CN106709634A - Method for assessing electric car-accessed active distribution network carrying capacity - Google Patents

Method for assessing electric car-accessed active distribution network carrying capacity Download PDF

Info

Publication number
CN106709634A
CN106709634A CN201611099444.0A CN201611099444A CN106709634A CN 106709634 A CN106709634 A CN 106709634A CN 201611099444 A CN201611099444 A CN 201611099444A CN 106709634 A CN106709634 A CN 106709634A
Authority
CN
China
Prior art keywords
distribution network
electric automobile
active distribution
bearing capacity
charge
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201611099444.0A
Other languages
Chinese (zh)
Inventor
王麟
李丛林
鄂志君
刘玉坤
高涵
徐弢
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.)
Tianjin University
State Grid Tianjin Electric Power Co Ltd
Original Assignee
Tianjin University
State Grid Tianjin 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 Tianjin University, State Grid Tianjin Electric Power Co Ltd filed Critical Tianjin University
Priority to CN201611099444.0A priority Critical patent/CN106709634A/en
Publication of CN106709634A publication Critical patent/CN106709634A/en
Pending legal-status Critical Current

Links

Classifications

    • 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
    • G06Q10/06313Resource planning in a project environment
    • 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
    • G06Q10/0637Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
    • 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
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06Electricity, gas or water supply

Abstract

The invention provides a method for assessing electric car-accessed active distribution network carrying capacity. The active distribution network carrying capacity indicates bearing capacity, for emergencies, of circuits and equipment in active distribution networks. The method comprises the following steps of: constructing an active distribution network carrying capacity assessment system according to a carrying capacity theory and characteristics of an active distribution network, and obtaining each index representing the active distribution network carrying capacity; giving a load chart of an electric car charging station according to running characteristics of an electric car; and analyzing feedback between various variables of a distribution network carrying capacity system, and constructing a system dynamics model of the distribution network carrying capacity. The method not only can be used as a real-time online monitoring control systems which is used for the distribution network operation safety so as to provide real-time instruction schemes for the operation of distribution networks, but also can be used as an offline calculation platform which is used for offline calculating a safe and economical operation manner of the distribution networks by utilizing the history data and predicted load level of the distribution networks so as to instruct the operation and short-term planning of the distribution networks.

Description

A kind of active distribution network bearing capacity evaluation method that meter and electric automobile are accessed
Technical field
The present invention relates to a kind of active distribution network bearing capacity evaluation method.More particularly to a kind of meter and electric automobile connect The active distribution network bearing capacity evaluation method for entering
Background technology
With the development of science and technology, the progress of electric utility, more and more new things start appearance.People's lives it is rich Rich, industry prosperity makes the load of power network constantly increase, and the access of electric automobile brings bigger to the control of power network with operation Challenge.The frequency of haze now allows people to begin with requirement higher for air quality, and emission reduction becomes an important job. Environment, the energy turn into part and parcel in power network assessment.Many requirements make electric utility not only only be absorbed in contradiction The development of electric power, it is necessary to the various problems such as concern for the environment pollution, energy resource consumption, land seizure, mankind's activity, enables Cooperatively develop with economy, society, the energy, environment.So, active distribution network system evaluation system is built, realize actively matching somebody with somebody The comprehensive assessment of power network becomes an important process.
In recent years, in response to energy-saving and emission-reduction call and solve world energy sources crisis, document [1] with Denmark as background, Analyze influence of the charging charge for power distribution network.Due to electric automobile (Electric Vehicle, EV) charging interval with The uncertainty of spatial distribution, control and planning for active distribution network bring very big difficulty.Document [2-4] is analyzed EV accesses the influence of power network, it is proposed that the charging modes for charging in order, receives significant attention.Charging in order refers to electric automobile with can The form for controlling load participates in power grid regulation, and it charges what power network was adversely affected on a large scale as electric automobile is effectively evaded Important means.Charge in order in improvement power distribution network electric charge, improve the quality of power supply and operation of power networks economy and improve and match somebody with somebody network operation Reliability has good effect.Can be completed by multi-agent technology in implementation, the Typical Representative of intelligent agent is The charging electric vehicle control of entitled " the Smart Charge Controller " of U.S.'s Pacific Northwest National Laboratory exploitation Device, is equipped with using the close range wireless communication module of Zig Bee technologies, can receive the letter such as electricity price from power grid enterprises Breath.
Electric automobile and power network two-way interaction (Vehicle-to-grid, V2G) are by the use of the energy storage of electric automobile as power network Buffering, have adjusted network load, have great meaning for peak load regulation network.Document [4] is analyzed with New York as background In the case that the payload capability of V2G is certain value, the permeability of electric automobile is bigger, i.e., the quantity of electric automobile increases, Making the reliability of power network is improved.China is also losing no time in formulating the strategical planning of V2G in power grid construction, strengthens for V2G Basic research.
Emerged from Bearing Capacity Theory, with its development and extension, field involved by Bearing Capacity Theory is from earliest Ecology start to physics, engineering, humane extension, the problem of research also increasingly meets the demand of society.Therefore, will carry Power theoretical origin is also trend of the times in electrical engineering.
System dynamics is that a kind of each key element of internal system of seeking interacts in the method for solve problem.System dynamics What is used is the feedback relationship of the intersection cause and effect of internal system, and the root of problem is sought from the internal structure of system.Society's warp Ji, energy resource consumption, natural environment and power network development coordinate have close relation, therefore, it can constructing system kinetic model Come the influence and effect that reflect between them.
Active distribution network bearing capacity refers to that active distribution network ensure that normal operation and reply burst accident, and can be with Environment, the ability of energy cooperative development.Therefore, each correlative factor is further probed into using system dynamics model to active distribution The capability of sustainable development of the problem for active distribution network system of the bearing capacity influence of net, the utilization for new energy has emphatically The meaning wanted.
The content of the invention
The technical problems to be solved by the invention are to provide a kind of from technological rationality, security reliability, economy, ring Border, the energy, update the degree meter that totally six aspects are carried out and the active distribution network bearing capacity evaluation that electric automobile is accessed Method
The technical solution adopted in the present invention is:The active distribution network bearing capacity evaluation that a kind of meter and electric automobile are accessed Method, active distribution network bearing capacity refers to, circuit and equipment are to the ability to bear of accident, assessment side in active distribution network Method comprises the following steps:
1) active distribution network bearing capacity evaluation system is built according to the characteristics of Bearing Capacity Theory and active distribution network, is obtained Characterize the indices of active distribution network bearing capacity;
2) according to the operation characteristic of electric automobile, the load chart of electric automobile charging station is given;
3) analysis power distribution network carries the feedback between each class variable and variable of Force system, the system for building power distribution network bearing capacity Kinetic model.
The characteristics of described active distribution network be possess a certain proportion of distributed controllable resources, network topology can be flexible The power distribution network of regulation and the management and control center with realization coordination optimization management.
Step 1) described in active distribution network bearing capacity evaluation system, be from technological rationality, security reliability, economy Property, the index system of evaluation active distribution network bearing capacities that proposes of environment, the energy, the aspect of update degree six and to described Index system carries out integrated decision-making.
The index system of the active distribution network bearing capacity includes:
(1) can voltage level qualification rate is used for assessing voltage level after electric automobile accesses active distribution network reach technology Reasonable level, value is bigger, and expression voltage level technological rationality is higher, and expression formula is:
Wherein, the requirement of voltage level is set to ± the 10% of node voltage virtual value;
(2) idle configuration disqualification rate, for assessing after electric automobile accesses active distribution network, can idle configuration level Technology reasonable level is reached, the smaller expression idle art technique reasonability of power distribution network of value is higher, and expression formula is:
Wherein, power factor is not less than 0.85 after idle configuration requirement is set to node reactive-load compensation;
(3) short-time load rate, transports safely in the short time for assessing after electric automobile accesses active distribution network to power distribution network Capable influence, security reliability when being worth bigger expression distribution network operation is higher, and expression formula is:
(4) via net loss, influence to economy after active distribution network is accessed for assessing electric automobile, is worth smaller distribution Net economy is better, and expression formula is:
(5) reactive-load compensation expend, reactive-load compensation expend refer to electric automobile access active distribution network after, it is qualified in order to ensure Voltage level and power factor and carry out the consuming of reactive-load compensation, access active distribution network posterior nodal point for assessing electric automobile The investment of necessary reactive-load compensation is taken, the smaller power distribution network economy of value is better, and expression formula is:
Reactive-load compensation expends=reactive compensation capacity needed for every kVar reactive compensation capacities investment * power distribution networks
Wherein, per kVar reactive compensation capacities, the price is fixed at 0.01 ten thousand yuan;
(6) enhancement of environment degree, enhancement of environment degree refers to that electric automobile is accessed after active distribution network on the basis of original The emission reduction benefit brought, the environmental benefit brought after active distribution network is accessed for assessing electric automobile, and value gets over overall situation to be improved Degree is better, and expression formula is:
The electric automobile enhancement of environment degree=general-utility car contamination gas scale of construction-replacement equivalent electric automobile contamination gas scale of construction
Wherein, the CO that the contamination gas scale of construction of system discharge is discharged with system2、CO、SO2、NOxFour kinds of contamination gas scale of constructions plus Weight average value is represented;
(7) energy improve degree, the energy improve degree refer to electric automobile access active distribution network after in original base The energy saved on plinth, the source benefit brought after active distribution network is accessed for assessing electric automobile, and being worth the bigger energy improves Degree is better, and expression formula is:
Electric automobile energy improves degree=general-utility car energy resource consumption-replacement equivalent electric automobile energy consumption
Wherein, energy resource consumption is converted into standard coal to be calculated, automobile per 100 km oil consumption 5.8kg, per kg gasoline folding The equivalent standard coal 0.404kg of electricity, each automobile day are often spent in standardization coal 1.4714kg, 15 degree of electric automobile per 100 km power consumption Equal 37.7 kilometers of stroke;
(8) capacity of trunk nargin rate of change, capacity of trunk nargin rate of change refers to after electric automobile accesses active distribution network The degree for changing capacity of trunk nargin, for assessing the speed of the update of active distribution network main transformer, value is bigger need into The time that row updates is more long, and expression formula is:
Described integrated decision-making is carried out to index system is to carry out weight distribution using analytic hierarchy process (AHP), entropy assessment, final profit The comprehensive grading of active distribution network bearing capacity is obtained with Fussy grading method.
Step 2) described in electric automobile operation characteristic, including:
(1) battery altering station:
A () initial charge moment is divided into two sections, 11 points to second of first day 12 noon to 2 pm and first night Its 5:00 AM, obedience is uniformly distributed;
(b) initial state-of-charge Normal Distribution;
C () is charged all be full of battery every time;
D () charge power is definite value;
(2) residential quarters charging station:
A () initial charge moment, daily electric automobile number of strokes and charge power are separate;
B () daily electric automobile number of strokes obeys logarithm normal distribution, initial charge moment Normal Distribution;
C () is charged all be full of battery every time;
D () charge power is definite value;
(3) charge quick charge station.The characteristics of summary charge quick charge station, carry out hypothesis below:
A () initial charge moment, initial state-of-charge and end state-of-charge are separate;
(b) initial state-of-charge and end state-of-charge Normal Distribution;
C () initial charge moment obedience is uniformly distributed;
D () charge power is definite value.
Step 3) described in variable and the feedback between variable, refer to electric automobile access active distribution network after, analyze it is electronic Feedback relationship between automobile, population, economy, the energy, environment and encouragement policy, using System Dynamics Theory, sets up and accesses The active distribution network Bearing capacity model figure of electric automobile, and analogue simulation is carried out using Vensim softwares, obtain accessing electronic vapour To the influence of active distribution network bearing capacity after car, and draw corresponding encouragement policy.
The active distribution network bearing capacity evaluation method that a kind of meter of the invention and electric automobile are accessed, both can be used for matching somebody with somebody The real time on-line monitoring control system of safe operation of electric network, for the operation of power distribution network provides real-time guidance program;Can also make It is off-line calculation platform, using the historical data and the load level of prediction of distribution network operation, off-line calculation goes out power distribution network Safety and economic operation mode, to instruct the operation and short-term planning of power distribution network.
Brief description of the drawings
Fig. 1 is charging load chart in battery altering station in the present invention;
Fig. 2 is residential quarters charging station charging load chart in the present invention;
Fig. 3 is charge quick charge station charging load chart in the present invention;
Fig. 4 is active distribution network bearing capacity causality figure in the present invention;
Fig. 5 is active distribution network bearing capacity storage flow diagram in the present invention;
Fig. 6 is the node power distribution net topology figures of IEEE 33;
Fig. 7 is that active distribution network is carried and tried hard in the present invention;
Fig. 8 a are active distribution network bearing capacity technological rationality figures in the present invention;
Fig. 8 b are active distribution network bearing capacity security reliability figures in the present invention;
Fig. 8 c are active distribution network bearing capacity economy figures in the present invention;
Fig. 8 d are active distribution network bearing capacity environment maps in the present invention;
Fig. 8 e are active distribution network bearing capacity energy figures in the present invention;
Fig. 8 f are active distribution network bearing capacity update degree figures in the present invention;
Fig. 9 a are active distribution network bearing capacity economy network loss figures in the present invention;
Fig. 9 b are active distribution network bearing capacity economy reactive-load compensation expense figures in the present invention.
Specific embodiment
Energy is carried to the active distribution network that a kind of meter of the invention and electric automobile are accessed with reference to embodiment and accompanying drawing Force estimation method is described in detail.
The active distribution network bearing capacity evaluation method that a kind of meter of the invention and electric automobile are accessed, it is heretofore described Active distribution network bearing capacity refers to, circuit and equipment are of the invention to comment to the ability to bear of accident in active distribution network The method of estimating comprises the following steps:
1) active distribution network bearing capacity evaluation system is built according to the characteristics of Bearing Capacity Theory and active distribution network, is obtained Characterize the indices of active distribution network bearing capacity;
The characteristics of described active distribution network is that possess a certain proportion of distributed controllable resources, network topology can flexibly adjust The power distribution network of section and the management and control center with realization coordination optimization management.
Described active distribution network bearing capacity evaluation system, be from technological rationality, security reliability, economy, environment, The index system of the evaluation active distribution network bearing capacities that the energy, the aspect of update degree six are proposed and to the index system Carry out integrated decision-making.The index system of the active distribution network bearing capacity includes:
(1) voltage level qualification rate (A1), voltage level qualification rate refers to the nodes and section for meeting voltage level requirement Can the ratio of point sum, technology reasonable level be reached for assessing voltage level after electric automobile accesses active distribution network, be worth Bigger expression voltage level technological rationality is higher, and expression formula is:
Wherein, the requirement of voltage level is set to ± the 10% of node voltage virtual value;
(2) idle configuration disqualification rate (A2), idle configuration disqualification rate refers to that each node is first carried out into nothing as far as possible Work(is compensated, and the ratio of the nodes with node total number that can not reach idle configuration requirement is then calculated, for assessing electric automobile Can idle configuration level reach technology reasonable level after accessing active distribution network, be worth the smaller expression idle art technique of power distribution network Reasonability is higher, and expression formula is:
Wherein, power factor is not less than 0.85 after idle configuration requirement is set to node reactive-load compensation;
(3) short-time load rate (B), short-time load rate refers to power distribution network average load and peak load in short time range Ratio, access influence after active distribution network in the short time to power distribution network safe operation for assessing electric automobile, be worth bigger Security reliability when representing distribution network operation is higher, and expression formula is:
(4) via net loss (C1), via net loss refers to active loss sum in distribution power system load flow calculation, electronic for assessing Influence after automobile access active distribution network to economy, the smaller power distribution network economy of value is better, and expression formula is:
(5) reactive-load compensation expends (C2), it refers to after electric automobile accesses active distribution network, in order to ensure that reactive-load compensation expends Qualified voltage level and power factor and carry out the consuming of reactive-load compensation, for assessing after electric automobile accesses active distribution network Node takes the investment of necessary reactive-load compensation, and the smaller power distribution network economy of value is better, and expression formula is:
Reactive-load compensation expends=reactive compensation capacity needed for every kVar reactive compensation capacities investment * power distribution networks
Wherein, per kVar reactive compensation capacities, the price is fixed at 0.01 ten thousand yuan;
(6) enhancement of environment degree (D), enhancement of environment degree refers to that electric automobile is accessed after active distribution network on original basis On the emission reduction benefit brought, will the general-utility car of equivalent effect be changed to the emission reduction benefit brought after electric automobile, for assessing Electric automobile accesses the environmental benefit brought after active distribution network, and value more overall situation improvement degree is better, and expression formula is:
The electric automobile enhancement of environment degree=general-utility car contamination gas scale of construction-replacement equivalent electric automobile contamination gas scale of construction
Wherein, the CO that the contamination gas scale of construction of system discharge is discharged with system2、CO、SO2、NOxFour kinds of contamination gas scale of constructions plus Weight average value is represented;
(7) energy improve degree (E), the energy improve degree refer to electric automobile access active distribution network after original On the basis of the energy saved, will the general-utility car of equivalent effect be changed to the energy saved after electric automobile, it is electronic for assessing Automobile accesses the source benefit brought after active distribution network, and value is bigger, and energy improvement degree is better, and expression formula is:
Electric automobile energy improves degree=general-utility car energy resource consumption-replacement equivalent electric automobile energy consumption
Wherein, energy resource consumption is converted into standard coal to be calculated, automobile per 100 km oil consumption 5.8kg, per kg gasoline folding The equivalent standard coal 0.404kg of electricity, each automobile day are often spent in standardization coal 1.4714kg, 15 degree of electric automobile per 100 km power consumption Equal 37.7 kilometers of stroke;
(8) capacity of trunk nargin rate of change (F), capacity of trunk nargin refers to the difference between line load and main transformer capacity Value, when line load can cause overload more than main transformer capacity, it is necessary to change main transformer.Capacity of trunk nargin rate of change refers to electronic vapour Car accesses the degree for changing capacity of trunk nargin after active distribution network, for assessing the update of active distribution network main transformer Speed, value is bigger to need the time for being updated the replacement more long, and expression formula is:
The heretofore described integrated decision-making that carried out to index system is to carry out weight point using analytic hierarchy process (AHP), entropy assessment Match somebody with somebody, the final comprehensive grading that active distribution network bearing capacity is obtained using Fussy grading method.Wherein:
1. analytic hierarchy process (AHP)
Analytic hierarchy process (AHP) is one kind by expert's assignment, the method for finally giving weight.The present invention uses analytic hierarchy process (AHP) The step of it is as follows:
(1) each layer relation is determined.Herein according to evaluation index system, active distribution network bearing capacity is set to destination layer, Layer for the purpose of A, B, C, D, E, F, A1~C3It is indicator layer.
(2) Judgement Matricies.Judgment matrix has following property:
aijThe index i of importance for to(for) index j, value is 1~9, and value is bigger, and to represent relative importance higher.
(3) consistency check.Maximum characteristic root λ max, the coincident indicator CI of judgment matrix are calculated, expression formula is:
Consistency Ratio index CR is introduced, when following formula is met, matrix has uniformity.
(4) weight matrix is calculated.First to each row normalization of matrix, then sued for peace by row, finally normalize vector, obtained Weight matrix W.
W=(w1 w2 w3 w4 w5)T
2. entropy assessment amendment
Analytic hierarchy process (AHP) belongs to subjective assignment method, haves the shortcomings that subjective randomness.And entropy assessment belongs to objective assignment method, Can be used to make up the shortcoming of analytic hierarchy process (AHP), both combine make weight more be actually consistent.Entropy assessment amendment step is as follows:
(1) will determine that normalization obtains normalized matrix to matrix per a line.
(2) according to following formula, normalized matrix (assuming that matrix element is) a is usedij, entropy weight matrix is calculated, formula is as follows:
U=(u1 u2 u3 u4 u5)T
U=(u1 u2 u3 u4 u5) T
(3) according to following formula, using weight matrix W, entropy weight matrix U, comprehensive weight matrix J is calculated.
J=(j1 j2 j3 j4 j5)T
3. Fussy grading method
To carry out the synthesis of each index, the comprehensive assessment of the active distribution network capability of sustainable development is obtained, it is necessary to sameization The evaluation criterion of each index, using Fussy grading method.The step of Fussy grading method is:
(1) selection of Comment gathers.The present invention Comment gathers of active distribution network bearing capacity are divided into three-level, be respectively it is excellent, It is good and poor.
(2) selection of membership function.Voltage level qualification rate, short-time load rate, enhancement of environment degree, the energy are improved Degree, capacity of trunk nargin rate of change are classified as profit evaluation model index;By idle configuration disqualification rate, via net loss, reactive-load compensation consumption Expense is classified as cost type index.According to calculation of tidal current, the optimal value a of membership function is determined1, worst-case value a3, median a2
Cost type index membership function is
In formula, μikFor cost type index i comments are the degree of membership of k;xiIt is cost type index i;Wherein comment for it is excellent, good, Poor serial number k=1,2,3.Profit evaluation model index is similar with cost type index, wherein comment be poor, good, excellent serial number k=1, 2、3。
(3) vague marking matrix is calculated.According to the Comment gathers of excellent, good, poor, scoring point when by three-level comment degree of membership being 1 Wei not F1=100, F2=80, F3=60, then the vague marking FD of index iiFor
(4) comprehensive grading method.Revised weight matrix is J, and vague marking matrix is FD, power distribution network sustainable development Ability integration scoring FnetFor
In formula, i=1~6 are respectively technological rationality, security reliability, economy, environment, the energy, update journey Degree.
2) according to the operation characteristic of electric automobile, the load of electric automobile charging station as shown in Figure 1, Figure 2 and Figure 3 is given Curve map;
The operation characteristic of described electric automobile, including:
(1) battery altering station:
A () initial charge moment is divided into two sections, 11 points to second of first day 12 noon to 2 pm and first night Its 5:00 AM, obedience is uniformly distributed;
(b) initial state-of-charge Normal Distribution;
C () is charged all be full of battery every time;
D () charge power is definite value;
(2) residential quarters charging station:
A () initial charge moment, daily electric automobile number of strokes and charge power are separate;
B () daily electric automobile number of strokes obeys logarithm normal distribution, initial charge moment Normal Distribution;
C () is charged all be full of battery every time;
D () charge power is definite value;
(3) charge quick charge station.The characteristics of summary charge quick charge station, carry out hypothesis below:
A () initial charge moment, initial state-of-charge and end state-of-charge are separate;
(b) initial state-of-charge and end state-of-charge Normal Distribution;
C () initial charge moment obedience is uniformly distributed;
D () charge power is definite value.
3) analysis power distribution network carries the feedback between each class variable and variable of Force system, the system for building power distribution network bearing capacity Kinetic model.
Feedback between described variable and variable, refers to analysis after electric automobile as shown in Figure 4 accesses active distribution network Feedback relationship between electric automobile, population, economy, the energy, environment and encouragement policy, using System Dynamics Theory, sets up The active distribution network Bearing capacity model figure of electric automobile is accessed, as shown in figure 5, analogue simulation simultaneously is carried out using Vensim softwares, Obtain accessing influence to active distribution network bearing capacity after electric automobile, and draw corresponding encouragement policy.
The node power distribution nets of IEEE 33 shown in Fig. 6 are as example below, to the reliability of system dynamics model with it is feasible Property verified, analyze and discuss electric automobile access for active distribution network bearing capacity influence
According to the characteristics of variety classes charging station electric automobile charging station charge model is built with charge rule.In order to can The workload that simplified model is set up, can show different qualities when different charging stations charge again, the present invention choose battery altering station, Residential block charging station, three kinds of charging stations of public place charging station.Electric automobile charging station probability load model is built, depanning is calculated Type charging load curve, the probability of load model is reflected by Monte Carlo simulation.The present invention uses IEEE 33 and saves Point power distribution network, the feasibility and reliability of testing model are carried out with this.The distribution network voltage grade is 12.66kV, adds up to 32 lines Road, 5 interconnectors, power distribution network high order end is power supply.
Because the load model of electric automobile charging station and distributed power source is represented with daily load curve, so in tide In stream calculation, by different type electric automobile charging station load and distributed power source load be added to such charging station of access or In the node load of distributed power source.Present invention selection divides residential quarters charging station, charge quick charge station, battery altering station In other access node 18,22,23, reactive-load compensation point is concentrated in node 12.
After electric automobile accesses active distribution network, when carrying out Load flow calculation, that meet first is two of technological rationality Index, so technological rationality is all always 100 points, as shown in Figure 8 a.Security reliability is with access electric automobile charging station Quantity increases, and causes average load to become big with the gap of peak load, and index is presented the trend for declining to a great extent, as shown in Figure 8 b. Update degree keeps stabilization slightly to decline, as illustrated in fig. 8f.Environment and the energy due to access be all environment-friendly type load, Ascendant trend is presented, as shown in Fig. 8 d and 8e.
The trend that economic index scored in 10 years is to glide, as shown in Figure 8 c.In the two indices of economy, Reactive-load compensation expense declines degree acutely, as shown in figure 9b, on the one hand because the access of electric automobile charging station, in order to meet The idle configuration of node is required for the node accessed to it to carry out reactive-load compensation;On the other hand, due to needing to meet to node electricity The requirement of voltage levels, it is necessary to carry out concentration reactive-load compensation to whole active distribution network, so reactive-load compensation expense is being improved always. Although network loss scoring declines, overall trend is smoothed, as illustrated in fig. 9.
Electric motorcar charging station accesses active distribution network, and under the feedback of policy, active distribution network bearing capacity is at 90 points or so Dynamic equilibrium is reached, as shown in Figure 7.The government policy excitation for illustrating now to select is rational, allows the fortune of active distribution network Row has been maintained at maintenance level with failure reply.In a model, the access of electric automobile is shown in active distribution network Advantage and shortcoming, although it can bring some problems to active distribution network operation with control, the advantage in terms of energy-saving and emission-reduction Clearly, wideling popularize for they meets national policy at this stage.
Simulation result of the invention is shown through the test of emulation platform, after setting up active distribution network Bearing capacity model, other side Formula carries out assignment, then carries out model emulation, can normally run, and obtains simulation result, that is, represent dimensional homogeneity inspection Tentatively pass through.Desk checking its consistency is carried out again.Finally checked using Vensim unit assay functions.Even if model exists Extreme condition, the operation result of model also should comply with prediction and rule.Selection electric automobile growth factor is extreme condition Test variable, is set to 0, i.e., it is 0 that electric automobile increases, and obtains simulation result
Active distribution network bearing capacity is related to charging pile quantity in electric automobile charging station.Electric automobile charging pile Quantity is directly proportional to the quantity of electric automobile, and the quantity of electric automobile has with the recoverable amount of automobile with national policy encouragement Close, the recoverable amount of automobile is then related to GDP, population.GDP, the growth of population promote the growth of car ownership, and automobile is possessed The increase of amount causes that GDP is increased again.The recoverable amount of electric automobile then be subject to car ownership increase and increase, and with charging The proportional relation of quantity of stake, the increase for accessing charging pile quantity causes that the scoring of power distribution network bearing capacity declines, in order that power distribution network Depression of bearing force speed slow down, by country formulate policy, decline the enthusiasm of purchase electric automobile, reduce electronic vapour Charging pile when car charges accesses power network, reaches the purpose for slowing down the depression of bearing force speed of power distribution network.
Bibliography
[1] Xu Lizhong, Yang Guangya, Xu Zhao, wait influence [J] the electric power of charging electric vehicles load to Denmark's distribution system System automation, 2011,35 (14):18-23.
[2] Liu Xiaofei, Zhang Qianfan, refined plum electric automobiles V2G technology summaries [J] the electrotechnics journals of Cui, 2012,27 (2):121-127.
[3]Eric Sortomme,Mohammad M Hindi,S D James MacPherson,et al.Coordinated charging of plug-in hybrid electric vehicles to minimize distribution system losses[J].IEEE Transactions on Smart Grid,2011,2(1):198- 205.
Hu Zechun, Song Yonghua, Xu Zhiwei, wait electric automobiles to access the influence of power network and utilize [J] China electrical engineering Journal, 2012,32 (4):1-10.

Claims (7)

1. a kind of active distribution network bearing capacity evaluation method that meter and electric automobile are accessed, it is characterised in that active distribution network Bearing capacity refers to, to the ability to bear of accident, appraisal procedure comprises the following steps for circuit and equipment in active distribution network:
1) active distribution network bearing capacity evaluation system is built according to the characteristics of Bearing Capacity Theory and active distribution network, is characterized The indices of active distribution network bearing capacity;
2) according to the operation characteristic of electric automobile, the load chart of electric automobile charging station is given;
3) analysis power distribution network carries the feedback between each class variable and variable of Force system, builds the system dynamic of power distribution network bearing capacity Learn model.
2. the active distribution network bearing capacity evaluation method that a kind of meter according to claim 1 and electric automobile are accessed, its Be characterised by, be the characteristics of described active distribution network possess a certain proportion of distributed controllable resources, network topology being capable of spirit The power distribution network of regulation living and the management and control center with realization coordination optimization management.
3. the active distribution network bearing capacity evaluation method that a kind of meter according to claim 1 and electric automobile are accessed, its Be characterised by, step 1) described in active distribution network bearing capacity evaluation system, be from technological rationality, security reliability, economy Property, the index system of evaluation active distribution network bearing capacities that proposes of environment, the energy, the aspect of update degree six and to described Index system carries out integrated decision-making.
4. the active distribution network bearing capacity evaluation method that a kind of meter according to claim 3 and electric automobile are accessed, its It is characterised by, the index system of the active distribution network bearing capacity includes:
(1) voltage level qualification rate is used for assessing voltage level after electric automobile accesses active distribution network can reach technology reasonable Level, value is bigger, and expression voltage level technological rationality is higher, and expression formula is:
Wherein, the requirement of voltage level is set to ± the 10% of node voltage virtual value;
(2) can idle configuration disqualification rate, reach for assessing idle configuration level after electric automobile accesses active distribution network Technology reasonable level, the smaller expression idle art technique reasonability of power distribution network of value is higher, and expression formula is:
Wherein, power factor is not less than 0.85 after idle configuration requirement is set to node reactive-load compensation;
(3) short-time load rate, accesses after active distribution network in the short time to power distribution network safe operation for assessing electric automobile Influence, security reliability when being worth bigger expression distribution network operation is higher, and expression formula is:
(4) via net loss, influence to economy after active distribution network is accessed for assessing electric automobile, is worth smaller power distribution network warp Ji property is better, and expression formula is:
(5) reactive-load compensation expends, and it refers to after electric automobile accesses active distribution network, in order to ensure qualified electricity that reactive-load compensation expends Voltage levels and power factor and carry out the consuming of reactive-load compensation, access active distribution network posterior nodal point for assessing electric automobile and take The investment of necessary reactive-load compensation, the smaller power distribution network economy of value is better, and expression formula is:
Reactive-load compensation expends=reactive compensation capacity needed for every kVar reactive compensation capacities investment * power distribution networks
Wherein, per kVar reactive compensation capacities, the price is fixed at 0.01 ten thousand yuan;
(6) enhancement of environment degree, enhancement of environment degree refers to be brought on the basis of original after electric automobile accesses active distribution network Emission reduction benefit, access the environmental benefit brought after active distribution network for assessing electric automobile, value gets over overall situation improves degree Better, expression formula is:
The electric automobile enhancement of environment degree=general-utility car contamination gas scale of construction-replacement equivalent electric automobile contamination gas scale of construction
Wherein, the CO that the contamination gas scale of construction of system discharge is discharged with system2、CO、SO2、NOxFour kinds of weightings of the contamination gas scale of construction are put down Average is represented;
(7) energy improves degree, and it refers to that electric automobile is accessed after active distribution network on the basis of original that the energy improves degree The energy of saving, the source benefit brought after active distribution network is accessed for assessing electric automobile, and being worth the bigger energy improves degree Better, expression formula is:
Electric automobile energy improves degree=general-utility car energy resource consumption-replacement equivalent electric automobile energy consumption
Wherein, energy resource consumption is converted into standard coal to be calculated, automobile per 100 km oil consumption 5.8kg, the equivalent mark per kg gasoline The equivalent standard coal 0.404kg of electricity, the average daily row of each automobile are often spent in quasi- coal 1.4714kg, 15 degree of electric automobile per 100 km power consumption 37.7 kilometers of journey;
(8) capacity of trunk nargin rate of change, capacity of trunk nargin rate of change refers to make line after electric automobile accesses active distribution network The degree of road Capacity Margin change, for assessing the speed of the update of active distribution network main transformer, the bigger needs of value are carried out more The new time regenerated is more long, and expression formula is:
5. the active distribution network bearing capacity evaluation method that a kind of meter according to claim 3 and electric automobile are accessed, its It is characterised by, described integrated decision-making is carried out to index system is to carry out weight distribution using analytic hierarchy process (AHP), entropy assessment, final profit The comprehensive grading of active distribution network bearing capacity is obtained with Fussy grading method.
6. the active distribution network bearing capacity evaluation method that a kind of meter according to claim 1 and electric automobile are accessed, its Be characterised by, step 2) described in electric automobile operation characteristic, including:
(1) battery altering station:
A () initial charge moment is divided into two sections, 11 points to second day icepros of first day 12 noon to 2 pm and first night In 5 points of morning, obedience is uniformly distributed;
(b) initial state-of-charge Normal Distribution;
C () is charged all be full of battery every time;
D () charge power is definite value;
(2) residential quarters charging station:
A () initial charge moment, daily electric automobile number of strokes and charge power are separate;
B () daily electric automobile number of strokes obeys logarithm normal distribution, initial charge moment Normal Distribution;
C () is charged all be full of battery every time;
D () charge power is definite value;
(3) charge quick charge station.The characteristics of summary charge quick charge station, carry out hypothesis below:
A () initial charge moment, initial state-of-charge and end state-of-charge are separate;
(b) initial state-of-charge and end state-of-charge Normal Distribution;
C () initial charge moment obedience is uniformly distributed;
D () charge power is definite value.
7. the active distribution network bearing capacity evaluation method that a kind of meter according to claim 1 and electric automobile are accessed, its Be characterised by, step 3) described in variable and the feedback between variable, refer to electric automobile access active distribution network after, analyze it is electronic Feedback relationship between automobile, population, economy, the energy, environment and encouragement policy, using System Dynamics Theory, sets up and accesses The active distribution network Bearing capacity model figure of electric automobile, and analogue simulation is carried out using Vensim softwares, obtain accessing electronic vapour To the influence of active distribution network bearing capacity after car, and draw corresponding encouragement policy.
CN201611099444.0A 2016-12-02 2016-12-02 Method for assessing electric car-accessed active distribution network carrying capacity Pending CN106709634A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201611099444.0A CN106709634A (en) 2016-12-02 2016-12-02 Method for assessing electric car-accessed active distribution network carrying capacity

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201611099444.0A CN106709634A (en) 2016-12-02 2016-12-02 Method for assessing electric car-accessed active distribution network carrying capacity

Publications (1)

Publication Number Publication Date
CN106709634A true CN106709634A (en) 2017-05-24

Family

ID=58934566

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201611099444.0A Pending CN106709634A (en) 2016-12-02 2016-12-02 Method for assessing electric car-accessed active distribution network carrying capacity

Country Status (1)

Country Link
CN (1) CN106709634A (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107122924A (en) * 2017-05-31 2017-09-01 国家电网公司 A kind of intelligent distribution system bearing capacity evaluation method
CN110690702A (en) * 2019-11-01 2020-01-14 国网四川省电力公司经济技术研究院 Active power distribution network optimal scheduling and operation method considering comprehensive bearing capacity
CN112990559A (en) * 2021-03-02 2021-06-18 国网河北省电力有限公司 Method for selecting low-voltage business expansion power supply point

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107122924A (en) * 2017-05-31 2017-09-01 国家电网公司 A kind of intelligent distribution system bearing capacity evaluation method
CN110690702A (en) * 2019-11-01 2020-01-14 国网四川省电力公司经济技术研究院 Active power distribution network optimal scheduling and operation method considering comprehensive bearing capacity
CN110690702B (en) * 2019-11-01 2022-04-08 国网四川省电力公司经济技术研究院 Active power distribution network optimal scheduling and operation method considering comprehensive bearing capacity
CN112990559A (en) * 2021-03-02 2021-06-18 国网河北省电力有限公司 Method for selecting low-voltage business expansion power supply point

Similar Documents

Publication Publication Date Title
Xie et al. Autonomous optimized economic dispatch of active distribution system with multi-microgrids
CN106384175B (en) A kind of electric car real-time control method based on schedulable ability
CN107122924A (en) A kind of intelligent distribution system bearing capacity evaluation method
CN104102954B (en) Distributive integrated energy supply system optimal configuration method considering black-start function
CN106709634A (en) Method for assessing electric car-accessed active distribution network carrying capacity
Lu et al. Online optimization of energy management strategy for FCV control parameters considering dual power source lifespan decay synergy
Ma et al. Intelligent charging control method of shared vehicle based on MPPT algorithm in the environment of internet of things
Yang et al. Review on distribution network planning methods considering large-scale access of flexible load
CN112886624B (en) Three-station-in-one substation energy storage device planning and designing system and method
Zhang et al. Research on combination modes and adaptability analysis of multi-station integration
Ma et al. Real-Time Application Optimization Control Algorithm for Energy Management Strategy of the Hybrid Power System Based on Artificial Intelligence
Tong et al. An intelligent scheduling control method for smart grid based on deep learning
Yongqi et al. Comprehensive benefit analysis for integrated energy systems projects based on ahp-fuzzy
Yu et al. Study on the Tripartite Evolutionary Game of Intelligent Electric Heating System and Establishment of Mathematical Model
Dong et al. Study on operation evaluation of charging and discharging network based on improved analytic hierarchy process and fuzzy synthetic evaluation
Wang et al. Study on orderly charging and discharging strategy of EVs with customer satisfaction
CN110266057A (en) A kind of cross-domain collaboration interaction of wind-light storage bavin autonomy microgrid group and consumption method
Ye et al. Research on urban saturation load forecasting based on logistic algorithm
Dong et al. Risk evaluation of charging facilities of electric vehicles based on fuzzy analytic network process
Sun Research on optimization scheduling simulation system of electric vehicle charging station based on CPLEX model technology
Song et al. Research on energy efficiency optimization of grid-connected photovoltaic system based on fuzzy logic
Guo et al. Energy conversion technology and economy evaluation system for smart city
Li et al. Micro-grid Dispatch Decision-Making Method Based on Adjustable Robust Optimization Algorithm
Liu et al. Coordinated Planning of Active Distribution Network and V2G Charging Stations Considering the Load Characteristics of V2G Stations
Li et al. Research on Operation Mode and Architecture Design of Source-Network-Load-Storage Interactive Regulation Technology in New Power System

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20170524

WD01 Invention patent application deemed withdrawn after publication