CN113364017A - Coordinated digestion wind power regulation strategy for VMD thermal power generating unit and battery energy storage system - Google Patents

Coordinated digestion wind power regulation strategy for VMD thermal power generating unit and battery energy storage system Download PDF

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CN113364017A
CN113364017A CN202110626985.9A CN202110626985A CN113364017A CN 113364017 A CN113364017 A CN 113364017A CN 202110626985 A CN202110626985 A CN 202110626985A CN 113364017 A CN113364017 A CN 113364017A
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power
wind
energy storage
generating unit
thermal power
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CN113364017B (en
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王顺江
周桂平
金奕丞
刘闯
王艺博
戈阳阳
凌兆伟
王铎
张潇桐
句荣滨
寿增
赵军
李典阳
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State Grid Corp of China SGCC
State Grid Liaoning Electric Power Co Ltd
Electric Power Research Institute of State Grid Liaoning Electric Power Co Ltd
Northeast Electric Power University
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Northeast Dianli University
State Grid Liaoning Electric Power Co Ltd
Electric Power Research Institute of State Grid Liaoning Electric Power Co Ltd
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • 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
    • H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
    • H02J3/14—Circuit 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
    • H02J3/144—Demand-response operation of the power transmission or distribution network
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/381—Dispersed generators
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
    • H02J3/48—Controlling the sharing of the in-phase component
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • 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
    • H02J2207/00—Indexing scheme relating to details of circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H02J2207/50—Charging of capacitors, supercapacitors, ultra-capacitors or double layer capacitors
    • 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
    • H02J2300/28—The renewable source being wind energy
    • 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
    • H02J2300/40—Systems 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
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
    • Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
    • Y02B70/3225—Demand response systems, e.g. load shedding, peak shaving
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00—Energy generation through renewable energy sources
    • Y02E10/70—Wind energy
    • Y02E10/76—Power conversion electric or electronic aspects
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/10—Flexible AC transmission systems [FACTS]
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E70/00—Other energy conversion or management systems reducing GHG emissions
    • Y02E70/30—Systems combining energy storage with energy generation of non-fossil origin
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
    • Y04S20/20—End-user application control systems
    • Y04S20/222—Demand response systems, e.g. load shedding, peak shaving

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Abstract

The invention discloses a coordinated wind power consumption regulation strategy of a VMD thermal power unit and a battery energy storage system, which comprises the steps of firstly connecting wind power serving as an equivalent load into a system to obtain an equivalent load curve of the system, carrying out variation modal decomposition on the equivalent load curve to obtain a high-frequency component, a medium-frequency component and a low-frequency component, respectively adopting the thermal power unit, the battery energy storage system and a super capacitor to carry out control regulation, and finally carrying out optimization solution on the components by using MATLAB software.

Description

Coordinated digestion wind power regulation strategy for VMD thermal power generating unit and battery energy storage system
Technical Field
The invention belongs to the technical field of methods for improving wind power consumption capability, and particularly relates to a coordinated consumption wind power regulation strategy of a VMD thermal power generating unit and a battery energy storage system.
Background
With the continuous development of renewable energy technologies, the proportion of the renewable energy in a power grid is increasing, and Chinese new energy power generation analysis report 2020 issued by national grid energy research institute shows that the new installed capacity 5610 ten thousand kW of new energy power generation in China in 2019 accounts for 58% of the newly installed capacity in China, and the new installed capacity exceeds that of thermal power generation in three consecutive years. By the end of 2019, the accumulated installed capacity of new energy power generation in China reaches 4.1 hundred million kW, is increased by 16% compared with the same period, and accounts for 20.6% of the proportion of the total installed capacity in China. However, the renewable energy is generally uncertain, especially wind power with a large proportion, and the influence of weather conditions is extremely remarkable, which poses a great challenge to the safe and stable operation of the system. Therefore, a great deal of research is carried out on the method by a great number of experts and scholars in the aspect, for example, the hindered wind power is absorbed by source load coordination and high energy consumption load with adjustable characteristics, so that the utilization rate of the wind power is improved; or a battery energy storage system is additionally arranged in the wind power plant, and the positive and negative components in the wind power are stabilized by utilizing the charging and discharging processes of the battery energy storage system according to the ultra-short-term prediction result of the wind power. In the electric power system, the source, the grid, the load and the storage have characteristics, the physical characteristics and curves are complex, and the judgment basis for the coordination and coordination of the characteristics is the main research direction at present.
At present, after new energy is accessed into a power grid, most of the adjustment on equivalent load depends on single thermal power generating unit adjustment, the adjustment effect is limited, and although controllable flexible load is added to some areas to perform mixed adjustment on the equivalent load, the physical characteristics of the new energy are complex after the controllable flexible load is introduced, and the output characteristics of the new energy and the thermal power generating unit are different, so that the adjustment algorithm is complex and more unsatisfactory.
Disclosure of Invention
The invention aims to provide a coordinated wind power consumption regulation strategy of a VMD thermal power generating unit and a battery energy storage system, which can regulate load output, reduce the air curtailment and improve the wind power utilization rate.
The technical scheme adopted by the invention is that a wind power regulation strategy is coordinated and consumed by a VMD thermal power generating unit and a battery energy storage system, and the method is implemented according to the following steps:
step 1, predicting wind power generation power and a load curve of the next day in a power system to obtain an equivalent load curve, independently adjusting the equivalent load curve by using a thermal power unit, judging whether the equivalent load curve meets a system output interval, and predicting whether the power system generates abandoned wind;
step 2, decomposing the equivalent load by using variational modal decomposition to obtain components corresponding to different central frequencies, dividing the components into low-frequency components according to the difference of the central frequencies, and adjusting the three components by adopting an adjusting system, wherein the medium-frequency components and the high-frequency components are respectively adjusted by adopting an adjusting system;
step 3, establishing a target function by taking the minimum air loss of the system as a target and adjusting the constraint condition of the system;
and 4, solving the objective function through MATLAB to obtain the adjustment parameters of the three components by the adjustment system.
The specific process of the step 1 is as follows:
step 1.1, predicting the wind power generation power of a certain area to obtain the next-day wind power generation power PwindAnd power system load prediction data;
step 1.2, wind power data PwindThe wind power data P corresponding to the same time is regarded as the negative loadwindAdding the equivalent loads to the load prediction data of the power system to obtain equivalent loads corresponding to a plurality of time points, and drawing a change curve graph of each equivalent load along with time to obtain an equivalent load curve;
and 1.3, independently adjusting the equivalent load by utilizing a thermal power unit, judging whether an equivalent load curve independently adjusted for the equivalent load is between a minimum technical output value and a maximum technical output value of the system, if so, generating no wind abandon, otherwise, generating the wind abandon, and consuming the wind abandon by using a battery energy storage system.
In the step 2, the equivalent load curve is decomposed by using variational modal decomposition, the equivalent load is divided into a low-frequency part by VMD according to the central frequency of less than 0.04, a medium-frequency part is divided by the central frequency of 0.04-0.13, a high-frequency part is divided by the central frequency of more than 0.13, the low-frequency part is adjusted by using a thermal power unit, the medium-frequency part is adjusted by using an energy type battery energy storage system, and the high-frequency part is adjusted by using a super capacitor.
In step 3, the objective function is established by taking the minimum air loss of the system as a target:
Figure BDA0003101786150000031
wherein, WqIn order to totally abandon the air quantity of the system,
Figure BDA0003101786150000032
the predicted value of the wind power active output of the a-th wind power plant at the moment t is obtained,
Figure BDA0003101786150000033
the active output value of the b-th thermal power generating unit at the moment t,
Figure BDA0003101786150000034
the operating power at time t for the c-th battery energy storage pack,
Figure BDA0003101786150000035
an active power plan value for the d-th normal load at time t; nw denotes the number of wind farms, NGIndicating the number of thermal power generating units, NLIndicating the number of battery energy storage systems, NMRepresents the number of ordinary loads; sG_bAnd delta t is the time for adjusting the three components, wherein the delta t is a 0-1 start-stop variable of the thermal power generating unit.
The constraint conditions in the step 3 comprise battery energy storage regulation capacity constraint and battery maximum discharge constraint, power system operation power balance constraint, rotating standby constraint capable of balancing wind power waves, wind power constraint, active output variable constraint of the wind power plant in two adjacent time periods, and upper and lower limit constraint of thermal power unit output power.
The constraint of the battery energy storage regulation capacity is as follows:
Figure BDA0003101786150000036
Figure BDA0003101786150000037
represents the charging power of the battery energy storage system,
Figure BDA0003101786150000038
indicating battery energy storageDischarge power of the system, PbatIndicating the rated discharge power, S, of the energy storage systembat(t) represents the charging and discharging flag at time t, ηchFor the charging efficiency of the energy storage system, ηdisThe discharge efficiency of the energy storage system;
the maximum discharge constraint of the battery is:
Figure BDA0003101786150000041
in the formula, α represents the percentage of the maximum allowable depth of discharge, WbatRepresenting the capacity of the battery energy storage system, Δ T representing the time interval, PBESS(t) represents the power of the energy storage system at that moment.
The power system operation power balance constraint is as follows:
Figure BDA0003101786150000042
wherein N iswIs the number of wind farms, NGNumber of thermal power generating units, NBESS_kIs the number of battery energy storage systems, PmIs the value of the active power of the conventional load, Pt BESS_kIs the active power of each load k at time t; pt windThe active power output value of each wind power plant is obtained; pt GjThe active power output value of the thermal power generating unit j at the moment t is obtained;
Figure BDA0003101786150000043
and is a variable of 0-1 of the starting and stopping state of the thermal power generating unit j.
The rotational standby constraints are:
Figure BDA0003101786150000044
Figure BDA0003101786150000045
in the formula Pt GjThe active output value of the jth thermal power generating unit at the moment t is shown,
Figure BDA0003101786150000046
and
Figure BDA0003101786150000047
respectively is the upper limit and the lower limit of the output of the jth thermal power generating unit,
Figure BDA0003101786150000048
and is a variable of 0-1 of the starting and stopping state of the thermal power generating unit j.
The wind power constraint is as follows:
Figure BDA0003101786150000049
wherein
Figure BDA00031017861500000410
It is indicated that wind power is the actual output value at the time t,
Figure BDA00031017861500000411
the predicted value of the wind power at the time t is shown;
the active output variable quantity constraint of the wind power plant in two adjacent time periods is as follows:
Figure BDA0003101786150000051
wherein the content of the first and second substances,
Figure BDA0003101786150000052
it is indicated that wind power is the actual output value at the time t,
Figure BDA0003101786150000053
it is shown that the wind power at the time of t +1 is an actual output value, Rwind_downAnd Rwind_upRespectively active power output of wind-electric field in adjacent time intervalsA downward adjustment maximum and an upward adjustment maximum.
The thermal power unit output power upper and lower limit constraints are as follows:
Figure BDA0003101786150000054
wherein, Pt GjThe active power output of the jth thermal power generating unit at the moment t is referred to,
Figure BDA0003101786150000055
referring to start-stop variables of the jth thermal power generating unit at the moment t, wherein 1 represents the start state of the thermal power generating unit, and 0 represents the thermal power generating unit in the stop state; pt Gj_minAnd Pt Gj_maxAnd respectively representing the minimum value and the maximum value of the active power output of the jth thermal power generating unit.
In the step 4, the parameter adjustment of the three components by the adjustment system comprises: the power generation unit is used for adjusting the power generation power of the low-frequency part at different moments, the energy type battery energy storage system is used for adjusting the charging and discharging power of the medium-frequency part at different moments, and the super capacitor is used for adjusting the charging and discharging power of the high-frequency part at different moments.
The invention has the beneficial effects that:
according to the coordinated wind power consumption regulation strategy of the VMD thermal power unit and the battery energy storage system, the equivalent load curve is decomposed to obtain a plurality of components corresponding to different central frequencies, different regulation methods are used for regulating the characteristics of the different components, the battery energy storage system and the super capacitor are introduced for adding regulation, and the VMD decomposition result is used as a reference, so that under the background that the peak-valley difference and the volatility of the load curve are more severe after new energy is accessed into a power grid in a high proportion, a better result is obtained compared with a traditional thermal power unit single regulation method, the regulation strategy has a positive effect on the reduction of the wind power consumption, the wind power utilization rate is improved, and higher economic benefit and environmental benefit are obtained.
Drawings
FIG. 1 is a schematic diagram of the adjustment system of the present invention for adjusting three components separately;
FIG. 2 is a schematic diagram illustrating a load curve of a certain place and a certain day and a change of generated power of a wind power plant according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of an individual peak shaving result of the thermal power generating unit in the embodiment of the invention;
FIG. 4 is a graph illustrating the decomposition of the system equivalent load into three modes of fractional variation according to an embodiment of the present invention;
FIG. 5 is a graph of the generated power variation of the thermal power generating unit at different times of adjusting the low-frequency part in the embodiment of the invention;
FIG. 6 is a graph showing the variation of the charging and discharging power of the battery energy storage system at different times when the intermediate frequency part is adjusted according to the embodiment of the present invention;
FIG. 7 is a graph showing the charging and discharging power variation of the super capacitor at different times of the high frequency part according to the embodiment of the present invention;
fig. 8 is a charging and discharging power change curve diagram at different times based on the VMD thermal power generating unit, the battery energy storage, and the super capacitor coordination regulation in the embodiment of the present invention.
Detailed Description
The present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.
The load curve is used as an important means for describing the change of the system load numerical value, the output change of the source, the load and the storage in the system can be visually shown, the change characteristic of the output change can be analyzed, the system load is decomposed, and the thermal power unit, the controllable load and the central frequency corresponding to the adjustable curve of the battery energy storage system have the characteristics respectively, so that after the load curve is decomposed, the thermal power unit can select a proper mode to adjust the load curve according to different load components, so that not only can new energy be absorbed to a greater extent, but also the output of the traditional thermal power unit tends to be stable.
Therefore, through researching the characteristics of the traditional thermal power generating unit and the battery energy storage system, the wind power output is accessed into the system as a negative load and is regarded as an equivalent system load, and the equivalent system load is decomposed, so that the wind power output is adjusted by using different output characteristics according to different decomposition amounts.
According to the coordinated wind power consumption regulation strategy of the VMD thermal power generating unit and the battery energy storage system, high-energy-consumption load is regulated and controlled in the wind abandoning period, the minimum sum of the wind abandoning amount in the whole day of the next day is taken as an optimization target, then constraint conditions are introduced, and the regulation amount of each period of the load is obtained through optimization calculation, so that the wind power consumption is realized, and the coordination wind power consumption regulation strategy is implemented according to the following steps:
step 1, wind power generation power and a load curve of the next day in a predicted power system are obtained according to data in a power grid, an equivalent load curve is further obtained, the equivalent load curve is independently adjusted by a thermal power unit, whether the equivalent load curve meets a system output interval or not is judged, and whether a power system generates abandoned wind or not is predicted;
the specific process of the step 1 is as follows:
step 1.1, predicting the wind power generation power of a certain area to obtain the next-day wind power generation power PwindAnd power system load prediction data;
step 1.2, wind power data PwindThe wind power data P corresponding to the same time is regarded as the negative loadwindAdding the equivalent loads to the load prediction data of the power system to obtain equivalent loads corresponding to a plurality of time points, and drawing a change curve graph of each equivalent load along with time to obtain an equivalent load curve;
and 1.3, independently adjusting the equivalent load by utilizing a thermal power unit, judging whether an equivalent load curve independently adjusted for the equivalent load is between a minimum technical output value and a maximum technical output value of the system, if so, generating no wind abandon, otherwise, generating the wind abandon, and consuming the wind abandon by using a battery energy storage system.
Step 2, decomposing the equivalent load by using variational modal decomposition to obtain components corresponding to different central frequencies, dividing the components into low-frequency components according to the difference of the central frequencies, and adjusting the three components by adopting an adjusting system, wherein the medium-frequency components and the high-frequency components are respectively adjusted by adopting an adjusting system;
decomposing the equivalent load curve by using variational modal decomposition in the step 2, dividing the equivalent load into a low-frequency part by VMD according to the central frequency of less than 0.04, dividing the central frequency of 0.04-0.13 into an intermediate-frequency part, and dividing the central frequency of more than 0.13 into a high-frequency part; and a thermal power unit is used for adjusting the low-frequency part, an energy type battery energy storage system is used for adjusting the medium-frequency part, and a super capacitor is used for adjusting the high-frequency part, as shown in fig. 1.
Considering the influence of wind power output on peak regulation, wind power is taken as a negative load, and then the net load is as follows:
P′load＝Pm+PBESS-Pwind (1)
wherein P'loadIs the net load value, P, of the power systemBESSIs the output power, P, of the battery energy storage systemmIs the normal load power, PwindIs the wind power generation output. The method is characterized in that the peak-to-valley difference and the volatility of the net load are increased under the influence of the randomness and the volatility of wind power output, in order to ensure the safe operation of a power system, a wind abandon phenomenon may exist in certain time intervals, at the moment, a mode of scheduling a battery energy storage system can be adopted, when the net load value at a certain moment exceeds the adjustment range of a conventional unit, the peak regulation strategy is not enough to track the net load, and the wind abandon is needed to balance power generation and demand.
Step 3, establishing a target function by taking the minimum air loss of the system as a target and adjusting the constraint condition of the system;
in step 3, the objective function is established by taking the minimum air loss of the system as a target:
Figure BDA0003101786150000081
wherein, WqIn order to totally abandon the air quantity of the system,
Figure BDA0003101786150000082
the predicted value of the wind power active output of the a-th wind power plant at the moment t is obtained,
Figure BDA0003101786150000083
the active output value of the b-th thermal power generating unit at the moment t,
Figure BDA0003101786150000084
the operating power at time t for the c-th battery energy storage pack,
Figure BDA0003101786150000085
an active power plan value for the d-th normal load at time t; nw denotes the number of wind farms, NGIndicating the number of thermal power generating units, NLIndicating the number of battery energy storage systems, NMRepresents the number of ordinary loads; sG_bAnd delta t is the time for adjusting the three components, wherein the delta t is a 0-1 start-stop variable of the thermal power generating unit.
The constraint conditions in the step 3 comprise battery energy storage regulation capacity constraint and battery maximum discharge constraint, power system operation power balance constraint, rotating standby constraint capable of balancing wind power waves, wind power constraint, active output variable constraint of the wind power plant in two adjacent time periods, and upper and lower limit constraint of thermal power unit output power.
The constraint of the battery energy storage regulation capacity is as follows:
Figure BDA0003101786150000091
Figure BDA0003101786150000092
represents the charging power of the battery energy storage system,
Figure BDA0003101786150000093
representing the discharge power, P, of the battery energy storage systembatIndicating the rated discharge power, S, of the energy storage systembat(t) represents the charging and discharging flag at time t, ηchFor the charging efficiency of the energy storage system, ηdisThe discharge efficiency of the energy storage system;
the maximum depth of discharge also severely impacts the cycle life of the battery energy storage system, and therefore the maximum discharge constraint should also be considered:
Figure BDA0003101786150000094
in the formula, α represents the percentage of the maximum allowable depth of discharge, WbatRepresenting the capacity of the battery energy storage system, Δ T representing the time interval, PBESS(t) represents the power of the energy storage system at that moment. The system can be divided into energy type battery and power type battery according to the capacity and power, i.e. the energy type battery has larger capacity, but the charging and discharging power is not as good as the power type battery, and the power type battery is opposite to the power type battery.
For the constraints on the operation of the power system, the power balance constraint is considered first, and then the power balance constraint for the operation of the power system is as follows:
Figure BDA0003101786150000095
wherein N iswIs the number of wind farms, NGNumber of thermal power generating units, NBESS_kIs the number of battery energy storage systems, PmIs the value of the active power of the conventional load, Pt BESS_kIs the active power of each load k at time t; pt windThe active power output value of each wind power plant is obtained; pt GjThe active power output value of the thermal power generating unit j at the moment t is obtained;
Figure BDA0003101786150000101
and is a variable of 0-1 of the starting and stopping state of the thermal power generating unit j.
Because the error is necessarily existed in the day-ahead prediction of wind power, the influence of wind power fluctuation needs to be considered in the day-ahead optimization scheduling of the power system, and the power fluctuation condition of the wind power is balanced by reserving a part of reserve power of a thermal power generating unit; the rotational standby constraints are:
Figure BDA0003101786150000102
Figure BDA0003101786150000103
in the formula Pt GjThe active output value of the jth thermal power generating unit at the moment t is shown,
Figure BDA0003101786150000104
and
Figure BDA0003101786150000105
respectively is the upper limit and the lower limit of the output of the jth thermal power generating unit,
Figure BDA0003101786150000106
and is a variable of 0-1 of the starting and stopping state of the thermal power generating unit j.
The wind power constraint is as follows:
Figure BDA0003101786150000107
wherein
Figure BDA0003101786150000108
It is indicated that wind power is the actual output value at the time t,
Figure BDA0003101786150000109
the predicted value of the wind power at the time t is shown;
in addition, because of uncertainty of wind power plant output, active output variation of the wind power plants in two adjacent time periods needs to be limited, and the active output variation of the wind power plants in two adjacent time periods is constrained as follows:
Figure BDA00031017861500001010
wherein the content of the first and second substances,
Figure BDA00031017861500001011
it is indicated that wind power is the actual output value at the time t,
Figure BDA00031017861500001012
it is shown that the wind power at the time of t +1 is an actual output value, Rwind_downAnd Rwind_upRespectively a down-regulation maximum value and an up-regulation maximum value of the active power output of the wind power plant in adjacent time periods. The difference between the wind farm output of two adjacent time periods should be between the maximum upward and downward regulation rates of the wind farm output, and should not generate excessive fluctuation.
The thermal power unit output power upper and lower limit constraints are as follows:
Figure BDA00031017861500001013
wherein, Pt GjThe active power output of the jth thermal power generating unit at the moment t is referred to,
Figure BDA00031017861500001014
referring to start-stop variables of the jth thermal power generating unit at the moment t, wherein 1 represents the start state of the thermal power generating unit, and 0 represents the thermal power generating unit in the stop state; pt Gj_minAnd Pt Gj_maxAnd respectively representing the minimum value and the maximum value of the active power output of the jth thermal power generating unit.
And 4, solving the objective function through MATLAB to obtain the adjustment parameters of the three components by the adjustment system.
In the step 4, the parameter adjustment of the three components by the adjustment system comprises: the power generation unit is used for adjusting the power generation power of the low-frequency part at different moments, the energy type battery energy storage system is used for adjusting the charging and discharging power of the medium-frequency part at different moments, and the super capacitor is used for adjusting the charging and discharging power of the high-frequency part at different moments.
Examples
The load curve of a certain day and the output of the wind power plant are shown in fig. 2, and it can be known from fig. 2 that the trend of the original system load is relatively stable, and when the wind power is not connected to the system, although the wind power sometimes has relatively large fluctuation, the overall trend is still kept relatively stable; after the wind power is connected to the system, as shown by the curve in fig. 2, from time 0 to time 10, the load variation trend of the wind power is obviously changed compared with the original load variation trend, and the peak-to-valley difference between time 10 and time 15 is larger than that before the wind power is not connected to the system. When the thermal power unit is used for adjusting the output parameters of the thermal power unit shown in the table 1 for the equivalent load of the thermal power unit, the output parameters are adjusted by the thermal power unit:
TABLE 1
Figure BDA0003101786150000111
And (4) carrying out optimization planning solution on the CPLEX optimization solver in MATLAB. The maximum daily wind power consumption is established as an objective function, meanwhile, the constraint on the thermal power generating unit is brought in, the optimization result is solved, as shown in fig. 3, at the beginning, because the wind power equivalent load is large, the equivalent system load is smaller than the minimum output of the system, the wind abandon phenomenon occurs, when the equivalent load peak-valley difference is large between 10 and 15 moments, the equivalent load is adjusted only by the thermal power generating unit, the effect is not good, and the daily wind abandon amount is 14.481(p.u x h).
Based on the adjustment strategy that VMD thermal power generating unit and battery energy storage system coordinate: first, we perform a variation modal decomposition on the equivalent system load as shown in fig. 4, and as can be seen from fig. 4, this decomposition results in three decomposition modes, and the corresponding center frequencies (decomposition modes 1 to 3) are: 0.000297, 0.0386, 0.128, wherein mode 1 shows its variation trend, it is relatively smooth, it is selected to adjust by a traditional thermal power unit, and mode 2 and mode 3 show its fluctuation amount, and the corresponding center frequencies are different, it is absorbed by energy battery and power battery respectively. Wherein the battery energy storage system parameters are shown in table 2:
TABLE 2
Figure BDA0003101786150000121
The parameters of the thermal power generating unit in the system are consistent with the parameters in the table 1. The same constraint parameters are used for the thermal power generating unit, constraint conditions of the battery energy storage system are introduced, the maximum solar wind power consumption is established as an objective function, and the obtained results are shown in fig. 5, fig. 6 and fig. 7.
The daily air volume of the low-frequency part regulated by the thermal power generating unit is 3.184(p.u x h), the daily air volume of the medium-frequency part regulated by the energy type battery energy storage system is 5.627(p.u x h), the daily air volume of the high-frequency part regulated by the super capacitor is 0.4234(p.u x h), and the daily air volume of the final system is 9.2344(p.u x h). The results of the adjustment are shown in fig. 8.
According to fig. 8, it can be found that compared with the adjustment of a single thermal power generating unit, the daily air curtailment rate is significantly reduced, and at the initial time, the battery energy storage system is in a charging state, so that the equivalent load of the system can be effectively improved, the area of the equivalent load curve of the system under the minimum load value of the system is smaller, and the air curtailment rate of the system is smaller.
Through the mode, the coordinated wind power consumption regulation strategy of the VMD thermal power generating unit and the battery energy storage system respectively regulates components with different characteristics through the characteristics of the thermal power generating unit, the battery energy storage system and the super capacitor, and finally uses MATLAB software to carry out optimization solution on the components.

Claims (10)

  1. The method is characterized by comprising the following steps of:
    step 1, predicting wind power generation power and a load curve of the next day in a power system to obtain an equivalent load curve, independently adjusting the equivalent load curve by using a thermal power unit, judging whether the equivalent load curve meets a system output interval, and predicting whether the power system generates abandoned wind;
    step 2, decomposing the equivalent load by using variational modal decomposition to obtain components corresponding to different central frequencies, dividing the components into low-frequency components according to the difference of the central frequencies, and adjusting the three components by adopting an adjusting system, wherein the medium-frequency components and the high-frequency components are respectively adjusted by adopting an adjusting system;
    step 3, establishing a target function by taking the minimum air loss of the system as a target and adjusting the constraint condition of the system;
    and 4, solving the objective function through MATLAB to obtain the adjustment parameters of the three components by the adjustment system.
  2. 2. The VMD thermal power generating unit and battery energy storage system coordinated consumption wind power regulation strategy according to claim 1, wherein the step 1 comprises the following specific processes:
    step 1.1, predicting the wind power generation power of a certain area to obtain the next-day wind power generation power PwindAnd power system load prediction data;
    step 1.2, wind power data PwindThe wind power data P corresponding to the same time is regarded as the negative loadwindAdding the equivalent loads to the load prediction data of the power system to obtain equivalent loads corresponding to a plurality of time points, and drawing a change curve graph of each equivalent load along with time to obtain an equivalent load curve;
    and 1.3, independently adjusting the equivalent load by utilizing a thermal power unit, judging whether an equivalent load curve independently adjusted for the equivalent load is between a minimum technical output value and a maximum technical output value of the system, if so, generating no wind abandon, otherwise, generating the wind abandon, and consuming the wind abandon by using a battery energy storage system.
  3. 3. The VMD thermal power generating unit and battery energy storage system coordinated absorption wind power regulation strategy according to claim 1, wherein in step 2, a variational modal decomposition is used to decompose an equivalent load curve, the VMD divides the equivalent load into a low frequency part according to a central frequency lower than 0.04, the central frequency is divided into a medium frequency part between 0.04 and 0.13, the central frequency is higher than 0.13, the medium frequency part is divided into a high frequency part, the thermal power generating unit is used to regulate the low frequency part, the energy battery energy storage system is used to regulate the medium frequency part, and the super capacitor is used to regulate the high frequency part.
  4. 4. The VMD thermal power generating unit and battery energy storage system coordinated digestion wind power regulation strategy according to claim 1, wherein the establishing of the objective function with the minimum system air curtailment amount as the target in step 3 is as follows:
    Figure FDA0003101786140000021
    wherein, WqIn order to totally abandon the air quantity of the system,
    Figure FDA0003101786140000022
    the predicted value of the wind power active output of the a-th wind power plant at the moment t is obtained,
    Figure FDA0003101786140000023
    the active output value of the b-th thermal power generating unit at the moment t,
    Figure FDA0003101786140000024
    the operating power at time t for the c-th battery energy storage pack,
    Figure FDA0003101786140000025
    an active power plan value for the d-th normal load at time t; nw denotes the number of wind farms, NGIndicating the number of thermal power generating units, NLIndicating the number of battery energy storage systems, NMRepresents the number of ordinary loads; sG_bAnd delta t is the time for adjusting the three components, wherein the delta t is a 0-1 start-stop variable of the thermal power generating unit.
  5. 5. The VMD thermal power generating unit and battery energy storage system coordinated wind power regulation strategy according to claim 1, wherein the constraint conditions in step 3 comprise battery energy storage regulation capacity constraint, battery maximum discharge constraint, power system operation power balance constraint, rotating standby constraint capable of balancing wind power waves, wind power constraint, active output variation constraint of wind power plants in two adjacent time periods, and upper and lower limit constraint of thermal power generating unit output power.
  6. 6. The VMD thermal power generating unit and battery energy storage system coordinated digestion wind power regulation strategy according to claim 5, wherein the battery energy storage regulation capacity constraint is:
    Figure FDA0003101786140000031
    Figure FDA0003101786140000032
    represents the charging power of the battery energy storage system,
    Figure FDA0003101786140000033
    representing the discharge power, P, of the battery energy storage systembatIndicating the rated discharge power, S, of the energy storage systembat(t) represents the charging and discharging flag at time t, ηchFor the charging efficiency of the energy storage system, ηdisThe discharge efficiency of the energy storage system;
    the maximum discharge constraint of the battery is:
    Figure FDA0003101786140000034
    in the formula, α represents the percentage of the maximum allowable depth of discharge, WbatRepresenting the capacity of the battery energy storage system, Δ T representing the time interval, PBESS(t) represents the power of the energy storage system at that moment.
  7. 7. The VMD thermal power generating unit and battery energy storage system coordinated digestion wind power regulation strategy according to claim 5, wherein the power system operating power balance constraints are:
    Figure FDA0003101786140000035
    wherein N iswIs the number of wind farms, NGNumber of thermal power generating units, NBESS_kIs the number of battery energy storage systems, PmIs the value of the active power of the conventional load, Pt BESS_kIs the active power of each electro-fused magnesium load k at time t; pt windThe active power output value of each wind power plant is obtained; pt GjThe active power output value of the thermal power generating unit j at the moment t is obtained;
    Figure FDA0003101786140000036
    and is a variable of 0-1 of the starting and stopping state of the thermal power generating unit j.
  8. 8. The VMD thermal power generating unit and battery energy storage system coordinated absorption wind power regulation strategy of claim 5, wherein the rotational standby constraints are:
    Figure FDA0003101786140000037
    in the formula Pt GjThe active output value of the jth thermal power generating unit at the moment t is shown,
    Figure FDA0003101786140000041
    and
    Figure FDA00031017861400000411
    respectively is the upper limit and the lower limit of the output of the jth thermal power generating unit,
    Figure FDA0003101786140000042
    is a variable of 0-1 of the starting and stopping state of the thermal power generating unit j;
    the wind power constraint is as follows:
    Figure FDA0003101786140000043
    wherein
    Figure FDA0003101786140000044
    It is indicated that wind power is the actual output value at the time t,
    Figure FDA0003101786140000045
    the predicted value of the wind power at the time t is shown;
    the active output variable quantity constraint of the wind power plant in two adjacent time periods is as follows:
    Figure FDA0003101786140000046
    wherein the content of the first and second substances,
    Figure FDA0003101786140000047
    it is indicated that wind power is the actual output value at the time t,
    Figure FDA0003101786140000048
    it is shown that the wind power at the time of t +1 is an actual output value, Rwind_downAnd Rwind_upRespectively a down-regulation maximum value and an up-regulation maximum value of the active power output of the wind power plant in adjacent time periods.
  9. 9. The VMD thermal power generating unit and battery energy storage system coordinated digestion wind power regulation strategy according to claim 5, wherein the thermal power generating unit output power upper and lower limits are constrained as follows:
    Figure FDA0003101786140000049
    wherein, Pt GjThe active power output of the jth thermal power generating unit at the moment t is referred to,
    Figure FDA00031017861400000410
    referring to start-stop variables of the jth thermal power generating unit at the moment t, wherein 1 represents the start state of the thermal power generating unit, and 0 represents the thermal power generating unit in the stop state; pt Gj_minAnd Pt Gj_maxAnd respectively representing the minimum value and the maximum value of the active power output of the jth thermal power generating unit.
  10. 10. The VMD thermal power generating unit and battery energy storage system coordinated digestion wind power regulation strategy according to claim 1, wherein the regulation system in step 4 regulates parameters for three components including: the power generation unit is used for adjusting the power generation power of the low-frequency part at different moments, the energy type battery energy storage system is used for adjusting the charging and discharging power of the medium-frequency part at different moments, and the super capacitor is used for adjusting the charging and discharging power of the high-frequency part at different moments.
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