CN107681670A - Power network distribution idle work optimization method - Google Patents

Power network distribution idle work optimization method Download PDF

Info

Publication number
CN107681670A
CN107681670A CN201710483144.0A CN201710483144A CN107681670A CN 107681670 A CN107681670 A CN 107681670A CN 201710483144 A CN201710483144 A CN 201710483144A CN 107681670 A CN107681670 A CN 107681670A
Authority
CN
China
Prior art keywords
branch road
msub
mrow
distribution
distribution system
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201710483144.0A
Other languages
Chinese (zh)
Inventor
潘艳红
杨继革
王翔
郑波
胡斌
王晓东
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
State Grid Corp of China SGCC
Quzhou Power Supply Co of State Grid Zhejiang Electric Power Co Ltd
Original Assignee
State Grid Corp of China SGCC
Quzhou Power Supply Co of State Grid Zhejiang Electric Power Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by State Grid Corp of China SGCC, Quzhou Power Supply Co of State Grid Zhejiang Electric Power Co Ltd filed Critical State Grid Corp of China SGCC
Priority to CN201710483144.0A priority Critical patent/CN107681670A/en
Publication of CN107681670A publication Critical patent/CN107681670A/en
Pending legal-status Critical Current

Links

Classifications

    • 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
    • H02J3/18—Arrangements for adjusting, eliminating or compensating reactive power in networks
    • 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
    • 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
    • H02J3/008—Circuit arrangements for ac mains or ac distribution networks involving trading of energy or energy transmission rights
    • 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]
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/30—Reactive power compensation

Landscapes

  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The present invention relates to a kind of power network distribution idle work optimization method, solve the deficiencies in the prior art, technical scheme is：Following steps：A, obtain the basic parameter of target grid；B, read power network distribution candidate compensation buses and Distribution system branch road；C, determine the optimization object function of target grid；D, select power network distribution candidate compensation buses to carry out the optimal selection of Distribution system branch road using shuffled frog leaping algorithm and perform corresponding actions.The comprehensive idle work optimization of the present invention and two technologies of Distribution system, establish with the distribution Integrated Optimization Model of the minimum target of year comprehensive cost, solved using shuffled frog leaping algorithm, network loss, lifting node voltage can not only further be reduced, the economy of reactive-load compensation is also taken into full account, so that distribution complex optimum more conforms to economy principle, moreover it is possible to fully excavates the value of complex optimum economically.

Description

Power network distribution idle work optimization method
Technical field
This patent is related to power grid construction method, and in particular to a kind of power network distribution idle work optimization method.
Background technology
Distribution idle work optimization is typically by pinpointing switching reactive-load compensation equipment Distribution system and distribution idle work optimization is used as and matched somebody with somebody 2 important technicals of network optimizationization operation, it is ensureing the quality of power supply, is reducing via net loss etc. important role. Distribution system obtains the network topology knot under optimum optimization desired value to realize active damage by changing the closure of network switching Consumption minimizes and ensures higher voltage level.Substantially, Distribution system is nonlinear combinatorial optimization problem, distribution idle work optimization It is nature of nonlinear integral programming problem, the complex optimum of the two make it that the solution of problem is more complicated, for this problem, prior art Using the method for first reconstructing post-compensation alternating iteration.Also have and optimized respectively based on reconstruct and idle work optimization, all employed Intelligent algorithm solves, and compared to alternative iteration method, improves computational accuracy, but these prior arts are not truly synchronous It is reconstructed and idle work optimization, the potential value of complex optimum is not well studied and excavated.Meanwhile above distribution integrates Optimizing research does not consider the economy of reactive-load compensation using network loss as optimization aim.
The content of the invention
It is an object of the invention to solve above-mentioned prior art distribution complex optimum research using network loss as optimization aim, Not a kind of the problem of not considering the economy of reactive-load compensation, there is provided power network distribution idle work optimization method.
The technical solution adopted for the present invention to solve the technical problems is：A kind of power network distribution idle work optimization method, below Step：
A, obtain the basic parameter of target grid；
B, read power network distribution candidate compensation buses and Distribution system branch road；
C, determine the optimization object function of target grid；
D, power network distribution candidate compensation buses are selected to carry out the optimal selection of Distribution system branch road using shuffled frog leaping algorithm And perform corresponding actions.
The comprehensive idle work optimization of the present invention and two technologies of Distribution system, are established with the distribution of the minimum target of year comprehensive cost Integrated Optimization Model, solved using shuffled frog leaping algorithm, can not only further reduce network loss, lifting node voltage, it is also abundant Consider the economy of reactive-load compensation so that distribution complex optimum more conforms to economy principle, i.e., it is excellent fully to have excavated synthesis The economic value of change.
Preferably, in step C, the optimization object function of target grid is：
λ is electricity price；TmaxHourage is lost for annual peak load；k1To compensate the year maintenance cost rate of equipment；k2For investment Recovery coefficient；QiFor the reactive-load compensation amount of i-th of node, C1For the price of reactive-load compensation；C2For the installation fee of single compensation point With n is reactive-load compensation point number；
PlossFor the active loss of network, for the summation of every circuit active loss, expression formula is：
NbRepresent circuitry number；RkRepresent branch road k resistance；SkBranch road closure state is represented, 1 represents closure, and 0 represents to open； PkRepresent branch road k active power；QkRepresent branch road k reactive power；VkRepresent branch road k terminal voltage；
Constraints is：
Vmin≤Vj≤Vmax；0≤Qi≤QI, max；
VminRepresent the upper limit of node voltage during distribution normal operation；
VmaxRepresent the lower limit of node voltage during distribution normal operation；
SmaxRepresent circuit k maximum carrying capacity；
QI, maxRepresent i-th of compensation point compensation capacity upper limit.
Preferably, the algorithm parameter setting that leapfrogs is as follows：It is idle total to active total load scope in 3000kW to 4000kW Load range is in 2000kvar to 2500kvar power network, and frog group's size is set as 80, and group's number is 20, and global evolution number is 50, Local Evolution number is 3；Reactive-load compensation amount is searched using 1.2 times of upper limits as reactive-load compensation of the total load or burden without work of system, minimum Suo Buchang is set manually, λ=0.5 yuan/kWh, Tmax=5000h, k1=0.13, k2=0.1, C1=60 yuan/kvar, C2 =5000 yuan/node.
Preferably, minimum step-size in search is 10kvar.
Preferably, the most heavy node of all load or burden without work is as reactive-load compensation point in selection power network.
Preferably, in the active loss P of calculating networklossWhen set some branch roads as change adjust branch road, if Shuffled frog leaping algorithm carries out that during the optimal selection of Distribution system branch road constraints can not be met, will in change adjusts branch road S in the branch road of change regulation beforekThe optimal selection that shuffled frog leaping algorithm carries out Distribution system branch road is re-started after value change； It is repeated in performing, meets constraints when shuffled frog leaping algorithm carries out the optimal selection of Distribution system branch road.
Preferably, the change regulation branch road is carried out according to the active total load of Distribution system branch road or idle total load Sequence, clooating sequence is higher for the active total load or the smaller then Sort Priority of idle total load of Distribution system branch road, if mixed The algorithm that leapfrogs is closed to carry out not meeting that constraints then first changes priority high distribution during the optimal selection of Distribution system branch road Reconstruct branch road.
Preferably, the change regulation branch road is carried out according to the active total load of Distribution system branch road or idle total load Sequence, clooating sequence SkThe active total load or the smaller then Sort Priority of idle total load of the Distribution system branch road of value=1 It is higher, clooating sequence SkThe active total load or the smaller then Sort Priority of idle total load of the Distribution system branch road of value=0 It is lower, first change priority if can not meeting constraints when shuffled frog leaping algorithm carries out the optimal selection of Distribution system branch road High Distribution system branch road.
The present invention substantial effect be：The comprehensive idle work optimization of the present invention and two technologies of Distribution system, establish with year it is comprehensive The distribution Integrated Optimization Model of the minimum target of conjunction expense, is solved using shuffled frog leaping algorithm, can not only further reduce net Damage, lifting node voltage, have also taken into full account the economy of reactive-load compensation so that distribution complex optimum more conforms to economy original Then, moreover it is possible to fully excavate the value of complex optimum economically.
Embodiment
Below by specific embodiment, technical scheme is described in further detail.
Embodiment 1：
A kind of power network distribution idle work optimization method, following steps：
A, obtain the basic parameter of target grid；
B, read power network distribution candidate compensation buses and Distribution system branch road；
C, determine the optimization object function of target grid；
D, power network distribution candidate compensation buses are selected to carry out the optimal selection of Distribution system branch road using shuffled frog leaping algorithm And perform corresponding actions.
In step C, the optimization object function of target grid is：
λ is electricity price；TmaxHourage is lost for annual peak load；k1To compensate the year maintenance cost rate of equipment；k2For investment Recovery coefficient；QiFor the reactive-load compensation amount of i-th of node, C1For the price of reactive-load compensation；C2For the installation fee of single compensation point With n is reactive-load compensation point number；
PlossFor the active loss of network, for the summation of every circuit active loss, expression formula is：
NbRepresent circuitry number；RkRepresent branch road k resistance；SkBranch road closure state is represented, 1 represents closure, and 0 represents to open； PkRepresent branch road k active power；QkRepresent branch road k reactive power；VkRepresent branch road k terminal voltage；
Constraints is：
Vmin≤Vj≤Vmax；0≤Qi≤QI, max；
VminRepresent the upper limit of node voltage during distribution normal operation；
VmaxRepresent the lower limit of node voltage during distribution normal operation；
SmaxRepresent circuit k maximum carrying capacity；
QI, maxRepresent i-th of compensation point compensation capacity upper limit.
The algorithm parameter that leapfrogs sets as follows：To active total load scope in 3000kW to 4000kW, idle total load scope In 2000kvar to 2500kvar power network, frog group's size is set as 80, and group's number is 20, and global evolution number is 50, local Evolution number is 3；Reactive-load compensation amount is using 1.2 times of upper limits as reactive-load compensation of the total load or burden without work of system, minimum step-size in search Set manually, λ=0.5 yuan/kWh, Tmax=5000h, k1=0.13, k2=0.1, C1=60 yuan/kvar, C2=5000 Member/node.
Minimum step-size in search is 10kvar.The node that all load or burden without work are most heavy in power network is selected as reactive-load compensation point. In the active loss P of calculating networklossWhen set some branch roads as change adjust branch road, if shuffled frog leaping algorithm is matched somebody with somebody Constraints can not be met during the optimal selection of net reconstruct branch road, in change adjusts branch road, by before in change regulation branch road SkThe optimal selection that shuffled frog leaping algorithm carries out Distribution system branch road is re-started after value change；It is repeated in performing, until Shuffled frog leaping algorithm carries out meeting constraints during the optimal selection of Distribution system branch road.In the active loss P of calculating networkloss When set some branch roads as change adjust branch road, if shuffled frog leaping algorithm carry out Distribution system branch road optimal selection when without Method meets constraints, in change adjusts branch road, by the S in the branch road of change regulation beforekMixing is re-started after value change The algorithm that leapfrogs carries out the optimal selection of Distribution system branch road；It is repeated in performing, until shuffled frog leaping algorithm carries out Distribution system Meet constraints during the optimal selection of branch road.
Embodiment 2：
The present embodiment is substantially the same manner as Example 1, and difference is, the change regulation branch road is according to Distribution system branch The active total load or idle total load on road are ranked up, clooating sequence SkThe active of the Distribution system branch road of value=1 is always born Lotus or the smaller then Sort Priority of idle total load are higher, clooating sequence SkThe active of the Distribution system branch road of value=0 is always born Lotus or the smaller then Sort Priority of idle total load are lower, if shuffled frog leaping algorithm carries out the optimal selection of Distribution system branch road It can not meet that constraints then first changes the high Distribution system branch road of priority.In the present embodiment, shuffled frog leaping algorithm include with Lower step：
Step 1：Initiation parameter, including：The quantity F of frog group；The quantity m of group；The quantity n of frog in group；It is maximum Allow the step-length S that beatsmax；Globally optimal solution Pz；Locally optimal solution Pb；Local worst solution Pw；Global iterative evolution times Ng, it is local Iterative evolution times N1, each compensation point reactive-load compensation upper limit QI, max；
Step 2：Initial frog group is generated at random, calculates the evaluation of estimate of each frog；
Step 3：Ascending sort is carried out according to evaluation of estimate size, records optimal solution Pz, and by frog group in the following manner It is divided into group：1st frog is put into the 1st group, and the 2nd frog is put into the 2nd group, and the m frog is put into the m group, m+ 1 frog is put into the 1st group, by that analogy, until all frogs are placed into specified location；Step 4：According to the following formula to each race Group carries out evolutional operation
S=ceil (Rand () × (Pw-Pb))；
NewPw=Pw+ S ,-Smin≤S≤Smax；
Wherein, ceil represents to round, and rand () represents to produce 0~1 random number, and S represents the step-length to leapfrog, Smax, Smin For the step-length limitation to leapfrog, NewPwRepresent the P after renewalw；
Step 5：After all group's renewals, the evaluation of estimate of all frogs in frog group is calculated；
Step 6：Judge whether to meet stop condition；Stopped search if meeting, otherwise go to step 3；
Step 7：Corresponding actions are performed according to optimal selection.
The specific steps of step 4 include following sub-step：
Step 4-1：If IM=IN=O, IMRepresent the counter that group evolves, INRepresent Local Evolution counter；
Step 4-2：Select the P of current groupbAnd Pw, IMAdd 1；
Step 4-3：INAdd 1；
Step 4-4：According to
S=ceil (Rand () × (Pw-Pb))；
NewPw=Pw+ S ,-Smin≤S≤SmaxImprove the worst frog in group；
Step 4-5：If upper step improves the worst frog, substitute the worst frog with the new frog, otherwise use PzSubstituted (8) In Pb, evolve again；
Step 4-6：If upper step randomly generates a feasible solution to replace the worst frog still without the worst frog is improved；
Step 4-7：If INLess than Local Evolution number LN, then it is transferred to step 4-3；
Step 4-8：If IMLess than group number m, then step 4-2 is transferred to, otherwise into the step 5 of global search.
The comprehensive idle work optimization of the present invention and two technologies of Distribution system, are established with the distribution of the minimum target of year comprehensive cost Integrated Optimization Model, solved using shuffled frog leaping algorithm, can not only further reduce network loss, lifting node voltage, it is also abundant Consider the economy of reactive-load compensation so that distribution complex optimum more conforms to economy principle, moreover it is possible to it is excellent fully to excavate synthesis Change value economically.
Embodiment described above is a kind of preferable scheme of the present invention, not the present invention is made any formal Limitation, there are other variants and remodeling on the premise of without departing from the technical scheme described in claim.

Claims (8)

  1. A kind of 1. power network distribution idle work optimization method, it is characterised in that following steps：
    A, obtain the basic parameter of target grid；
    B, read power network distribution candidate compensation buses and Distribution system branch road；
    C, determine the optimization object function of target grid；
    D, select power network distribution candidate compensation buses to carry out the optimal selection of Distribution system branch road using shuffled frog leaping algorithm and hold Row corresponding actions.
  2. 2. power network distribution idle work optimization method according to claim 1, it is characterised in that in step C, target grid Optimization object function is：
    <mrow> <mi>min</mi> <mi> </mi> <mi>F</mi> <mo>=</mo> <msub> <mi>&amp;lambda;T</mi> <mi>max</mi> </msub> <msub> <mi>P</mi> <mrow> <mi>l</mi> <mi>o</mi> <mi>s</mi> <mi>s</mi> </mrow> </msub> <mo>+</mo> <mrow> <mo>(</mo> <msub> <mi>k</mi> <mn>1</mn> </msub> <mo>+</mo> <msub> <mi>k</mi> <mn>2</mn> </msub> <mo>)</mo> </mrow> <mrow> <mo>(</mo> <msub> <mi>C</mi> <mn>1</mn> </msub> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>n</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>n</mi> </munderover> <msub> <mi>Q</mi> <mi>i</mi> </msub> <mo>+</mo> <msub> <mi>nC</mi> <mn>2</mn> </msub> <mo>)</mo> </mrow> <mo>;</mo> </mrow>
    λ is electricity price；TmaxHourage is lost for annual peak load；k1To compensate the year maintenance cost rate of equipment；k2Reclaimed for investment Coefficient；QiFor the reactive-load compensation amount of i-th of node, C1For the price of reactive-load compensation；C2For the mounting cost of single compensation point, n is Reactive-load compensation point number；
    PlossFor the active loss of network, for the summation of every circuit active loss, expression formula is：
    <mrow> <msub> <mi>P</mi> <mrow> <mi>l</mi> <mi>o</mi> <mi>s</mi> <mi>s</mi> </mrow> </msub> <mo>=</mo> <munderover> <mi>&amp;Sigma;</mi> <mrow> <mi>k</mi> <mo>=</mo> <mn>1</mn> </mrow> <msub> <mi>N</mi> <mi>b</mi> </msub> </munderover> <msub> <mi>S</mi> <mi>k</mi> </msub> <msub> <mi>R</mi> <mi>k</mi> </msub> <mfrac> <mrow> <msup> <msub> <mi>P</mi> <mi>k</mi> </msub> <mn>2</mn> </msup> <mo>+</mo> <msup> <msub> <mi>Q</mi> <mi>k</mi> </msub> <mn>2</mn> </msup> </mrow> <mrow> <msup> <msub> <mi>V</mi> <mi>k</mi> </msub> <mn>2</mn> </msup> </mrow> </mfrac> </mrow>
    NbRepresent circuitry number；RkRepresent branch road k resistance；SkBranch road closure state is represented, 1 represents closure, and 0 represents to open；PkTable Show branch road k active power；QkRepresent branch road k reactive power；VkRepresent branch road k terminal voltage；
    Constraints is：
    Vmin≤Vj≤Vmax；0≤Qi≤QI, max；
    VminRepresent the upper limit of node voltage during distribution normal operation；
    VmaxRepresent the lower limit of node voltage during distribution normal operation；
    SmaxRepresent circuit k maximum carrying capacity；
    QI, maxRepresent i-th of compensation point compensation capacity upper limit.
  3. 3. power network distribution idle work optimization method according to claim 1, it is characterised in that the algorithm parameter that leapfrogs is set such as Under：To active total load scope in 3000kW to 4000kW, idle total load scope 2000kvar to 2500kvar power network, Frog group's size is set as 80, and group's number is 20, and global evolution number is 50, and Local Evolution number is 3；Reactive-load compensation amount is with system 1.2 times of upper limits as reactive-load compensation of total load or burden without work, minimum step-size in search are set manually, λ=0.5 yuan/kWh, Tmax =5000h, k1=0.13, k2=0.1, C1=60 yuan/kvar, C2=5000 yuan/node.
  4. 4. power network distribution idle work optimization method according to claim 3, it is characterised in that minimum step-size in search is 10kvar。
  5. 5. power network distribution idle work optimization method according to claim 3, it is characterised in that all idle negative in selection power network The most heavy node of lotus is as reactive-load compensation point.
  6. 6. power network distribution idle work optimization method according to claim 3, it is characterised in that in the active loss of calculating network PlossWhen set some branch roads as change adjust branch road, if shuffled frog leaping algorithm carry out Distribution system branch road optimal selection Shi Wufa meets constraints, in change adjusts branch road, by the S in the branch road of change regulation beforekRe-started after value change Shuffled frog leaping algorithm carries out the optimal selection of Distribution system branch road；It is repeated in performing, until shuffled frog leaping algorithm carries out distribution Meet constraints during the optimal selection for reconstructing branch road.
  7. 7. power network distribution idle work optimization method according to claim 6, it is characterised in that it is described change regulation branch road according to The active total load or idle total load of Distribution system branch road are ranked up, and clooating sequence is the active total negative of Distribution system branch road Lotus or the smaller then Sort Priority of idle total load are higher, if shuffled frog leaping algorithm carries out the optimal selection of Distribution system branch road It can not meet that constraints then first changes the high Distribution system branch road of priority.
  8. 8. power network distribution idle work optimization method according to claim 6, it is characterised in that it is described change regulation branch road according to The active total load or idle total load of Distribution system branch road are ranked up, clooating sequence SkThe Distribution system branch road of value=1 Active total load or the smaller then Sort Priority of idle total load it is higher, clooating sequence SkThe Distribution system branch road of value=0 Active total load or idle total load smaller then Sort Priority it is lower, if shuffled frog leaping algorithm carries out Distribution system branch road It can not meet that constraints then first changes priority high Distribution system branch road during optimal selection.
CN201710483144.0A 2017-06-22 2017-06-22 Power network distribution idle work optimization method Pending CN107681670A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710483144.0A CN107681670A (en) 2017-06-22 2017-06-22 Power network distribution idle work optimization method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710483144.0A CN107681670A (en) 2017-06-22 2017-06-22 Power network distribution idle work optimization method

Publications (1)

Publication Number Publication Date
CN107681670A true CN107681670A (en) 2018-02-09

Family

ID=61133494

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710483144.0A Pending CN107681670A (en) 2017-06-22 2017-06-22 Power network distribution idle work optimization method

Country Status (1)

Country Link
CN (1) CN107681670A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109193634A (en) * 2018-09-28 2019-01-11 国网浙江省电力有限公司舟山供电公司 Island operation of power networks optimization method and system based on multiterminal flexible direct current

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105932690A (en) * 2016-05-19 2016-09-07 河海大学 Distribution network operation optimization method integrating reactive power optimization and network reconstruction

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105932690A (en) * 2016-05-19 2016-09-07 河海大学 Distribution network operation optimization method integrating reactive power optimization and network reconstruction

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109193634A (en) * 2018-09-28 2019-01-11 国网浙江省电力有限公司舟山供电公司 Island operation of power networks optimization method and system based on multiterminal flexible direct current

Similar Documents

Publication Publication Date Title
Wu et al. Source-network-storage joint planning considering energy storage systems and wind power integration
CN102074954B (en) Comprehensive energy-conservation evaluation and decision-making method for urban and rural distribution network
CN109768573A (en) Var Optimization Method in Network Distribution based on multiple target difference grey wolf algorithm
CN104917173B (en) Adapt to the distribution optimization method of power distribution network Large Copacity load transfer
CN109447847A (en) A kind of active power distribution network Reliability Estimation Method containing flexible Sofe Switch
CN105140958A (en) Method for planning power distribution network comprising photovoltaic power supply
CN105932690B (en) A kind of distribution running optimizatin method of comprehensive idle work optimization and network reconfiguration
CN106340892B (en) For stabilizing the control equipment of the energy-storage system of wind power output power
CN113239512B (en) AC/DC power distribution network planning scheme screening method and system considering toughness
CN111738498B (en) Robust planning method and system for comprehensive energy system
CN107276067A (en) A kind of power distribution network tie switches allocation optimization method for considering part throttle characteristics
CN109659973A (en) A kind of distributed generation resource planing method based on modified DC power flow algorithm
CN106505604A (en) The photovoltaic energy storage cooperation unit optimization collocation method of access area power distribution network
CN107681669A (en) Using the power network distribution idle work optimization method of shuffled frog leaping algorithm
CN111079972A (en) Method, device and medium for planning reliability of active power distribution network
CN109599896A (en) A kind of 10kV power grid distributed photovoltaic maximum can open the calculation method of capacity
CN109586278A (en) A kind of alternating current-direct current mixing power distribution network evaluation of power supply capability method
Lei et al. Design of energy storage control strategy to improve the PV system power quality
CN112186744A (en) Power supply recovery method suitable for power distribution network with distributed power supply and application
CN115375006A (en) Novel urban distribution network double-layer joint expansion planning method considering PV and EV
CN103824124A (en) Energy-saving potential assessment method for power grid company
CN111680469A (en) Medium-low voltage distribution network line loss limit value calculation method
CN108718084B (en) Power supply and power grid coordination planning method suitable for electric power market reformation
CN107681670A (en) Power network distribution idle work optimization method
CN110896246B (en) Configuration optimization method of hybrid energy storage type tramcar system

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20180209