CN110350536A - A kind of Optimal Load based on most short recovery time turns for path calculation method - Google Patents
A kind of Optimal Load based on most short recovery time turns for path calculation method Download PDFInfo
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- CN110350536A CN110350536A CN201910442965.9A CN201910442965A CN110350536A CN 110350536 A CN110350536 A CN 110350536A CN 201910442965 A CN201910442965 A CN 201910442965A CN 110350536 A CN110350536 A CN 110350536A
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/04—Circuit arrangements for ac mains or ac distribution networks for connecting networks of the same frequency but supplied from different sources
- H02J3/06—Controlling transfer of power between connected networks; Controlling sharing of load between connected networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/24—Arrangements for preventing or reducing oscillations of power in networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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Abstract
The invention discloses a kind of Optimal Load based on most short recovery time turn for path calculation method, and in particular to field of power system, including four turn for path calculation method step and seven MOPSO algorithm steps.The present invention is by comprehensively considering maximum recovery load, rack balancing the load situation after restoration path time limit and recovery, understand load fluctuation situation during restoring, the network for capableing of sufficiently existing rack turns for ability, and electrical power distribution automatization system is given full play in the advantage for the scheme of restoring electricity, adapt to that there are three pairs of wiring, monocycle wiring is to have there is the power distribution network of fixed FA, ultimately form multiple target Pareto optimal solution set, overall merit is carried out again to there are multiple feasible solutions later, intelligence provides optimal case, and there are more set overall merit strategies for different seasons, so that the optimal path selected has more operability.
Description
Technical field
The present invention relates to field of power system, it is more particularly related to it is a kind of based on most short recovery time most
Excellent load transfer path calculation method.
Background technique
In recent years, with Chinese national economy continue, health development and people's goods and materials culture living standard it is continuous
It improves, the demand impetus to electric energy, which is shown in, to rise.With the development of electric utility, China's power industry payes attention to construction power supply from simple
And power transmission network, develop to the construction for reinforcing distribution network while building power supply and power transmission network.
It is inessential by the operation and part of switch after load transfer refers to that power distribution network breaks down and is isolated
The excision of load, under conditions of meeting security constraint, quickly while preferential recovery fault down stream important load power supply, also to the greatest extent
The power supply that may restore other loads has had many research all by different inspirations since the method for load transfer proposes
Formula algorithm solves this problem.It is directed to this problem at present, there are many schemes: the removal of load loss to minimize different weights
Expense, cost of losses, switch operating cost are target, and optimal supply path is found using genetic algorithm；Ant group algorithm is introduced,
With the minimum target of network loss after reconstruct；With the minimum objective function of loss of outage, TABU search is used on this basis
Algorithm carries out network reconfiguration；A kind of chaos immune algorithm is applied to power distribution network service restoration model；Respectively with can output power most
Greatly with the minimum objective function of line loss tiny increment, power distribution network service restoration model is solved using enhanced greedy algorithm.
But the mode provided in above-mentioned technical proposal, still there is more disadvantage, if circuit complexity, cannot quickly with
Optimum way solves the problems, such as that the uncertainty that especially distributed access introduces makes the difficulty of this problem solution become higher.
Summary of the invention
In order to overcome the drawbacks described above of the prior art, the embodiment of the present invention provide it is a kind of based on most short recovery time most
Excellent load transfer path calculation method, it is negative by rack after comprehensively considering maximum recovery load, restoration path time limit and restoring
Lotus balance understands load fluctuation situation during restoring, and the network for capableing of sufficiently existing rack turns for ability, and gives full play to
Electrical power distribution automatization system adapts to that there are three pairs of wiring, monocycle wiring in the advantage for the scheme of restoring electricity to have there is fixed FA
Power distribution network, ultimately form multiple target Pareto optimal solution set, carry out overall merit again to have multiple feasible solutions later, intelligence
Provide optimal case, and for different seasons have cover overall merit strategies so that the optimal path selected is with more can
Operability.
To achieve the above object, the invention provides the following technical scheme: a kind of Optimal Load based on most short recovery time
Turn for path calculation method, the specific steps are as follows:
Step 1: identification power failure feeder line path handles power failure substation each feed line, acquires and preceding bear that have a power failure
Lotus, and identify its affiliated type, identify that feeder line is single path feeder line or multipath feeder line according to the quantity of feeder line restoration path；
Step 2: collecting calculating parameter, and the initialization first stage calculates, and first stage calculating and setting is that single path feeder line is extensive
The calculating of multiple model, and being solved by branch and bound method, calculating single line diameter feeder line maximum restore electricity load；
Step 3: the initial parameter of modification second stage calculating simultaneously initializes MOPSO algorithm, in single path feeder line recovery side
After case is implemented, the original state of power distribution network changes, and modifies to second stage main transformer load factor, passes through MOPSO algorithm
The mathematical model of node voltage constrained solution formula is sought, the minimum restoring power-on time and maximum for calculating multipath feeder line restore electricity
Ability；
Step 4: carrying out the Optimal Decision-making of multiple target, concentrates in the feasible solution solution of multiple target and finds optimal solution.
In a preferred embodiment, single path feeder line restores the mathematical model target letter calculated in the step 2
Number is as follows:
It constrains as follows:
Wj=Xi≤min(Ri(1-ai),Li)
Wherein XiFor the load to be restored of single path feeder line, Xi> 0, n are the quantity of single path feeder line, and F is power failure power transformation
It stands the single path feeder line maximal workload that can restore, RiFor the capacity of trunk for shifting side, aiTo shift side actual loading rate, Li
For the load of feeder line before power loss, Ω 1 is the combination for all single path power failure feeder lines being transferred on same main transformer, TiTo turn
The limit of same main transformer is moved on to, limit is determined by the method for operation, biFor the load factor for shifting preceding main transformer；
In a preferred embodiment, the single path feeder line restores in the mathematical model objective function calculated calculating
It introduces slack variable and functional inequality constraint is turned into equality constraint, the objective function of model are as follows:
It constrains as follows:
Xi+X′i=min (Ri(1-ai),Li)
In a preferred embodiment, multipath feeder line restores the mathematical model target letter calculated in the step 3
Number is as follows:
The constraint of line load timeliness limit:
Wherein XjFor the load that can restore of multipath feeder line transfer, RjShift the capacity of trunk of side, ajTo shift side
Current load factor, LjThe load of feeder line j before power loss,For the load fluctuation factor, indicate load fluctuation before failure to first
The variable quantity of time internal loading between stage load recovery, WjFor load transfer time coefficient, calculation formula
It is as follows:
Wherein, u is the interconnection switch quantity that load transfer path needs, and k is that each contact of this transfer path is opened
It closes, CkInterconnection switch is closed the time it takes, C thuskPer unit value can be taken, basic dimension can be according to actual setting；
The constraint of main transformer limit:
Wherein Ω 1 is the combination for all multipath power failure feeder lines being transferred on same main transformer, TjIt is same to be transferred to
The limit of platform main transformer, limit determined by the method for operation, bjFor the load factor of main transformer after first stage transfer；
The structural constraint of multipath feeder line:
The expression of structural constraint establish it is assumed hereinafter that on the basis of: different multipath feeder lines can be transferred to same master
Become；One multipath feeder line transfer path at least two；The transferable path of one multipath feeder line cannot appear in simultaneously
In one mathematical model；All multipath feeder lines must be in a mathematical model；
Node voltage constraint:
Umin≤Ui≤Umax
Wherein Ui indicates that the voltage of remaining network node i, Umin indicate that minimum allowable voltage, Umax indicate maximum allowable electricity
Pressure；
The limitation of branch transimission power:
|Sbij|≤Smax bij
Wherein SbijAnd Smax bijRespectively route b represented by sideijTransmission capacity and maximum transfer capacity.
In a preferred embodiment, it after carrying out multiple-objection optimization using MOPSO algorithm in the step 3, obtains
One group of non-dominant disaggregation of Pareto selects ideal scheme from solution concentration and belongs to post-project evaluating process, is evaluated by AHP method more
The priority level of target, overall merit strategy is customizable, is suitble to different seasons.
In a preferred embodiment, the MOPSO algorithm steps are specific as follows:
S1, the objective function of input model and various constraint conditions；
S2, the initiation parameter for setting MOPSO, enable t=1；
S3, initialization particle position X1, initialize particle rapidity v1；
S4, global optimum's particle, global optimum particle optimal location X are solved based on crowding distance selection strategytpbest；
S5, adaptive weighting coefficient and particle renewal speed v are calculated1, whether out-of-limit speed is judged, if out-of-limit take boundary
Value；
S6, location updating Xt+1=Xt+vt, judge whether position is out-of-limit, if out-of-limit take boundary value, and reject repetition values；
S7, all particles obtain pareto Noninferior Solution Set after updating, export result.
Technical effect and advantage of the invention:
1, by comprehensively consider it is maximum restore load, restoration path time limit and restore after rack balancing the load situation,
Load fluctuation situation during solution is restored, the network for capableing of sufficiently existing rack turns for ability, and gives full play to power distribution automation system
It unites in the advantage for the scheme of restoring electricity, adapts to that there are three pairs of wiring, monocycle wiring to have there is the power distribution network of fixed FA, finally
Multiple target Pareto optimal solution set is formed, overall merit is carried out again to there are multiple feasible solutions later, intelligently provides optimal case,
And have more set overall merit strategies for different seasons, so that the optimal path selected has more operability；
2, pass through the power supply for using branch and bound method preferentially to turn to restore important load for path with single in the first stage, meter
It calculates its maximum and restores load, second stage modifies second stage main transformer load factor, in safety after the execution of scheme on last stage
Under operation constraint, the constraint by considering Distributing network structure characteristic and all single path feasible solutions of removing is feasible in solution space to reduce
The number of solution, while considering the switchyard of power distribution automation and difference of the switchyard on switch time of non-power distribution automation,
Restore electricity time and the capability model that restores electricity considered under multipath is solved using the particle swarm algorithm of multiple target
Feasible solution is put into preferred disaggregation by feasible solution, and preferred embodiment collection is finally carried out overall merit according to default weight and index and is come
Choose optimal solution.
3, pareto Noninferior Solution Set, compared with single object optimization, the solution of multi-objective optimization question are calculated by MOPSO algorithm
It is not unique, but there is a preferred disaggregation, referred to as Pareto optimal solution or non-dominant collection, Pareto is optimal indicate to be difficult to after
It is continuous to improve the circumstances reached, optimal solution is found by the cooperation between individual, can be improved treatment effeciency.
Detailed description of the invention
Fig. 1 is the overview flow chart of calculation method of the present invention.
Fig. 2 is the flow chart of MOPSO of the present invention.
Fig. 3 is the schematic diagram of single path feeder line of the present invention.
Fig. 4 is the schematic diagram of multipath feeder line of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
A kind of Optimal Load based on most short recovery time according to shown in Fig. 1-4 turns for path calculation method, specific to walk
It is rapid as follows:
Step 1: identification power failure feeder line path handles power failure substation each feed line, acquires and preceding bear that have a power failure
Lotus, and identify its affiliated type, identify that feeder line is single path feeder line or multipath feeder line according to the quantity of feeder line restoration path；
Step 2: collecting calculating parameter, and the initialization first stage calculates, and first stage calculating and setting is that single path feeder line is extensive
The calculating of multiple model, and being solved by branch and bound method, calculating single line diameter feeder line maximum restore electricity load；
It is as follows that single path feeder line restores the mathematical model objective function calculated:
It constrains as follows:
Wj=Xi≤min(Ri(1-ai),Li)
Wherein XiFor the load to be restored of single path feeder line, Xi> 0, n are the quantity of single path feeder line, and F is power failure power transformation
It stands the single path feeder line maximal workload that can restore, RiFor the capacity of trunk for shifting side, aiTo shift side actual loading rate, Li
For the load of feeder line before power loss, Ω 1 is the combination for all single path power failure feeder lines being transferred on same main transformer, TiTo turn
The limit of same main transformer is moved on to, limit is determined by the method for operation, biFor the load factor for shifting preceding main transformer；
It introduces slack variable and functional inequality constraint is turned into equality constraint, the objective function of model are as follows:
It constrains as follows:
Xi+X′i=min (Ri(1-ai),Li)
Step 3: the initial parameter of modification second stage calculating simultaneously initializes MOPSO algorithm, in single path feeder line recovery side
After case is implemented, the original state of power distribution network changes, and modifies to second stage main transformer load factor, passes through MOPSO algorithm
The mathematical model of node voltage constrained solution formula is sought, the minimum restoring power-on time and maximum for calculating multipath feeder line restore electricity
Ability；
It is as follows that multipath feeder line restores the mathematical model objective function calculated:
The constraint of line load timeliness limit:
Wherein XjFor the load that can restore of multipath feeder line transfer, RjShift the capacity of trunk of side, ajTo shift side
Current load factor, LjThe load of feeder line j before power loss,For the load fluctuation factor, indicate load fluctuation before failure to first
The variable quantity of time internal loading between stage load recovery, WjFor load transfer time coefficient, calculation formula
It is as follows:
Wherein, u is the interconnection switch quantity that load transfer path needs, and k is that each contact of this transfer path is opened
It closes, CkInterconnection switch is closed the time it takes, C thuskPer unit value can be taken, basic dimension can be according to actual setting；
The constraint of main transformer limit:
Wherein Ω 1 is the combination for all multipath power failure feeder lines being transferred on same main transformer, TjIt is same to be transferred to
The limit of platform main transformer, limit determined by the method for operation, bjFor the load factor of main transformer after first stage transfer；
The structural constraint of multipath feeder line:
The expression of structural constraint establish it is assumed hereinafter that on the basis of: different multipath feeder lines can be transferred to same master
Become；One multipath feeder line transfer path at least two；The transferable path of one multipath feeder line cannot appear in simultaneously
In one mathematical model；All multipath feeder lines must be in a mathematical model；
Node voltage constraint:
Umin≤Ui≤Umax
Wherein Ui indicates that the voltage of remaining network node i, Umin indicate that minimum allowable voltage, Umax indicate maximum allowable electricity
Pressure；
The limitation of branch transimission power:
|Sbij|≤Smax bij
Wherein SbijAnd Smax bijRespectively route b represented by sideijTransmission capacity and maximum transfer capacity；
After carrying out multiple-objection optimization using MOPSO algorithm, one group of non-dominant disaggregation of Pareto is obtained, concentrates and selects from solution
Ideal scheme belongs to post-project evaluating process, and the priority level of multiple target is evaluated by AHP method, and overall merit strategy is customizable,
Be suitble to different seasons, specific evaluation index has: the main transformer load factor of different priorities, major network are strong after transfer path
Shifting substation's priority height, (weight of the substation of different priorities in load factor weight is also different, by voltage class
The weight of 110KV, 35KV, 10KV, 3KV, 220V from high to low takes 0.9 respectively, 0.7,0.5,0.3,0.2)；Different significance levels
Load service restoration rate (significance level takes 0.9,0.6,0.3 from high to low)；Multipath feeder line restores electricity the time；Multichannel
In order to consider the Evaluation Strategy under Various Seasonal evaluation index is also added in season by the ability that restores electricity of diameter feeder line, it is contemplated that
Summer and winter restore electricity ability and the time that restores electricity it is more important, possess more weights；
Step 4: carrying out the Optimal Decision-making of multiple target, concentrates in the feasible solution solution of multiple target and finds optimal solution；
Embodiment specifically: the two stages load transfer strategy for considering different time scales considers different significance levels
Requirement of the load for the time that restores electricity it is different in the case of, the first stage uses branch and bound method preferentially with the road single Zhuan Gong
Diameter restores the power supply of important load, calculates its maximum and restores load, second stage is after the execution of scheme on last stage, modification the
Two-stage main transformer load factor, under safe operation constraint, by considering Distributing network structure characteristic and removing all single path feasible solutions
Constraint to reduce the number of feasible solution in solution space, while considering the switchyard of power distribution automation and opening for non-power distribution automation
Difference of the station on switch time is closed, is solved using the particle swarm algorithm of multiple target and considers restoring electricity the time under multipath
And the feasible solution for the capability model that restores electricity, feasible solution is put into preferred disaggregation, finally by preferred embodiment collection according to default power
Weight carries out overall merit with index to choose optimal solution, it is contemplated that net after maximum is restored load, restoration path time limit and restored
Frame balancing the load situation, it is contemplated that load fluctuation situation during recovery, the network for capableing of sufficiently existing rack turns for ability, and fills
Distribution waves electrical power distribution automatization system in the advantage for the scheme of restoring electricity, and adapts to that there are three pairs of wiring, monocycle wiring to have had
The power distribution network of fixed FA, ultimately forms multiple target Pareto optimal solution set, comments later the synthesis that carries out again for having multiple feasible solutions
Valence intelligently provides optimal case, and has more set overall merit strategies for different seasons, so that the optimal path selected is more
With operability.
A kind of Optimal Load based on most short recovery time according to Fig.2, turns for path calculation method, the MOPSO
Algorithm steps are specific as follows:
S1, the objective function of input model and various constraint conditions；
S2, the initiation parameter for setting MOPSO, enable t=1；
S3, initialization particle position X1, initialize particle rapidity v1；
S4, global optimum's particle, global optimum particle optimal location X are solved based on crowding distance selection strategytpbest；
S5, adaptive weighting coefficient and particle renewal speed v are calculated1, whether out-of-limit speed is judged, if out-of-limit take boundary
Value；
S6, location updating Xt+1=Xt+vt, judge whether position is out-of-limit, if out-of-limit take boundary value, and reject repetition values；
S7, all particles obtain pareto Noninferior Solution Set after updating, export result.
Embodiment specifically: compared with single object optimization, the solution of multi-objective optimization question is not unique, but there are one
It is preferred that disaggregation, referred to as Pareto optimal solution or non-dominant collection, the optimal expression of Pareto is difficult to continue to improve the circumstances reached, because
Other circumstances will be made impaired to change again, particle group optimizing (PSO) algorithm is Eberhart and Kennedy to a simplification
It is inspired and is proposed when social model is emulated, thought is derived from groups' social action, passes through the association between individual
Make searching optimal solution.
The several points that should finally illustrate are: the foregoing is only a preferred embodiment of the present invention, is not limited to this
Invention, all within the spirits and principles of the present invention, any modification, equivalent replacement, improvement and so on should be included in this hair
Within bright protection scope.
Claims (6)
1. a kind of Optimal Load based on most short recovery time turns for path calculation method, it is characterised in that: specific step is as follows:
Step 1: identification power failure feeder line path, power failure substation each feed line is handled, acquire with power failure preload, and
It identifies its affiliated type, identifies that feeder line is single path feeder line or multipath feeder line according to the quantity of feeder line restoration path；
Step 2: collecting calculating parameter, and the initialization first stage calculates, and first stage calculating and setting is that single path feeder line restores mould
The calculating of type, and being solved by branch and bound method calculates single line diameter feeder line maximum and restores electricity load；
Step 3: the initial parameter of modification second stage calculating simultaneously initializes MOPSO algorithm, applies in single path feeder line recovery scheme
After row, the original state of power distribution network changes, and modifies to second stage main transformer load factor, seeks section by MOPSO algorithm
The mathematical model of point voltage constrained solution formula, the minimum restoring power-on time and maximum for calculating multipath feeder line restore electricity energy
Power；
Step 4: carrying out the Optimal Decision-making of multiple target, concentrates in the feasible solution solution of multiple target and finds optimal solution.
2. a kind of Optimal Load based on most short recovery time according to claim 1 turns for path calculation method, special
Sign is: it is as follows to restore the mathematical model objective function calculated for single path feeder line in the step 2:
It constrains as follows:
Wj=Xi≤min(Ri(1-ai),Li)
Wherein XiFor the load to be restored of single path feeder line, Xi> 0, n are the quantity of single path feeder line, and F is power failure substation
The single path feeder line maximal workload that can restore, RiFor the capacity of trunk for shifting side, aiTo shift side actual loading rate, LiTo lose
The load of feeder line before electricity, Ω 1 are the combination for all single path power failure feeder lines being transferred on same main transformer, TiTo be transferred to
The limit of same main transformer, limit determined by the method for operation, biFor the load factor for shifting preceding main transformer.
3. a kind of Optimal Load based on most short recovery time according to claim 2 turns for path calculation method, special
Sign is: the single path feeder line restores to introduce slack variable in the mathematical model objective function calculated calculating for functional inequality
Constraint turns to equality constraint, the objective function of model are as follows:
It constrains as follows:
Xi+X′i=min (Ri(1-ai),Li)
。
4. a kind of Optimal Load based on most short recovery time according to claim 1 turns for path calculation method, special
Sign is: it is as follows to restore the mathematical model objective function calculated for multipath feeder line in the step 3:
The constraint of line load timeliness limit:
Wherein XjFor the load that can restore of multipath feeder line transfer, RjShift the capacity of trunk of side, ajBefore transfer sidelong glance
Load factor, LjThe load of feeder line j before power loss,For the load fluctuation factor, indicate load fluctuation before failure to the first stage
The variable quantity of time internal loading between load restoration, WjFor load transfer time coefficient, calculation formula is as follows:
Wherein, u is the interconnection switch quantity that load transfer path needs, and k is each interconnection switch of this transfer path, Ck
Interconnection switch is closed the time it takes, C thuskPer unit value can be taken, basic dimension can be according to actual setting；
The constraint of main transformer limit:
Wherein Ω 1 is the combination for all multipath power failure feeder lines being transferred on same main transformer, TjTo be transferred to same main transformer
Limit, limit determined by the method for operation, bjFor the load factor of main transformer after first stage transfer；
The structural constraint of multipath feeder line:
The expression of structural constraint establish it is assumed hereinafter that on the basis of: different multipath feeder lines can be transferred to same main transformer；One
Multipath feeder line transfer path at least two；The transferable path of one multipath feeder line cannot appear in a number simultaneously
It learns in model；All multipath feeder lines must be in a mathematical model；
Node voltage constraint:
Umin≤Ui≤Umax
Wherein Ui indicates that the voltage of remaining network node i, Umin indicate that minimum allowable voltage, Umax indicate maximum permissible voltage；
The limitation of branch transimission power:
|Sbij|≤Smaxbij
Wherein SbijAnd SmaxbijRespectively route b represented by sideijTransmission capacity and maximum transfer capacity.
5. a kind of Optimal Load based on most short recovery time according to claim 1 turns for path calculation method, special
Sign is: after carrying out multiple-objection optimization using MOPSO algorithm in the step 3, one group of non-dominant disaggregation of Pareto is obtained, from
Solution concentration selects ideal scheme and belongs to post-project evaluating process, passes through the priority level that AHP method evaluates multiple target, overall merit
Strategy is customizable, is suitble to different seasons.
6. a kind of Optimal Load based on most short recovery time according to claim 1 turns for path calculation method, special
Sign is: the MOPSO algorithm steps are specific as follows:
S1, the objective function of input model and various constraint conditions；
S2, the initiation parameter for setting MOPSO, enable t=1；
S3, initialization particle position X1, initialize particle rapidity v1；
S4, global optimum's particle, global optimum particle optimal location X are solved based on crowding distance selection strategytpbest；
S5, adaptive weighting coefficient and particle renewal speed v are calculated1, whether out-of-limit speed is judged, if out-of-limit take boundary value；
S6, location updating Xt+1=Xt+vt, judge whether position is out-of-limit, if out-of-limit take boundary value, and reject repetition values；
S7, all particles obtain pareto Noninferior Solution Set after updating, export result.
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| CN111952972A (en) * | 2020-08-19 | 2020-11-17 | 中国能源建设集团湖南省电力设计院有限公司 | Main distribution integrated load transfer method for high-quality power supply service |
| CN113542115A (en) * | 2020-04-22 | 2021-10-22 | 国家电网有限公司 | SDN power communication network-based data path determination method, device and system |
| CN114056168A (en) * | 2021-10-28 | 2022-02-18 | 广东电网有限责任公司广州供电局 | Charging station power supply method, control device, computer equipment and storage medium |
| CN114362141A (en) * | 2021-12-03 | 2022-04-15 | 国网北京市电力公司 | Power supply system load recovery method combining heuristic algorithm and particle swarm optimization |
| CN116756893A (en) * | 2023-06-16 | 2023-09-15 | 深圳讯道实业股份有限公司 | Power transmission and distribution cable layout and control method applied to industrial and mining control system |
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| CN111952972A (en) * | 2020-08-19 | 2020-11-17 | 中国能源建设集团湖南省电力设计院有限公司 | Main distribution integrated load transfer method for high-quality power supply service |
| CN111952972B (en) * | 2020-08-19 | 2023-08-01 | 中国能源建设集团湖南省电力设计院有限公司 | Main-auxiliary integrated load transfer method for high-quality power supply service |
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| CN114056168B (en) * | 2021-10-28 | 2024-04-12 | 广东电网有限责任公司广州供电局 | Charging station power supply method, control device, computer equipment and storage medium |
| CN114362141A (en) * | 2021-12-03 | 2022-04-15 | 国网北京市电力公司 | Power supply system load recovery method combining heuristic algorithm and particle swarm optimization |
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| CN116756893A (en) * | 2023-06-16 | 2023-09-15 | 深圳讯道实业股份有限公司 | Power transmission and distribution cable layout and control method applied to industrial and mining control system |
| CN116756893B (en) * | 2023-06-16 | 2024-01-05 | 深圳讯道实业股份有限公司 | Power transmission and distribution cable layout and control method applied to industrial and mining control system |
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