CN109149622A - Consider to lose power distribution network light/storage of load risk and plans isolated island collaborative planning method - Google Patents
Consider to lose power distribution network light/storage of load risk and plans isolated island collaborative planning method Download PDFInfo
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- CN109149622A CN109149622A CN201710450589.9A CN201710450589A CN109149622A CN 109149622 A CN109149622 A CN 109149622A CN 201710450589 A CN201710450589 A CN 201710450589A CN 109149622 A CN109149622 A CN 109149622A
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- 238000005553 drilling Methods 0.000 claims abstract description 11
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Classifications
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- H02J3/383—
-
- 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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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/50—Photovoltaic [PV] energy
- Y02E10/56—Power conversion systems, e.g. maximum power point trackers
-
- 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
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P80/00—Climate change mitigation technologies for sector-wide applications
- Y02P80/20—Climate change mitigation technologies for sector-wide applications using renewable energy
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Abstract
With the implementation of national new energy policy and power system reform, a large amount of distributed energies access power distribution network operation in a variety of forms.In order to guarantee the power supply reliability of power consumer, power grid enterprises need to consider the uncertainty of new energy, and provide for it necessary spare, but this reduces utilization rate of equipment and installations to a certain extent.In order to evade this negative effect, power distribution network should take the initiative operation reserve in case of a fault, and sufficiently scheduling distributed energy participates in fault recovery, could improve the load factor of distribution net equipment.The present invention is established to invest totle drilling cost minimum, lose the minimum multiple target of load risk, and voltage stabilization, trend are not got over the plan model that line etc. is constraint condition, solved using the multi-objective Evolutionary Algorithm based on NSGA-II.Photovoltaic, the addressing of energy-storage battery and constant volume in the range and isolated island of plan isolated island are considered in planning.By simulating, verifying, the validity of model built and method of the present invention.
Description
Technical field
The invention belongs to power distribution network multiple objective programming fields, are related to the addressing constant volume and plan isolated island model of photovoltaic and energy storage
The planning enclosed.
Background technique
With the implementation of national new energy policy and power system reform, a large amount of distributed energies access in a variety of forms matches
Operation of power networks；In order to guarantee the power supply reliability of power consumer, power grid enterprises need to consider the uncertainty of new energy, and mention for it
For necessary spare, but this reduces utilization rate of equipment and installations to a certain extent；In order to evade this negative effect, power distribution network should be
It takes the initiative under fault condition operation reserve, and sufficiently scheduling distributed energy participates in fault recovery, could improve distribution net equipment
Load factor；Therefore meter and new energy to the contribution of power grid and consider to lose load risk investigation power distribution network net source in case of a fault
Collaborative planning is of great significance；
In recent years, achieve certain achievement for the distribution network planning research containing distributed energy both at home and abroad, but there are still with
Lower problem:
(1) in objective function the processing of reliability index there are two types of method, one is will lose load loss be converted to reliability at
Originally it is included in objective function, another kind is but not consider that user loses the difference of load loss mostly using reliability index as multiple target
It is anisotropic；
(2) switch is not considered in planning, since isolated island formation probability and switchgear distribution position, isolated island internal loading and power supply are matched
Set all closely related, how much Simultaneous Switching configuration also relates to Electric Power Network Planning economy, therefore ignores switchgear distribution and will lead to rule
The economy and Calculation of Reliability precision drawn are insufficient.
Summary of the invention
When considering that user loses the otherness of load loss, photovoltaic access correlation in power distribution network is rationally advised
It draws, the condition that photovoltaic acts on power distribution network performance improvement is realized in sufficiently analysis, and it is flat with economic cost to take into account photovoltaic access amount
Weighing apparatus, meanwhile, to improve computational efficiency as target, practical mistake load Risk Calculation method is studied, reliability meter in planning is met
Calculate the demand of precision；
To achieve the goals above, technical solution proposed by the present invention is to consider to lose the power distribution network light/storage and plan of load risk
Isolated island collaborative planning method, it is characterised in that it including the following steps:
Step 1: establishing totle drilling cost at least and lose the minimum multiple objective function of load risk, with system safe and stable operation, reliably
Property etc. for constraint condition light/storage and switch Coordination and Optimization Model
(1) totle drilling cost includes cost of investment and distribution network loss expense, and cost of investment includes photovoltaic, energy storage, switch cost, is lost negative
Lotus risk integrative risk probability and Risk Results；
(2) constraint of system safety and stability includes trend constraint, node voltage constraint.Reliability constraint electricity shortage desired value table
Show；
Step 2: establishing based on the quick mistake load risk computation model for improving minimal path；
Step 3: establishing the optimization method of the net source cooperation model of the multi-objective genetic algorithm based on NSGA-II, obtain most
Excellent disaggregation, and therefrom choose suitable allocation plan.
Detailed description of the invention
1. Fig. 1 is NSGA-II optimization calculation flow chart.
2. Fig. 2 is distribution net topology schematic diagram.
3. Fig. 3 is load data.
4. Fig. 4 is Subscriber Unit interruption cost not of the same race.
5. the reliability index that Fig. 5 is element.
6. Fig. 6 is equipment investment parameter.
7. Fig. 7 is Pareto disaggregation.
8. Fig. 8 is Typical Disposition result in program results.
Specific embodiment
Step 1: it establishes totle drilling cost at least and loses the minimum multiple objective function of load risk, with system safe and stable operation,
Reliability etc. is the light/storage and switch Coordination and Optimization Model of constraint condition
Objective function:
(1) net source collaborative planning totle drilling cost is minimum
Net source collaborative planning totle drilling cost mostly come from photovoltaic, energy storage and switchgear investment cost and distribution operation at
This, considers time value on assets, and totle drilling cost can be indicated with formula (1)
(1)
In formula:C investFor cost of investment；C lossIt is power distribution network active power loss annual cost for network loss；It is respectively as follows:
(2)
In formula:C PV、C BESS、C CBRespectively photovoltaic, energy storage and switchgear investment cost；c lossFor unit cost of losses；P loss
For power distribution network active power loss；
Investment cost is specifically such as (3):
(3)
In formula: dFor discount rate；mFor life cycle；c PV、c BESS、c CBFor the unit capacity cost of photovoltaic power generation, energy-storage battery
EU Equivalent Unit capacity cost, the cost of single breaker；Ω PB、Ω CBThe respectively storage of installation light, switch candidate point set；ω
PV j、ωBESS,S jRespectivelyjDG capacity, stored energy capacitance at a node；x i 、x j For two-valued variable, 0 and 1 difference table is taken
Show and does not install and install equipment；
Wherein, EU Equivalent Unit capacity battery cost coefficient has comprehensively considered unit capacity cost and unit power cost；That is:
(4)
In formula:c S、 c PThe respectively cost of unit capacity battery, the cost of unit charge-discharge electric power；aFor photovoltaic charge and discharge
Power and photovoltaic capacity number ratios coefficient, value are determined according to battery size；
(2) load least risk is lost
User loses load risk and refers to that consideration equipment random fault causes power failure bring economic loss, is a dimensionless
Amount, combine failure occur a possibility that and severity, respectively with failure occur probability and economic loss indicate, wherein
Economic loss be load point lose load and unit-economy loss product, unit-economy loss mainly with interruption duration,
The classification of user is related；To sum up, objective function is as follows:
(5)
In formula:C LLoad risk is lost for power distribution network；MFor load point number；p k (i) it is to cause load pointkThe equipment of failureiEvent
Hinder probability；For equipmentiFailure causes load pointkThe severity of power failure；P k For load pointkPower；λ(i)、μ k (i) respectively
For equipmentiFailure rate and failure cause load pointkThe average time of power failure, calculation method are shown in step 2；F(L k , μ k (i)) it is to use
Family unit loss of outage function；L k For user type；
Constraint condition:
(1) system safety operation constrains
As shown in formula (6) and formula (7):
(6)
In formula:T overloadFor the circuit overload time；T totalFor total dry run time；
(7)
In formula:U i For nodeiThe voltage value at place；U minAndU maxRespectively lower voltage limit and upper voltage limit；
(2) reliability constraint
According to " distribution network planning designing technique directive/guide ", indicated using electricity shortage desired value；It is as follows:
(8)
In formula:E TIt is expected to lack power supply volume；E TmaxIt is expected to lack the power supply volume upper limit；
(3) position constraint between light storage and switch
(9)
In formula:Ωx kFor by switchingx kNode collection within the scope of determining microgrid；Ω' CB is the switch position set after planning；
(4) DG installed capacity constrains
(10)
In formula:ωPV max is the maximum capacity of standby Selection of setting DG；
(5) energy storage charge and discharge constrain
The service life of battery is related to depth of discharge, and overshoot over-discharge can all increase life of storage battery loss, so need to be to electric power storage
Pond charge-discharge electric power is constrained:
(11)
In formula:P BESS,in(t)、P BESS,out(t) it is respectively t moment charge and discharge power；
Energy storage charge state (SOC) constraint is as follows:
(12)
In formula:S SOC,maxWithS SOC,minRespectivelyS SOC (t) upper and lower bound；
Step 2: establishing based on the quick mistake load risk computation model for improving minimal path；
(1) meter and the isolated island probability and duration method for solving of photovoltaic power output and workload demand correlation
By finding out isolated islandlLight storage and energy storage can use power output can be at as isolated island greater than the time scale of load point demand in 1 year
The probability that function is formed, while an isolated island duration is asked at each moment, and 8760 isolated island duration in 1 year
Average value it is expected as the isolated island duration, is shown below；
(13)
(14)
Wherein:
(15)
In formula:tAt the time of expression in one day；P PV(t) inscribe photovoltaic and go out activity of force when being this；P L,k (t) it is the in isolated islandkIt is a negative
Lotus point demand power；N islandFor the isolated island internal loading point number；
IfI t =0, thenT batt,t =0；IfI t =1, then isolated island duration such as following formula:
(16)
In formula:S resFor failure occur the moment when energy storage residual capacity；
(2) quick calculation method of load risk is lost
Thought based on minimal path, formula (5) are represented by risk caused by the equipment of had an impact load point and equipment fault
The product of probability of happening is added, and needs to calculate influence of the equipment fault to load point power off time in risk, for planning isolated island model
Outer load point, corresponding minimal path and the non-minimum road equipment power output same conventional method of principle are enclosed, is planned negative in isolated island
Lotus point, the average time acquiring method for causing load point to have a power failure by equipment fault are as follows:
1) equipment on main minimal path, which is stopped transport, influences
If the equipmentiOutside plan isolated island range, stoppage in transit will affect island internal loadingk.If being successfully formed plan isolated island,
According to the expectation of isolated island duration and equipmentiFault time size relatively determines load pointkPower off time；If isolated island is formed
Fail, then load pointkPower off time is equipmentiFault time；That is:
(17)
In formula:ρ k For isolated island locating for load pointlIt is successfully formed the probability of isolated island；μIt (i) is equipmentiMean down time；T batt,l For isolated islandlIt can duration expectation；
If the equipment is within the scope of isolated island, if load point power off time is the element fault time also on DG minimal path,
I.e.μ k (i)=μ(i)；If unplanned isolated island, the equivalent power off time expectation of load point can be formed not on DG minimal path are as follows:
(18)
2) equipment stoppage in transit influences on non-master minimal path
If the equipment is to, without element is cut-off, which, which stops transport, influences situation with 1) to load point between nearest minimal path；Such as
Fruit, which exists, cut-offs element, then after Fault Isolation, load point can restore electricity, when load point power off time is isolator operation
Between, it may be assumed that
(19)
Step 3: establishing the optimization method of the net source cooperation model of the multi-objective genetic algorithm based on NSGA-II, obtain most
Excellent disaggregation, and therefrom choose suitable allocation plan
Specific step is as follows:
(1) system parameter and initialization of population；
The equipment such as battery, photovoltaic, power distribution network original topology information parameter in reading system；By using the uniformly random of classics
The continuous variable (PV, stored energy capacitance) of initial method generation first generation population:
(20)
In formula:ω u (v) indicate theuA initial individualsvThe value of a continuous variable；Rand between [0,1] be uniformly distributed with
Machine number；ω max(v)、ω min(v) it is thev The bound of a variable；v=1,2,...,D；DFor the dimension of optimization problem；
The discrete variable (light storage and the position of the switch) of population, which needs first to generate the position of the switch and generates light storage space again, to be set, will it is all alternatively
Mode is indicated with continuous discrete series, that is, identical uniformly random initial method can be used；
(2) from parent populationIn by selection, intersect and mutation operation obtain progeny population；
Binary coding is used to location information, real coding is used to capacity information, is put in order as all breakers before this
Position is together as genetic fragmentα;Then the corresponding photovoltaic capacity of each breaker, stored energy capacitance, light storage space are followed successively by
It sets, each section is as genetic fragmentβ 1, β 2If ... position s It is configured with breaker, corresponding genetic fragmentβ s Middle light storage
Position and capacity information can just be decoded；Selection operator uses tournament method, and match scale is 2；Crossover operator uses two
Point interleaved mode；Mutation operator is using uniformly variation mode.The optional range of variable position is genetic fragmentaAnd it is decodable
Genetic fragmentβ s ；
(3) it carries out Pareto layer sorting and calculates crowding distance
It calculates the net source collaborative planning totle drilling cost of each individual in progeny population and loses load risk；Parent and filial generation are merged
New population carries out Pareto layer sorting and in each layer of calculating crowding distance；
(4) it sorts by partial ordering relation, and selects filial generation
According to the partial ordering relation sequence between the individual of new population, select optimalNIndividual generates new parent populationP；Partial order
RelationshipnIt indicates are as follows:
(21)
In formula, u rank、 v rankRefer to individualu、vThe locating Pareto number of plies；P[u]distance、P[v]distanceRefer to individualu、vIt is poly-
Collect distance
(5) judge termination condition；
If satisfied, the optimum results that output is final, otherwise return to (3) step.
Sample calculation analysis
RBTSBus6 network main feeder F4 and its 3 branch feeders F5, F6 and F7 are chosen as research object, network structure part figure
1, application of the model of the present invention in above-mentioned example is realized using C# programming；
Assuming that breaker and equal 100% action message of fuse；The isolator operation time is 0.3h；Load data is shown in Fig. 2 and figure
3, the failure rate of each element and mean repair time see Fig. 4；The cost of investment of photovoltaic, energy storage and breaker is shown in Fig. 5, and BESS is with new
For emerging sodium-sulphur battery, according to its physical characteristic, the ratio of rated power and rated capacityaIt is taken as 1/6；Photovoltaic, energy storage, open circuit
The life cycle of device is 20 years, discount rate 10%；
Result is as shown in fig. 6, the inside Typical Disposition is as shown in Figure 7 after collaboration Optimized model optimization used of the invention.It can be according to need
It selects.
Claims (4)
1. consider to lose power distribution network light/storage of load risk and plans isolated island collaborative planning, it is characterized in that the method, including it is following
Three steps:
Step 1: establishing totle drilling cost at least and lose the minimum multiple objective function of load risk, with system safe and stable operation, reliably
Property etc. for constraint condition light/storage and switch Coordination and Optimization Model
Step 2: it establishes based on the quick mistake load risk computation model for improving minimal path:
Step 3: establishing the optimization method of the net source cooperation model of the multi-objective genetic algorithm based on NSGA-II, obtain most
Excellent disaggregation, and therefrom choose suitable allocation plan.
2. being mainly characterized by net source collaborative planning totle drilling cost according to the method for step 1 in right 1 and losing load risk model
(1) net source collaborative planning totle drilling cost mostlys come from the investment cost and distribution operation of photovoltaic, energy storage and switchgear
Cost, power distribution network operating cost are indicated with power distribution network active power loss annual cost；
(2) a possibility that load risk integrative failure occurs and severity are lost, respectively with the probability and economy of failure generation
Loss indicates；
Wherein economic loss is the product that load point loses load and unit-economy loss, and unit-economy loss is mainly held with power failure
Continuous time, the classification of user are related.
3. being mainly characterized by according to the method for step 2 in right 1 based on the quick mistake load Risk Calculation mould for improving minimal path
Type
(1) photovoltaic power output and workload demand curve in 1 year future of estimation, calculate isolated island probability and duration in distribution；
(2) load point that load point is divided into outside plan isolated island and in plan isolated island is calculated into its minimal path for each load point
The average time for causing load point to have a power failure with non-minimum road equipment fault.
4. being mainly characterized by according to the method for step 3 in right 1 based on the quick mistake load Risk Calculation mould for improving minimal path
Type
Optimization problem is solved using the genetic algorithm based on NSGA-II, obtains Pareto optimal solution set, and choose suitable configurations side
Case.
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| CN110061492A (en) * | 2019-03-21 | 2019-07-26 | 国网浙江省电力有限公司经济技术研究院 | Consider the energy storage system capacity configuration optimizing method of distribution network reliability |
| CN110414810A (en) * | 2019-07-16 | 2019-11-05 | 华北电力大学 | Meter and the multiterminal intelligence Sofe Switch Optimal Configuration Method and system for losing load risk |
| CN110826874A (en) * | 2019-10-23 | 2020-02-21 | 北方工业大学 | Community power distribution network dynamic risk assessment method and device considering time-varying factors |
| CN111091329A (en) * | 2019-12-18 | 2020-05-01 | 北京化工大学 | Semi-open type vehicle path optimization method for multi-vehicle-type transportation of hazardous chemical substances |
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| CN112733482A (en) * | 2021-01-14 | 2021-04-30 | 国网福建省电力有限公司 | Ecological protection red line evading method for power grid construction project |
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| CN112580256A (en) * | 2020-12-02 | 2021-03-30 | 燕山大学 | Distributed power supply location and volume fixing method considering fault rate influence on electric automobile |
| CN112580256B (en) * | 2020-12-02 | 2022-04-01 | 燕山大学 | Distributed power supply location and volume fixing method considering fault rate influence on electric automobile |
| CN112713621A (en) * | 2020-12-22 | 2021-04-27 | 广东电网有限责任公司电力科学研究院 | Multi-objective optimization configuration method and system for alternating current-direct current hybrid system |
| CN112733482A (en) * | 2021-01-14 | 2021-04-30 | 国网福建省电力有限公司 | Ecological protection red line evading method for power grid construction project |
| CN113051693A (en) * | 2021-03-25 | 2021-06-29 | 国网吉林省电力有限公司长春供电公司 | Reliability evaluation method for information physical system of active power distribution network |
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