CN109345411A - A kind of quantization control method promoted applied to power distribution network power supply capacity - Google Patents
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Abstract
The invention discloses a kind of quantization control methods promoted applied to power distribution network power supply capacity, which comprises solves existing power grid net capability, and determines distribution network planning net capability increment；It calculates power distribution network power supply capacity and promotes construction investment and operation control cost；Active distribution network power supply capacity and source net lotus control two target values of cost are judged and updated using improved crossover operator and elitist selection strategy, Pareto disaggregation is obtained based on non-dominated ranking；The Pareto disaggregation of net capability, acquisition based on setting determines power supply investment planning scheme.The present invention adapts to the growth requirements such as power supply reliability, distribution intelligence under the new situation by intensification, the relieving of increment distribution business and the implementation of electric energy substituted pesticides of access, the supply and demand interaction of scale clean energy resource.
Description
Technical field
The present invention relates to Power System Planning field more particularly to a kind of quantizations promoted applied to power distribution network power supply capacity
Control method.
Background technique
With the exacerbation of haze weather situation in recent years, many cities of northern China start to promote " coal changes electricity " policy to subtract
Few winter pollution that caused by coal burning improves air quality.Under the background of environmental protection, more and more attention has been paid to and a large amount of for electric car
It is linked into power distribution network.In this context, so a large amount of load accesses inherently generate shadow to the safe and reliable operation of power distribution network
It rings.At the same time, in the case where the policy guides such as action plan and new round upgrade of rural power grids upgrading are transformed in national distribution network construction,
110 kilovolts that account for power grid gross investment 58% and following electric grid investment increase by 35.6% on a year-on-year basis.From the point of view of Electricity Investment trend, power grid
Degree of saturation still not as good as power supply, China renewable energy digestion capability and in terms of still need power grid and continue
Investment.With Analyzing Total Electricity Consumption slowdown in growth, and the case where most of power supply and transmission line of electricity skeleton gradual perfection
Under, the center of gravity of China's power grid construction investment is shifted via backbone network to net side, how to carry out power distribution network power supply capacity promotion
Operating cost quantitative analysis, become the problem of must be taken into consideration in distribution network planning construction and rules and procedures for operation.
The power supply capacity of power distribution network analyze and its investment operation cost analysis be one be related to multiple objects, multiple indexs and
The exemplary dynamic Comprehensive Evaluation Problem of multiple periods, the construction object of evaluation object and design feature, the weakness of local distribution network
Link and stage run target difference there are larger difference, and process and the method for needing to construct specification are practical to improve
Property.Traditional evaluation model mostly solely evaluates a large amount of statistical indicators using subjective scoring, it is difficult to objective understanding
The space-time characteristics and regional disparity of distribution network construction development.There is angle of the method from operation to the fortune after power distribution network investment construction
It is evaluated in terms of row effect and efficiency of investment two[1-5], lack and several construction schemes and migration efficiency carried out in planning angle
Evaluation, to be difficult to effectively instruct the accurate investment of power distribution network.Existing distribution network planning needs while considering the operation of system
Cost, investment quantitative analysis model are primarily present the deficiency of 3 aspects, i.e., evaluation method is subjective, index system is comprehensive
Property it is lower and evaluation time scale it is single.The promotion of power distribution network power supply capacity is a dynamic rolling planning process, the essence of model
Parasexuality will directly affect the efficiency of power distribution network upgrading, and propose to be applied to the cost quantization point that power distribution network power supply capacity is promoted
Analysis method, it will help realize the efficiency of China's distribution network planning construction and operation.
Summary of the invention
The present invention provides a kind of quantization control method promoted applied to power distribution network power supply capacity, the present invention passes through scale
Intensification, the relieving of increment distribution business and the implementation of electric energy substituted pesticides for changing access, the supply and demand interaction of clean energy resource, adapt to
The growth requirements such as power supply reliability, distribution intelligence under the new situation, described below:
A kind of quantization control method promoted applied to power distribution network power supply capacity, which comprises
Existing power grid net capability is solved, and determines distribution network planning net capability increment；
It calculates power distribution network power supply capacity and promotes construction investment and operation control cost；Utilize improved crossover operator and essence
English selection strategy is judged and is updated to active distribution network power supply capacity and source net lotus control two target values of cost, based on non-
Dominated Sorting obtains Pareto disaggregation；
Power supply investment planning scheme is determined based on the net capability of setting, the Pareto disaggregation of acquisition.
Further, the improved crossover operator specifically:
Wherein, A.rank indicates the non-dominated ranking grade as the individual A of former generation, and A.dist indicates the individual A for working as former generation
Crowding distance, B.rank indicates the non-dominated ranking grade as the individual A of former generation, and B.dist indicates the individual A when former generation
Crowding distance.
Wherein, the elitist selection strategy specifically:
The crowding distance for calculating all non-domination solutions in current level individual, deletes the wherein the smallest solution of crowding distance；
Judge remaining non-domination solution scale in current level individual, is held if reaching individual amount requirement to be selected
Otherwise row next step executes previous step；
Export remaining non-domination solution in current level individual.
Wherein, operation control cost includes: distributed generation resource power output active management cost, switch is dynamic in network reconfiguration
Make the active management cost of cost and Demand-side load.
Further, the distributed generation resource power output active management cost specifically:
In formula, CMTFor gas turbine power generation cost；CngIndicate unit combustion gas cost；PMTFor the active output of gas turbine
Power；η is the operational efficiency of gas turbine.
Further, switch motion cost in the network reconfiguration specifically:
CSW=CRCSNRCS
Wherein, CRCSThe cost once generated for switch motion during network reconfiguration；NRCSTo be opened during network reconfiguration
The number of pass movement.
Further, the active management cost of the Demand-side load specifically:
Wherein, cIL,lIndicate the contract price of interruptible load, kILIndicate idle cost coefficient, PIL,l、QIL,lIn respectively indicating
The active and reactive power of disconnected load.
The beneficial effect of the technical scheme provided by the present invention is that: the present invention passes through access, the supply and demand of scale clean energy resource
Interactive intensification, the relieving of increment distribution business and the implementation of electric energy substituted pesticides, adapt under the new situation power supply reliability, match
The growth requirements such as electric intelligence.
Detailed description of the invention
Fig. 1 is a kind of flow chart of quantization control method promoted applied to power distribution network power supply capacity provided by the invention；
Fig. 2 is the flow chart of the Installed capital cost that power distribution network power supply capacity provided by the invention is promoted and operation relationship；
Fig. 3 is the process that entropy weight base point method provided by the invention screens Pareto disaggregation；
Fig. 4 is NSGA-II solving model process provided by the invention；
Fig. 5 is the improved 33 Node power distribution system structure chart of IEEE of embodiment；
Fig. 6 is the power supply capacity multiple target Pareto solution and screening situation that embodiment is acquired based on improvement NSGA-II algorithm.
Wherein, (a) is the multiple target Pareto optimal solution and selection after the active distribution network optimization that implementation column acquires
The schematic diagram for optimal solution of trading off；(b) the corresponding ideality numerical value of multiple target Pareto optimal solution acquired for implementation column, to select
Select the schematic diagram of final compromise optimal solution.
Specific embodiment
To make the object, technical solutions and advantages of the present invention clearer, embodiment of the present invention is made below further
Ground detailed description.
Embodiment 1
A kind of quantization control method promoted applied to power distribution network power supply capacity, referring to Fig. 1, this method comprises:
101: solving existing power grid net capability, and determine distribution network planning net capability increment；
102: calculating power distribution network power supply capacity and promote construction investment and operation control cost；Using improved crossover operator with
And elitist selection strategy is judged and is updated, base to active distribution network power supply capacity and source net lotus control two target values of cost
Pareto disaggregation is obtained in non-dominated ranking；
103: power supply investment planning scheme is determined based on the net capability of setting, the Pareto disaggregation of acquisition.
In conclusion the embodiment of the present invention passes through the access of scale clean energy resource, the intensification of supply and demand interaction, increment distribution
The relieving of business and the implementation of electric energy substituted pesticides adapt to the growth requirements such as power supply reliability, distribution intelligence under the new situation.
Embodiment 2
The scheme in embodiment 1 is further introduced below with reference to specific calculation formula, example, Fig. 1-Fig. 4,
It is described below:
One, power distribution network net capability is sought
Power distribution network net capability can be described as all feeder line N-1 verifications and the school transforming plant main transformer N-1 in power distribution network
It tests when being all satisfied, the peak load of the power distribution network institute energy band.To consider when N-1 load between main transformer and feeder line turn band, main transformer and
The constraint of the power distribution networks actual motions such as the communication relationship in the capacity of feeder line, network between main transformer and between feeder line.
Power distribution network net capability gives efficiency and economy highest of the power distribution network in safe and reliable range
Operating point, method for solving can be divided mainly into two class of analytic method and linear programming model method.It is provided in an embodiment of the present invention to match
Installed capital cost and operation cost the analysis relationship that power grid power supply capacity is promoted are as shown in Figure 2.
Wherein, P1And P2Power distribution network power supply capacity respectively under different schemes promotes Installed capital cost.S1And S2Respectively
For the power distribution network operation cost under the unit time under different schemes, the as unity slope of power distribution network operation cost.
Based on power distribution network functional application total time T, the totle drilling cost of power distribution network power supply capacity promotion are as follows:
Ctotal=Pi+Si×T(i∈I)(1)
In formula, CtotalFor power distribution network operation cost；I is feasible power distribution network power supply capacity lifting scheme set；PiAnd Si
Power distribution network power supply capacity respectively under different schemes promotes Installed capital cost and the power distribution network operation cost under the unit time.
The present embodiment does not limit existing power grid net capability acquiring method.
Net capability increment can increase (including " coal changes electricity " engineering construction) by electric system, electric load, supply
Electric reliability promotion etc. determines.
Two, power distribution network power supply capacity promotes construction investment and operation control cost calculation.
Power distribution network power supply capacity promotes Installed capital cost Pi, comprising: the soil of the electric network reconstruction of power distribution network and newly-built power grid
Ground collection, equipment purchasing and construction cost.The solution of the part and the estimation of conventional electrical distribution net programmed cost are consistent, this implementation
The use of the unlimited fixture body method of example.
It is as follows that power distribution network power supply capacity promotes construction investment operating cost calculation formula:
MinCost=CDG+CSW+CDSM(2)
In formula, Cost indicates the master control cost of active distribution network, CDGIndicate distributed generation resource active management cost, CSW
Indicate switch motion cost, CDSMIndicate demand side management cost.
Specific step is as follows for the calculating of power distribution network power supply capacity promotion operation control cost:
(21) controllable DG type is miniature gas turbine (micro turbine generator, MTG), for combustion gas wheel
Machine, operational efficiency rise with the increase of output power, and operating cost and active output power have relationship as follows
Formula:
In formula, CMTFor gas turbine power generation cost；CngIndicate unit combustion gas cost；PMTFor the active output of gas turbine
Power；η is the operational efficiency of gas turbine.
(22) action frequency switched in network reconfiguration cost and power distribution network is directly proportional, and calculation method is as follows:
CSW=CRCSNRCS(4)
Wherein, CRCSThe cost once generated for switch motion during network reconfiguration；NRCSTo be opened during network reconfiguration
The number of pass movement.
(23) cost of demand side management is main herein considers interruptible load cost of compensation.Generally in interruptible load
(interruptible load is common a kind of load control manner in demand side management) cost of compensation is (due to directly to customer charge
Controlled, need to carry out user certain compensation to guarantee the satisfaction of user) in only consider short of electricity amount and break period
Influence of the two factors to it, model are expressed as follows:
Wherein, cIL,lIndicate the contract price of interruptible load, kILIndicate idle cost coefficient, PIL,l、QIL,lIn respectively indicating
The active and reactive power of disconnected load.
Three, power distribution network power supply capacity and source net lotus operation control two targets of cost optimize
(31) based on two target function values to the quick non-dominated ranking of population, and corresponding crowding distance is calculated；
(32) the crowding distance size of each individual is ranked up, parent population is selected by tournament method；
(33) progeny population is generated by intersection and mutation operation traditional in genetic algorithm；
Wherein, crossover operator is most important operation in genetic manipulation, the gene model of excellent individual in crossover process
It is able to breed rapidly and spread in population, other in population physical efficiency is made to advance to the direction of optimal solution.Compared to simulation two
System crossover operator, arithmetic crossover operator have better ability of searching optimum, can preferably keep the diversity of population.
Arithmetic crossover operation is as follows: settingWithReal number of the respectively t for the decision variable of two individuals to be intersected
Coding, then intersect the corresponding decision variate-value of latter two body are as follows:
Wherein,For the decision variable value of t generation individual A to be intersected；For the decision of t generation individual B to be intersected
Variate-value；α is parameter, when α is constant, referred to as uniform arithmetic crossover；Otherwise, then referred to as nonuniform arithmetical crossover.
Wherein, crossover operator coefficient is as follows:
Wherein, A.rank indicates the non-dominated ranking grade as the individual A of former generation, and A.dist indicates the individual A for working as former generation
Crowding distance, B.rank indicates the non-dominated ranking grade as the individual A of former generation, and B.dist indicates the individual A when former generation
Crowding distance.
In this way, the gene of more excellent individual is preferably retained in the early period of algorithm, therefore algorithm the convergence speed is accelerated
?；Meanwhile in the later period of algorithm, the gene of the preferable individual of degree of distribution has obtained better reservation, therefore improves algorithm
Diversity.
(34) constraint judges and calculates response target function value；
(35) parent, progeny population are mixed to get offspring flocks；
(36) to the quick non-dominated ranking of offspring flocks, corresponding crowding distance is calculated；
(37) retain offspring's elite population.It is introduced in elitist selection and is phased out strategy, specific steps are as follows:
Step 37a calculates the crowding distance of all non-domination solutions in current level individual, it is minimum to delete wherein crowding distance
Solution；
Step 37b judges remaining non-domination solution scale in current level individual, if reaching individual amount to be selected
It is required that thening follow the steps 37c, otherwise, step 37a is executed.
Step 37c exports remaining non-domination solution in current level individual, then executes step (38).
(38) judge whether to reach the number of iterations, if it is export Pareto disaggregation, otherwise, execute step (32).
Four, based on the power distribution network power supply capacity of quasi- promotion, the preferred of distribution network construction scheme is carried out.
(41) evaluations matrix is established
For 2 objective functions in the embodiment of the present invention, l Pareto optimal solution establishes evaluations matrix P:
Wherein, pi1Indicate the value of the 1st decision index system of i-th of Pareto solution；pi2Indicate the 2nd of i-th of Pareto solution
The value of a decision index system.
(42) the normalization processing of data.
Power supply capacity belongs to profit evaluation model index, and control cost belongs to cost type index.To unify dimension and the order of magnitude, simultaneously
All index forward directions, matrix P is standardized:
Wherein, qijFor normalization after corresponding i-th of the target function value of j-th of Pareto optimal solution,WithThe maximum value and minimum value of jth row in respectively P.Obtain standardized value qijAnd the canonical matrix Q being made of it.
(43) the information entropy of j-th of index is calculated, the size of entropy weight is determined by the difference degree of solutions different under the target,
It represents the target and the size of information content is provided.The calculation formula of entropy weight are as follows:
Wherein, ejFor the information entropy of j-th of index；wjWeight for j-th of index being calculated according to information entropy
Value；L is the number of Pareto optimal solution.
(44) the normalization evaluations matrix Y=(y of weighting is establishedij)。
yij=wjqij1≤i≤l, j=1,2 (11)
(45) double base points are determined.
Define Positive ideal pointNegative ideal point
(46) relative similarity degree of each Pareto optimal solution is calculated.
Wherein,WithRespectively i-th of Pareto optimal solution and pointWithEuclidean distance.
Power distribution network power supply capacity based on quasi- promotion carries out the preferred of distribution network construction scheme.Relative similarity degree numerical value is got over
Height, solution choose the maximum Pareto optimal solution of relative similarity degree as compromise optimal solution closer to Positive ideal point.
Embodiment 3
The embodiment of the present invention chooses ADN example of improved 33 Node power distribution system of IEEE as research, and Fig. 5 gives
Improved active distribution network system diagram.Load at 8,14,24,30,32 nodes is as interruptible load processing, interruptible load
The proportional region that interrupts be 0~10%.It is mounted with gas turbine as controllable DG at node 8,13,16 and 25.Gas turbine
Installed capacity be 600,600,650,650kW, unit combustion gas cost takes 0.4 yuan/kWh.
By carrying out subregion to test example, the power supply capacity and control cost situation of different regions are calculated, and make more
The forward position the Pareto figure of target solution, analyzes Pareto disaggregation, and finds out the corresponding source net lotus controlling party of compromise optimal solution
Case is as final decision solution.
The comparison of 1 power supply capacity situation of table
2 cost distribution situation of table
3 different zones power supply capacity situation of table
Fig. 3 illustrates the conflict relationship in the example between power supply capacity and control cost.From the forward position Pareto of Fig. 3 point
It is evenly distributed on Pareto optimal solution forward position in cloth as can be seen that solving obtained optimal solution, includes more rich decision
Information.Arc is presented in Pareto disaggregation, controls cost with the increase of power supply capacity in the latter half of figure line and increases sharply,
And power supply capacity increase is unobvious.If then increasing power supply capacity, increased costs are very fast, and income effect is unobvious.Therefore it needs
The solution of Pareto disaggregation is screened, to select power supply capacity in the case where being guaranteed, cost is also reasonably compromised most
Excellent solution calculates the corresponding ideality of each solution on the forward position Pareto using entropy weight base point method.Using power supply capacity as decision index system
1, control cost is decision index system 2, can obtain decision matrix P by 3.3 section methods.By formula (17)-(19), two indices are obtained finally
Entropy weight again be respectively 0.9028 and 0.0972.As it can be seen that power supply capacity index provided by the control indicator of costs than determining in example 1
Plan information is more, and compromise optimal solution should slightly be biased to the bigger point of power supply capacity.All Pareto are solved and carry out ideality sequence, choosing
Position of the compromise optimal solution in the forward position Pareto out is as shown.Compromise optimal solution correspond to the power supply capacity under scheme compare with
And the details of control cost are as shown in table 1, table 2.
By comparison, it was found that existing power grid such as takes no action to, the load that region 1 can allow to access is existing load
0.2017 times, and the principal element for influencing load access is the voltage at node 18.If carrying out the Collaborative Control of source net lotus and conjunction
In the case that reason arranges, power supply multiple can be increased to 2.2911.It is also possible to analyze the power supply capacity feelings in each region
Condition, as shown in table 3.
Bibliography
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(10):2705-2711.
[2] Wu strives, Cui Wenting, Long Yu, evaluates and invest analysis on its rationality [J] power train after waiting power distribution network investment results
System and its automation journal, 2016,28 (12): 96-102.
[3] Li Juan, Li Xiaohui, Liu Shuyong wait power distribution network Evaluation of Investment-Benefit of the based on ideal solution and grey relational grade
[J] east china electric power, 2012,40 (1): 13-17.
[4] Zhang Xinjie, Ge Shaoyun, Liu Hong wait intelligent distribution network comprehensive assessment system and method [J] electric power network technique,
2014,38 (1): 40-46.
[5] Li Zhuyun, Lei Xia, Qiu Shaoyin wait to consider the active distribution network coordinated planning of " source-net-lotus " tripartite's interests
[J] electric power network technique, 2017,41 (02): 378-387.
It will be appreciated by those skilled in the art that attached drawing is the schematic diagram of a preferred embodiment, the embodiments of the present invention
Serial number is for illustration only, does not represent the advantages or disadvantages of the embodiments.
The foregoing is merely presently preferred embodiments of the present invention, is not intended to limit the invention, it is all in spirit of the invention and
Within principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.
Claims (7)
1. a kind of quantization control method promoted applied to power distribution network power supply capacity, which is characterized in that the described method includes:
Existing power grid net capability is solved, and determines distribution network planning net capability increment；
It calculates power distribution network power supply capacity and promotes construction investment and operation control cost；It is selected using improved crossover operator and elite
It selects strategy and active distribution network power supply capacity and source net lotus control two target values of cost is judged and updated, based on non-dominant
Sequence obtains Pareto disaggregation；
The Pareto disaggregation of net capability, acquisition based on setting determines power supply investment planning scheme.
2. a kind of quantization control method promoted applied to power distribution network power supply capacity according to claim 1, feature exist
In the improved crossover operator specifically:
Wherein, A.rank indicates the non-dominated ranking grade as the individual A of former generation, and A.dist indicates gathering around for the individual A for working as former generation
Distance is squeezed, B.rank indicates the non-dominated ranking grade as the individual A of former generation, and B.dist indicates that the individual A's for working as former generation is crowded
Distance.
3. a kind of quantization control method promoted applied to power distribution network power supply capacity according to claim 1, feature exist
In the elitist selection strategy specifically:
The crowding distance for calculating all non-domination solutions in current level individual, deletes the wherein the smallest solution of crowding distance；
Remaining non-domination solution scale in current level individual is judged, under executing if reaching individual amount requirement to be selected
Otherwise one step executes previous step；
Export remaining non-domination solution in current level individual.
4. a kind of quantization control method promoted applied to power distribution network power supply capacity according to claim 1, feature exist
In, operation control cost include: distributed generation resource power output active management cost, in network reconfiguration switch motion cost and
The active management cost of Demand-side load.
5. a kind of quantization control method promoted applied to power distribution network power supply capacity according to claim 4, feature exist
In the distributed generation resource power output active management cost specifically:
In formula, CMTFor gas turbine power generation cost；CngIndicate unit combustion gas cost；PMTFor the active output power of gas turbine；
η is the operational efficiency of gas turbine.
6. a kind of quantization control method promoted applied to power distribution network power supply capacity according to claim 4, feature exist
In switch motion cost in the network reconfiguration specifically:
CSW=CRCSNRCS
Wherein, CRCSThe cost once generated for switch motion during network reconfiguration；NRCSIt is dynamic to be switched during network reconfiguration
The number of work.
7. a kind of quantization control method promoted applied to power distribution network power supply capacity according to claim 4, feature exist
In the active management cost of the Demand-side load specifically:
Wherein, cIL,lIndicate the contract price of interruptible load, kILIndicate idle cost coefficient, PIL,l、QIL,lIt is negative to respectively indicate interruption
The active and reactive power of lotus.
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