CN109462232A - A kind of energy conservation optimizing method of power distribution network - Google Patents
A kind of energy conservation optimizing method of power distribution network Download PDFInfo
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- CN109462232A CN109462232A CN201811393234.1A CN201811393234A CN109462232A CN 109462232 A CN109462232 A CN 109462232A CN 201811393234 A CN201811393234 A CN 201811393234A CN 109462232 A CN109462232 A CN 109462232A
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- 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]
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- 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
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- 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
Abstract
The invention discloses a kind of energy conservation optimizing methods of power distribution network, based on its reducing energy consumption scheme by existing power distribution network, power distribution network reducing energy consumption cost-benefit model is established based on power distribution network overall life cycle cost and decreasing loss benefit, and based on this, obtain power distribution network reducing energy consumption prioritization scheme and power distribution network energy-saving run scheme, it uses overall life cycle cost, has comprehensively considered all expenses in scrap build overall process when establishing power distribution network reducing energy consumption cost-benefit model；Constraint is carried out when the objective function to power distribution network reducing energy consumption cost optimization model solves to handle, and becomes using fixed investment volume as the function of main constraints, people is facilitated to obtain optimal modification scheme according to limited investment；Moreover, the overall situation becomes, excellent model has comprehensively considered tunable source, lotus resource multivariate resource, improves the feasibility of the power distribution network energy-saving run scheme to a certain extent.
Description
Technical field
The present invention relates to power distribution network field of energy-saving technology more particularly to a kind of energy conservation optimizing methods of power distribution network.
Background technique
Electric energy is secondary energy sources made of being converted as non-renewable energy, is converted into mechanical energy, thermal energy, magnetic with can be convenient
The other forms energy such as energy, luminous energy and chemical energy.And with the development of society, electric energy has been applied to people's production and living
Every field.Moreover, because a national electric power development level, which has become, measures its economy, technology, culture and life hair
Open up horizontal important symbol, therefore, countries in the world especially industrially developed country, pay much attention to electric energy exploitation, using,
Save and management, to by technological progress, rationally utilize, scientific management and energetically save etc. approach, disappeared with the smallest electric energy
Consumption obtains maximum economic benefit, and then since its unique advantage becomes, economy is best, the highest way of efficiency for energy conservation
One of diameter.
For power grid enterprises, the emphasis of energy-saving and emission-reduction work reduces electric energy loss, and electric energy loss generation is main
The reason is that electric energy by it is defeated, become, match, in four-stage, missed due to power equipment there are impedance and due to measuring equipment
Difference and mismanagement etc. are lost caused by reasons, and existing distribution network electric energy loss is larger, account for about the 50% of power grid total losses with
On, therefore, for distribution enterprise, it is necessary for reducing grid loss.
Summary of the invention
For overcome the deficiencies in the prior art, technical problem solved by the invention be to provide a kind of power distribution network energy conservation it is excellent
Change method is imitated based on the reducing energy consumption scheme of existing power distribution network based on power distribution network overall life cycle cost and decreasing loss
Benefit establishes power distribution network reducing energy consumption cost-benefit model, and based on this, has obtained power distribution network reducing energy consumption prioritization scheme
With power distribution network energy-saving run scheme, so that the determination for the reducing energy consumption scheme and energy-saving run scheme of power distribution network provides branch
Support.
In order to solve the above technical problems, the technical solution adopted in the present invention content is specific as follows:
A kind of energy conservation optimizing method of power distribution network, includes the following steps:
S1: it obtains power distribution network reducing energy consumption scheme and establishes Candidate Set；
S2: for each of Candidate Set power distribution network reducing energy consumption scheme, based on power distribution network overall life cycle cost and
Decreasing loss benefit establishes power distribution network reducing energy consumption cost-benefit model；
S3: being based on power distribution network reducing energy consumption cost-benefit model, with fixed investment volume, system load flow constraint, node voltage
Constraint, idle configuration constraint, distribution line transformation constraint and improving distribution transformer are constrained to constraint condition, establish distribution
Net reducing energy consumption cost-effectiveness Optimized model；
S4: using power distribution network reducing energy consumption cost-effectiveness Optimized model described in PSO Algorithm, power distribution network section is obtained
It can transformation and optimization scheme；
S5: it is based on power distribution network reducing energy consumption cost-benefit model, utilizes the power supply power producing characteristics of power distribution network, Demand Side Response
The overall situation of characteristic and electric network composition establishing becomes excellent model；
S6: the overall situation is solved using optimization algorithm and is become excellent model, power distribution network energy-saving run scheme is obtained.
Further, the power distribution network reducing energy consumption scheme includes Energy Saving for Distribution Transformer modification scheme, distribution line section
It can modification scheme and distribution network var compensation scheme.
Further, the model of the power distribution network overall life cycle cost are as follows:
LCC=CI+CO+CM+CF+CD；
Wherein: LCC is distribution network transform overall life cycle cost；CIFor distribution network transform cost of investment；COChange for power distribution network
Make operation expense；CMFor the distribution network transform cost of overhaul；CFFor distribution network transform loss of outage cost；CDChange for power distribution network
Manufacturing apparatus residual value.
It further, in step s 4 further include being gone to the power distribution network reducing energy consumption cost-effectiveness Optimized model
The step of constraint processing, the objective function specifically is added to using the constraint condition other than fixed investment volume as penalty term
In.
Further, the energy conservation optimizing method of the power distribution network, which is characterized in that in step s 4, the optimization algorithm
Solving power distribution network reducing energy consumption Optimized model is to utilize particle swarm optimization algorithm power distribution network reducing energy consumption Optimized model.
Further, in step s 4, become excellent model including as follows using the overall situation described in particle swarm optimization algorithm
Step:
S41: parameter value is determined；
S42: the position and speed of particle is initialized；
S43: it calculates the adaptive value of particle and updates data base；
S44: with the small particle of adaptive value in the memory particle replacement population in data base；
S45: the speed of more new particle and position；
S46: judge whether to meet the condition of convergence, be such as unsatisfactory for the condition of convergence, then return step S43；Such as meet convergence item
Part then obtains power distribution network reducing energy consumption prioritization scheme.
Further, in step s 6, the overall situation is solved using optimization algorithm to become excellent model, obtain the energy conservation of power distribution network
Operating scheme is realized especially by following steps:
S61: optimize distribution net work structure using the method for power distribution network static reconfiguration；
S62: the distribution net work structure based on optimization is assisted using tunable source, lotus resource of the particle swarm algorithm to power distribution network
Tuning obtains the initial energy-saving run scheme of power distribution network；
S63: being based on distribution net work structure and initial energy-saving run scheme, is carried out using particle swarm algorithm to reactive-load compensation equipment
Optimization, obtains the energy-saving run scheme of power distribution network.
Compared with prior art, the beneficial effects of the present invention are:
The energy conservation optimizing method of power distribution network disclosed by the invention is establishing power distribution network reducing energy consumption cost-benefit model
When, overall life cycle cost is used, has comprehensively considered all expenses in scrap build overall process, more comprehensively；Moreover,
When solving power distribution network reducing energy consumption cost optimization model, constraint is carried out to its objective function and is handled, so that the power grid section
The objective function of energy improvement cost Optimized model becomes using fixed investment volume as the function of main constraints, facilitates people's root
Optimal modification scheme is obtained according to limited investment；Moreover, the overall situation of the present invention becomes, excellent model has comprehensively considered adjustable
Source, lotus resource multivariate resource, improve the feasibility of the power distribution network energy-saving run scheme to a certain extent.
The above description is only an overview of the technical scheme of the present invention, in order to better understand the technical means of the present invention,
And it can be implemented in accordance with the contents of the specification, and in order to allow above and other objects, features and advantages of the invention can
It is clearer and more comprehensible, it is special below to lift preferred embodiment, and cooperate attached drawing, detailed description are as follows.
Detailed description of the invention
Fig. 1 is the flow diagram of the energy conservation optimizing method of power distribution network of the present invention；
Fig. 2 is the simplified schematic diagram of distribution net work structure by taking I EEE-69 node as an example.
Specific embodiment
It is of the invention to reach the technical means and efficacy that predetermined goal of the invention is taken further to illustrate, below in conjunction with
Attached drawing and preferred embodiment, to specific embodiment, structure, feature and its effect according to the present invention, detailed description are as follows:
The energy conservation optimizing method of power distribution network of the present invention as shown in Fig. 1, includes the following steps:
S1: it obtains power distribution network reducing energy consumption scheme and establishes Candidate Set；
S2: for each of Candidate Set power distribution network reducing energy consumption scheme, based on power distribution network overall life cycle cost and
Decreasing loss benefit establishes power distribution network reducing energy consumption cost-benefit model；
S3: being based on power distribution network reducing energy consumption cost-benefit model, with fixed investment volume, system load flow constraint, node voltage
Constraint, idle configuration constraint, distribution line transformation constraint and improving distribution transformer are constrained to constraint condition, establish distribution
Net reducing energy consumption cost-effectiveness Optimized model；
S4: using power distribution network reducing energy consumption cost-effectiveness Optimized model described in PSO Algorithm, power distribution network section is obtained
It can transformation and optimization scheme；
S5: it is based on power distribution network reducing energy consumption cost-benefit model, utilizes the power supply power producing characteristics of power distribution network, Demand Side Response
The overall situation of characteristic and electric network composition establishing becomes excellent model；
S6: the overall situation is solved using optimization algorithm and is become excellent model, power distribution network energy-saving run scheme is obtained.
In the present invention, the power distribution network reducing energy consumption scheme includes Energy Saving for Distribution Transformer modification scheme, distribution line
Reducing energy consumption scheme and distribution network var compensation scheme.
It should be understood that overall life cycle cost (LCC) is the long-term economic benefit from equipment or project, comprehensively
Consider equipment or item goal programming, design, manufactures, purchases, installing, debugging, running, safeguarding, being transformed, updating up to scrapping
Overall process makes a kind of the smallest management philosophy of overall life cycle cost and method under the premise of meeting reliability.Power technology
Reforming equipment LCC refers to equipment from the expense summation needed to retired entire period that puts into operation, it is often several times as much as equipment purchasing
Expense.In conjunction with the characteristics of electric system itself, power technology reform project equipment Life Cycle Cost include equipment investment expense,
Equipment running cost and maintenance expense, loss of outage take, equipment remaining (residual value) is taken etc..Therefore, the expense of overall life cycle cost is simultaneously
More than occur in initial stage of investment, but chronologically occurs in entire life cycle.
Overall life cycle cost is a kind of with theory of overall importance and systematic, can be to equipment in entire life cycle
The composition and its influence factor of general expenses are analyzed with making comprehensive system.In the Life Cycle Cost of equipment, acquisition expenses
Shared ratio rises year by year, and in most cases, and the expense of purchase of equipment is lower than the maintenance of life cycle management
Take, the residual value of usual equipment is again very low, so when considering equipment investment, it is contemplated that the life cycle management of equipment
Expense, without should only consider its initial prices.
Since to be related to expense item numerous for power distribution network reducing energy consumption cost, equipment purchasing installation cost is in transformation initial period
It generates, equipment operating cost, overhaul of the equipments cost occurrence are scrapped cost of disposal generation and set in whole equipment use process
When standby end-of-life, several cost occurrence time spans are larger, therefore, during power distribution network reducing energy consumption Optimized model
Consider that Life cycle cost has a very important role.
Specifically in the present invention, the model of the power distribution network overall life cycle cost are as follows:
LCC=CI+CO+CM+CF+CD
Wherein: LCC is distribution network transform overall life cycle cost；CIFor distribution network transform cost of investment；COChange for power distribution network
Make operation expense；CMFor the distribution network transform cost of overhaul；CFFor distribution network transform loss of outage cost；CDChange for power distribution network
Manufacturing apparatus residual value.
(1) equipment investment cost CI
Equipment investment expense occurs to consider from time value of money angle at life cycle initial stage, belong to fund time valence
Present worth in value is translated into equal years value are as follows:
C in formulaIPFor distribution network transform investment cost；N is service life of equipment, and unit is year；I is discount rate.
(2) equipment O&M cost CO
Operation expense in equipment operation and maintenance expenses, that is, equipment is annual, comprising whole costs of labor and material cost, and
The running wastage generated in assets year operational process, specifically:
1) O&M is artificial, material cost CP: refer to that equipment needs regularly walkaround inspection, the cleaning that has a power failure to examine in operation
It looks into and seasonal rolling inspection, therefore corresponding cost of labor and mechanical one-shift and material cost will be generated.
CP=NP×HPV×Ch+Cm
N in formulaPFor operations staff's quantity；HPVFor working hour in year；ChFor time cost；CmFor material cost.
2) equipment running wastage takes CL: refer to that equipment running wastage expense refers mainly to equipment in the process of running because of power loss
The expense of generation, including constant power cost depletions and variable power cost depletions, in which: variable power loss is mainly needle
For transformer and route, the switchgears variable power such as on-pole switch, switching station is lost negligible.
(3) overhaul of the equipments cost CM
According to electric equipment maintenance system, maintenance cycle, maintenance cost of many power equipments etc. are relatively stable, then equipment
The mathematical model of maintenance cost are as follows:
In formula: CMFor annual operation and maintenance expense；NjmFor the annual maintenance frequency of jth class component；CjmFor averagely each maintenance cost
With can be obtained by a large amount of data statistic analysis.
(4) loss of outage cost CF
Interruption cost refers mainly to stop transport due to equipment fault, maintenance to loss of outage caused by user security risk.To equipment into
The reliability index of the equipment can be obtained in row Calculation of Reliability, especially lacks power supply figureofmerit EENS, and then calculate equipment
The interruption cost of each load point caused by failure.Its mathematical model is as follows:
Year caused by equipment fault, interruption cost can be represented by the formula:
EENSjt=Ujt×Ejt
LP is load point sum in formula；TjThere is T for load point jjKind interruption duration classification；EENSjtFor load point j
The corresponding power loss amount of t interruption duration；CLOssjtFor the corresponding unit loss of outage of load point j t interruption duration, examine
Improper power failure is considered to factors such as the compensation of power consumer, and power failure cost is calculated according to 2 times of power supply enterprise's loss of income；
UjtFor load point j in time t corresponding degree of unavailability；EjtIt is conveyed for load point j t interruption duration by the equipment
Electricity；CLFor the interruption cost that system is annual.
Equipment is in longtime running, since its service life is in " RUN " and " stoppage in transit " two states, then the meter of degree of unavailability U
Calculate formula are as follows:
λ is equipment failure rate in formula；γ is equipment mean repair time；μ is equipment repair rate.
(5) remanent value of equipment CD
In general, certain class equipment scraps cost of disposal CD1, can be according to previous empirically determined for definite value, and equipment is residual
Value CD2It needs specifically to analyze, the two is summed it up, the as equipment scraps cost of disposal CD.Due to power equipment residual value very
Greatly, therefore equipment scrapping cost of disposal is often negative value.
Should be noted to be usually to evaluate when evaluating remanent value of equipment according to current market conditions, therefore, it is considered that equipment
Residual value is the same with equipment investment expense, occurs to belong to present worth at plant life cycle initial stage, therefore is translated into and waits years value, i.e.,
Are as follows:
In the present invention, the objective function of the power distribution network reducing energy consumption cost-effectiveness Optimized model are as follows: max ∑ (Δ AT
+ΔAL+ΔAQ), in which: Δ ATThe decreasing loss benefit obtained for improving distribution transformer；ΔALIt is obtained for distribution line transformation
Decreasing loss benefit；ΔAQThe decreasing loss benefit obtained is transformed for distribution network var compensation, when specifically calculating: first by comparing transformation
The loss that the calculation of tidal current of front and back is reduced it, then multiplied by the decreasing loss benefit of net electricity price both available power distribution network.
In the present invention, the fixed investment volume constraint are as follows:
CT+CL+CQ≡C
In formula, CTFor Energy Saving for Distribution Transformer investment for trnasforming urban land volume；CLFor distribution line reducing energy consumption investment；CQFor distribution
Net reactive compensation investment；C is gross investment, is a definite value.
Consider under engineering practice, partial decision variable is integer, and such as newly-increased distribution transformer number of units increases idle benefit newly
Repay points etc..So investment is difficult in strict conformity with identical condition, but can be approximately equal in a certain range, it can
Fixed investment volume is constrained and is blurred, to obtain maximum cost of investment benefit.
Based on engineering reality, fixed investment volume is constrained and is modified are as follows:
Wherein, α, β are the value of two parameters depending on actual conditions.
The system load flow constraint are as follows:
In formula, Δ Pi、ΔQiIt is uneven for the active power amount of unbalance and reactive power of node i；For node i
The active power and reactive power of injection；Gij、BijConductance and susceptance respectively between node i and node j；N is power distribution network
Total node number.
The node voltage constraint are as follows:
Vimin≤Vi≤Vimax
In formula, VimaxAnd ViminThe permitted upper voltage limit of respectively i-th of node and lower voltage limit.
The idle configuration constraint are as follows: since 10kV reactive-load compensation equipment is typically mounted on overhead line structures, there is maintenance
The problems such as maintenance workload is big and environmental constraints, pressure compensation points should not be excessive in route, is usually no more than 2-3 point, and
And reactive-load compensation equipment needs to meet the grouping switching maximum size and lower limit made by the requirement for compensating power factor, it may be assumed that
Qimin≤Qi≤Qimax
In formula, QimaxAnd QiminThe permitted upper voltage limit of respectively i-th of node and lower voltage limit；NMFor reactive compensation
Node collection；αF,m、αD,mThe logical variable that respectively whether node installs fixed compensation or grouping compensates；nMmaxFor middle pressure feeder line
Upper maximum compensation points.
Furthermore, it is contemplated that need to meet the requirement of Guidelines when restringing, and it cannot be too small, not so do not have energy conservation
Effect, can not be excessive, should line corridor limit or overhead line structures allow in the range of.In addition, to prevent " card
The phenomenon that neck ", when choosing conducting wire, should follow and flow through the biggish wire radius of electric current and should be greater than flowing through the lesser radius of electric current
The constraint condition of principle, track remodelling is shown below:
In formula: Dk、Dmin,k、Dmax,kThe respectively selected replacement line footpath of kth section lead, minimum consideration replacement line footpath, most end-of-term examination
Consider replacement line footpath；IkFor the load current of kth section lead；nLFor distribution line lead segments.
The present invention is according to distribution power system load flow calculation as a result, being ranked up according to electric current is descending to conducting line segment, to lead
The selection of line line footpath provides foundation.
The improving distribution transformer constraint are as follows: improving distribution transformer is mainly for highly energy-consuming distribution transforming and peak load rate
Excessively high distribution transforming, the improving distribution transformer method used is increase-volume replacement.During increase-volume replacement, the transformation newly replaced
Device capacity should be greater than former transformer, and peak load rate can be made to meet corresponding regulatory requirements, meanwhile, the transformer of replacement
Capacity should not be too large, and make transformer light running；Meanwhile the transformer capacity of replacement should be in the optional of national standard formulation
Within the scope of transformer capacity, therefore, improving distribution transformer constraint condition is as follows:
In formula, Sir、SitThe selected transformer capacity replaced of respectively i-th transformer, model；Sirmin、SirmaxRespectively
Allow the distribution transformer minimum capacity and maximum capacity replaced；A is the distribution transformer capacity set that national standard is formulated；B
The distribution transformer model set formulated for national standard；nTFor the number of units of distribution transformer.
It can thus be seen that power distribution network Reform for energy is the nonlinear programming problem of a multiple constraint, core is
How under limited investment, preferred reasonable power distribution network reducing energy consumption scheme out further includes matching to described in step s 4
The step of carrying out constraint processing of power grid reducing energy consumption cost-effectiveness Optimized model, specifically will be other than fixed investment volume
Constraint condition is added in the objective function as penalty term.
In the present invention, the expression formula of the penalty function are as follows:
From bound variable and penalty term:
By the constraint of PQ node voltage amplitude, the constraint of grouping dynamic compensation capacity, wire diameter constraint, transformer capacity constraint
Be converted into penalty term, take they and constitute penalty function, be added on former objective function, formed extension objective function.After engineered
Mathematical model by extension objective function and fixed investment volume constraint constitute.
In formula, P (V), P (Q), P (L), P (T) are respectively to change about node voltage, reactive compensation, track remodelling, transformer
The penalty term made；λV、λQ、λL、λTRespectively corresponding penalty factor；N is power distribution network number of nodes；nLFor distribution line lead point
Number of segment；nTFor distribution transformer number of units.
In conclusion the objective function and its constraint condition of the power distribution network reducing energy consumption cost-effectiveness Optimized model can be with
Conversion are as follows:
Thus by the mesh of the power distribution network reducing energy consumption cost-effectiveness Optimized model
The solution of scalar functions is converted into a complete knapsack problem.
In the present invention, the become objective function of excellent model of the overall situation is
Wherein: Pi, Qi, UiThe respectively active power, reactive power and voltage of branch i head end, RLiFor line impedance,
XLiFor line inductance.Pj, Qj, UjThe respectively active power of branch j head end, idle reactive power and voltage, RTjFor transformer
Impedance, XTjFor transformer inductance.N is route sum, and M is transformer sum, and T is time overall length.
In the present invention, for the overall situation becomes excellent model, constraint condition includes:
(1) system load flow constrains, specifically:
In formula,For the active power of node i, value size is related with the power output of the load of node i, distributed generation resource,
If node i there are photo-voltaic power supply:
In formula,For the payload of node i, unit kw；For the photovoltaic power output size of node i, unit
For kw.
(2) branch current constrains, specifically:
In formula, i=1,2 ... Nb, t=1,2 ... 24, Ii,maxFor the maximum allowed current of branch i.
(3) node voltage constrains, specifically:
In formula, i=1,2 ... Np, t=1,2 ... 24, Ui,min, Ui,maxFor branch i terminal voltage bound.
Since the solution of the objective function of the power distribution network reducing energy consumption cost-effectiveness Optimized model is converted into one completely
Therefore knapsack problem using power distribution network reducing energy consumption cost-effectiveness Optimized model described in PSO Algorithm, obtains distribution
Net reducing energy consumption prioritization scheme, is realized especially by following steps:
S41: it determines parameter value: determining population scale N, determine Studying factors c1And c2, and enable evolutionary generation k=0；
S42: initialize the position and speed of particle: the position of each particle by
I=1,2 ..., N
J=1,2 ..., n
Random to generate, wherein R (0,1) indicates the random number being randomly generated between [0,1]；
The speed of each particle by
It generates at random, wherein vmaxAnd vminIndicate maximum, the minimum limits value of speed；
S43: calculate the adaptive value of particle and update data base: in the present invention, the adaptive value of particle is what transformation obtained
Year economic well-being of workers and staff；
S44: with the small particle of adaptive value in the memory particle replacement population in data base；
S45: the speed of more new particle and position
S46: judge whether to meet the condition of convergence, be such as unsatisfactory for the condition of convergence, then return step S43；Such as meet convergence item
Part then obtains power distribution network Optimizing Reconstruction scheme.
In step s 6, the overall situation is solved using optimization algorithm to become excellent model, obtain the energy-saving run scheme of power distribution network
It is realized especially by following steps:
S61: optimize distribution net work structure using the method for power distribution network static reconfiguration.
In the present invention, using the method optimization distribution net work structure of power distribution network static reconfiguration especially by following steps reality
It is existing:
1) simplify distribution net work structure: the distribution net work structure as shown in Fig. 2 by taking I EEE-69 node as an example is simplified
Schematic diagram first analyzes the branch structure relationship of distribution network according to the characteristics of distribution net work structure, then gives and match
The elementary cycle of power grid, which carries out appropriate simplification to distribution network, can be obtained.
2) it carries out particle coding: switch changeable in power distribution network being encoded by two steps, first to each
All switches in a basic ring are numbered, and then the dimension in particle search space is the basic number of rings of network structure, such as scheme
There are 5 elementary cycles in 2, specifically:
Elementary cycle S1={ 13,14,15,16,17,18,19,69 }；
Elementary cycle S2={ 43,44,45,70,14,13,12,11,72 }；
Elementary cycle S3={ 4,5,6,7,8,52,53,54,55,56,57,58,71,49,48,47,46 }；
Elementary cycle S4={ 35,36,37,38,39,40,41,42,72,10,9,8,7,6,5,4,3 }；
Elementary cycle
S5=63,62,61,60,59,58,57,56,55,54,53,52,9,10,11,12,69,20,21,22,23,
24,25,26,73,64}。
Wherein, what is represented in bracket is branch number.
Assuming that if branch 19,44,55,41,60 disconnects, then coding form of this particle in search space is 7 | 2 |
9|7|4；The range of search space arrives size (Si) for 1, and size (Si) indicates switch set SiSize；By the history of individual
Optimal zbest is set as current location, and most the superior is current gbest in group.
3) initial population is generated
Some switch in first loop is set to disconnection by selection first, while the switch in other loops will be set
It is inoperable.Then some switch in second loop is set to disconnection by selection, by the switch in remaining loop
It is set to inoperable.It steps be repeated alternatively until that a particle has initialized at this time until having switch to disconnect in all loops
At.According to all particles of this procedure initialization.
4) population being made of composition of Switching State of Distribution Network is independent variable, and active power loss value is dependent variable and fitness function,
It carries out Load flow calculation and obtains active power loss value, and examine whether network is radial.
If 5) the excellent zbest of the current fitness function value of the particle, then with the zbest of particle position replacement script.
If 6) zbest of the particle is better than gbest, then replacing the gbest of the particle script with the zbest.
7) speed and position of each particle are updated, shown in formula specific as follows:
vi(k+1)=wvi(k)+c1r1(pi-xi(k))+c2r2(pg-xi(k))
xi(k+1)=xi(k)+vi(k+1)
In formula, piFor individual extreme value, pgFor all extreme values, w, c1, c2It is constant, vi(k), vi(k+1) it is respectively i-th
The speed of current particle, x when particle kth step, k+1 step iterationi(k)、xiIt (k+1) is that i-th particle kth step, k+1 are walked and changed respectively
For when position.
8) the number of iterations adds 1, if not reaching termination condition, goes to step 3, otherwise exports result and terminates, can obtain
To the distribution net work structure of optimization.
S62: the distribution net work structure based on optimization is assisted using tunable source, lotus resource of the particle swarm algorithm to power distribution network
Tuning obtains the initial energy-saving run scheme of power distribution network, realizes especially by following steps:
1) particle is encoded: the power of tunable source, lotus resource allocation is encoded first, the value of coding, that is, adjustable
The power that source, lotus resource are injected to power distribution network determines the value interval of coding according to given tunable source, lotus resource.
2) generate initial population: take tunable source, lotus resource node total number m be population dimension, successively use random letter
Several pairs of n particles encode, and can obtain the matrix variables of n × m, indicate the population in particle swarm algorithm.
It 3) is independent variable by the population that tunable source, lotus resource power form, active power loss value is dependent variable and fitness letter
Number carries out Load flow calculation and obtains active power loss value.
If 4) the excellent zbest of the current fitness function value of the particle, then with the zbest of particle position replacement script.
If 5) zbest of the particle is better than gbest, then replacing the gbest of the particle script with the zbest.
6) speed and position of each particle are updated, shown in formula specific as follows:
vi(k+1)=wvi(k)+c1r1(pi-xi(k))+c2r2(pg-xi(k))
xi(k+1)=xi(k)+vi(k+1)
In formula, piFor individual extreme value, pgFor all extreme values, w, c1, c2It is constant, vi(k), vi(k+1) it is respectively i-th
The speed of current particle, x when particle kth step, k+1 step iterationi(k)、xiIt (k+1) is that i-th particle kth step, k+1 are walked and changed respectively
For when position.
7) the number of iterations adds 1, if not reaching termination condition, goes to step 3, otherwise exports result and terminates, can obtain
To initial energy-saving run scheme.
S63: being based on distribution net work structure and initial energy-saving run scheme, is carried out using particle swarm algorithm to reactive-load compensation equipment
Optimization, obtains the energy-saving run scheme of power distribution network, realizes especially by following steps:
1) carry out particle coding: shunt capacitor switching group number and SVC device current value encoded, according to it is given simultaneously
Join condenser capacity and SVC device parameter determines the value interval of coding.
2) generate initial population: taking shunt capacitor and the node total number m of SVC equipment is population dimension, is successively used
Random function encodes n particle, can obtain the matrix variables of n × m, indicates the population in particle swarm algorithm.
It 3) is independent variable by the population that shunt capacitor and SVC equipment form, idle network loss value is dependent variable and fitness
Function carries out Load flow calculation and obtains idle network loss value.
If 4) the excellent zbest of the current fitness function value of the particle, then with the zbest of particle position replacement script.
If 5) zbest of the particle is better than gbest, then replacing the gbest of the particle script with the zbest.
6) speed and position of each particle are updated, shown in formula specific as follows:
vi(k+1)=wvi(k)+c1r1(pi-xi(k))+c2r2(pg-xi(k))
xi(k+1)=xi(k)+vi(k+1)
In formula, piFor individual extreme value, pgFor all extreme values, w, c1, c2It is constant, vi(k), vi(k+1) it is respectively i-th
The speed of current particle, x when particle kth step, k+1 step iterationi(k)、xiIt (k+1) is that i-th particle kth step, k+1 are walked and changed respectively
For when position.
7) the number of iterations adds 1, if not reaching termination condition, goes to step 3, otherwise exports result and terminates, can obtain
To energy-saving run scheme.
The above embodiment is only the preferred embodiment of the present invention, and the scope of protection of the present invention is not limited thereto,
The variation and replacement for any unsubstantiality that those skilled in the art is done on the basis of the present invention belong to institute of the present invention
Claimed range.
Claims (6)
1. a kind of energy conservation optimizing method of power distribution network, which comprises the steps of:
S1: it obtains power distribution network reducing energy consumption scheme and establishes Candidate Set；
S2: for each of Candidate Set power distribution network reducing energy consumption scheme, power distribution network overall life cycle cost and decreasing loss are based on
Benefit establishes power distribution network reducing energy consumption cost-benefit model；
S3: being based on power distribution network reducing energy consumption cost-benefit model, constrained with fixed investment volume, system load flow constraint, node voltage,
Idle configuration constraint, distribution line transformation constraint and improving distribution transformer are constrained to constraint condition, establish power distribution network energy conservation
Improvement cost Efficiency-optimized model；
S4: it using power distribution network reducing energy consumption cost-effectiveness Optimized model described in PSO Algorithm, obtains power distribution network energy conservation and changes
Make prioritization scheme；
S5: being based on power distribution network reducing energy consumption cost-benefit model, special using the power supply power producing characteristics of power distribution network, Demand Side Response
The overall situation of property and electric network composition establishing becomes excellent model；
S6: the overall situation is solved using optimization algorithm and is become excellent model, power distribution network energy-saving run scheme is obtained.
2. the energy conservation optimizing method of power distribution network as described in claim 1, which is characterized in that the power distribution network reducing energy consumption scheme
Including Energy Saving for Distribution Transformer modification scheme, distribution line reducing energy consumption scheme and distribution network var compensation scheme.
3. the energy conservation optimizing method of power distribution network as described in claim 1, which is characterized in that the power distribution network life cycle management at
This model are as follows:
LCC=CI+CO+CM+CF+CD；
Wherein: LCC is distribution network transform overall life cycle cost；CIFor distribution network transform cost of investment；COFor distribution network transform fortune
Row maintenance cost；CMFor the distribution network transform cost of overhaul；CFFor distribution network transform loss of outage cost；CDIt is set for distribution network transform
Standby residual value.
4. the energy conservation optimizing method of power distribution network as described in claim 1, which is characterized in that in step s 4 further include to described
The step of carrying out constraint processing of power distribution network reducing energy consumption cost-effectiveness Optimized model, specifically will be other than fixed investment volume
Constraint condition is added in the objective function as penalty term.
5. the energy conservation optimizing method of power distribution network as described in claim 1, which is characterized in that in step s 4, utilize population
Optimization algorithm solves the overall situation excellent model that becomes and includes the following steps:
S41: parameter value is determined；
S42: the position and speed of particle is initialized；
S43: it calculates the adaptive value of particle and updates data base；
S44: with the small particle of adaptive value in the memory particle replacement population in data base；
S45: the speed of more new particle and position；
S46: judge whether to meet the condition of convergence, be such as unsatisfactory for the condition of convergence, then return step S43；Such as meet the condition of convergence, then
Obtain power distribution network reducing energy consumption prioritization scheme.
6. the energy conservation optimizing method of power distribution network as described in claim 1, which is characterized in that in step s 6, calculated using optimization
Method solves the overall situation and becomes excellent model, and the energy-saving run scheme for obtaining power distribution network is realized especially by following steps:
S61: the method using power distribution network static reconfiguration simplifies distribution net work structure；
S62: based on simplified distribution net work structure, distribution net work structure is optimized using particle swarm algorithm；
S63: the distribution net work structure based on optimization carries out tunable source using particle swarm algorithm, lotus resource coordination optimizes；
S64: correcting initial value using power distribution network optimum results, and carry out the optimization of reactive loss and active loss, obtains final
Decreasing loss optimum results.
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