CN107039971B - It is a kind of to dispatch the power transmission and transforming equipment dynamic compatibilization method mutually cooperateed with Unit Combination - Google Patents

It is a kind of to dispatch the power transmission and transforming equipment dynamic compatibilization method mutually cooperateed with Unit Combination Download PDF

Info

Publication number
CN107039971B
CN107039971B CN201710182880.2A CN201710182880A CN107039971B CN 107039971 B CN107039971 B CN 107039971B CN 201710182880 A CN201710182880 A CN 201710182880A CN 107039971 B CN107039971 B CN 107039971B
Authority
CN
China
Prior art keywords
volume
increase
equipment
transformer
power transmission
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.)
Active
Application number
CN201710182880.2A
Other languages
Chinese (zh)
Other versions
CN107039971A (en
Inventor
郭创新
楼贤嗣
许奕斌
郭志红
陈玉峰
杨祎
杜修明
林颖
白德盟
李明
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zhejiang University ZJU
State Grid Shandong Electric Power Co Ltd
Original Assignee
Zhejiang University ZJU
State Grid Shandong Electric Power Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Zhejiang University ZJU, State Grid Shandong Electric Power Co Ltd filed Critical Zhejiang University ZJU
Priority to CN201710182880.2A priority Critical patent/CN107039971B/en
Publication of CN107039971A publication Critical patent/CN107039971A/en
Application granted granted Critical
Publication of CN107039971B publication Critical patent/CN107039971B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06312Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0639Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06Energy or water supply
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/008Circuit arrangements for ac mains or ac distribution networks involving trading of energy or energy transmission rights
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Human Resources & Organizations (AREA)
  • Economics (AREA)
  • Strategic Management (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Marketing (AREA)
  • General Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • Tourism & Hospitality (AREA)
  • Development Economics (AREA)
  • Quality & Reliability (AREA)
  • Operations Research (AREA)
  • Game Theory and Decision Science (AREA)
  • Educational Administration (AREA)
  • Power Engineering (AREA)
  • Health & Medical Sciences (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 power transmission and transforming equipment dynamic compatibilization method mutually cooperateed with is dispatched with Unit Combination the invention discloses a kind of.The invention includes the following steps: establishing the differential equation, calculate under security constraint, the maximum increase-volume of transmission line of electricity and transformer runs load factor;In terms of transmission losses and equipment life lose two, quantum chemical method power transmission and transforming equipment increase-volume operating cost obtains the power transmission and transforming equipment increase-volume operating cost curve under different loads rate;The timing operating status of individual equipment is obtained using receiving-refusal sampling method according to power transmission and transformation equipment failure rate, combination obtains the timing operating status of system;For the system running state that sampling obtains, solution Unit Combination cooperates with Optimized model with power transmission and transforming equipment increase-volume plan, obtains the operation plan and economic index under the system running state;By the convergence conditions for judging whether to meet Monte Carlo circulation, system call decision scheme library and economic index expectation are obtained.The present invention reduces system operation cost, guarantees power grid security.

Description

It is a kind of to dispatch the power transmission and transforming equipment dynamic compatibilization method mutually cooperateed with Unit Combination
Technical field
The invention belongs to operation and control of electric power system research fields, and in particular to a kind of mutually to cooperate with Unit Combination scheduling Power transmission and transforming equipment dynamic compatibilization method.
Background technique
With the continuous development of regional economy and the extensive access of renewable energy, power grid construction lag is needed with high electricity consumption Contradiction between asking constantly highlights.Under electricity market mechanism, grid company needs operation electricity in the case of closer to the limit How power equipment balances the safety and economy of operation of power networks, and for dispatching of power netwoks, more stringent requirements are proposed with control.Base It is two excavation transmitting capacity of the electric wire netting in the Optimization of Unit Commitment By Improved (SCUC) and dynamic compatibilization technology of security constraint, solves trend and gather around The effective means of plug.
It is long-standing for the research of the Optimization of Unit Commitment By Improved (SCUC) based on security constraint, the problem be primarily upon how Guaranteeing Line Flow and under conditions of not out-of-limit node voltage, dispatch each generating set power output, reach reduce cutting load amount with And minimize the purpose of system cost of electricity-generating.Traditional Optimization of Unit Commitment By Improved based on security constraint does not consider power transmission and transforming equipment It is random to stop transport, the compatibilization ability in short-term of power transmission and transforming equipment is taken no account of, the rated capacity of power transmission and transforming equipment is a fixed constant. Therefore traditional Optimization of Unit Commitment By Improved is a static optimization problem.
Power transmission and transforming equipment dynamic compatibilization technology passes through the key factor of analyzing influence equipment power transmission and transformation ability, establishes model value Change influence of each factor to the key operating index of equipment, to attempt to mention in a short time under the premise of guaranteeing safety The power transmission and transformation ability of high equipment.But individual equipment is paid close attention in the current research about power transmission and transforming equipment dynamic compatibilization technology mostly Dynamic compatibilization ability, increase-volume equipment how is arranged not from the viewpoint of system, how to arrange the problem of increase-volume period. Thus the dynamic compatibilization technology of power transmission and transforming equipment is usually applied to two equipment of mutual backup, wherein an overhaul of the equipments, setting The case where when standby failure.
Therefore, it is necessary to study a kind of power transmission and transforming equipment dynamic compatibilization method mutually cooperateed with Unit Combination scheduling, synthesis is answered With Unit Combination scheduling and power transmission and transforming equipment dynamic compatibilization technology both methods, transported from the increase-volume of global angle blending equipment Row ability, for excavating transmitting capacity of the electric wire netting, reducing system operation cost has important practice significance and huge economic valence Value.
Summary of the invention
The purpose of the present invention is provide a kind of and Unit Combination and dispatch for above-mentioned technical problem present in the prior art The mutually power transmission and transforming equipment dynamic compatibilization method of collaboration.
The technical solution adopted by the present invention to solve the technical problems includes the following steps:
Step 1 establishes the differential equation, calculates under security constraint, and the maximum increase-volume of transmission line of electricity and transformer runs load Rate.
Power transmission and transforming equipment in the present invention includes transformer and transmission line of electricity.Hot(test)-spot temperature is in the operation of the transformer Important technology index, excessively high hot(test)-spot temperature may cause winding insulation breakdown, transformer caused to fail.Therefore in capacity increasing process In, reasonable hot(test)-spot temperature is controlled, to guarantee the safe and stable operation of transformer.
1-1. uses transformer dynamic compatibilization model, and calculating transformer hot(test)-spot temperature is specific as follows:
Δθh=Δ θh1-Δθh2
θha+Δθ0+Δθh
Wherein, θhFor actual hot spot temperature, θaFor environment temperature, K is load factor, and Δ indicates that variable quantity, t indicate time, d For differential operator, R, τw、τ0、x、y、k11、k21And k22For parameter related with transformer.Set the value of hot(test)-spot temperature, it will be able to Calculating transformer maximum increase-volume load factor.The transformer dynamic compatibilization model can quantify load factor and environment temperature to transformer The influence of hot spot temperature of winding.
Conductor temperature is the important technology index of transmission line of electricity operation, and excessively high conductor temperature may cause transmission line of electricity Insulation loss, arc sag increase, cause ground fault, line fault is caused to be stopped transport.Therefore it is reasonably controlled in capacity increasing process Conductor temperature processed is the effective ways for guaranteeing transmission line safety stable operation.
The power transmission line dynamic capacity increase model that 1-2. is used, the conductor temperature of computing electric power line are specific as follows:
Wherein, m is transmission line of electricity quality, CpFor route specific heat capacity, TcFor conductor temperature, t is the time, and d indicates that differential is calculated Son, Qj、Qs、Qr、QcRespectively indicate a joule heat production power, solar radiation power, heat loss through radiation power and heat loss through conduction power.It should Power transmission line dynamic capacity increase model can quantify the influence of load factor and environment temperature to conductor temperature.
Step 2 loses two aspects from transmission losses and equipment life, quantum chemical method power transmission and transforming equipment increase-volume run at This, obtains the power transmission and transforming equipment increase-volume operating cost curve under different loads rate.
2-1. transformer increase-volume operational process economic index calculation method is as follows:
Ct_p=(P0+K2Pk)Pin
Wherein, Ct_pFor transformer transmission losses, P0For transformer noload losses, PkFor transformer load loss, PinFor hair Electricity price.
Wherein, Ct_lifeFor transformer life loss, vtIt is transformer with respect to aging speed, L0The longevity is used for design of transformer Life, TpriceFor transformer price.BtFor empirical, θ0To design hot(test)-spot temperature, θhFor actual hot spot temperature.
Ct_total=Ct_p+Ct_life
Wherein, Ct_totalTotle drilling cost, including transmission losses C are run for transformer increase-volumet_pWith life loss Ct_lifeTwo Part.
2-2. transmission line of electricity increase-volume operational process economic index calculation method is as follows:
Cl_p=I0 2K2R·Pin
Wherein, Cl_pFor the transmission losses of transmission line of electricity, I0For transmission line of electricity rated current, R is transmission line of electricity conductor electricity Resistance, PinFor the electricity price that generates electricity.
Wherein, Cl_lifeFor transmission line of electricity life loss, vlIt is transmission line of electricity with respect to aging speed, L0For Transmission Line Design Service life, LpriceFor transmission line of electricity price.Bl, m be empirical, TiTo design conductor temperature, TlFor practical conductor temperature.
Cl_total=Cl_p+Cl_life
Cl_totalTotle drilling cost, including transmission losses C are run for transmission line of electricity increase-volumel_pWith life loss Cl_lifeTwo portions Point.
The increase-volume operation totle drilling cost of transformer and transmission line of electricity includes two parts of transmission losses and life loss, still Its calculation method is slightly different.According to defined above, the transformer under different loads rate and transmission line of electricity can be calculated Operating cost curve.
Step 3 obtains the when sort run of individual equipment using receiving-refusal sampling method according to power transmission and transformation equipment failure rate State, combination obtain the timing operating status of system.
Step 4, solution Unit Combination cooperate with Optimized model with power transmission and transforming equipment increase-volume plan, obtain system operation shape Operation plan and economic index under state.
Unit Combination proposed by the present invention cooperates with Optimized model with power transmission and transforming equipment increase-volume plan, traditional safety about Following change has been made in the Optimization of Unit Commitment By Improved (SCUC) of beam.
4-1. increases power transmission and transforming equipment increase-volume cost in objective function.
Wherein, objective function includes unit generation cost, cutting load cost and power transmission and transforming equipment increase-volume operating cost. Pi,tGenerated energy for unit i in the t period, FiFor the cost of electricity-generating function of unit i.LSm,tFor node m the t period cutting load Amount,For cutting load cost.PLl,tEffective power flow for power transmission and transforming equipment l in the t period, PLl maxFunction is run for equipment maximum Rate, PLl,t/PLl maxAs load factor of the equipment l in the t period, GlFor the increase-volume operating cost function of equipment l.
4-2. increases power transmission and transforming equipment increase-volume constraint in constraint condition:
Constraint condition:
Constraint 1 is power balance equation, Dm,tFor node m the t period workload demand.
Constraint 2 constrains for generated output, Pi maxAnd Pi minFor the minimum and maximum output power of generator i.
Constraint 3 constrains for cutting load.
Constraint 4,5 is power flow equation equality constraint, and A, KP, KD are constant matrices relevant to network topology.M be punishment because Son, I1,tOperating status for equipment l in the t period, 1 is operates normally, and 0 stops transport for failure, is sampled and is determined by system mode.
Traditional Line Flow security constraint is most importantly changed to the variable Line Flow of rated capacity and pacified by constraint 6 Staff cultivation, wherein klFor the maximum increase-volume load factor of equipment l.Jl,tFor equipmentlIt is run in the increase-volume state of t period, 1 for increase-volume, 0 runs for not increase-volume.
7-11 is constrained as power transmission and transforming equipment increase-volume constraint.Wherein, gl,t(hl,t) it is that equipment increase-volume starting (end) indicates, 1 Indicate equipmentlStart (end) increase-volume operational process in the t period.For the maximum increase-volume number of run of equipment l.Tl maxTo set The lasting increase-volume runing time of standby l, Jl,tFor equipment l the t period increase-volume state
Wherein, unit generation cost function Fi, equipment increase-volume operating cost function Gl, linearized or indexed linearisation Processing, entire optimization problem are a MIXED INTEGER linear optimization problem, and having mature derivation algorithm can be solved.
Step 5 judges whether the convergence conditions for meeting Monte Carlo circulation, goes to step 6 if meeting, if being unsatisfactory for turning To step 3.
The coefficient of variation of selection target function of the present invention as judge Monte Carlo circulation whether convergent criterion, specific meter Calculation method is as follows:
Wherein cv is coefficient of variation, and ns is Monte Carlo cycle-index, ckIt is excellent that collaboration is solved for kth time Monte Carlo circulation Change the target function value of model, caveFor the average value for the objective function that first ns times circulation solves.If coefficient of variation cv < 0.05 is recognized Meet convergence conditions for Monte Carlo circulation, conversely, being unsatisfactory for.
Step 6, iteration terminate, and obtain system call decision scheme library and economic index expectation.
The present invention has the beneficial effect that:
The present invention enriches operation of power networks regulation thinking, and the real time operation mode of the power transmission and transformation ability of equipment and power grid is had Machine combines.By Unit Combination optimizing scheduling Line Flow, while by dynamic compatibilization technology, in the premise for guaranteeing safety Under, increase the power transmission and transformation ability of equipment at important node in short-term.The joint of both means of integrated application of the present invention progress power grid Scheduling.Compared to traditional dynamic compatibilization method, the increase-volume fortune of power transmission and transforming equipment can be deployed from the angle of the network system overall situation Row ability reduces system operation cost, guarantees that power grid security, stabilization, efficient operation have weight for excavating transmitting capacity of the electric wire netting Want more practical value.
Detailed description of the invention
Fig. 1 is flow chart of the present invention.
Specific embodiment
The present invention will be further described with reference to the accompanying drawings.
Referring to Fig. 1, a kind of and Unit Combination of the invention dispatches the power transmission and transforming equipment dynamic compatibilization method mutually cooperateed with, packet Include the following steps:
Step 1 establishes the differential equation, calculates under security constraint, and the maximum increase-volume of transmission line of electricity and transformer runs load Rate.
Power transmission and transforming equipment in the present invention includes transformer and transmission line of electricity.Hot(test)-spot temperature is in the operation of the transformer Important technology index, excessively high hot(test)-spot temperature may cause winding insulation breakdown, transformer caused to fail.Therefore in capacity increasing process In, reasonable hot(test)-spot temperature is controlled, to guarantee the safe and stable operation of transformer.
1-1. uses transformer dynamic compatibilization model, and calculating transformer hot(test)-spot temperature is specific as follows:
Δθh=Δ θh1-Δθh2
θha+Δθ0+Δθh
Wherein, θhFor actual hot spot temperature, θaFor environment temperature, K is load factor, and Δ indicates that variable quantity, t indicate time, d For differential operator, R, τw、τ0、x、y、k11、k21And k22For parameter related with transformer.Set the value of hot(test)-spot temperature, so that it may Calculating transformer maximum increase-volume load factor.The transformer dynamic compatibilization model can quantify load factor and environment temperature to transformer The influence of hot spot temperature of winding.
Conductor temperature is the important technology index of transmission line of electricity operation, and excessively high conductor temperature may cause transmission line of electricity Insulation loss, arc sag increase, cause ground fault, line fault is caused to be stopped transport.Therefore it is reasonably controlled in capacity increasing process Conductor temperature processed is the effective ways for guaranteeing transmission line safety stable operation.
The power transmission line dynamic capacity increase model that 1-2. is used, the conductor temperature of computing electric power line are specific as follows:
Wherein, m is transmission line of electricity quality, CpFor route specific heat capacity, TcFor conductor temperature, t is the time, and d indicates that differential is calculated Son, Qj、Qs、Qr、QcRespectively indicate a joule heat production power, solar radiation power, heat loss through radiation power and heat loss through conduction power.It should Power transmission line dynamic capacity increase model can quantify the influence of load factor and environment temperature to conductor temperature.
Step 2 loses two aspects from transmission losses and equipment life, quantum chemical method power transmission and transforming equipment increase-volume run at This, obtains the power transmission and transforming equipment increase-volume operating cost curve under different loads rate.
2-1. transformer increase-volume operational process economic index calculation method is as follows:
Ct_p=(P0+K2Pk)Pin
Wherein, Ct_pFor transformer transmission losses, P0For transformer noload losses, PkFor transformer load loss, PinFor hair Electricity price.
Wherein, Ct_lifeFor transformer life loss, vtIt is transformer with respect to aging speed, L0The longevity is used for design of transformer Life, TpriceFor transformer price.BtFor empirical, θ0To design hot(test)-spot temperature, θhFor actual hot spot temperature.
Ct_total=Ct_p+Ct_life
Wherein, Ct_totalTotle drilling cost, including transmission losses C are run for transformer increase-volumet_pWith life loss Ct_lifeTwo Part.
2-2. transmission line of electricity increase-volume operational process economic index calculation method is as follows:
Cl_p=I0 2K2R·Pin
Wherein, Cl_pFor the transmission losses of transmission line of electricity, I0For transmission line of electricity rated current, R is transmission line of electricity conductor electricity Resistance, PinFor the electricity price that generates electricity.
Wherein, Cl_lifeFor transmission line of electricity life loss, vlIt is transmission line of electricity with respect to aging speed, L0For Transmission Line Design Service life, LpriceFor transmission line of electricity price.Bl, m be empirical, TiTo design conductor temperature, TlFor practical conductor temperature.
Cl_total=Cl_p+Cl_life
Cl_totalTotle drilling cost, including transmission losses C are run for transmission line of electricity increase-volumel_pWith life loss Cl_lifeTwo portions Point.
The increase-volume operation totle drilling cost of transformer and transmission line of electricity includes two parts of transmission losses and life loss, still Its calculation method is slightly different.According to defined above, the transformer under different loads rate and transmission line of electricity can be calculated Operating cost curve.
Step 3 obtains the when sort run of individual equipment using receiving-refusal sampling method according to power transmission and transformation equipment failure rate State, combination obtain the timing operating status of system.
Step 4, solution Unit Combination cooperate with Optimized model with power transmission and transforming equipment increase-volume plan, obtain system operation shape Operation plan and economic index under state.
Unit Combination proposed by the present invention cooperates with Optimized model with power transmission and transforming equipment increase-volume plan, traditional safety about Following change has been made in the Optimization of Unit Commitment By Improved (SCUC) of beam.
4-1. increases power transmission and transforming equipment increase-volume cost in objective function.
Wherein, objective function includes unit generation cost, cutting load cost and power transmission and transforming equipment increase-volume operating cost. Pi,tGenerated energy for unit i in the t period, FiFor the cost of electricity-generating function of unit i.LSm,tFor node m the t period cutting load Amount,For cutting load cost.PLl,tEffective power flow for power transmission and transforming equipment l in the t period, PLl maxFunction is run for equipment maximum Rate, PLl,t/PLl maxAs load factor of the equipment l in the t period, GlFor the increase-volume operating cost function of equipment l.
4-2. increases power transmission and transforming equipment increase-volume constraint in constraint condition:
Constraint condition:
Constraint 1 is power balance equation, Dm,tFor node m the t period workload demand.
Constraint 2 constrains for generated output, Pi maxAnd Pi minFor the minimum and maximum output power of generator i.
Constraint 3 constrains for cutting load.
Constraint 4,5 is power flow equation equality constraint, and A, KP, KD are constant matrices relevant to network topology.M be punishment because Son, Il,tOperating status for equipment l in the t period, 1 is operates normally, and 0 stops transport for failure, is sampled and is determined by system mode.
Traditional Line Flow security constraint is most importantly changed to the variable Line Flow of rated capacity and pacified by constraint 6 Staff cultivation, wherein klFor the maximum increase-volume load factor of equipment l.Jl,tFor equipmentlIt is run in the increase-volume state of t period, 1 for increase-volume, 0 runs for not increase-volume.
7-11 is constrained as power transmission and transforming equipment increase-volume constraint.Wherein, gl,t(hl,t) it is that equipment increase-volume starting (end) indicates, 1 Indicate that equipment l starts (end) increase-volume operational process in the t period.For the maximum increase-volume number of run of equipment l.Tl maxTo set The lasting increase-volume runing time of standby l, Jl,tFor equipment l the t period increase-volume state
Wherein, unit generation cost function Fi, equipment increase-volume operating cost function Gl, linearized or indexed linearisation Processing, entire optimization problem are a MIXED INTEGER linear optimization problem, and having mature derivation algorithm can be solved.
Step 5 judges whether the convergence conditions for meeting Monte Carlo circulation, goes to step 6 if meeting, if being unsatisfactory for turning To step 3.
The coefficient of variation of selection target function of the present invention as judge Monte Carlo circulation whether convergent criterion, specific meter Calculation method is as follows:
Wherein cv is coefficient of variation, and ns is Monte Carlo cycle-index, ckIt is excellent that collaboration is solved for kth time Monte Carlo circulation Change the target function value of model, caveFor the average value for the objective function that first ns times circulation solves.If coefficient of variation cv < 0.05 is recognized Meet convergence conditions for Monte Carlo circulation, conversely, being unsatisfactory for.
Step 6, iteration terminate, and obtain system call decision scheme library and economic index expectation.
Present invention proposition Unit Combination cooperates with Optimized model with power transmission and transforming equipment increase-volume plan, from the angle of the system overall situation Deploy the increase-volume service ability of power transmission and transforming equipment.The model is added in the Optimization of Unit Commitment By Improved (SCUC) of traditional security constraint Power transmission and transforming equipment increase-volume constraint, while equipment increase-volume operating cost being added in objective function, it optimizes.It is even more important , the maximum working capacity of equipment can change in model proposed by the invention.This method can guarantee power grid The safety of operation, while pursuing good economy.

Claims (4)

1. a kind of dispatch the power transmission and transforming equipment dynamic compatibilization method mutually cooperateed with Unit Combination, it is characterised in that including following step It is rapid:
Step 1 establishes the differential equation, calculates under security constraint, and the maximum increase-volume of transmission line of electricity and transformer runs load factor;
Step 2, in terms of transmission losses and equipment life lose two, quantum chemical method power transmission and transforming equipment increase-volume operating cost obtains Power transmission and transforming equipment increase-volume operating cost curve under to different loads rate;
Step 3 obtains the when sort run shape of individual equipment using receiving-refusal sampling method according to power transmission and transformation equipment failure rate State, combination obtain the timing operating status of system;
Step 4, solution Unit Combination cooperate with Optimized model with power transmission and transforming equipment increase-volume plan, obtain under the system running state Operation plan and economic index;
Step 5 judges whether the convergence conditions for meeting Monte Carlo circulation, step 6 is gone to if meeting, if being unsatisfactory for going to step Rapid 3;
Step 6, iteration terminate, and obtain system call decision scheme library and economic index expectation;
Step 1 specific implementation includes the following steps:
1-1. uses transformer dynamic compatibilization model, and calculating transformer hot(test)-spot temperature is specific as follows:
Δθh=Δ θh1-Δθh2
θha+Δθ0+Δθh
Wherein, θhFor actual hot spot temperature, θaFor environment temperature, K is load factor, and Δ indicates that variable quantity, t indicate the time, and d is micro- Divide operator, R, τw、τ0、x、y、k11、k21And k22For parameter related with transformer;Set the value of hot(test)-spot temperature, it will be able to calculate Transformer maximum increase-volume load factor;The transformer dynamic compatibilization model can quantify load factor and environment temperature to transformer winding The influence of hot(test)-spot temperature;
The power transmission line dynamic capacity increase model that 1-2. is used, the conductor temperature of computing electric power line are specific as follows:
Wherein, m is transmission line of electricity quality, CpFor route specific heat capacity, TcFor conductor temperature, t is the time, and d indicates differential operator, Qj、 Qs、Qr、QcRespectively indicate a joule heat production power, solar radiation power, heat loss through radiation power and heat loss through conduction power;The power transmission line Road dynamic compatibilization model can quantify the influence of load factor and environment temperature to conductor temperature.
2. a kind of power transmission and transforming equipment dynamic compatibilization method mutually cooperateed with Unit Combination scheduling according to claim 1, It is characterized in that step 2 specific implementation includes the following steps:
2-1. transformer increase-volume operational process economic index calculation method is as follows:
Ct_p=(P0+K2Pk)Pin
Wherein, Ct_pFor transformer transmission losses, P0For transformer noload losses, PkFor transformer load loss, PinFor power generation electricity Valence;
Wherein, Ct_lifeFor transformer life loss, vtIt is transformer with respect to aging speed, L0For design of transformer service life, TpriceFor transformer price;BtFor empirical, θ0To design hot(test)-spot temperature, θhFor actual hot spot temperature;
Ct_total=Ct_p+Ct_life
Wherein, Ct_totalTotle drilling cost, including transmission losses C are run for transformer increase-volumet_pWith life loss Ct_lifeTwo parts;
2-2. transmission line of electricity increase-volume operational process economic index calculation method is as follows:
Cl_p=I0 2K2RgPin
Wherein, Cl_pFor the transmission losses of transmission line of electricity, I0For transmission line of electricity rated current, R is transmission line of electricity conductor resistance, Pin For the electricity price that generates electricity;
Wherein, Cl_lifeFor transmission line of electricity life loss, vlIt is transmission line of electricity with respect to aging speed, L0For Transmission Line Design use Service life, LpriceFor transmission line of electricity price;Bl, m be empirical, TiTo design conductor temperature, TlFor practical conductor temperature;
Cl_total=Cl_p+Cl_life
Cl_totalTotle drilling cost, including transmission losses C are run for transmission line of electricity increase-volumel_pWith life loss Cl_lifeTwo parts;
The increase-volume operation totle drilling cost of transformer and transmission line of electricity includes two parts of transmission losses and life loss, but it is counted Calculation method is slightly different;According to defined above, the operation of the transformer under different loads rate and transmission line of electricity can be calculated Cost curve.
3. a kind of power transmission and transforming equipment dynamic compatibilization method mutually cooperateed with Unit Combination scheduling according to claim 2, It is characterized in that step 4 specific implementation includes the following steps:
4-1. increases power transmission and transforming equipment increase-volume cost in objective function;
Wherein, objective function includes unit generation cost, cutting load cost and power transmission and transforming equipment increase-volume operating cost;Pi,tFor Generated energy of the unit i in the t period, FiFor the cost of electricity-generating function of unit i;LSm,tCutting load amount for node m in the t period, For cutting load cost;PLl,tEffective power flow for power transmission and transforming equipment l in the t period, PLl maxPower, PL are run for equipment maximuml,t/ PLl maxAs load factor of the equipment l in the t period, GlFor the increase-volume operating cost function of equipment l;
4-2. increases power transmission and transforming equipment increase-volume constraint in constraint condition:
Constraint condition:
Constraint 1 is power balance equation, Dm,tFor node m the t period workload demand;
Constraint 2 constrains for generated output,WithFor the minimum and maximum output power of generator i;
Constraint 3 constrains for cutting load;
Constraint 4,5 is power flow equation equality constraint, and A, KP, KD are constant matrices relevant to network topology;M is penalty factor, Il,tOperating status for equipment l in the t period, 1 is operates normally, and 0 stops transport for failure, is sampled and is determined by system mode;
Traditional Line Flow security constraint is most importantly changed to the variable Line Flow safety of rated capacity about by constraint 6 Beam, wherein klFor the maximum increase-volume load factor of equipment l;Jl,tIncrease-volume state for equipment l in the t period, 1 runs for increase-volume, and 0 is Not increase-volume operation;
7-11 is constrained as power transmission and transforming equipment increase-volume constraint;Wherein, gl,t(hl,t) it is equipment increase-volume starting or end mark, 1 indicates Equipment l starts or terminates increase-volume operational process in the t period;For the maximum increase-volume number of run of equipment l;Tl maxFor equipment l's Continue increase-volume runing time, Jl,tFor equipment l the t period increase-volume state
Wherein, unit generation cost function Fi, equipment increase-volume operating cost function Gl, linearization process is linearized or is indexed, Entire optimization problem is a MIXED INTEGER linear optimization problem, and having mature derivation algorithm can be solved.
4. a kind of power transmission and transforming equipment dynamic compatibilization method mutually cooperateed with Unit Combination scheduling according to claim 3, It is characterized in that step 5 specific implementation includes the following steps:
The coefficient of variation of selection target function as judge Monte Carlo recycle whether convergent criterion, circular is such as Under:
Wherein cv is coefficient of variation, and ns is Monte Carlo cycle-index, ckCollaboration optimization mould is solved for kth time Monte Carlo circulation The target function value of type, caveFor the average value for the objective function that first ns times circulation solves;If coefficient of variation cv < 0.05 is thought to cover Special Carlow circulation meets convergence conditions, conversely, being unsatisfactory for.
CN201710182880.2A 2017-03-24 2017-03-24 It is a kind of to dispatch the power transmission and transforming equipment dynamic compatibilization method mutually cooperateed with Unit Combination Active CN107039971B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710182880.2A CN107039971B (en) 2017-03-24 2017-03-24 It is a kind of to dispatch the power transmission and transforming equipment dynamic compatibilization method mutually cooperateed with Unit Combination

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710182880.2A CN107039971B (en) 2017-03-24 2017-03-24 It is a kind of to dispatch the power transmission and transforming equipment dynamic compatibilization method mutually cooperateed with Unit Combination

Publications (2)

Publication Number Publication Date
CN107039971A CN107039971A (en) 2017-08-11
CN107039971B true CN107039971B (en) 2019-07-16

Family

ID=59533770

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710182880.2A Active CN107039971B (en) 2017-03-24 2017-03-24 It is a kind of to dispatch the power transmission and transforming equipment dynamic compatibilization method mutually cooperateed with Unit Combination

Country Status (1)

Country Link
CN (1) CN107039971B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109599893B (en) * 2018-12-05 2022-04-05 国网辽宁省电力有限公司大连供电公司 Load recovery algorithm considering photovoltaic and energy storage

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105528466A (en) * 2014-09-28 2016-04-27 国家电网公司 Wind power optimal planning modeling method considering adaptability and economy of power system

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105528466A (en) * 2014-09-28 2016-04-27 国家电网公司 Wind power optimal planning modeling method considering adaptability and economy of power system

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
一种计及主变可载性约束的三阶段配电网供电能力实时评估方法;张行等;《电网技术》;20160831;第40卷(第8期);2430-2435

Also Published As

Publication number Publication date
CN107039971A (en) 2017-08-11

Similar Documents

Publication Publication Date Title
Kim et al. Reactive power ancillary service of synchronous DGs in coordination with voltage control devices
Wang et al. Coordinated control of distributed energy-storage systems for voltage regulation in distribution networks
Ma et al. Optimal allocation of hybrid energy storage systems for smoothing photovoltaic power fluctuations considering the active power curtailment of photovoltaic
CN103151795B (en) Scattered-type wind power plant reactive power optimization control method capable of reducing fan losses and system
CN104935073A (en) Method for improving power system stability by using large wind farm STATCOM centralized hierarchical decentralized coordination control
CN110912177A (en) Multi-objective optimization design method for multi-terminal flexible direct current power transmission system
CN111416340A (en) Regional comprehensive energy system optimization control method based on practical security domain
Liao et al. Distributed optimal active and reactive power control for wind farms based on ADMM
Meegahapola et al. Optimal allocation of distributed reactive power resources under network constraints for system loss minimization
CN111799838A (en) Feeder distribution-based distributed photovoltaic absorption capacity analysis method
CN108832649B (en) Operating point optimization-based true bipolar flexible direct-current power grid coordination control method
CN107039971B (en) It is a kind of to dispatch the power transmission and transforming equipment dynamic compatibilization method mutually cooperateed with Unit Combination
Rahman et al. Localization of FACTS devices for optimal power flow using Genetic Algorithm
CN109617086A (en) A kind of power grid dynamic passive compensation equipment coordination control system and method
Liu et al. Smart-grid-enabled distributed reactive power support with conservation voltage reduction
CN110011298A (en) A kind of operation control strategy constructing the restructural microgrid group system of Autonomous Model
Li et al. Active and reactive power coordinated optimization of active distribution networks considering dynamic reconfiguration and SOP
An et al. Enhance transient voltage stability by retrofitting thermal power unit to synchronous condenser
Makinde et al. Over-voltage problem in distribution network with DG: A review of mitigation techniques
Luo et al. Online emergency control and corrective control coordination strategy for UHVDC blocking faults
Tan et al. Multi-objective optimal power flow model for power system operation dispatching
Kumar et al. Communication-free approach for frequency support in the mtdc grids-a comparative study
Strezoski et al. DMS-basis for increasing of green distributed generation penetration in distribution networks
CN105607480A (en) Gateway flow control system for intelligent power grid
Mohamad et al. Feasibility study of an intentional islanding operation with a new adaptive load shedding

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