CN109599864A - Active power distribution network the safe and economic operation method - Google Patents
Active power distribution network the safe and economic operation method Download PDFInfo
- Publication number
- CN109599864A CN109599864A CN201811512638.8A CN201811512638A CN109599864A CN 109599864 A CN109599864 A CN 109599864A CN 201811512638 A CN201811512638 A CN 201811512638A CN 109599864 A CN109599864 A CN 109599864A
- Authority
- CN
- China
- Prior art keywords
- power
- electricity
- load
- distribution network
- peak
- 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.)
- Pending
Links
Classifications
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
-
- 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
- H02J3/008—Circuit arrangements for ac mains or ac distribution networks involving trading of energy or energy transmission rights
-
- 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
- H02J2310/00—The network for supplying or distributing electric power characterised by its spatial reach or by the load
- H02J2310/50—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads
- H02J2310/56—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads characterised by the condition upon which the selective controlling is based
- H02J2310/62—The condition being non-electrical, e.g. temperature
- H02J2310/64—The condition being economic, e.g. tariff based load management
-
- 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
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention discloses a kind of active power distribution network the safe and economic operation methods, the parameter including obtaining active power distribution network to be analyzed；Establish user side electrical load requirement response model, user side thermal load demands response model and active power distribution network safety economy scheduling model；Active power distribution network safety economy scheduling model is solved, to obtain final active power distribution network the safe and economic operation strategy.The present invention comprehensively considers thermic load, traditional electric load, user's property of participation and distributed generation resource uncertain factor, and science is reliable, and applicability is good.
Description
Technical field
Present invention relates particularly to a kind of active power distribution network the safe and economic operation methods.
Background technique
With the development and the improvement of people's living standards of economic technology, electric energy has become in people's production and life
Essential secondary energy sources bring endless convenience to people's production and life.
Final tache of the power distribution network as connection electric energy from production to user, the safe and economic operation are particularly important.Distribution
Net reconstruct only needs to change the state of interconnection switch or block switch in network, does not need to increase other investments to reach and subtracts
Few via net loss, the purpose for improving safety, economy and benefit of powering are the important means of power distribution network optimization operation.But with
The sustainable growth of user side load in the power distribution network of future city, peak load increase particularly evident, seriously affected power distribution network
The safety of operation, simple power distribution network reconfiguration have been unable to meet service requirement.In view of economic investment benefit and land used are tight
The problems such as opening, newly-built substation or feeder line are not the best means for solving peak load period power distribution network operation problem.Meanwhile user
The load of side is more and more diversified, is changed into the coupled system that polymorphic type load coexists by original traditional single electric load, especially
It is summer and winter, and cooling and heating load accounting is big, and demand elasticity is good, is good demand response resource.It therefore, is solution
Operational safety problem brought by the following power distribution network user side sustainable growth needs to introduce certain demand response strategy, guarantees
Power distribution network can be with the safe and economic operation after load growth.
Demand response is the important means interacted between power distribution network and user.Demand response based on electricity price refers to by setting
Determine peak valley ordinary telegram valence, guide user power utilization behavior, guarantee the safe operation of peak load moment power distribution network, but does not change total load
Amount.Consider that user side electric heating joint demand response further can carry out peak clipping using the good demand response characteristic of cooling and heating load
It is valley-fill, ensure electric power netting safe running.
For power distribution network Economic Dispatch Problem, existing scholar has carried out relevant research to this.It is asked for power distribution network reconfiguration
Topic has literature research distributed generation resource and electric car to access the dynamic restructuring problem of lower power distribution network, considers distributed generation resource
The influence of power output and electric car charge and discharge randomness to power distribution network reconfiguration.The research of power distribution network reconfiguration at present, which focuses mostly on, is examining
Consider distributed generation resource (DG) and electric car (EV) access aspect, influence of the analysis reconstruct to network loss, DG receiving ability etc. is more
From the angle in " source ", influence of the load side to power distribution network reconfiguration is not fully considered.There is demand of the document to smart grid
Response has carried out principle analysis and modeling is summarized；There is document to propose a kind of probabilistic demand response mould of consideration user participation
Type fully considers load fluctuation；There is influence of the literature research Peak-valley TOU power price to traditional electric load, and then considers dynamic
Power distribution network reconfiguration improves the economy of power distribution network operation.The above research one side user side only considers traditional electric load, does not have
Consider the thermic load with good demand response characteristic, relatively rough, all loads on the other hand are handled to load side
It is adjusted by price elastic coefficient matrix, has ignored part throttle characteristics and user's initiative.
Summary of the invention
The purpose of the present invention is to provide one kind to comprehensively consider thermic load, traditional electric load, user's property of participation and distribution
Power supply uncertain factor, and science is reliable, the good active power distribution network the safe and economic operation method of applicability.
This active power distribution network the safe and economic operation method provided by the invention, includes the following steps:
S1. the parameter of active power distribution network to be analyzed is obtained；
S2. user side electrical load requirement response model is established；
S3. user side thermal load demands response model is established；
S4. the model established according to step S2 and S3, establishes active power distribution network safety economy scheduling model；
S5. the active power distribution network safety economy scheduling model that solution procedure S4 is established, to obtain final active distribution
Net the safe and economic operation strategy.
User side workload demand response model is established described in step S2, specially establishes model using following steps:
A. power price coefficient of elasticity ε is calculated using following formula:
Δ Q is the knots modification of power demand in formula, and Q is power demand, and Δ P is the knots modification of electric power price, and P is electricity
Power price；
B. matrix is changed using the electricity that conventional electric load is calculated in following formula:
Q in formulaonFor the electricity consumption of peak period, Δ QonFor the electricity consumption knots modification of peak period, QmidFor the electricity consumption of usually section
Amount, Δ QmidFor the electricity consumption knots modification of usually section, QoffFor the electricity consumption of paddy period, Δ QoffChange for the electricity consumption of paddy period
Amount, PonFor the electricity price of peak period, Δ PonFor the electricity price knots modification of peak period, PmidFor the electricity price of usually section, Δ PmidFor usually section
Electricity price knots modification, PoffFor the electricity price of paddy period, Δ PoffFor the electricity price knots modification of paddy period, εijFor Demand Elasticity Coefficient, i=
1,2,3, j=1,2,3；
C. the load curve under the tou power price of peak Pinggu is calculated using following formula:
L in formula0It (t) is the load for implementing the t moment before time-of-use tariffs, L (t) is the t moment implemented after time-of-use tariffs
Load, TonFor the peak period of electricity consumption, TmidFor the usually section of electricity consumption, ToffFor the paddy period of electricity consumption, Δ TonFor the electricity consumption peak period
Duration, Δ TmidFor with the duration of level periods, Δ ToffFor the duration of electricity consumption paddy period；
D. the load curve under the peak Pinggu tou power price obtained using following formula to step C is modified:
L (t) in formula*For the correction value of t period electricity consumption after demand response, L (t)bFor the firm demand of t period user, L
(t)maxFor the peak load of t period user, L (t) is the load curve value under peak Pinggu tou power price that step C is obtained；
E. user power utilization is calculated using following formula and is accustomed to satisfaction ms:
In formulaIndicate response quautity absolute value the sum of of the electric load within a dispatching cycle,Indicate the electric load total amount of one dispatching cycle when without demand response；
F. demand charge satisfaction m is calculated using following formulap:
In formulaIt indicates in a dispatching cycle, electric load is made due to demand response
At the sum of electricity cost variation；Indicate total energy charge of electric load in demand response previous dispatching cycle
With.
User side thermal load demands response model is established described in step S3, specially establishes model using following steps:
A. electric boiler model is calculated using following formula:
Qeb=ηebPeb
Q in formulaebFor the heats power of electric boiler；ηebFor thermoelectric (al) power ratio；PebFor the electrical power of device；And electric boiler
Power constraint is as follows: Pebmin≤Peb(t)≤PebmaxAnd Qebmin≤Qeb(t)≤Qebmax, wherein PebminAllow most for electric boiler
Small input electric power, PebmaxFor the maximum output electrical power that electric boiler allows, QebminThe minimum output electric work allowed for electric boiler
Rate, QebmaxFor the maximum output electrical power that electric boiler allows, PebIt (t) is the real-time input electric power of electric boiler, QebIt (t) is electricity
The real-time electromotive power output of boiler；
B. heat accumulation model is calculated using following formula:
S (t)=S (t-1)+Phs(t)Δt-η·S(t-1)
S (t) is the heat storage capacity of t moment in formula, and S (t-1) is the heat storage capacity at t-1 moment, Phs(t) exist for heat accumulation equipment
The output power of t moment, η are the heat accumulation efficiency of heat reservoir；And the constraint of heat accumulation power and capacity is as follows: Phsmin≤Phs(t)
≤PhsmaxAnd Smin≤S(t)≤Smax, PhsminFor the minimum output power that heat accumulation equipment allows, PhsmaxAllow for heat accumulation equipment
Peak power output, PhsIt (t) is the output power of heat accumulation equipment, SminFor the lower bound of capacity of heat accumulation equipment, SmaxFor heat accumulation equipment
Maximum size, S (t) be heat accumulation equipment real time capacity；
C. the work rule of electric boiler and heat accumulation equipment is as follows:
In the paddy electricity valence stage, electric boiler is worked with maximum power, and the thermal energy of output is sent into heat accumulation for supplying thermic load
Device；
In the peak electricity price stage, heat-storing device preferentially supplies thermic load, then supplies thermic load by electric boiler again.
Active power distribution network safety economy scheduling model is established described in step S4, specially establishes mould using following steps
Type:
1) determine optimized variable: optimized variable includes the interconnection switch state in power distribution network, the block switch in power distribution network
Electricity price and electricity price when paddy when state, peak；
2) using following formula as objective function:
Minf=CLOSS+CPSDR
F is system overall running cost, C in formulaPSDRFor demand response expense, CLOSSFor cost of losses, TonFor the peak of electricity consumption
Period, TmidFor the usually section of electricity consumption, ToffFor the paddy period of electricity consumption, PonFor the electricity price of peak period, Δ PonFor the electricity price of peak period
Knots modification, PmidFor the electricity price of usually section, Δ PmidFor the electricity price knots modification of usually section, PoffFor the electricity price of paddy period, Δ PoffFor
The electricity price knots modification of paddy period, L0It (t) is the load for implementing the t moment before time-of-use tariffs, L (t) is the t implemented after time-of-use tariffs
The load at moment, TallPeriod before implementing for peak Pinggu electricity price, PallOrdinary telegram valence before implementing for peak Pinggu electricity price, n is distribution
Net branch sum, Pi(t)For the active power for flowing through branch head end, Qi(t)For the reactive power for flowing through branch head end, Ui(t)For branch
Road voltage, Ri(t)For branch impedance；
3) using following formula as constraint condition:
PCL{Il≤Ipl}≥αI, l=1 ..., Li
PCL{VLi≤Vi≤VUi}≥αV, j=1 ..., N
PCL{Nz≤Nzmax}≥αN,z∈S
PCL{di≥0}≥αd
PCL{k1≤Pon/Poff≤k2}≥αk
PCL{mp≥mp.min}≥αm
PCL{ms≥ms.min}≥αm
P in formulaGi,tActive power for node i in t moment, Li,tActive power for node i in t moment, Vi,tFor section
For point i in the voltage magnitude of t moment, N is number of nodes, GijFor the conductance of branch ij, θij,tFor power of the branch ij in moment t because
Plain angle, BijFor the susceptance of branch ij, QGi,tReference load for node i in t moment, Qi,tFor node i t moment idle function
Rate, PCL{ } is the chance for indicating to reach confidence level, αI、αV、αN、αd、αk、αmIt is confidence level, IlFor element current, IplFor
Element maximum allowed current, VLiFor the lower voltage limit of node j, ViFor node voltage, VUiFor the upper voltage limit of node j, NzTo open
Close action frequency, NzmaxTo switch total action frequency, diFor power distribution network safe distance, k1For the lower limit of peak-trough electricity pressure ratio, k2For peak
The upper limit of valley voltage ratio, mpFor demand charge satisfaction, mp.minIt is accustomed to the minimum value of satisfaction, m for user power utilizationsFor user's use
Electricity habit satisfaction, ms.minFor the minimum value of electricity charge satisfaction.
This active power distribution network the safe and economic operation method provided by the invention combines demand by establishing and considering electric heating
Response model and user satisfaction model utilize storage to consider the influence that electric heating joint demand response runs power distribution network
Thermal carries out the peak load shifting of thermic load, cooperates power distribution network reconfiguration strategy, realizes the scheduling of power distribution network safety economy；In network weight
Structure is fallen into a trap and main transformer N-1 and feeder line N-1 fault condition, ensures the safe operation of intelligent distribution network；In terms of demand response, pass through
Demand response amendment and user satisfaction function improve the enthusiasm that user participates in demand response；Photovoltaic, wind-powered electricity generation etc. is considered to connect
Enter the uncertainty of the distributed generation resource of power distribution network；Therefore, the present invention comprehensively considers thermic load, traditional electric load, user's participation
Property and distributed generation resource uncertain factor, and science is reliable, and applicability is good.
Detailed description of the invention
Fig. 1 is the method flow diagram of the method for the present invention.
Specific embodiment
It is as shown in Figure 1 the method flow diagram of the method for the present invention: this active power distribution network safety economy provided by the invention
Operation method includes the following steps:
S1. the parameter of active power distribution network to be analyzed is obtained；
S2. user side electrical load requirement response model is established；Specially model is established using following steps:
A. the demand response based on electricity price is to guide user's rational utilization of electricity by Peak-valley TOU power price, by improving load
Annual distribution improve operation of power networks safety；Original electric load uses typical load curve, under Peak-valley TOU power price, often
Electric load (in addition to electric boiler) is advised based on power price coefficient of elasticity, is adjusted by price elasticity matrix；Using such as
Lower formula calculates power price coefficient of elasticity ε:
Δ Q is the knots modification of power demand in formula, and Q is power demand, and Δ P is the knots modification of electric power price, and P is electricity
Power price；
B. matrix is changed using the electricity that conventional electric load is calculated in following formula:
Q in formulaonFor the electricity consumption of peak period, Δ QonFor the electricity consumption knots modification of peak period, QmidFor the electricity consumption of usually section
Amount, Δ QmidFor the electricity consumption knots modification of usually section, QoffFor the electricity consumption of paddy period, Δ QoffChange for the electricity consumption of paddy period
Amount, PonFor the electricity price of peak period, Δ PonFor the electricity price knots modification of peak period, PmidFor the electricity price of usually section, Δ PmidFor usually section
Electricity price knots modification, PoffFor the electricity price of paddy period, Δ PoffFor the electricity price knots modification of paddy period, εijFor Demand Elasticity Coefficient, i=
1,2,3, j=1,2,3；
C. the load curve under the tou power price of peak Pinggu is calculated using following formula:
L in formula0It (t) is the load for implementing the t moment before time-of-use tariffs, L (t) is the t moment implemented after time-of-use tariffs
Load, TonFor the peak period of electricity consumption, TmidFor the usually section of electricity consumption, ToffFor the paddy period of electricity consumption, Δ TonFor the electricity consumption peak period
Duration, Δ TmidFor with the duration of level periods, Δ ToffFor the duration of electricity consumption paddy period；
Although the user demand response model D. obtained by step C approximate can reflect actual conditions, not
Consider that user can not freely adjust in certain period internal loadings, that is, there is the firm demand and peak load of the period, therefore adopts
Load curve under the peak Pinggu tou power price obtained with following formula to step C is modified:
L (t) in formula*For the correction value of t period electricity consumption after demand response, L (t)bFor the firm demand of t period user, L
(t)maxFor the peak load of t period user, L (t) is the load curve value under peak Pinggu tou power price that step C is obtained；
Electricity price type demand response is dissolved into power distribution network economic load dispatching, the load curve of user can become with electricity price
Change；If causing the mode of production and life of user and electricity cost biggish change occur since time-of-use tariffs formulation is unreasonable
Change, cause it resentment occur, not only will affect the social image of power supply company, also will affect user and participate in demand response
Enthusiasm is unable to reach the purpose for allowing user to participate in power distribution network economic load dispatching；Therefore, it is proposed to user power utilization habit satisfaction
Index and demand charge Satisfaction index are spent to measure the satisfaction of user；
E. user power utilization is calculated using following formula and is accustomed to satisfaction ms:
In formulaIndicate response quautity absolute value the sum of of the electric load within a dispatching cycle,Indicate the electric load total amount of one dispatching cycle when without demand response；
F. demand charge satisfaction m is calculated using following formulap:
In formulaIt indicates in a dispatching cycle, electric load is made due to demand response
At the sum of electricity cost variation；Indicate total energy charge of electric load in demand response previous dispatching cycle
With；
Function msAnd mpIt is bigger, represent that user is more satisfied, the participation of demand response is higher；When load carries out demand response
Need to meet user satisfaction constraint；
S3. user side thermal load demands response model is established；Specially model is established using following steps:
A. electric boiler is the equipment for realizing load side electro thermal coupling, and electric heating conversion may be implemented, convert electrical energy into thermal energy,
It supplies thermic load and thermal energy storage will be more than in heat-storing device；Electric boiler model is calculated using following formula:
Qeb=ηebPeb
Q in formulaebFor the heats power of electric boiler；ηebFor thermoelectric (al) power ratio；PebFor the electrical power of device；And electric boiler
Power constraint is as follows: Pebmin≤Peb(t)≤PebmaxAnd Qebmin≤Qeb(t)≤Qebmax, wherein PebminAllow most for electric boiler
Small input electric power, PebmaxFor the maximum output electrical power that electric boiler allows, QebminThe minimum output electric work allowed for electric boiler
Rate, QebmaxFor the maximum output electrical power that electric boiler allows, PebIt (t) is the real-time input electric power of electric boiler, QebIt (t) is electricity
The real-time electromotive power output of boiler；
B. heat accumulation model (heat accumulation equipment is generally heat-accumulator tank and heat storage tank etc.) is calculated using following formula:
S (t)=S (t-1)+Phs(t)Δt-η·S(t-1)
S (t) is the heat storage capacity of t moment in formula, and S (t-1) is the heat storage capacity at t-1 moment, Phs(t) exist for heat accumulation equipment
The output power of t moment, η are the heat accumulation efficiency of heat reservoir；And the constraint of heat accumulation power and capacity is as follows: Phsmin≤Phs(t)
≤PhsmaxAnd Smin≤S(t)≤Smax, PhsminFor the minimum output power that heat accumulation equipment allows, PhsmaxAllow for heat accumulation equipment
Peak power output, PhsIt (t) is the output power of heat accumulation equipment, SminFor the lower bound of capacity of heat accumulation equipment, SmaxFor heat accumulation equipment
Maximum size, S (t) be heat accumulation equipment real time capacity；
C. the work rule of electric boiler and heat accumulation equipment is as follows:
In the paddy electricity valence stage, electric boiler is worked with maximum power, and the thermal energy of output is sent into heat accumulation for supplying thermic load
Device；
In the peak electricity price stage, heat-storing device preferentially supplies thermic load, then supplies thermic load by electric boiler again；
S4. the model established according to step S2 and S3, establishes active power distribution network safety economy scheduling model；Specially use
Following steps establish model:
1) determine optimized variable: optimized variable includes the interconnection switch state in power distribution network, the block switch in power distribution network
Electricity price and electricity price when paddy when state, peak；
2) using following formula as objective function:
Minf=CLOSS+CPSDR
F is system overall running cost, C in formulaPSDRFor demand response expense, CLOSSFor cost of losses, TonFor the peak of electricity consumption
Period, TmidFor the usually section of electricity consumption, ToffFor the paddy period of electricity consumption, PonFor the electricity price of peak period, Δ PonFor the electricity price of peak period
Knots modification, PmidFor the electricity price of usually section, Δ PmidFor the electricity price knots modification of usually section, PoffFor the electricity price of paddy period, Δ PoffFor
The electricity price knots modification of paddy period, L0It (t) is the load for implementing the t moment before time-of-use tariffs, L (t) is the t implemented after time-of-use tariffs
The load at moment, TallPeriod before implementing for peak Pinggu electricity price, PallOrdinary telegram valence before implementing for peak Pinggu electricity price, n is distribution
Net branch sum, Pi(t)For the active power for flowing through branch head end, Qi(t)For the reactive power for flowing through branch head end, Ui(t)For branch
Road voltage, Ri(t)For branch impedance；
3) using following formula as constraint condition:
PCL{Il≤Ipl}≥αI, l=1 ..., Li
PCL{VLi≤Vi≤VUi}≥αV, j=1 ..., N
PCL{Nz≤Nzmax}≥αN,z∈S
PCL{di≥0}≥αd
PCL{k1≤Pon/Poff≤k2}≥αk
PCL{mp≥mp.min}≥αm
PCL{ms≥ms.min}≥αm
P in formulaGi,tActive power for node i in t moment, Li,tActive power for node i in t moment, Vi,tFor section
For point i in the voltage magnitude of t moment, N is number of nodes, GijFor the conductance of branch ij, θij,tFor power of the branch ij in moment t because
Plain angle, BijFor the susceptance of branch ij, QGi,tReference load for node i in t moment, Qi,tFor node i t moment idle function
Rate, PCL{ } is the chance for indicating to reach confidence level, αI、αV、αN、αd、αk、αmIt is confidence level, IlFor element current, IplFor
Element maximum allowed current, VLiFor the lower voltage limit of node j, ViFor node voltage, VUiFor the upper voltage limit of node j, NzTo open
Close action frequency, NzmaxTo switch total action frequency, diFor power distribution network safe distance, k1For the lower limit of peak-trough electricity pressure ratio, k2For peak
The upper limit of valley voltage ratio, mpFor demand charge satisfaction, mp.minIt is accustomed to the minimum value of satisfaction, m for user power utilizationsFor user's use
Electricity habit satisfaction, ms.minFor the minimum value of electricity charge satisfaction；
S5. the active power distribution network safety economy scheduling model that solution procedure S4 is established, to obtain final active distribution
Net the safe and economic operation strategy.
Claims (4)
1. a kind of active power distribution network the safe and economic operation method, includes the following steps:
S1. the parameter of active power distribution network to be analyzed is obtained；
S2. user side electrical load requirement response model is established；
S3. user side thermal load demands response model is established；
S4. the model established according to step S2 and S3, establishes active power distribution network safety economy scheduling model；
S5. the active power distribution network safety economy scheduling model that solution procedure S4 is established, to obtain final active power distribution network peace
Full economic operation strategy.
2. active power distribution network the safe and economic operation method according to claim 1, it is characterised in that built described in step S2
Vertical user side workload demand response model, specially establishes model using following steps:
A. power price coefficient of elasticity ε is calculated using following formula:
Δ Q is the knots modification of power demand in formula, and Q is power demand, and Δ P is the knots modification of electric power price, and P sells for electric power
Valence；
B. matrix is changed using the electricity that conventional electric load is calculated in following formula:
Q in formulaonFor the electricity consumption of peak period, Δ QonFor the electricity consumption knots modification of peak period, QmidFor the electricity consumption of usually section, Δ
QmidFor the electricity consumption knots modification of usually section, QoffFor the electricity consumption of paddy period, Δ QoffFor the electricity consumption knots modification of paddy period, Pon
For the electricity price of peak period, Δ PonFor the electricity price knots modification of peak period, PmidFor the electricity price of usually section, Δ PmidFor the electricity price of usually section
Knots modification, PoffFor the electricity price of paddy period, Δ PoffFor the electricity price knots modification of paddy period, εijFor Demand Elasticity Coefficient, i=1,2,3,
J=1,2,3；
C. the load curve under the tou power price of peak Pinggu is calculated using following formula:
L in formula0It (t) is the load for implementing the t moment before time-of-use tariffs, L (t) is the load for implementing the t moment after time-of-use tariffs,
TonFor the peak period of electricity consumption, TmidFor the usually section of electricity consumption, ToffFor the paddy period of electricity consumption, Δ TonFor continuing for electricity consumption peak period
Time, Δ TmidFor with the duration of level periods, Δ ToffFor the duration of electricity consumption paddy period；
D. the load curve under the peak Pinggu tou power price obtained using following formula to step C is modified:
L (t) in formula*For the correction value of t period electricity consumption after demand response, L (t)bFor the firm demand of t period user, L (t)max
For the peak load of t period user, L (t) is the load curve value under peak Pinggu tou power price that step C is obtained；
E. user power utilization is calculated using following formula and is accustomed to satisfaction ms:
In formulaIndicate response quautity absolute value the sum of of the electric load within a dispatching cycle,
Indicate the electric load total amount of one dispatching cycle when without demand response；
F. demand charge satisfaction m is calculated using following formulap:
In formulaIt indicates in a dispatching cycle, electric load causes to use due to demand response
The sum of electricity charge variation；Indicate total electricity cost of electric load in demand response previous dispatching cycle.
3. active power distribution network the safe and economic operation method according to claim 1, it is characterised in that built described in step S3
Vertical user side thermal load demands response model, specially establishes model using following steps:
A. electric boiler model is calculated using following formula:
Qeb=ηebPeb
Q in formulaebFor the heats power of electric boiler；ηebFor thermoelectric (al) power ratio；PebFor the electrical power of device；And the power of electric boiler
It constrains as follows: Pebmin≤Peb(t)≤PebmaxAnd Qebmin≤Qeb(t)≤Qebmax, wherein PebminThe minimum allowed for electric boiler is defeated
Enter electrical power, PebmaxFor the maximum output electrical power that electric boiler allows, QebminFor electric boiler allow minimum electromotive power output,
QebmaxFor the maximum output electrical power that electric boiler allows, PebIt (t) is the real-time input electric power of electric boiler, QebIt (t) is electric boiler
Real-time electromotive power output；
B. heat accumulation model is calculated using following formula:
S (t)=S (t-1)+Phs(t)Δt-η·S(t-1)
S (t) is the heat storage capacity of t moment in formula, and S (t-1) is the heat storage capacity at t-1 moment, PhsIt (t) is heat accumulation equipment in t
The output power at quarter, η are the heat accumulation efficiency of heat reservoir；And the constraint of heat accumulation power and capacity is as follows: Phsmin≤Phs(t)≤
PhsmaxAnd Smin≤S(t)≤Smax, PhsminFor the minimum output power that heat accumulation equipment allows, PhsmaxAllow most for heat accumulation equipment
Big output power, PhsIt (t) is the output power of heat accumulation equipment, SminFor the lower bound of capacity of heat accumulation equipment, SmaxFor heat accumulation equipment
Maximum size, S (t) are the real time capacity of heat accumulation equipment；
C. the work rule of electric boiler and heat accumulation equipment is as follows:
In the paddy electricity valence stage, electric boiler is worked with maximum power, and the thermal energy of output is sent into heat accumulation dress for supplying thermic load
It sets；
In the peak electricity price stage, heat-storing device preferentially supplies thermic load, then supplies thermic load by electric boiler again.
4. active power distribution network the safe and economic operation method described according to claim 1~one of 3, it is characterised in that step S4 institute
That states establishes active power distribution network safety economy scheduling model, specially establishes model using following steps:
1) determine optimized variable: optimized variable include the interconnection switch state in power distribution network, the block switch state in power distribution network,
Electricity price and electricity price when paddy when peak；
2) using following formula as objective function:
Minf=CLOSS+CPSDR
F is system overall running cost, C in formulaPSDRFor demand response expense, CLOSSFor cost of losses, TonFor the peak period of electricity consumption,
TmidFor the usually section of electricity consumption, ToffFor the paddy period of electricity consumption, PonFor the electricity price of peak period, Δ PonChange for the electricity price of peak period
Amount, PmidFor the electricity price of usually section, Δ PmidFor the electricity price knots modification of usually section, PoffFor the electricity price of paddy period, Δ PoffWhen for paddy
The electricity price knots modification of section, L0It (t) is the load for implementing the t moment before time-of-use tariffs, L (t) is the t moment implemented after time-of-use tariffs
Load, TallPeriod before implementing for peak Pinggu electricity price, PallOrdinary telegram valence before implementing for peak Pinggu electricity price, n are power distribution network branch
Road sum, Pi(t)For the active power for flowing through branch head end, Qi(t)For the reactive power for flowing through branch head end, Ui(t)For branch electricity
Pressure, Ri(t)For branch impedance；
3) using following formula as constraint condition:
PCL{Il≤Ipl}≥αI, l=1 ..., Li
PCL{VLi≤Vi≤VUi}≥αV, j=1 ..., N
PCL{Nz≤Nzmax}≥αN,z∈S
PCL{di≥0}≥αd
PCL{k1≤Pon/Poff≤k2}≥αk
PCL{mp≥mp.min}≥αm
PCL{ms≥ms.min}≥αm
P in formulaGi,tActive power for node i in t moment, Li,tActive power for node i in t moment, Vi,tIt is node i in t
The voltage magnitude at moment, N are number of nodes, GijFor the conductance of branch ij, θij,tFor power factor angle of the branch ij in moment t,
BijFor the susceptance of branch ij, QGi,tReference load for node i in t moment, Qi,tReactive power for node i in t moment, PCL
{ } is the chance for indicating to reach confidence level, αI、αV、αN、αd、αk、αmIt is confidence level, IlFor element current, IplFor element
Maximum allowed current, VLiFor the lower voltage limit of node j, ViFor node voltage, VUiFor the upper voltage limit of node j, NzIt is dynamic to switch
Make number, NzmaxTo switch total action frequency, diFor power distribution network safe distance, k1For the lower limit of peak-trough electricity pressure ratio, k2For peak-trough electricity
The upper limit of pressure ratio, mpFor demand charge satisfaction, mp.minIt is accustomed to the minimum value of satisfaction, m for user power utilizationsFor user power utilization habit
Used satisfaction, ms.minFor the minimum value of electricity charge satisfaction.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811512638.8A CN109599864A (en) | 2018-12-11 | 2018-12-11 | Active power distribution network the safe and economic operation method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811512638.8A CN109599864A (en) | 2018-12-11 | 2018-12-11 | Active power distribution network the safe and economic operation method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109599864A true CN109599864A (en) | 2019-04-09 |
Family
ID=65961789
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811512638.8A Pending CN109599864A (en) | 2018-12-11 | 2018-12-11 | Active power distribution network the safe and economic operation method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109599864A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110165666A (en) * | 2019-05-29 | 2019-08-23 | 四川大学 | A kind of active distribution network dispatching method based on IGDT |
| CN110347039A (en) * | 2019-07-09 | 2019-10-18 | 东北大学 | Consider that user satisfaction and electric boiler participate in the combined heat and power optimization method of peak regulation |
| CN110378058A (en) * | 2019-07-26 | 2019-10-25 | 中民新能投资集团有限公司 | A kind of method for building up for the electro thermal coupling microgrid optimal response model comprehensively considering reliability and economy |
| CN115375091A (en) * | 2022-07-15 | 2022-11-22 | 国网宁夏电力有限公司营销服务中心(国网宁夏电力有限公司计量中心) | Load adjustability quantification method based on price elastic coefficient |
| CN115859691A (en) * | 2023-02-21 | 2023-03-28 | 国网浙江省电力有限公司金华供电公司 | Multi-objective optimization scheduling method for electric heating combined demand response |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105405061A (en) * | 2015-05-06 | 2016-03-16 | 国家电网公司 | Evaluation method of power supply reliability of distribution network based on demand response |
| CN107392395A (en) * | 2017-08-23 | 2017-11-24 | 天津大学 | A kind of power distribution network and micro electric network coordination optimization method based on price competition mechanism |
| CN108009693A (en) * | 2018-01-03 | 2018-05-08 | 上海电力学院 | Grid-connected micro-capacitance sensor dual blank-holder based on two-stage demand response |
| CN108683174A (en) * | 2018-04-19 | 2018-10-19 | 浙江工业大学 | A kind of network loss optimization method based on Multiple Time Scales demand response model |
-
2018
- 2018-12-11 CN CN201811512638.8A patent/CN109599864A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105405061A (en) * | 2015-05-06 | 2016-03-16 | 国家电网公司 | Evaluation method of power supply reliability of distribution network based on demand response |
| CN107392395A (en) * | 2017-08-23 | 2017-11-24 | 天津大学 | A kind of power distribution network and micro electric network coordination optimization method based on price competition mechanism |
| CN108009693A (en) * | 2018-01-03 | 2018-05-08 | 上海电力学院 | Grid-connected micro-capacitance sensor dual blank-holder based on two-stage demand response |
| CN108683174A (en) * | 2018-04-19 | 2018-10-19 | 浙江工业大学 | A kind of network loss optimization method based on Multiple Time Scales demand response model |
Non-Patent Citations (5)
| Title |
|---|
| A. SHAHMOHAMMADI 等: "Optimal Design of Multicarrier Energy Systems Considering Reliability Constraints", 《IEEE TRANSACTIONS ON POWER DELIVERY》 * |
| A. SHAHMOHAMMADI 等: "Optimal Design of Multicarrier Energy Systems Considering Reliability Constraints", 《IEEE TRANSACTIONS ON POWER DELIVERY》, vol. 30, no. 2, 30 April 2015 (2015-04-30), XP011576482, DOI: 10.1109/TPWRD.2014.2365491 * |
| 别朝红 等: "考虑需求响应的含风电电力系统的优化调度", 《电力系统自动化》, vol. 38, no. 13, 10 July 2014 (2014-07-10), pages 115 - 120 * |
| 董晓晶 等: "考虑多类型综合需求响应的电热耦合能源系统可靠性评估", 《电力建设》 * |
| 董晓晶 等: "考虑多类型综合需求响应的电热耦合能源系统可靠性评估", 《电力建设》, vol. 39, no. 11, 30 November 2018 (2018-11-30), pages 11 - 19 * |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110165666A (en) * | 2019-05-29 | 2019-08-23 | 四川大学 | A kind of active distribution network dispatching method based on IGDT |
| CN110347039A (en) * | 2019-07-09 | 2019-10-18 | 东北大学 | Consider that user satisfaction and electric boiler participate in the combined heat and power optimization method of peak regulation |
| CN110347039B (en) * | 2019-07-09 | 2021-03-26 | 东北大学 | Combined heat and power optimization method considering user satisfaction and electric boiler participating peak regulation |
| CN110378058A (en) * | 2019-07-26 | 2019-10-25 | 中民新能投资集团有限公司 | A kind of method for building up for the electro thermal coupling microgrid optimal response model comprehensively considering reliability and economy |
| CN110378058B (en) * | 2019-07-26 | 2023-12-15 | 中民新能投资集团有限公司 | Method for establishing optimal response model of electrothermal coupling micro-grid by comprehensively considering reliability and economy |
| CN115375091A (en) * | 2022-07-15 | 2022-11-22 | 国网宁夏电力有限公司营销服务中心(国网宁夏电力有限公司计量中心) | Load adjustability quantification method based on price elastic coefficient |
| CN115859691A (en) * | 2023-02-21 | 2023-03-28 | 国网浙江省电力有限公司金华供电公司 | Multi-objective optimization scheduling method for electric heating combined demand response |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109599864A (en) | Active power distribution network the safe and economic operation method | |
| Liu et al. | Online energy sharing for nanogrid clusters: A Lyapunov optimization approach | |
| CN109740786A (en) | A kind of multiterminal flexible interconnection distribution network planning method and system | |
| CN108767895B (en) | Method for optimizing capacity of water-wind-solar matched power supply of sending-end system by considering resource constraint | |
| CN107069791B (en) | A kind of integration requirement response method for considering industrial park and being interacted with factory | |
| CN110110913A (en) | Large-scale garden integrated energy system energy source station Optimal Configuration Method | |
| CN106058855A (en) | Active power distribution network multi-target optimization scheduling method of coordinating stored energy and flexible load | |
| CN107706923A (en) | A kind of load active management method suitable for active distribution network | |
| CN109066822A (en) | A kind of multi-point dispersion formula distribution system dispatching method based on electric power electric transformer | |
| CN107490960A (en) | Double-deck coordination optimizing method based on the online demand response potentiality of intelligent appliance | |
| CN110266010A (en) | DC distribution net grid structure and distributed photovoltaic multiple target cooperative optimization method | |
| CN104410091B (en) | Wind energy storage management system based on converter control and wind energy storage management system control method | |
| CN109066802A (en) | A kind of microgrid energy management system and method | |
| CN202838008U (en) | Intelligent electric control system for residential area | |
| CN108599235A (en) | A kind of constant volume method that distributed photovoltaic networks | |
| CN105071410A (en) | Power distribution network reactive power optimized dispatching method and system based on virtual power plant | |
| CN201966838U (en) | Wind energy, solar energy, diesel and battery combined power supply and integrated control system thereof | |
| CN109494813A (en) | A kind of power dispatching method, electronic equipment and storage medium | |
| CN109617147A (en) | A kind of electric power electric transformer optimization of operation strategy combined method | |
| CN105426985B (en) | Urban distribution network voltage distribution optimization method suitable for roof photovoltaic access | |
| CN115764927A (en) | Power grid peak regulation method and system based on wind, light, water and fire multi-energy complementary characteristics | |
| Li et al. | Long duration flexibility planning challenges and solutions for power system with ultra high share of renewable energy | |
| CN107528321A (en) | Interconnected network AC/DC parallel passway for transmitting electricity power random optimization distribution method | |
| CN107681701A (en) | The hierarchy optimization dispatching method of alternating current-direct current power distribution network | |
| CN105576702B (en) | A kind of community energy network system and its residents energy source router |
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 | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190409 |