CN108288861A - The method of wind farm group wind storage system addressing constant volume combined optimization - Google Patents
The method of wind farm group wind storage system addressing constant volume combined optimization Download PDFInfo
- Publication number
- CN108288861A CN108288861A CN201810101323.8A CN201810101323A CN108288861A CN 108288861 A CN108288861 A CN 108288861A CN 201810101323 A CN201810101323 A CN 201810101323A CN 108288861 A CN108288861 A CN 108288861A
- Authority
- CN
- China
- Prior art keywords
- wind
- power
- energy
- storage system
- capacity
- 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
- 238000000034 method Methods 0.000 title claims abstract description 23
- 238000005457 optimization Methods 0.000 title claims abstract description 20
- 230000005540 biological transmission Effects 0.000 claims abstract description 89
- 238000004146 energy storage Methods 0.000 claims abstract description 85
- 230000005611 electricity Effects 0.000 claims abstract description 66
- 230000008901 benefit Effects 0.000 claims abstract description 19
- 238000010276 construction Methods 0.000 claims abstract description 13
- 238000007620 mathematical function Methods 0.000 claims description 33
- 230000005684 electric field Effects 0.000 claims description 10
- 230000008859 change Effects 0.000 claims description 3
- 238000010248 power generation Methods 0.000 claims description 3
- 230000003068 static effect Effects 0.000 claims description 3
- 230000009466 transformation Effects 0.000 claims description 2
- 238000010586 diagram Methods 0.000 description 3
- 230000007812 deficiency Effects 0.000 description 2
- 238000004422 calculation algorithm Methods 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000007599 discharging Methods 0.000 description 1
- 230000008030 elimination Effects 0.000 description 1
- 238000003379 elimination reaction Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 230000013011 mating Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000004064 recycling Methods 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
Classifications
-
- H02J3/386—
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- 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
- H02J3/38—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]
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Human Resources & Organizations (AREA)
- Health & Medical Sciences (AREA)
- Physics & Mathematics (AREA)
- Power Engineering (AREA)
- Theoretical Computer Science (AREA)
- Marketing (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Game Theory and Decision Science (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Entrepreneurship & Innovation (AREA)
- Development Economics (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The present invention relates to a kind of methods of wind farm group wind storage system addressing constant volume combined optimization.This method considers the setting of Central Substations position, optimizes wind farm group Central Substations high and low pressure side transmission line capability and energy-storage system power configuration；Windage loss mistake is abandoned caused by considering grid power transmission income, Central Substations high and low pressure side power transmission engineering construction cost, energy storage power configuration cost and possible obstruction, structure can reflect that wind stores up the maximized Optimized model of association system social benefit, obtain Central Substations position, high and low pressure side transmission line capability and energy storage power configuration.Being implemented with for this method sends power transmission engineering outside conducive to wind farm group of making rational planning for, and makes full use of wind-resources, improves the social benefit of wind-powered electricity generation planning engineering.
Description
Technical field
The present invention relates to Electric Power Network Planning field, more particularly to a kind of wind farm group wind storage system addressing constant volume combined optimization
Method.
Background technology
China's wind resource far from load center, wind farm group many places in power grid end, wind-powered electricity generation can not on-site elimination, need
Mating long-distance transmission line is built, load center is delivered the power to.Wind power output power fluctuates big and energy density
It is low, it is sent out to optimize wind-powered electricity generation, rationally utilizes power transmission engineering, reduce line loss, each output of wind electric field first converges to Central Substations,
It is boosted and is sent out by Central Substations.The position of Central Substations directly affects each wind power plant and sends out line length to Central Substations
And Central Substations are to system access point wind farm group overhead power transmission line length, and then influence wind storage joint delivery system
Social benefit.In addition, in order to cope with the fluctuation of wind-powered electricity generation, wind is abandoned in reduction, and steady wind power output configures storage at Central Substations
Energy facility, energy-storage system can be when load can not dissolve extra wind-powered electricity generation, and the electricity that script should be abandoned to wind stores,
For load boom period when wind power output deficiency, energy-storage system discharges the electricity of storage.
In existing research or the position of fixed center substation, economically build wind storage combine send outside it is excellent
Change model or consider influence of the position of Central Substations to optimization high and low pressure side transmission line of electricity capacity, does not consider that energy storage is held
The influence of joint delivery system economy is stored up wind in amount configuration.For deficiency existing for the studies above, the present invention is to center power transformation
Station location, wind farm group Central Substations high and low pressure side transmission line capability and energy-storage system power configuration carry out combined optimization, take into account
While Central Substations position influences wind storage association system social benefit, it is also considered that wind is stored up in energy-storage system configuration to be joined
Close the influence for sending project benefit outside.
Invention content
The purpose of the present invention is to provide a kind of method of wind farm group wind storage system addressing constant volume combined optimization, this method
The addressing of combined optimization wind farm group wind storage association system Central Substations position, wind farm group Central Substations high and low pressure side are defeated
Capacitance and energy-storage system power configuration save the investment of wind farm group power transmission engineering, increase social benefit, efficiently use wind money
Source.
To achieve the above object, the technical scheme is that：A kind of wind farm group wind storage system addressing constant volume joint is excellent
The method of change, includes the following steps：
Step S1：Obtain each output of wind electric field time series of wind farm group；
Step S2：Consider grid power transmission income, high and low pressure side power transmission engineering construction cost, energy storage power configuration cost
And wind farm group caused by possible obstruction abandons windage loss mistake, structure can reflect that the center of wind storage association system social benefit becomes
Power station positions, transmission line capability and energy storage power configuration combined optimization model, and object function is that wind stores up association system social benefit
It maximizes；It is stated with mathematical function as follows：
Wherein, f indicates that wind farm group sends the annual social benefit of power transmission engineering outside；R(Pline,Ce) indicate that power transmission engineering is every
The transmission of electricity income in year；Cline(Pline) indicate power transmission engineering construction cost；L(PL1,PL2,…,PLn,Pline) indicate annual and abandon
Windage loss loses；CESS(Ce) indicate energy-storage system deployment cost；PL1Indicate that wind power plant 1 arrives the transmission line of electricity capacity of Central Substations；PL2
Indicate that wind power plant 2 arrives the transmission line of electricity capacity of Central Substations；PLnThe power transmission line appearances of a street of the expression wind power plant n to Central Substations
Amount；PlineTransmission line of electricity capacity of the expression wind farm group Central Substations high-pressure side to electric system access point；CeIndicate energy storage most
Big charge-discharge electric power；
Step S3：It solves wind storage association system and sends Optimized model outside, obtain position, the wind power plant to center of Central Substations
The optimal outlets capacity of substation, the optimal transmission line capability of Central Substations to electric system, energy storage power optimized allocation plan.
In an embodiment of the present invention, in the step S2, grid power transmission income is to store up association system according to wind to send every year
The electricity gone out is calculated, and is stated with mathematical function as follows：
R(Pline,Ce)=Kr(Gwind+Gfound)
Wherein, KrIndicate the charge of transmission of electricity enterprise conveying unit wind-powered electricity generation electricity；GwindExpression is not counted and energy-storage system transmission of electricity work
The wind-power electricity generation electricity that journey is sent out every year；GfoundIndicate the electricity for making power transmission engineering increase submitting every year due to configuration energy-storage system
Amount；
GwindAnd Gfound, stated with mathematical function as follows：
Wherein, tlineIndicate that wind farm group output power is higher than the continuous output time for sending transmission-line capacity outside；T indicates wind
Electric field group total continuous output time；teWhen being higher than the continuous output of the sum of outlets capacity and energy storage power for wind farm group output
Between；P (t) is that wind power plant i sends power outside in t moment.
In an embodiment of the present invention, in the step S2, high and low pressure side power transmission engineering construction cost and energy storage power are matched
Be set to is calculated using the years value method such as expense, wherein high and low pressure side power transmission engineering construction cost is stated with mathematical function
It is as follows：
Wherein, Kc1Indicate low-pressure side unit capacity, the power transmission engineering cost of unit length；KchIndicate that high-pressure side unit is held
Amount, the power transmission engineering cost of unit length；PLiTransmission line of electricity capacity of the expression wind power plant i to Central Substations；LiIndicate wind-powered electricity generation
Transmission line lengths of the field i to Central Substations；N indicates there be n wind power plant in wind farm group；L indicates that wind farm group center becomes
Power station is to system access point transmission line length；TsIndicate Transmission Investment static return period；R indicates discount rate；
Energy-storage system deployment cost is stated as follows with mathematical function：
Wherein, C1Indicate energy-storage system power price；CeIndicate the power of energy-storage system configuration；TcIndicate week in energy storage service life
Phase.
In an embodiment of the present invention, in the step S2, it is every according to wind storage association system that wind farm group, which abandons windage loss mistake,
The wind-powered electricity generation amount of abandoning in year is calculated, and is stated with mathematical function as follows：
Wherein, KlTo abandon the unit price of windage loss mistake, calculated by wind-powered electricity generation power generation unit price；GlostiFor wind power plant i to Central Substations
Transmission line of electricity capacity limit and caused by abandon wind-powered electricity generation amount year, GlostaIndicate Central Substations high-pressure side to electric system access point
Transmission line of electricity capacity limit caused by abandon windage loss mistake；
GlostiAnd Glost, stated with mathematical function as follows：
Wherein, tLiIt contributes for wind power plant i and is higher than transmission line of electricity capacity PLiThe continuous output time；Pi(t) it is that wind power plant i exists
T moment sends wind power output outside.
In an embodiment of the present invention, in the step S2, the constraints that object function includes has：Each wind power plant is sent outside
Capacity of trunk constraint, the constraint of energy-storage system charge-discharge electric power, energy-storage system state-of-charge are sent in capacity of trunk constraint, wind farm group outside
Constraints of Equilibrium, energy storage system capacity constraint and the constraint of energy-storage system energy balance；Wherein,
(a) wind power plant sends capacity of trunk constraint outside, wind farm group sends capacity of trunk constraint outside, such as with mathematical function statement
Under：
0≤P(t)≤Pline
0≤Pi(t)≤PLi
(b) energy-storage system charge-discharge electric power constrains, and is stated with mathematical function as follows：
|Pe(t)|≤Ce
(c) energy-storage system state-of-charge Constraints of Equilibrium is stated as follows with mathematical function：
SOC (t)=SOC (t-1)+Pe(t)
Wherein, state-of-charge of SOC (t) the expression energy-storage systems in t moment；
(d) energy storage system capacity constrains, and is stated with mathematical function as follows：
SOC (t) ＜ SOCmax
Wherein, SOCmaxIndicate the maximum state-of-charge that energy-storage system allows；
(e) energy-storage system energy balance constrains, and is stated with mathematical function as follows：
Compared to the prior art, the invention has the advantages that：The method of the present invention consider grid power transmission income,
Windage loss is abandoned caused by Central Substations high and low pressure side power transmission engineering construction cost, energy storage power configuration cost and possible obstruction
It loses, structure can reflect that wind stores up the maximized Optimized model of association system social benefit, obtain Central Substations position, high-low pressure
Side transmission line capability and energy storage power configuration；Being implemented with for this method sends power transmission engineering outside conducive to wind farm group of making rational planning for, fully
Using wind-resources, the social benefit of wind-powered electricity generation planning engineering is improved.
Description of the drawings
Fig. 1 is wind power plant cluster access system schematic diagram；After each output of wind electric field converges to Central Substations, become by center
Power station boosting is sent out, and the position of Central Substations is sent outside each wind power plant is influenced to the distance and Central Substations of Central Substations
Transmission distance, i.e. L1, L2, L3And L, optimized variable are transmission line capability P of each wind power plant to Central SubstationsL1、PL2、PL3, center
Substation sends transmission line capability P outsideline, energy-storage system power configuration CeAnd the position (x, y) of Central Substations.
Fig. 2 is that any two points distance calculates schematic diagram on the earth.
Fig. 3 is each output of wind electric field time series of wind farm group.
Specific implementation mode
Technical scheme of the present invention is specifically described in 1-3 below in conjunction with the accompanying drawings.
As shown in Figure 1, a kind of method of wind farm group wind storage system addressing constant volume combined optimization of the present invention, including it is as follows
Step：
Step S1：Obtain each output of wind electric field time series of wind farm group；
Step S2：Consider grid power transmission income, high and low pressure side power transmission engineering construction cost, energy storage power configuration cost
And wind farm group caused by possible obstruction abandons windage loss mistake, structure can reflect that the center of wind storage association system social benefit becomes
Power station positions, transmission line capability and energy storage power configuration combined optimization model, and object function is that wind stores up association system social benefit
It maximizes；It is stated with mathematical function as follows：
Wherein, f indicates that wind farm group sends the annual social benefit of power transmission engineering outside；R(Pline,Ce) indicate that power transmission engineering is every
The transmission of electricity income in year；Cline(Pline) indicate power transmission engineering construction cost；L(PL1,PL2,…,PLn,Pline) indicate annual and abandon
Windage loss loses；CESS(Ce) indicate energy-storage system deployment cost；PL1Indicate that wind power plant 1 arrives the transmission line of electricity capacity of Central Substations；PL2
Indicate that wind power plant 2 arrives the transmission line of electricity capacity of Central Substations；PLnThe power transmission line appearances of a street of the expression wind power plant n to Central Substations
Amount；PlineTransmission line of electricity capacity of the expression wind farm group Central Substations high-pressure side to electric system access point；CeIndicate energy storage most
Big charge-discharge electric power；
Step S3：It solves wind storage association system and sends Optimized model outside, obtain position, the wind power plant to center of Central Substations
The optimal outlets capacity of substation, the optimal transmission line capability of Central Substations to electric system, energy storage power optimized allocation plan.
Further, the step S2 specifically includes following steps：
Step S21：The electricity that association system is sent out every year, which is stored up, according to wind calculates annual transmission of electricity income.Use mathematical table
It states as follows：
R(Pline,Ce)=Kr(Gwind+Gfound)
Wherein, KrIndicate the charge of transmission of electricity enterprise conveying unit wind-powered electricity generation electricity；GwindExpression is not counted and energy-storage system transmission of electricity work
The wind-power electricity generation electricity that journey is sent out every year；GfoundIndicate the electricity for making power transmission engineering increase submitting every year due to configuration energy-storage system
Amount.
GwindAnd Gfound, stated with mathematical function as follows：
Wherein, tlineIndicate that wind farm group output power is higher than the continuous output time for sending transmission-line capacity outside；T indicates wind
Electric field group total continuous output time；teWhen being higher than the continuous output of the sum of outlets capacity and energy storage power for wind farm group output
Between；P (t) is that wind power plant i sends power outside in t moment.
Step S22：Power transmission engineering construction cost is calculated according to method is worth the years such as expense, is stated with mathematical function as follows：
Wherein, Kc1Indicate low-pressure side unit capacity, the power transmission engineering cost of unit length, member/(kWh)；KchIndicate high
Press side unit capacity, the power transmission engineering cost of unit length, member/(kWh)；PLiIndicate wind power plant i to the defeated of Central Substations
Electric line capacity；LiTransmission line lengths of the expression wind power plant i to Central Substations；N indicates there be n wind-powered electricity generation in wind farm group
；L indicates wind farm group Central Substations to system access point transmission line length；TsIndicate Transmission Investment static state recycling week
Phase；R indicates discount rate.
Step S23：The annual wind-powered electricity generation amount calculating of abandoning of association system, which is stored up, according to wind abandons windage loss mistake.Such as with mathematical function statement
Under：
Wherein, KlTo abandon the unit price (being calculated by wind-powered electricity generation power generation unit price) of windage loss mistake；GlostiFor wind power plant i to Central Substations
Transmission line of electricity capacity limit and caused by abandon wind-powered electricity generation amount year, GlostaIndicate Central Substations high-pressure side to electric system access point
Transmission line of electricity capacity limit caused by abandon windage loss mistake.
GlostiAnd Glost, stated with mathematical function as follows：
Wherein, tLiIt contributes for wind power plant i and is higher than outlets capacity PLiThe continuous output time；Pi(t) be wind power plant i in t
That carves sends wind power output outside.
Step S24：Energy-storage system deployment cost is calculated according to method is worth the years such as expense, is stated with mathematical function as follows：
Wherein, C1Indicate energy-storage system power price；CeIndicate the power of energy-storage system configuration；TcIndicate week in energy storage service life
Phase.
Further, the constraints that the step S2 includes has：Each wind power plant sends capacity of trunk constraint, wind farm group outside
Send capacity of trunk constraint, the constraint of energy-storage system charge-discharge electric power, energy-storage system state-of-charge Constraints of Equilibrium, energy storage system capacity outside
Constraint and the constraint of energy-storage system energy balance；
(a) capacity of trunk constrains.It is stated with mathematical function as follows：
0≤P(t)≤Pline
0≤Pi(t)≤PLi
(b) no more than the constraint of specified charge-discharge electric power in energy-storage system operational process.It is stated with mathematical function as follows：
|Pe(t)|≤Ce
(c) energy-storage system state-of-charge Constraints of Equilibrium.It is stated with mathematical function as follows：
SOC (t)=SOC (t-1)+Pe(t)
Wherein, state-of-charge of SOC (t) the expression energy-storage systems in t moment.
(d) energy storage system capacity constrains.It is stated with mathematical function as follows：
SOC (t) ＜ SOCmax
Wherein, SOCmaxIndicate the maximum state-of-charge that energy-storage system allows.
(e) it is that energy-storage system is enable to recycle, meets the conservation of energy, i.e. energy storage in for 24 hours in a charging-discharging cycle
System capacity Constraints of Equilibrium.It is stated with mathematical function as follows：
It is specific embodiments of the present invention below.
A kind of method of wind farm group wind storage system addressing constant volume combined optimization is present embodiments provided, is specifically included following
Step：
Step S1：Obtain each output of wind electric field time series of wind farm group and relevant parameter；Each wind power plant of wind farm group goes out
Power time series is as shown in figure 3, design parameter is as follows：Wind farm group total installation of generating capacity is 891MW；Kr=0.06 yuan/(kW
h)；Kch=10000 yuan/(MWkm)；Kcl=4850 yuan/(MWkm)；Kl=0.6 yuan/(kWh)；R=0.06；Ts=20
Year；Energy-storage system power price C1=360 yuan/kW；Energy storage life cycle Tc=10 years；The longitude coordinate x of wind power plant 11=
119.374673°E；The latitude coordinate y of wind power plant 11=25.266761 ° of N this letters are north latitude；The longitude coordinate of wind power plant 2
x2=119.3008 ° of E；The latitude coordinate y of wind power plant 22=25.19453 ° of N；The longitude coordinate x of wind power plant 33=
119.176627°E；The latitude coordinate y of wind power plant 33=25.275585 ° of N；The longitude coordinate x of grid entry point∞=118.682514 °
E；The latitude coordinate y of grid entry point∞=25.367226 ° of N.
Fig. 2 is that any two points distance calculates schematic diagram on the earth, and wherein R is the radius of the earth, on the earth any two points away from
It is as follows from calculation formula：
By Δ OCD, obtain：
In conclusion：
Step S2：Establish the maximized Central Substations position addressing of wind storage association system social benefit, transmission line capability and
Energy storage power configuration combined optimization model.
Step S3：Utilize the position addressing of PSO Algorithm wind farm group wind storage association system Central Substations, transmission of electricity
Capacity and energy storage power configuration.It is calculated by taking each output of wind electric field curve of wind farm group as an example, a wind power is taken per 10min
Value, 1 outlets capacity P of optimization wind power plantL1=227MW, 2 outlets capacity P of wind power plantL2=230MW, 3 outlets capacity P of wind power plantL3
=263MW, wind farm group outlets capacity Pline=473MW, energy storage configure power Ce=237MW, Central Substations latitude and longitude coordinates
(119.1810 ° of E, 25.1838 ° of N), L1=22.5km, L2=13.7km, L3=4.4km, L=57.5km, comprehensive income f=
2.10 hundred million yuan, be maximum value.
The above are preferred embodiments of the present invention, all any changes made according to the technical solution of the present invention, and generated function is made
When with range without departing from technical solution of the present invention, all belong to the scope of protection of the present invention.
Claims (5)
1. a kind of method of wind farm group wind storage system addressing constant volume combined optimization, which is characterized in that include the following steps：
Step S1：Obtain each output of wind electric field time series of wind farm group；
Step S2：Consider grid power transmission income, high and low pressure side power transmission engineering construction cost, energy storage power configuration cost and
Wind farm group caused by possible obstruction abandons windage loss mistake, and structure can reflect the Central Substations of wind storage association system social benefit
Positioning, transmission line capability and energy storage power configuration combined optimization model, object function are that wind stores up association system social benefit maximum
Change；It is stated with mathematical function as follows：
Wherein, f indicates that wind farm group sends the annual social benefit of power transmission engineering outside；R(Pline,Ce) indicate that power transmission engineering is annual
Transmission of electricity income；Cline(Pline) indicate power transmission engineering construction cost；L(PL1,PL2,…,PLn,Pline) indicate annual and abandon windage loss
It loses；CESS(Ce) indicate energy-storage system deployment cost；PL1Indicate that wind power plant 1 arrives the transmission line of electricity capacity of Central Substations；PL2It indicates
Wind power plant 2 arrives the transmission line of electricity capacity of Central Substations；PLnTransmission line of electricity capacity of the expression wind power plant n to Central Substations；
PlineTransmission line of electricity capacity of the expression wind farm group Central Substations high-pressure side to electric system access point；CeIndicate that energy storage is maximum
Charge-discharge electric power；
Step S3：It solves wind storage association system and sends Optimized model outside, obtain position, the wind power plant to center power transformation of Central Substations
Optimal transmission line capability, the energy storage power optimized allocation plan of the optimal outlets capacity, Central Substations to electric system stood.
2. the method for wind farm group wind storage system addressing constant volume combined optimization according to claim 1, which is characterized in that institute
It states in step S2, grid power transmission income is to store up the electricity that association system is sent out every year according to wind to be calculated, and uses mathematical table
It states as follows：
R(Pline,Ce)=Kr(Gwind+Gfound)
Wherein, KrIndicate the charge of transmission of electricity enterprise conveying unit wind-powered electricity generation electricity；GwindExpression is not counted and energy-storage system power transmission engineering is every
The wind-power electricity generation electricity that year is sent out；GfoundIndicate the electricity for making power transmission engineering increase submitting every year due to configuration energy-storage system；
GwindAnd Gfound, stated with mathematical function as follows：
Wherein, tlineIndicate that wind farm group output power is higher than the continuous output time for sending transmission-line capacity outside；T indicates wind power plant
Group's total continuous output time；teIt contributes higher than the continuous output time of the sum of outlets capacity and energy storage power for wind farm group；P
(t) it is that wind power plant i sends power outside in t moment.
3. the method for wind farm group wind storage system addressing constant volume combined optimization according to claim 2, which is characterized in that institute
It states in step S2, high and low pressure side power transmission engineering construction cost and energy storage power configuration cost are calculated using the years value method such as expense
Go out, wherein high and low pressure side power transmission engineering construction cost is stated as follows with mathematical function：
Wherein, Kc1Indicate low-pressure side unit capacity, the power transmission engineering cost of unit length；KchIndicate high-pressure side unit capacity, list
The power transmission engineering cost of bit length；PLiTransmission line of electricity capacity of the expression wind power plant i to Central Substations；LiIndicate that wind power plant i is arrived
The transmission line length of Central Substations；N indicates there be n wind power plant in wind farm group；L indicates that wind farm group Central Substations arrive
System access point transmission line length；TsIndicate Transmission Investment static return period；R indicates discount rate；
Energy-storage system deployment cost is stated as follows with mathematical function：
Wherein, C1Indicate energy-storage system power price；CeIndicate the power of energy-storage system configuration；TcIndicate energy storage life cycle.
4. the method for wind farm group wind storage system addressing constant volume combined optimization according to claim 3, which is characterized in that institute
It states in step S2, it is to store up the annual wind-powered electricity generation amount of abandoning of association system according to wind to be calculated that wind farm group, which is abandoned windage loss and lost, with mathematics letter
Number is expressed as follows：
Wherein, KlTo abandon the unit price of windage loss mistake, calculated by wind-powered electricity generation power generation unit price；GlostiFor wind power plant i to the defeated of Central Substations
Electric line capacity limit and caused by abandon wind-powered electricity generation amount year, GlostaIndicate Central Substations high-pressure side to the defeated of electric system access point
Windage loss mistake is abandoned caused by electric line capacity limit；
GlostiAnd Glost, stated with mathematical function as follows：
Wherein, tLiIt contributes for wind power plant i and is higher than transmission line of electricity capacity PLiThe continuous output time；Pi(t) be wind power plant i in t
That carves sends wind power output outside.
5. the method for wind farm group wind storage system addressing constant volume combined optimization according to claim 4, which is characterized in that institute
It states in step S2, the constraints that object function includes has：Each wind power plant sends capacity of trunk constraint outside, wind farm group sends circuit outside
Capacity-constrained, the constraint of energy-storage system charge-discharge electric power, the constraint of energy-storage system state-of-charge Constraints of Equilibrium, energy storage system capacity and storage
It can system capacity Constraints of Equilibrium；Wherein,
(a) wind power plant sends capacity of trunk constraint outside, wind farm group sends capacity of trunk constraint outside, is stated with mathematical function as follows：
0≤P(t)≤Pline
0≤Pi(t)≤PLi
(b) energy-storage system charge-discharge electric power constrains, and is stated with mathematical function as follows：
|Pe(t)|≤Ce
(c) energy-storage system state-of-charge Constraints of Equilibrium is stated as follows with mathematical function：
SOC (t)=SOC (t-1)+Pe(t)
Wherein, state-of-charge of SOC (t) the expression energy-storage systems in t moment；
(d) energy storage system capacity constrains, and is stated with mathematical function as follows：
SOC (t) ＜ SOCmax
Wherein, SOCmaxIndicate the maximum state-of-charge that energy-storage system allows；
(e) energy-storage system energy balance constrains, and is stated with mathematical function as follows：
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810101323.8A CN108288861B (en) | 2018-02-01 | 2018-02-01 | Site selection and volume fixing combined optimization method for wind power plant group wind storage system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810101323.8A CN108288861B (en) | 2018-02-01 | 2018-02-01 | Site selection and volume fixing combined optimization method for wind power plant group wind storage system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108288861A true CN108288861A (en) | 2018-07-17 |
| CN108288861B CN108288861B (en) | 2021-04-27 |
Family
ID=62836322
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810101323.8A Expired - Fee Related CN108288861B (en) | 2018-02-01 | 2018-02-01 | Site selection and volume fixing combined optimization method for wind power plant group wind storage system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108288861B (en) |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109245179A (en) * | 2018-11-10 | 2019-01-18 | 东北电力大学 | A kind of wind-powered electricity generation-photo-thermal based on timesharing energy complement, which is combined, sends capacity optimization method outside |
| CN109256816A (en) * | 2018-09-11 | 2019-01-22 | 河海大学 | A kind of power transmission network short-term blockage management method of transmission & distribution collaboration |
| CN109274121A (en) * | 2018-11-15 | 2019-01-25 | 山东中车风电有限公司 | A kind of wind power plant Optimization about control parameter method and system |
| CN109449967A (en) * | 2018-09-20 | 2019-03-08 | 国网福建省电力有限公司 | Wind power plant group delivery site selection and volume fixing combined optimization method considering load randomness |
| CN109830990A (en) * | 2019-01-08 | 2019-05-31 | 南京工程学院 | A kind of energy storage Optimal Configuration Method based on Congestion access containing scene |
| CN110071505A (en) * | 2019-06-04 | 2019-07-30 | 清华大学 | The power transmission network enlarging of the access containing large-scale wind power configures joint planing method with energy storage |
| CN110135662A (en) * | 2019-06-06 | 2019-08-16 | 杭州电子科技大学 | A kind of energy storage addressing constant volume Multipurpose Optimal Method for considering to reduce peak-valley difference |
| CN114050591A (en) * | 2021-11-09 | 2022-02-15 | 福州大学 | Method for optimizing voltage of offshore wind power plant booster station to realize loss reduction of power transmission project |
| CN116384049A (en) * | 2023-02-07 | 2023-07-04 | 国网甘肃省电力公司经济技术研究院 | Wind-solar power generation centralized outgoing channel capacity opportunity constraint optimization method |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101710703A (en) * | 2009-11-20 | 2010-05-19 | 东北电力大学 | Static optimization method of power gathering and output electric capacity of wind power station group |
| CN104283226A (en) * | 2014-10-13 | 2015-01-14 | 东北电力大学 | Photovoltaic power station group output power transmission capacity static optimization method based on stored energy |
| CN104751236A (en) * | 2014-12-29 | 2015-07-01 | 国家电网公司 | Transmission capacity and wind and fire bundling transmission optimization method of extra-high voltage channel |
| US20170117711A1 (en) * | 2015-10-23 | 2017-04-27 | Fujitsu Limited | Operating a solar power generating system |
| CN106786686A (en) * | 2017-01-22 | 2017-05-31 | 东北电力大学 | The wind storage system coordination control strategy that many wind power plants abandon wind is cut down using energy storage straight outside |
-
2018
- 2018-02-01 CN CN201810101323.8A patent/CN108288861B/en not_active Expired - Fee Related
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101710703A (en) * | 2009-11-20 | 2010-05-19 | 东北电力大学 | Static optimization method of power gathering and output electric capacity of wind power station group |
| CN104283226A (en) * | 2014-10-13 | 2015-01-14 | 东北电力大学 | Photovoltaic power station group output power transmission capacity static optimization method based on stored energy |
| CN104751236A (en) * | 2014-12-29 | 2015-07-01 | 国家电网公司 | Transmission capacity and wind and fire bundling transmission optimization method of extra-high voltage channel |
| US20170117711A1 (en) * | 2015-10-23 | 2017-04-27 | Fujitsu Limited | Operating a solar power generating system |
| CN106786686A (en) * | 2017-01-22 | 2017-05-31 | 东北电力大学 | The wind storage system coordination control strategy that many wind power plants abandon wind is cut down using energy storage straight outside |
Non-Patent Citations (3)
| Title |
|---|
| BUYING WEN等: "Wind-storage combined system optimization model considering correlation of wind speed", 《IEEE》 * |
| 杨玉龙等: "基于储能系统提高风电外送能力的经济性研究", 《储能科学与技术》 * |
| 穆永铮等: "汇集站和集群中心站分级协调的风场群接入系统优化规划", 《中国电机工程学报》 * |
Cited By (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109256816A (en) * | 2018-09-11 | 2019-01-22 | 河海大学 | A kind of power transmission network short-term blockage management method of transmission & distribution collaboration |
| CN109256816B (en) * | 2018-09-11 | 2021-09-07 | 河海大学 | Transmission network short-term blocking management method with transmission and distribution coordination |
| CN109449967A (en) * | 2018-09-20 | 2019-03-08 | 国网福建省电力有限公司 | Wind power plant group delivery site selection and volume fixing combined optimization method considering load randomness |
| CN109449967B (en) * | 2018-09-20 | 2022-05-13 | 国网福建省电力有限公司 | Wind power plant group delivery site selection and volume fixing combined optimization method considering load randomness |
| CN109245179A (en) * | 2018-11-10 | 2019-01-18 | 东北电力大学 | A kind of wind-powered electricity generation-photo-thermal based on timesharing energy complement, which is combined, sends capacity optimization method outside |
| CN109245179B (en) * | 2018-11-10 | 2021-12-21 | 东北电力大学 | Wind power-photo-thermal combined delivery capacity optimization method based on time-sharing energy complementation |
| CN109274121B (en) * | 2018-11-15 | 2021-03-23 | 山东中车风电有限公司 | Wind power plant control parameter optimization method and system |
| CN109274121A (en) * | 2018-11-15 | 2019-01-25 | 山东中车风电有限公司 | A kind of wind power plant Optimization about control parameter method and system |
| CN109830990A (en) * | 2019-01-08 | 2019-05-31 | 南京工程学院 | A kind of energy storage Optimal Configuration Method based on Congestion access containing scene |
| CN109830990B (en) * | 2019-01-08 | 2022-09-20 | 南京工程学院 | Energy storage optimization configuration method based on wind and light access contained in output resistor plug |
| CN110071505B (en) * | 2019-06-04 | 2020-09-11 | 清华大学 | Power transmission network extension and energy storage configuration combined planning method with large-scale wind power access |
| CN110071505A (en) * | 2019-06-04 | 2019-07-30 | 清华大学 | The power transmission network enlarging of the access containing large-scale wind power configures joint planing method with energy storage |
| CN110135662B (en) * | 2019-06-06 | 2021-04-20 | 杭州电子科技大学 | Energy storage site selection constant volume multi-objective optimization method considering reduction of peak-valley difference |
| CN110135662A (en) * | 2019-06-06 | 2019-08-16 | 杭州电子科技大学 | A kind of energy storage addressing constant volume Multipurpose Optimal Method for considering to reduce peak-valley difference |
| CN114050591A (en) * | 2021-11-09 | 2022-02-15 | 福州大学 | Method for optimizing voltage of offshore wind power plant booster station to realize loss reduction of power transmission project |
| CN114050591B (en) * | 2021-11-09 | 2024-01-30 | 福州大学 | Method for reducing loss of power transmission engineering by optimizing voltage of offshore wind farm booster station |
| CN116384049A (en) * | 2023-02-07 | 2023-07-04 | 国网甘肃省电力公司经济技术研究院 | Wind-solar power generation centralized outgoing channel capacity opportunity constraint optimization method |
| CN116384049B (en) * | 2023-02-07 | 2023-09-19 | 国网甘肃省电力公司经济技术研究院 | Wind-solar power generation centralized outgoing channel capacity opportunity constraint optimization method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108288861B (en) | 2021-04-27 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108288861A (en) | The method of wind farm group wind storage system addressing constant volume combined optimization | |
| CN102751728B (en) | Energy management method for isolated network running mode in micro network based on load interruption model | |
| CN103248064B (en) | A kind of compound energy charging energy-storing system and method thereof | |
| CN108446796A (en) | Consider net-source-lotus coordinated planning method of electric automobile load demand response | |
| CN106655207A (en) | Power distribution network reactive power optimization system and method based on multi-data analysis | |
| CN107069814B (en) | The Fuzzy Chance Constrained Programming method and system that distribution distributed generation resource capacity is layouted | |
| CN109948849B (en) | Power distribution network frame planning method considering energy storage access | |
| CN108110795A (en) | Wind farm group sends transmission line capability and energy storage configuration combined optimization method outside | |
| CN102664423A (en) | Wind power station energy storage capacity control method based on particle swarm optimization | |
| CN107947192A (en) | A kind of optimal reactive power allocation method of droop control type isolated island micro-capacitance sensor | |
| CN108599206A (en) | The power distribution network hybrid energy-storing configuration method under power scenario is not known at high proportion | |
| CN111049171B (en) | Active power distribution network energy storage configuration method | |
| CN108206547A (en) | The method of wind hydrogen coupled electricity-generation system each unit capacity optimization | |
| CN104538988B (en) | Voltage stability regulating system for distributed power connection and control method thereof | |
| CN107769235A (en) | A kind of microgrid energy management method based on hybrid energy-storing and electric automobile | |
| CN104810861A (en) | Optimal locating and constant volume method for distributed power supply in low-voltage distribution network | |
| CN109492824A (en) | Consideration source-net-lotus multi-party interests distributing wind storage system optimization method | |
| Gundogdu et al. | Battery SOC management strategy for enhanced frequency response and day-ahead energy scheduling of BESS for energy arbitrage | |
| CN106505608A (en) | Meter and the distributed power source calculation of penetration level method of capacity of short circuit constraint | |
| CN110021940A (en) | A kind of capacitor placement optimization method based on improvement particle swarm algorithm | |
| CN107732937B (en) | Peak clipping and valley filling method for grid-connected micro-grid containing wind-light-storage-electric automobile | |
| Ma et al. | Optimal configuration of 5G base station energy storage considering sleep mechanism | |
| CN104868468A (en) | UPFC optimization configuration method based on life cycle cost | |
| CN105071397A (en) | Coordinated reactive voltage control method of different reactive compensation devices of wind power delivery | |
| CN105262143A (en) | Photovoltaic source network control method based on optimal regional economy and 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 | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20210427 Termination date: 20220201 |
|
| CF01 | Termination of patent right due to non-payment of annual fee |