 is used for respectively calculating a first difference value between the detection voltage value of the connection point and the bus voltage value of the power distribution network and a second difference value between the detection frequency value and the bus frequency value of the power distribution network;
a second difference calculating module 3, configured to calculate a power deviation value output by the energy storage system based on the first difference and the second difference;
and the output power control module 4 is used for adjusting the output power of the energy storage system through droop control based on the power deviation value to realize peak shaving of the power distribution network.
Further, the calculation formula of the power deviation value Δp output by the energy storage system is as follows:
S＝P+jQ；
Z＝R+jX；
wherein K is 1 、K 2 、K 3 、K 4 For the adjustment coefficient, Δu is the voltage difference between the bus voltage of the distribution network and the connection point of the energy storage system, Δf is the second difference, S is the power value transmitted between the distribution network and the new energy power generation system connected thereto, P is the active power value transmitted between the distribution network and the new energy power generation system connected thereto, Q is the reactive power value transmitted between the distribution network and the new energy power generation system connected thereto, R is the real part of the output impedance of the new energy power generation system, X is the imaginary part of the output impedance of the new energy power generation system, U s The bus voltage value of the power distribution network.
Further, the adjustment coefficient K 1 、K 2 、K 3 、K 4 The calculation formulas of (a) are respectively as follows:
K 2 ＝δK 1 ；
K 3 ＝(1-δ)K 4 ；
wherein P is ref For rated active reference power, Q ref For rated reactive reference power, U ref As the bus voltage value of the distribution network at the connection point, SCR is the effective short-circuit ratio of the access system, f ref And delta is a weighting coefficient for the busbar frequency value of the power distribution network and is adjusted according to the type of the energy storage system.
Further, referring to fig. 5, the peak shaving device of the power system with optimized configuration of energy storage capacity further includes: the clipping control module 5, the clipping control module 5 further includes:
an electric quantity detecting unit 51 for acquiring a remaining electric quantity value of the energy storage system;
a first output control unit 52 for controlling an output current value of the energy storage system based on the output power corresponding to the power deviation value when the remaining electric power value of the energy storage system is greater than or equal to a first preset proportional value;
a second output control unit 53 for controlling an output current value of the energy storage system according to a preset control strategy when a remaining current value of the energy storage system is smaller than a first preset proportional value and greater than or equal to a second preset proportional value;
and a third output control unit 54 for stopping the energy storage system from outputting current when the remaining electric power value of the energy storage system is smaller than the second preset proportional value.
Further, the first preset proportion value is 45%, and the second preset proportion value is 35%; the energy storage system outputs a current value I according to a preset control strategy bat* The calculation formula of (2) is as follows:
wherein I is 0 And controlling an output current value of the energy storage system for the output power corresponding to the power deviation value, wherein the SOC is a residual electric quantity value of the energy storage system.
Accordingly, a third aspect of the embodiment of the present invention provides an electronic device, including: at least one processor; and a memory coupled to the at least one processor; the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor, so that the at least one processor executes the power system peak shaving method of the energy storage capacity optimization configuration.
Accordingly, a fourth aspect of the embodiments of the present invention provides a computer-readable storage medium having stored thereon computer instructions that, when executed by a processor, implement a power system peaking method for energy storage capacity optimization configurations described above.
The embodiment of the invention aims to protect a power system peak shaving method and device for energy storage capacity optimal configuration, wherein the method comprises the following steps: acquiring a detection voltage value and a detection frequency value of a connection point of the energy storage system and the power distribution network; respectively calculating a first difference value between the detection voltage value of the connection point and the bus voltage value of the power distribution network and a second difference value between the detection frequency value and the bus frequency value of the power distribution network; calculating a power deviation value output by the energy storage system based on the first difference value and the second difference value; and adjusting the output power of the energy storage system through droop control based on the power deviation value to realize peak shaving of the power distribution network. The technical scheme has the following effects:
the power of the energy storage system is controlled from the two angles of the frequency and the PCC point voltage, so that the rapid response to the peak shaving requirement of the whole system can be realized, the power stabilization and the power balance of a local power supply can be realized, meanwhile, the running state of the energy storage system is considered, the peak shaving capacity of the energy storage system is limited, and the running of the energy storage system is protected.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical aspects of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the above embodiments, it should be understood by those of ordinary skill in the art that: modifications and equivalents may be made to the specific embodiments of the invention without departing from the spirit and scope of the invention, which is intended to be covered by the claims.
Claims (10)
1. The power system peak shaving method for energy storage capacity optimal configuration is characterized by comprising the following steps of:
acquiring a detection voltage value and a detection frequency value of a connection point of the energy storage system and the power distribution network;
respectively calculating a first difference value between the detection voltage value of the connection point and the bus voltage value of the power distribution network and a second difference value between the detection frequency value and the bus frequency value of the power distribution network;
calculating a power deviation value output by the energy storage system based on the first difference value and the second difference value;
and adjusting the output power of the energy storage system through droop control based on the power deviation value to realize peak shaving of the power distribution network.
2. The power system peak shaving method of energy storage capacity optimization configuration according to claim 1, wherein a calculation formula of a power deviation value Δp output by the energy storage system is:
S＝P+jQ；
Z＝R+jX；
wherein K is 1 、K 2 、K 3 、K 4 For the adjustment coefficient, Δu is a first difference value of the voltage between the bus voltage of the power distribution network and the connection point of the energy storage system, Δf is the second difference value, S is the power value transmitted between the power distribution network and the new energy power generation system connected with the power distribution network, P is the active power value transmitted between the power distribution network and the new energy power generation system connected with the power distribution network, Q is the reactive power value transmitted between the power distribution network and the new energy power generation system connected with the power distribution network, R is the real part of the line impedance between the new energy power generation system and the bus of the power distribution network, X is the imaginary part of the line impedance between the new energy power generation system and the bus of the power distribution network, and U s U is the bus voltage value of the power distribution network pcc And detecting a voltage value for a connection point of the energy storage system and the power distribution network.
3. The power system peak shaver method for energy storage capacity optimal configuration according to claim 2, wherein,
said adjustment coefficient K 1 、K 2 、K 3 、K 4 The calculation formulas of (a) are respectively as follows:
K 2 ＝δK 1 ；
K 3 ＝(1-δ)K 4 ；
wherein P is ref For rated active reference power, Q ref For rated reactive reference power, U ref For the voltage value of the bus of the distribution network at the connection point, SCR is the effective short-circuit ratio of the access system, f ref And delta is a weighting coefficient and is adjusted according to the type of the energy storage system.
4. The power system peak shaver method for energy storage capacity optimizing configuration according to claim 3, wherein after adjusting the output power of the energy storage system by droop control, further comprising:
acquiring a residual electric quantity value of the energy storage system;
when the residual electric quantity value of the energy storage system is larger than or equal to a first preset proportional value, controlling the output current value of the energy storage system based on the output power corresponding to the power deviation value;
when the residual electric quantity value of the energy storage system is smaller than the first preset proportion value and larger than or equal to the second preset proportion value, controlling the output current value of the energy storage system according to a preset control strategy;
and stopping outputting current of the energy storage system when the residual electric quantity value of the energy storage system is smaller than the second preset proportion value.
5. The power system peak shaver method for energy storage capacity optimal configuration according to claim 4, wherein,
the first preset proportion value is 45%;
the second preset proportion value is 35%; and/or
The energy storage system outputs a current value I according to the preset control strategy bat* The calculation formula of (2) is as follows:
wherein I is 0 And controlling the output current value of the energy storage system for the output power corresponding to the power deviation value, wherein the SOC is the residual electric quantity value of the energy storage system.
6. The utility model provides an energy storage capacity optimal configuration's electric power system peak shaver which characterized in that includes:
the connection point detection module is used for acquiring a detection voltage value and a detection frequency value of a connection point of the energy storage system and the power distribution network;
the first difference calculation module is used for calculating a first difference value between the detection voltage value of the connection point and the bus voltage value of the power distribution network and a second difference value between the detection frequency value and the bus frequency value of the power distribution network respectively;
a second difference calculation module for calculating a power deviation value output by the energy storage system based on the first difference and the second difference;
and the output power control module is used for adjusting the output power of the energy storage system through droop control based on the power deviation value so as to realize peak shaving of the power distribution network.
7. The energy storage capacity optimized configuration power system peak shaver according to claim 6, wherein,
the calculation formula of the power deviation value delta P output by the energy storage system is as follows:
S＝P+jQ；
Z＝R+jX；
wherein K is 1 、K 2 、K 3 、K 4 For the adjustment coefficient, Δu is the voltage difference between the bus voltage of the distribution network and the connection point of the energy storage system, Δf is the second difference, S is the power value transmitted between the distribution network and the new energy power generation system connected with the distribution network, P is the active power value transmitted between the distribution network and the new energy power generation system connected with the distribution network, Q is the reactive power value transmitted between the distribution network and the new energy power generation system connected with the distribution network, R is the real part of the output impedance of the new energy power generation system, X is the imaginary part of the output impedance of the new energy power generation system, U s U is the bus voltage value of the power distribution network pcc And detecting a voltage value for a connection point of the energy storage system and the power distribution network.
8. The energy storage capacity optimized configuration power system peak shaver according to claim 7, wherein,
said adjustment coefficient K 1 、K 2 、K 3 、K 4 The calculation formulas of (a) are respectively as follows:
K 2 ＝δK 1 ；
K 3 ＝(1-δ)K 4 ；
wherein P is ref For rated active reference power, Q ref For rated reactive reference power, U ref For the voltage value of the bus of the distribution network at the connection point, SCR is the effective short-circuit ratio of the access system, f ref And delta is a weighting coefficient and is adjusted according to the type of the energy storage system.
9. The energy storage capacity optimized configured power system peak shaver as set forth in claim 8, further comprising: a clipping control module, the clipping control module comprising:
the electric quantity detection unit is used for acquiring the residual electric quantity value of the energy storage system;
a first output control unit for controlling an output current value of the energy storage system based on an output power corresponding to the power deviation value when a remaining electric power value of the energy storage system is greater than or equal to a first preset proportional value;
the second output control unit is used for controlling the output current value of the energy storage system according to a preset control strategy when the residual electric quantity value of the energy storage system is smaller than the first preset proportion value and larger than or equal to a second preset proportion value;
and the third output control unit is used for stopping the output current of the energy storage system when the residual electric quantity value of the energy storage system is smaller than the second preset proportion value.
10. The energy storage capacity optimized configuration power system peak shaver according to claim 9, wherein,
the first preset proportion value is 45%;
the second preset proportion value is 35%; and/or
The energy storage system outputs a current value I according to the preset control strategy bat* The calculation formula of (2) is as follows:
wherein I is 0 And controlling the output current value of the energy storage system for the output power corresponding to the power deviation value, wherein the SOC is the residual electric quantity value of the energy storage system.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311385496.4A CN117424267B (en) | 2023-10-24 | 2023-10-24 | Power system peak shaving method and device for energy storage capacity optimal configuration |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311385496.4A CN117424267B (en) | 2023-10-24 | 2023-10-24 | Power system peak shaving method and device for energy storage capacity optimal configuration |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117424267A true CN117424267A (en) | 2024-01-19 |
| CN117424267B CN117424267B (en) | 2024-05-07 |
Family
ID=89527930
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311385496.4A Active CN117424267B (en) | 2023-10-24 | 2023-10-24 | Power system peak shaving method and device for energy storage capacity optimal configuration |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117424267B (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104795831A (en) * | 2015-05-12 | 2015-07-22 | 济南大学 | Charge/discharge control method and system based on variable droop control of battery energy storage system |
| US20160087475A1 (en) * | 2014-09-23 | 2016-03-24 | Lsis Co., Ltd. | Control device of energy storage system |
| CN114552600A (en) * | 2022-02-18 | 2022-05-27 | 中国电建集团青海省电力设计院有限公司 | Frequency adjusting method for photovoltaic grid-connected power generation participation system |
| CN115940178A (en) * | 2022-03-22 | 2023-04-07 | 中国电力科学研究院有限公司 | Energy storage control method and system for inhibiting temporary overvoltage of new energy unit |
| CN116388209A (en) * | 2023-03-30 | 2023-07-04 | 武汉理工大学 | Energy storage and new energy field station voltage control method and system based on shoal algorithm |
-
2023
- 2023-10-24 CN CN202311385496.4A patent/CN117424267B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160087475A1 (en) * | 2014-09-23 | 2016-03-24 | Lsis Co., Ltd. | Control device of energy storage system |
| CN104795831A (en) * | 2015-05-12 | 2015-07-22 | 济南大学 | Charge/discharge control method and system based on variable droop control of battery energy storage system |
| CN114552600A (en) * | 2022-02-18 | 2022-05-27 | 中国电建集团青海省电力设计院有限公司 | Frequency adjusting method for photovoltaic grid-connected power generation participation system |
| CN115940178A (en) * | 2022-03-22 | 2023-04-07 | 中国电力科学研究院有限公司 | Energy storage control method and system for inhibiting temporary overvoltage of new energy unit |
| CN116388209A (en) * | 2023-03-30 | 2023-07-04 | 武汉理工大学 | Energy storage and new energy field station voltage control method and system based on shoal algorithm |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117424267B (en) | 2024-05-07 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| EP2262076B1 (en) | Power stabilization system and method employing a rechargeable battery system | |
| CN107453410B (en) | Load disturbance double-fed fan participated wind-diesel micro-grid frequency modulation control method | |
| CN111864813A (en) | Wind/thermal power combined frequency control method based on virtual weight coefficient | |
| CN110970906B (en) | Method and system for coordinated control of reactive voltage of wind power plant | |
| CN107294116A (en) | A kind of multiple domain power system load control method for frequency | |
| US20150008743A1 (en) | Power Supply System | |
| CN108462212B (en) | Control method of new energy power system in multi-source multi-regulation-control-domain operation mode | |
| CN110212513B (en) | Flexible virtual capacitor control method for stabilizing voltage fluctuation of direct-current micro-grid bus | |
| CN110299712B (en) | Control method and system for subsynchronous oscillation of direct-drive fan | |
| Xiao et al. | Flat tie-line power scheduling control of grid-connected hybrid microgrids | |
| CN110970907B (en) | Method and system for coordinated control of reactive voltage of photovoltaic power station | |
| CN113991705B (en) | Wind power grid-connected system frequency modulation control method with energy storage wind power plant participating in primary frequency modulation control | |
| KR102264862B1 (en) | System and Method for Controlling Inertial of Energy Storage System | |
| CN108092309A (en) | A kind of virtual synchronous machine control device and method for adding in double-energy storage | |
| CN110611332A (en) | Offshore wind power system energy storage device and control method thereof | |
| CN117424267B (en) | Power system peak shaving method and device for energy storage capacity optimal configuration | |
| CN116937546A (en) | Wind storage grid connection considered power grid low-frequency oscillation suppression method and system | |
| CN112909998B (en) | Transient and steady state power uniform control method for diesel generator set-inverter parallel power supply system | |
| CN115833179A (en) | Low-frequency oscillation control method and system | |
| CN114268136A (en) | Fan stepping inertia control improvement method considering frequency response characteristic of synchronous machine | |
| CN114583731A (en) | Wind power comprehensive regulation and control strategy based on energy storage control of double lithium titanate batteries | |
| Nguyen et al. | Enhancing effectiveness of grid-connected photovoltaic systems by using hybrid energy storage systems | |
| Zgarni et al. | Design of optimal control of DFIG-based wind turbine system through linear quadratic regulator | |
| WO2023145069A1 (en) | Distributed-power-source control system | |
| CN115800296B (en) | Voltage frequency collaborative supporting method for open sea wind power through VSC-MTDC grid-connected system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |