CN107180303A - A kind of distribution network planning method managed based on overall life cycle cost - Google Patents
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Abstract
The invention discloses a kind of distribution network planning method managed based on overall life cycle cost, procedure below is included：On the premise of power network safety operation is met, provide the computation model of power distribution network planning scheme overall life cycle cost, with the minimum object function of overall life cycle cost, distribution path planning is optimized using cluster exclusion niche genetic algorithm, the minimum distribution planning scheme of life cycle management is obtained by carrying out Life Cycle Cost comparative analysis to different switch arrangements.The feasibility and validity of this method are proved finally by example.The present invention is that the operating benefit of distribution network planning, operation and transformation and Utilities Electric Co. provides new analysis method and deCislon theoretic aid foundation, and the technology of optimization power network preparation obtains the optimal programme of economy.
Description
Technical field
The present invention relates to field of distribution network, and in particular to a kind of distribution network planning side managed based on overall life cycle cost
Method.
Background technology
The power distribution network network planning refer to meet to customer power supply and the network operation constraint on the premise of, seek one group it is optimal
Decision variable (power transformation station location and capacity, the path of feeder line and size etc.), make investment, operation, maintenance, network loss and reliability
Failure costs sum is minimum, makes programme economy while service requirement is met optimal.
Traditional distribution network planning meets the predetermined reliability of certain load level, life-cycle with minimum system investments
The distribution network planning of life cycle costing has considered the cost in each stage of power network construction project, coordinated power network reliability and
Economy.
Traditional distribution network planning system investments mainly consider the early investment capital of power network project, ignore the project implementation
Rear operation, many follow-up links such as repair, renovate and scrap, more lack to social cost in programme life cycle management
The overall consideration of (such as loss of outage cost, environmentally friendly cost).
In the long run, the operating cost of programme, maintenance cost, social cost are significantly larger than its construction cost,
And the height of construction cost can produce very big shadow to the height of following operation cost, maintenance cost and social cost in advance
Ring, high construction cost may bring being greatly lowered for following operation maintenance cost, so that programme is in the whole longevity
Cost reduction in the life cycle.
Therefore, it is necessary to carry out distribution network planning from the life cycle management angle of power grid construction, economy is obtained optimal
Programme.
The content of the invention
It is an object of the present invention to provide a kind of distribution network planning method managed based on overall life cycle cost, power network is being met
On the premise of safe and stable operation, by providing the computation model of power distribution network planning scheme overall life cycle cost, with the life-cycle
The minimum object function of life cycle costing, is optimized to distribution path planning using cluster exclusion niche genetic algorithm, passed through
Life Cycle Cost comparative analysis is carried out to different switch arrangements and obtains the minimum distribution planning side of life cycle management
Case.The feasibility and validity of this method are proved finally by example.So as to reach the technology of optimization power network preparation, obtain economical
The purpose of the optimal programme of property.
In order to realize the above object the present invention is achieved through the following technical solutions：
A kind of distribution network planning method managed based on overall life cycle cost, includes procedure below：
On the premise of power network safety operation is met, the calculating of power distribution network planning scheme overall life cycle cost is set up
Model, for calculating overall life cycle cost；
The computation model of the overall life cycle cost is further included：Overall life cycle cost model and distribution network planning
Mathematical modeling；
With the minimum object function of life cycle management present value cost, and using programme reliability, system load flow as about
Beam condition, sets up the optimized mathematical model of distribution network planning；
It is not all that variable is carried out to distribution path planning with switch arrangement to squeeze niche genetic algorithm using cluster
Optimization obtains the minimum programme of overall life cycle cost.
Preferably, the overall life cycle cost is included：Disposable input cost B1, operating cost B2, maintenance cost B3,
Failure cost B4With obsolescence cost B5。
Preferably, the disposable input cost B1
In formula：BeiFor equipment investment expense, BiFor i-th kind of equipment purchase cost and construction and installation cost, M is all kinds of distribution
The summation of net number of devices, niFor the quantity of i-th kind of equipment, BdsFor the cost of design phase.
Preferably, operating cost B2In electric energy loss B21
B21=Δ WS×CP
ΔWS=Δ Pmax×τmax
In formula：Cp is electricity price, Δ WSFor annual energy loss, △ P max are the power attenuation of power network, τmaxIt is negative for maximum
The time is lost in lotus.
Preferably, the maintenance cost B3
In formula：λiFor the i-th kind equipment annual maintenance frequency, M is the summation of all kinds of Distribution Network Equipment quantity；RBiFor i-th
The averagely each comprehensive maintenance expense of kind equipment, including overhaul of the equipments expense and maintainer's expense.
Preferably, the failure cost B4Comprising：Loss of outage B41, social influence loss B41, wherein loss of outage B41
In formula：M counts for the load of power distribution network；RovenFor electricity production ratio, unit is member/kWh；EENSi is interior during studying
The expected loss of energy of load bus is calculated by system reliability and obtained；
B is lost in social influence42
B is lost in social influence42Further include：Environmental pollution prevention and control expense and socio-intangible asset expense.
Preferably, the obsolescence cost B5
In formula：BiedThe expense paid for needed for i-th kind of equipment of disposal, BierFor i-th kind of remanent value of equipment.
Preferably, the optimized mathematical model of the distribution network planning：
Constraints：
AP=D；
Pi<Pimax；
The radial networks method of operation；
In formula：A is node incidence matrix；P is network trend；D is workload demand；PiFor Branch Power Flow PimaxFor branch road most
It is big to allow capacity；LCC is equipment overall life cycle cost；Per year the present worth of cost of investment and, N
For engineering project life cycle, r is discount rate；Discount factor；U1It is overload penalty coefficient；L is network
Overload part, it is calculated by the load uncertainty of network and obtained；U2It is non-radiation network penalty value, it is enough by setting
Preferentially eliminate the value of infeasible solution；Trend constraint is realized by the Load flow calculation based on forward-backward sweep method；Letter is penalized by construction
Several methods realizes capacity-constrained and radial constraint.
Preferably, the cluster exclusion niche genetic algorithm includes procedure below：
S1 sets up encoding scheme；
The initialization of S2 populations；
S3 judges subprogram by radiation network；
Random generation initial individuals composition initial population, and clustering distance is set；
All individuals in population are subjected to descending sort by fitness value, fitness highest individual is set in cluster
Some individuals are referred to the center by the heart according to inter- object distance；
The repeat step S2 in remaining individual, until classification terminates；
Fitness sharing niche genetic algorithm is carried out in each microhabitat；
Determine whether extreme point, be unsatisfactory for return to step S2, if meeting end condition, output result, algorithm terminates.
Preferably, the S1 encoding schemes are further included：
Distribution network can be expressed as the combination of circuit, and the topological structure of network is changed by changing the state of circuit；
Circuit is represented with 0 or 1,0 expression the circuit do not have it is selected, 1 represent the circuit be selected；Every circuit occupies the one of chromosome
Individual gene, the length of chromosome is equal to the sum of planning circuit.
The initialization of the S2 populations is further included：The spanning tree of alternative network is randomly generated, genetic algorithm is used as
Initial solution so that initial solution is radial feasible solution.
The S3 radiation networks judge that subprogram is further included：Radiation network is carried out using layering breadth-first search to sentence
It is disconnected；Using transformer station as root node, all child nodes being attached thereto are searched for as the root node of search next time, these roots are searched again for
The child node of node, until traveling through all nodes；If some node is found in algorithm performs enters line number more than 1, it is judged as
Non-radiative net, it is a non-radiative net penalty value for being enough preferentially to eliminate infeasible solution that should assign corresponding adaptive value.
The present invention has advantages below compared with prior art：
On the premise of power network safety operation is met, by providing power distribution network planning scheme overall life cycle cost
Computation model, with the minimum object function of overall life cycle cost, using cluster exclusion niche genetic algorithm to distribution path
Planning is optimized, and life cycle management is obtained by carrying out Life Cycle Cost comparative analysis to different switch arrangements
Minimum distribution planning scheme.The feasibility and validity of this method are proved finally by example.So as to reach that optimization power network is matched somebody with somebody
The technology of system, obtains the optimal programme of economy.
The present invention is distribution network planning, operation and transform and Utilities Electric Co. operating benefit provide new analysis method and
DeCislon theoretic aid foundation, further perfect overall life cycle cost manages the application in Electric Power Network Planning engineering.
The present invention, which can be obtained, combines clustering with Crowing Mechanism, can effectively search for global extremum point,
Simultaneously can be by adjusting minimum cluster radius, the microhabitat number that control convergence is arrived, it is to avoid find invalid extreme point.
Brief description of the drawings
Fig. 1 is the test network topological diagram of embodiments of the invention.
Embodiment
Below in conjunction with accompanying drawing, by describing a preferably specific embodiment in detail, the present invention is further elaborated.
On the premise of power network safety operation is met, the calculating of power distribution network planning scheme overall life cycle cost is provided
Model, with the minimum object function of overall life cycle cost, using cluster exclusion niche genetic algorithm to distribution path planning
Optimize, life cycle management minimum is obtained by carrying out Life Cycle Cost comparative analysis to different switch arrangements
Distribution planning scheme.The feasibility and validity of this method are proved finally by example.By carrying out switch weight to power distribution network
Structure, so as to reach the purpose that drop is damaged.
A kind of distribution network planning method managed based on overall life cycle cost of the present invention, includes procedure below：First, set up
The computation model of power distribution network planning scheme overall life cycle cost
Distribution network planning overall life cycle cost model includes overall life cycle cost model and distribution network planning model.
1) overall life cycle cost model
1. disposable input cost B1
Equipment purchase cost, the construction and installation cost of design cost, construction period including the design phase.In formula：BeiFor
Equipment investment expense, BiFor i-th kind of equipment purchase cost and construction and installation cost, M is the summation of all kinds of Distribution Network Equipment quantity,
niFor the quantity of i-th kind of equipment, BdsFor the cost of design phase.
2. operating cost B2
Operating cost B2Include the summation of power distribution network entire cost required during running, i.e., including equipment loss
Take, operating staff training expense etc..Equipment loss takes the electric energy loss for only considering circuit in the present embodiment.
Electric energy loss B21:
B21=Δ WS×CP (2)
ΔWS=Δ Pmax×τmax (3)
In formula：Cp is electricity price, Δ WSFor annual energy loss, △ P max are the power attenuation of power network, τmaxIt is negative for maximum
The time is lost in lotus.
B22The cost such as take for operating staff training.
3. maintenance cost B3
Maintenance cost B3Including expenses such as maintainer's expense, equipment fault maintenance, in whole equipment life cycle.
In formula：λiFor the i-th kind equipment annual maintenance frequency, M is the summation of all kinds of Distribution Network Equipment quantity；RBiFor i-th
The averagely each comprehensive maintenance expense of kind equipment, including overhaul of the equipments expense and maintainer's expense.
4. failure cost B4
Failure cost B4The economic loss caused mainly due to fault outage to power network and user.It is main to include having a power failure
Loss, social influence loss etc..
Loss of outage B41:
In formula：M counts for the load of power distribution network；RovenFor electricity production ratio, unit is member/kWh；EENSi is interior during studying
The expected loss of energy of load bus is calculated by system reliability and obtained.
B is lost in social influence42:
B is lost in social influence42Mainly include：Environmental pollution prevention and control expense, socio-intangible asset expense etc..
5. obsolescence cost B5
Obsolescence cost B5Refer to expense needed for equipment carries out various rehabilitations during retired.It is necessary kind except paying
Outside post processing expense, some remanent value of equipment can also be reclaimed.
In formula：BiedThe expense paid for needed for i-th kind of equipment of disposal, BierFor i-th kind of remanent value of equipment.
2) distribution network planning mathematical modeling
Using overall life cycle cost theory carry out distribution network planning, with power distribution network planning scheme life cycle management present worth into
This minimum object function, with programme reliability, system load flow etc. for constraints, sets up the optimization mould of distribution network planning
Type is shown below：
Constraints：
AP=D；
Pi<Pimax；
The radial networks method of operation.
In formula：A is node incidence matrix；P is network trend；D is workload demand；PiFor Branch Power Flow PimaxFor branch road most
It is big to allow capacity；LCC is equipment overall life cycle cost；Per year the present worth of cost of investment and, N
For engineering project life cycle, r is discount rate；
Discount factor；U1It is overload penalty coefficient；L is the overload of network (i.e. more than circuit
Maximum permissible load) part, its numerical value can be calculated by the load uncertainty of network and tried to achieve；U2It is non-radiation network penalty value,
It is very big with preferentially superseded infeasible solution that it should be set.Wherein trend constraint can pass through the trend based on forward-backward sweep method
Calculate to realize；Capacity-constrained and radial constraint are all realized by constructing the method for penalty function.
2nd, cluster exclusion niche genetic algorithm in distribution network planning.
1. encoding scheme
Distribution network can be expressed as the combination of circuit, and the topological structure of network is changed by changing the state of circuit.
Circuit is represented with 0 or 1,0 expression the circuit do not have it is selected, 1 represent the circuit be selected, every circuit occupies the one of chromosome
Individual gene, the length of chromosome is equal to the sum of planning circuit.
2. the initialization of population
The radial constraint of power distribution network is considered, if can obtain substantial amounts of infeasible using random device initialization population
Solution, this will influence the speed of optimizing.The knowledge of graph theory is used herein, is randomly generated the spanning tree of alternative network, is used as heredity
The initial solution of algorithm so that initial solution is radial feasible solution.
3. radiation network judges subprogram
After gene intersects and makes a variation, the programme representated by chromosome, which differs, is set to radiation network, it is therefore desirable to enter
Row radiation network judges that this patent carries out radiation network judgement using layering breadth-first search.Using transformer station as root node, search
All child nodes that rope is attached thereto search again for the child node of these root nodes as the root node of search next time, by that analogy,
Until traveling through all nodes.If some node is found in algorithm performs enters line number more than 1, it is judged as non-radiative net, should assigns
Give corresponding one sizable penalty value of adaptive value.
4. the basic step of algorithm
Random generation initial individuals composition initial population, and clustering distance is set.
All individuals in population are subjected to descending sort by fitness value, fitness highest individual is set in cluster
Some individuals are referred to the center by the heart according to inter- object distance.
2. repeat step, terminates until classifying in remaining individual.
Fitness sharing niche genetic algorithm is carried out in each microhabitat.
Determine whether extreme point, be unsatisfactory for return to step 2., if meeting end condition, output result, algorithm terminates.
The present embodiment by overall life cycle cost model and distribution network planning mathematical modeling specifically, calculated：
Algorithm parameter：Population Size is set to 198, maximum iteration 52.Electricity price Cp=0.61 members/k Wh, discount rate is r
=5%, ratio is produced electricity for 9.63 yuan/k Wh, 15.98 ten thousand yuan of transformer reference price, 0.225 ten thousand yuan of disconnecting switch reference price,
0.044 ten thousand yuan of fuse reference price, yuan/kilometer of main feeder reference price 210,000, yuan/kilometer of branch line reference price 110,000,
Programme life cycle 20 years.
By clustering exclusion niche genetic algorithm in distribution network planning, the topology diagram of system is drawn, such as Fig. 1 institutes
Show, be certain substation topology figure, determine each node and on off state, and circuit and node parameter, 1~7 is load bus,
Other nodes A~I is branch node.As shown in Table 1 and Table 2.Sequence number 1-11 represents load bus, and sequence number (1)-(11) represent line
Road, the on off state before reconstruct is：Switch (10) and (11) to disconnect, rest switch is closed.
Optimization program has been worked out using Visual studio2015 in the present embodiment.6 kinds of different modes of connection are carried out
Calculate, 6 kinds of different modes of connection are：(1) basic routing line has disconnecting switch, has branch line protection, there is stand-by power supply, without standby
Use transformer；(2) basic routing line is without disconnecting switch, no branch line protection, no stand-by power supply, no spare transformer；(3) backbone
There are branch line protection, no stand-by power supply, no spare transformer in road without disconnecting switch；(4) basic routing line has disconnecting switch, nothing point
Branch line is protected, and has stand-by power supply, no spare transformer；(5) basic routing line has disconnecting switch, has branch line protection, there is standby electricity
, there is spare transformer in source；(6) basic routing line has disconnecting switch, no branch line protection, no stand-by power supply, no spare transformer.
Table 1 is programme optimal path
Table 2 is power network planning scheme LCC assessment result (units:Ten thousand yuan)
| Cost | Scheme 1 | Scheme 2 | Scheme 3 | Scheme 4 | Scheme 5 | Scheme 6 |
| B1 | 232.53 | 231.42 | 231.56 | 232.23 | 343.89 | 232.06 |
| B2 | 266.38 | 266.38 | 266.32 | 266.33 | 266.35 | 266.32 |
| B3 | 80.13 | 79.72 | 79.83 | 80.09 | 118.52 | 80.01 |
| B4 | 157.98 | 953.43 | 169.31 | 311.39 | 42.82 | 620.23 |
| B5 | 0.7255 | 0.7217 | 0.7229 | 0.7246 | 1.0731 | 0.7241 |
| LCC | 737.81 | 1531.5 | 747.92 | 890.79 | 772.72 | 1199.5 |
As it can be seen from table 1 selecting the minimum path planning schemes of LCC, different roads according to overall life cycle cost
Footpath scheme, the equipment and reliability that distribution network is installed is differed, then the cost such as input cost, operation maintenance and failure is different,
The totle drilling cost of the life cycle management of scheme is also different, and the corresponding optimal path of the different modes of connection is different.
From table 2 it can be seen that scheme 1 is based on the minimum optimum programming scheme of power network overall life cycle cost, this scheme
Path planning and switchgear configuration realize power distribution network security and economy compromise, be optimum programming scheme.
In summary, the present invention has following advantageous effects：It is that distribution network planning, operation and transformation and electric power are public
The operating benefit of department provides new analysis method and deCislon theoretic aid foundation, further perfect overall life cycle cost management
Application in Electric Power Network Planning engineering.
Although present disclosure is discussed in detail by above preferred embodiment, but it should be appreciated that above-mentioned
Description is not considered as limitation of the present invention.After those skilled in the art have read the above, for the present invention's
A variety of modifications and substitutions all will be apparent.Therefore, protection scope of the present invention should be limited to the appended claims.
Claims (10)
1. a kind of distribution network planning method managed based on overall life cycle cost, it is characterised in that include procedure below：
On the premise of power network safety operation is met, the calculating mould of power distribution network planning scheme overall life cycle cost is set up
Type, for calculating overall life cycle cost；
The computation model of the overall life cycle cost is further included：Overall life cycle cost model and distribution network planning mathematics
Model；
With the minimum object function of life cycle management present value cost, and
Using programme reliability, system load flow as constraints, the optimized mathematical model of distribution network planning is set up；
It is not all that variable is optimized to distribution path planning with switch arrangement to squeeze niche genetic algorithm using cluster
Obtain the minimum programme of overall life cycle cost.
2. a kind of distribution network planning method managed based on overall life cycle cost as claimed in claim 1, it is characterised in that institute
Overall life cycle cost is stated to include：Disposable input cost B1, operating cost B2, maintenance cost B3, failure cost B4With discarding into
This B5。
3. a kind of distribution network planning method managed based on overall life cycle cost as claimed in claim 2,
Characterized in that,
Disposable input cost B1
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In formula：BeiFor equipment investment expense, BiFor i-th kind of equipment purchase cost and construction and installation cost, M is that all kinds of power distribution networks are set
The summation of standby quantity, niFor the quantity of i-th kind of equipment, BdsFor the cost of design phase.
4. a kind of distribution network planning method managed based on overall life cycle cost as claimed in claim 2,
Characterized in that,
Operating cost B2In electric energy loss B21
B21=Δ WS×CP
ΔWS=Δ Pmax×τmax
In formula：Cp is electricity price, Δ WSFor annual energy loss, △ P max are the power attenuation of power network, τmaxIt is lost for peak load
Time.
5. a kind of distribution network planning method managed based on overall life cycle cost as claimed in claim 2,
Characterized in that,
Maintenance cost B3
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In formula：λiFor the i-th kind equipment annual maintenance frequency, M is the summation of all kinds of Distribution Network Equipment quantity；RBiSet for the i-th class
Standby average each comprehensive maintenance expense, including overhaul of the equipments expense and maintainer's expense.
6. a kind of distribution network planning method managed based on overall life cycle cost as claimed in claim 2,
Characterized in that,
Failure cost B4Comprising：Loss of outage B41, social influence loss B41, wherein
Loss of outage B41
<mrow>
<msub>
<mi>B</mi>
<mn>41</mn>
</msub>
<mo>=</mo>
<msubsup>
<mi>&Sigma;</mi>
<mrow>
<mi>i</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mi>m</mi>
</msubsup>
<mi>R</mi>
<mi>o</mi>
<mi>v</mi>
<mi>e</mi>
<mi>n</mi>
<mo>&times;</mo>
<mi>E</mi>
<mi>E</mi>
<mi>N</mi>
<mi>S</mi>
<mi>i</mi>
</mrow>
In formula：M counts for the load of power distribution network；RovenFor electricity production ratio, unit is member/kWh；EENSi is internal loading section during studying
The expected loss of energy of point is calculated by system reliability and obtained；
B is lost in social influence42
B is lost in social influence42Further include：Environmental pollution prevention and control expense and socio-intangible asset expense.
7. a kind of distribution network planning method managed based on overall life cycle cost as claimed in claim 2,
Characterized in that,
Obsolescence cost B5
<mrow>
<msub>
<mi>B</mi>
<mn>5</mn>
</msub>
<mo>=</mo>
<msubsup>
<mi>&Sigma;</mi>
<mi>i</mi>
<mi>M</mi>
</msubsup>
<msub>
<mi>B</mi>
<mrow>
<mi>i</mi>
<mi>e</mi>
<mi>d</mi>
</mrow>
</msub>
<mo>-</mo>
<msub>
<mi>B</mi>
<mrow>
<mi>i</mi>
<mi>e</mi>
<mi>r</mi>
</mrow>
</msub>
</mrow>
In formula：BiedThe expense paid for needed for i-th kind of equipment of disposal, BierFor i-th kind of remanent value of equipment.
8. a kind of distribution network planning method managed based on overall life cycle cost as claimed in claim 1, it is characterised in that institute
State the optimized mathematical model of distribution network planning：
Constraints：
AP=D；
Pi<Pimax；
The radial networks method of operation；
In formula：A is node incidence matrix；P is network trend；D is workload demand；PiFor Branch Power Flow PimaxPermit for branch road maximum
Perhaps capacity；LCC is equipment overall life cycle cost；Per year the present worth of cost of investment and, N is work
Journey project life cycle, r is discount rate；Discount factor；U1It is overload penalty coefficient；L is the mistake of network
The part of load, it is calculated by the load uncertainty of network and obtained；U2It is non-radiation network penalty value, it is enough preferentially by setting
Eliminate the value of infeasible solution；Trend constraint is realized by the Load flow calculation based on forward-backward sweep method；By constructing penalty function
Method realizes capacity-constrained and radial constraint.
9. a kind of distribution network planning method managed based on overall life cycle cost as claimed in claim 1,
Characterized in that, the cluster exclusion niche genetic algorithm includes procedure below：
S1 sets up encoding scheme；
The initialization of S2 populations；
S3 judges subprogram by radiation network；
Random generation initial individuals composition initial population, and clustering distance is set；
All individuals in population are subjected to descending sort by fitness value, fitness highest individual is set to cluster centre, root
Some individuals are referred to the center according to inter- object distance；
The repeat step S2 in remaining individual, until classification terminates；
Fitness sharing niche genetic algorithm is carried out in each microhabitat；
Determine whether extreme point, be unsatisfactory for return to step S2, if meeting end condition, output result, algorithm terminates.
10. a kind of distribution network planning method managed based on overall life cycle cost as claimed in claim 9,
Characterized in that,
The S1 encoding schemes are further included：
Distribution network can be expressed as the combination of circuit, and the topological structure of network is changed by changing the state of circuit；
Circuit is represented with 0 or 1,0 expression the circuit do not have it is selected, 1 represent the circuit be selected；
Every circuit occupies a gene of chromosome, and the length of chromosome is equal to the sum of planning circuit；The S2 populations
Initialization is further included：
The spanning tree of alternative network is randomly generated, the initial solution of genetic algorithm is used as so that initial solution is radial feasible
Solution；
The S3 radiation networks judge that subprogram is further included：
Radiation network judgement is carried out using layering breadth-first search；
Using transformer station as root node, all child nodes being attached thereto are searched for as the root node of search next time, these are searched again for
The child node of root node, until traveling through all nodes；
If some node is found in algorithm performs enters line number more than 1, it is judged as non-radiative net, corresponding adaptive value should be assigned
For a non-radiative net penalty value for being enough preferentially to eliminate infeasible solution.
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| CN108062604A (en) * | 2018-01-05 | 2018-05-22 | 国网河南省电力公司 | A kind of distribution network planning method of meter and network reconfiguration |
| CN109359740A (en) * | 2018-11-02 | 2019-02-19 | 北京华如科技股份有限公司 | Motor-driven route optimal selection method and storage medium based on more habitat genetic algorithms |
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| CN108062604A (en) * | 2018-01-05 | 2018-05-22 | 国网河南省电力公司 | A kind of distribution network planning method of meter and network reconfiguration |
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| CN109995026A (en) * | 2019-03-22 | 2019-07-09 | 国网浙江省电力有限公司电力科学研究院 | A kind of mixing alternating current-direct current Distribution network integration planning method based on genetic algorithm |
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| CN110232642B (en) * | 2019-06-28 | 2021-07-09 | 国网河北省电力有限公司经济技术研究院 | Topology planning and optimizing method and device for power failure risk prevention |
| WO2021102623A1 (en) * | 2019-11-25 | 2021-06-03 | 上海电气风电集团股份有限公司 | Planning method and system for cable path of wind power plant, medium, and electronic device |
| CN111581772A (en) * | 2020-03-31 | 2020-08-25 | 国网经济技术研究院有限公司 | Configuration scheme optimization method and system for power distribution network |
| CN111581772B (en) * | 2020-03-31 | 2023-06-02 | 国网经济技术研究院有限公司 | Configuration scheme optimization method and system for power distribution network |
| CN112670991A (en) * | 2021-01-21 | 2021-04-16 | 广西电网有限责任公司电力科学研究院 | Power grid lightning protection management optimization method based on sag loss of sensitive users |
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