CN105207200A - Development coordination analyzing method for power grid with load distribution unbalance - Google Patents

Development coordination analyzing method for power grid with load distribution unbalance Download PDF

Info

Publication number
CN105207200A
CN105207200A CN201510574454.4A CN201510574454A CN105207200A CN 105207200 A CN105207200 A CN 105207200A CN 201510574454 A CN201510574454 A CN 201510574454A CN 105207200 A CN105207200 A CN 105207200A
Authority
CN
China
Prior art keywords
load
power
electrical network
max
network
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.)
Granted
Application number
CN201510574454.4A
Other languages
Chinese (zh)
Other versions
CN105207200B (en
Inventor
胡平
林宪平
董昕
马国真
单保涛
凌云鹏
胡珀
赵阳
贺春光
韩文源
张欣悦
刘鹏
王颖
习鹏
荆志鹏
鲁利枝
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.)
BEIJING JOIN BRIGHT ELECTRIC POWER TECHNOLOGY Co Ltd
State Grid Corp of China SGCC
State Grid Hebei Electric Power Co Ltd
Economic and Technological Research Institute of State Grid Hebei Electric Power Co Ltd
Original Assignee
BEIJING JOIN BRIGHT ELECTRIC POWER TECHNOLOGY Co Ltd
State Grid Corp of China SGCC
State Grid Hebei Electric Power Co Ltd
Economic and Technological Research Institute of State Grid Hebei 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 BEIJING JOIN BRIGHT ELECTRIC POWER TECHNOLOGY Co Ltd, State Grid Corp of China SGCC, State Grid Hebei Electric Power Co Ltd, Economic and Technological Research Institute of State Grid Hebei Electric Power Co Ltd filed Critical BEIJING JOIN BRIGHT ELECTRIC POWER TECHNOLOGY Co Ltd
Priority to CN201510574454.4A priority Critical patent/CN105207200B/en
Publication of CN105207200A publication Critical patent/CN105207200A/en
Application granted granted Critical
Publication of CN105207200B publication Critical patent/CN105207200B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/70Smart grids as climate change mitigation technology in the energy generation sector
    • YGENERAL 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
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Landscapes

  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The invention discloses a development coordination analyzing method for a power grid with load distribution unbalance. The method comprises the steps that 1, the load level of a system is given; 2, distribution coefficients of all load points are determined; 3, loads are distributed to all the load points according to the load distribution coefficient; 4, load flow calculation is carried out on the system; 5, whether overloads exist on a branch or not is judged, if yes, the step 6 is executed, or otherwise, the step 8 is executed; 6, output power of all the load points is adjusted; 7, it is ordered that K is equal to K+1, whether K<=N is supported or not is judged, if yes, the step 3 is executed, or otherwise, the step 10 is executed; 8, whether residual output power exists in the system or not is judged, if yes, the step 9 is executed, or otherwise, the step 10 is executed; 9, the system loads are increased, and the step 2 is executed; 10, the total load of the system is output; 11, the maximum power supply capacity of the system is determined; 12, the valley-to-peak difference of the system is obtained; 13, an evaluation report is formed; 14, the process is finished.

Description

A kind of power load distributing unbalanced power network development Coordination Analysis method
Technical field
The invention belongs to the technical field of distribution network planning, relate to a kind of power load distributing unbalanced power network development Coordination Analysis method particularly.
Background technology
The spatial distribution of load is relevant with factors such as the industrial structure, industrial nature, geographical environments.In general, the power load distributing of economy more developed regions is more concentrated, and load density is larger, and the load factor of equipment is higher, the lost of life; On the contrary, the utilization rate of equipment and installations in load district is smaller on the low side, can cause resources idle, affect the economy of electric grid investment.In the region that load proportion is very large, very high to the requirement of electric network composition, the serious accident in this region may cause whole mains breakdown.If load space distribution changes, just require that the operational mode of electrical network has stronger adaptability, need electrical network to have stronger adaptive capacity.
The unbalanced electrical network of this power load distributing, the ability to transmit electricity of restriction electrical network and Resource allocation and smoothing.Therefore, need the workload demand coordinating each region, improve the power supply capacity in each region, ensure that whole electric network coordination develops.The operational mode of spatial distribution to electrical network of load has material impact, and then affects the safe and stable operation of electrical network, and load equilibrium is spatially the important guarantee of the stabilization of power grids and economical operation.
Summary of the invention
Technology of the present invention is dealt with problems and is: overcome the deficiencies in the prior art, a kind of power load distributing unbalanced power network development Coordination Analysis method is provided, its can Efficient Evaluation electrical network to the adaptability of load, effectively can weigh the coordination degree between electrical network and load, thus improve the power supply capacity in each region, ensure that whole electric network coordination develops.
Technical solution of the present invention is: this power load distributing unbalanced power network development Coordination Analysis method, and the method comprises the following steps:
(1) to the load level of fixed system;
(2) distribution coefficient of each load point is determined;
(3) according to sharing of load coefficient by sharing of load to each load point;
(4) Load flow calculation is carried out to system;
(5) judge whether branch road exists overload, is, perform step (6), otherwise perform step (8);
(6) adjust each load point to exert oneself;
(7) make K=K+1, judge whether K≤N sets up, and is, perform step (3), otherwise perform step (10), wherein K represents cycle-index, and K is from 0; N is the maximum cycle of Operation system setting;
(8) judge whether have residue to exert oneself in system, to be, perform step (9), otherwise perform step (10);
(9) increase system loading, jump to step (2);
(10) output system total load;
(11) certainty annuity net capability;
(12) peak-valley difference of system is asked for;
(13) assessment report is formed;
(14) terminate.
This method is on Distribution Network Load Data model basis, by carrying out Load flow calculation to branch road, the adjustment of generator output and the change of different load is coordinated to ask for the net capability of system, the peak-valley difference of last certainty annuity, by analyzing the harmony of power network development to the evaluation of net capability and peak-valley difference, therefore, it is possible to Efficient Evaluation electrical network is to the adaptability of load, effectively can weigh the coordination degree between electrical network and load, thus improve the power supply capacity in each region, ensure that whole electric network coordination develops.
Accompanying drawing explanation
Fig. 1 shows the flow chart of power load distributing according to the present invention unbalanced power network development Coordination Analysis method;
Fig. 2 shows according to power flow algorithm of the present invention;
Fig. 3 shows the flow chart of process in accordance with the present invention (4).
Embodiment
As shown in Figure 1, this power load distributing unbalanced power network development Coordination Analysis method, the method comprises the following steps:
(1) to the load level of fixed system;
(2) distribution coefficient of each load point is determined;
(3) according to sharing of load coefficient by sharing of load to each load point;
(4) Load flow calculation is carried out to system;
(5) judge whether branch road exists overload, is, perform step (6), otherwise perform step (8);
(6) adjust each load point to exert oneself;
(7) make K=K+1, judge whether K≤N sets up, and is, perform step (3), otherwise perform step (10), wherein K represents cycle-index, and K is from 0; N is the maximum cycle of Operation system setting;
(8) judge whether have residue to exert oneself in system, to be, perform step (9), otherwise perform step (10);
(9) increase system loading, jump to step (2);
(10) output system total load;
(11) certainty annuity net capability;
(12) peak-valley difference of system is asked for;
(13) assessment report is formed;
(14) terminate.
This method is on Distribution Network Load Data model basis, by carrying out Load flow calculation to branch road, the adjustment of generator output and the change of different load is coordinated to ask for the net capability of system, the peak-valley difference of last certainty annuity, by analyzing the harmony of power network development to the evaluation of net capability and peak-valley difference, therefore, it is possible to Efficient Evaluation electrical network is to the adaptability of load, effectively can weigh the coordination degree between electrical network and load, thus improve the power supply capacity in each region, ensure that whole electric network coordination develops.
Preferably, as shown in Figure 3, described step (4) comprises step by step following:
(4.1) counter O reset k=0, reads in network parameter;
(4.2) each node voltage U of initialization nk () is supply voltage;
(4.3) load equivalence branch admittance is tried to achieve according to load bus voltage:
Y si=S * si/ | U ni(k) | 2, i ∈ N s*, N sfor all load branch circuits number, form admittance matrix Y;
(4.4) the voltage vector U of each node is calculated according to formula (7) n(k+1)
Un=-(AYA T) -1AYU S(7);
(4.5) judge | U n(k+1)-U n(k) | maxwhether < ε sets up, if set up, performs step (4.6);
Otherwise make k=k+1, return step (4.2);
(4.6) total load that this distribution district of comprising power that each load confesses and line loss power consumes is calculated S d = P d + jQ d = &Sigma; i = 1 B ( | A T U n ( k + 1 ) | i 2 y i i ) , Wherein y iifor the element that the i-th row i-th in Y arranges;
(4.7) calculation of tidal current U is returned nand S (k+1) d, terminate.
Preferably, when judging Line overload in described step (5), the maximum transmitted power of the power on each branch road under this load level obtained by Load flow calculation and branch road is compared, the maximum transmitted power being greater than branch road, for there is Line overload, is less than the maximum transmitted power of branch road for there is not Line overload.
Preferably, described step (12) comprises step by step following:
(12.1) determine that target function is peak-valley difference;
(12.2) under system normal operating mode, do not consider stoppage in transit and the maintenance of unit, set up corresponding maximum load Mathematical Modeling;
(12.3) under target function, constraints meets network power flow equation, and power supply is exerted oneself and do not got over line and circuit nonoverload, according to formula (1) founding mathematical models
- B &theta; + g - k max d = 0 g &prime; &le; g &le; g &prime; &prime; A T &theta; &le; &psi; &OverBar; - - - ( 1 )
Wherein:
D-actual power load;
G', g, g "-be respectively power supply minimum output, actually to exert oneself and most high output;
B-node admittance matrix;
A tthe transposed matrix of-node branch road incidence matrices A;
θ-node voltage phase angle;
-branch road maximum permissible voltage phase angle;
K maxthe ratio of-maximum supply load and actual power load, the peak load multiple normal system of electrical network meets k max>=1, k maxd represents the net capability of electrical network, k maxmore can adapt to higher load level greatlyr, power supply capacity is stronger;
(12.4) under system normal operating mode, do not consider stoppage in transit and the maintenance of unit, set up corresponding minimum load Mathematical Modeling;
(12.5) exert oneself limited because power supply is adjustable, grid equipment has certain margin of safety, and the power supply capacity of electrical network is also by the restriction of low load levels, and the receptible minimum load of electrical network is formula (2):
- B &theta; + g - k min d = 0 g &prime; &le; g &le; g &prime; &prime; A T &theta; &le; &psi; &OverBar; - - - ( 2 )
Wherein:
K minthe ratio of-minimum supply load and actual power load, also referred to as minimum supply load multiple;
Normal system should meet k min≤ 1, k minless, electrical network more can adapt to lower load level;
K mind is the minimum power supply capacity of electrical network;
(12.6) peak-valley difference k is calculated according to model maxd-k mind.
Preferably, described step (13) comprises step by step following:
(13.1) maximum supply load multiple k is solved max, embody electrical network to the adaptability degree of high load capacity level, this value is larger, then the adaptability of electrical network to load growth is stronger;
(13.2) minimum supply load multiple k is solved min, embody electrical network to the adaptedness of underload, this value is less, more can adapt to the great fluctuation process of load;
(13.3) peak-valley difference that can bear of system is larger, and the reliability of system is stronger, and this value power system dispatching department carries out operational mode arrangement and peak regulation provides reference, and its size embodies the coordination degree of electrical network and load.
Provide a specific embodiment below.
This analytical method mainly comprises the following aspects:
1, the processing method of power flow algorithm
Process step of the present invention (4) adopts and carries out Load flow calculation based on the branch impedance method in bus class calculating power system load flow, and the method convergence is good, and algorithm is simple, is applicable to weakly loops and radial distribution networks.Simplification Equivalent Calculation is carried out to distribution network line and load thereof, sets up Mathematical Modeling as shown in Figure 2.
One is had to the distribution network of N number of node, B bar branch road (comprising distribution branch road and equivalent load branch road), describe the matrix that its node associates character matrix A with branch road is N × B dimension, if node voltage column vector is U n,branch voltage column vector U and branch current column vector I can be expressed as:
U=A TU n(3)
AI=0(4)
For a distribution region, think do not have controlled current source in circuit, between inductance, coupling is smaller, can ignore, then have:
I=Y(U+U S)(5)
In formula, U sbe power supply matrix, Y is that B × B ties up branch road diagonal angle admittance matrix, is by distribution network line admittance matrix Y l, node load Equivalent Admittance Matrix Y swith power branch admittance y bbthree part compositions, that is:
Y = Y L Y S y b b - - - ( 6 )
Wherein, Y land Y sit is all diagonal matrix.The admittance y of i-th section of distribution line li=1/ (R i+ jX i), R i, X ibe respectively resistance and the reactance of i-th section of distribution line; The admittance y of i-th equivalent load branch road si=S */ | U ni(k) | 2, S sii-th equivalent load, U nifor the node voltage of node i; y bbit is power branch.
Thus, node voltage matrix equation can be obtained:
Un=-(AYA T) -1AYU S(7)
The concrete steps of Branch Power Flow algorithm are as follows:
(1) counter O reset k=0; Read in network parameter, each node voltage U of initialization nk () is supply voltage;
(2) load equivalence branch admittance is tried to achieve according to load bus voltage:
Y si=S * si/ | U ni(k) | 2, i ∈ N s*, N sfor all load branch circuits number, form admittance matrix Y;
(3) the voltage vector U of each node is calculated according to formula (7) n(k+1);
(4) judge | U n(k+1)-U n(k) | max< ε, if set up, proceeds to (5) step; Otherwise k=k+1, returns (2) step;
(5) total load (comprising power and line loss power that each load confesses) that this distribution district consumes is calculated S d = P d + jQ d = &Sigma; i = 1 B ( | A T U n ( k + 1 ) | i 2 y i i ) , Wherein y iifor the element that the i-th row i-th in Y arranges;
(6) calculation of tidal current U is returned nand S (k+1) d, exit.
Power flow algorithm flow process is shown in Fig. 3.
2, the net capability of uncompensated load system is asked for
(1) to the given a certain load level of specific system, and according to certain sharing of load coefficient by sharing of load to each load point;
(2) carry out Load flow calculation, the power under obtaining this load level on each branch road, and compared by the maximum transmitted power of the rated output of branch road and branch road, whether inspection exists the situation of Line overload.If find do not have branch road generation overload after inspection, then, when needing solution load to reach much, branch road starts to occur overload;
(3) improve the total load of system, repeat step (1), step (2), until there is the situation of Line overload in system;
(4) after there is Line overload in system, should readjust power supply exert oneself alleviate overload;
(5) through step (4), after the overload disappearance of system, continue the total load of increase system, carry out Load flow calculation again, when occurring overload in system, and after adjustment several times, still cannot eliminate overload, or until do not have available exerting oneself, now the total load of system is the net capability of system.
3, the peak-valley difference of uncompensated load system is determined
Determine that the step of uncompensated load system peak-valley difference is as follows:
(1) target function and peak-valley difference is determined;
(2) under system normal operating mode, do not consider stoppage in transit and the maintenance of unit, set up corresponding maximum load Mathematical Modeling;
(3) under target function, constraints meets network power flow equation, and power supply is exerted oneself and do not got over line and circuit nonoverload, utilizes formula (1) to ask for the peak load multiple of electrical network, calculates k maxd;
(4) under system normal operating mode, do not consider stoppage in transit and the maintenance of unit, set up corresponding minimum load Mathematical Modeling;
(5) exert oneself because power supply is adjustable limited, grid equipment has certain margin of safety, the power supply capacity of electrical network is also by the restriction of low load levels, the receptible minimum load of electrical network institute also can in order to upper model representation, utilize formula (2) to ask for the minimum load multiple of electrical network, calculate k mind;
(6) peak-valley difference, i.e. k is calculated according to (4), (5) maxd-k mind.
4, in action 2 with the basis of content 3, show that the unbalanced power network development harmony of power load distributing is assessed.
The assessment of power load distributing unbalanced power network development Coordination Analysis mainly comprises following content:
(1) the maximum supply load multiple k solved max, embody electrical network to the adaptability degree of high load capacity level, this value is larger, then the adaptability of electrical network to load growth is stronger;
(2) minimum supply load multiple k min, embody electrical network to the adaptedness of underload, this value is less, more can adapt to the great fluctuation process of load;
(3) peak-valley difference that can bear of system is larger, and the reliability of system is stronger, and this value power system dispatching department carries out operational mode arrangement and peak regulation provides reference, and its size embodies the coordination degree of electrical network and load.
The above; it is only preferred embodiment of the present invention; not any pro forma restriction is done to the present invention, every above embodiment is done according to technical spirit of the present invention any simple modification, equivalent variations and modification, all still belong to the protection range of technical solution of the present invention.

Claims (5)

1. a power load distributing unbalanced power network development Coordination Analysis method, is characterized in that: the method comprises the following steps:
(1) to the load level of fixed system;
(2) distribution coefficient of each load point is determined;
(3) according to sharing of load coefficient by sharing of load to each load point;
(4) Load flow calculation is carried out to system;
(5) judge whether branch road exists overload, is, perform step (6), otherwise perform step (8);
(6) adjust each load point to exert oneself;
(7) make K=K+1, judge whether K≤N sets up, and is, perform step (3), otherwise perform step (10), wherein K represents cycle-index, and K is from 0; N is the maximum cycle of Operation system setting;
(8) judge whether have residue to exert oneself in system, to be, perform step (9), otherwise perform step (10);
(9) increase system loading, jump to step (2);
(10) output system total load;
(11) certainty annuity net capability;
(12) peak-valley difference of system is asked for;
(13) assessment report is formed;
(14) terminate.
2. power load distributing according to claim 1 unbalanced power network development Coordination Analysis method, is characterized in that: described step (4) comprises step by step following:
(4.1) counter O reset k=0, reads in network parameter;
(4.2) each node voltage U of initialization nk () is supply voltage;
(4.3) load equivalence branch admittance is tried to achieve according to load bus voltage:
Y si=S * si/ U ni(k) 2, n sfor all load branch circuits number, form admittance matrix Y;
(4.4) the voltage vector U of each node is calculated according to formula (7) n(k+1)
Un=-(AYA T) -1AYU S(7);
(4.5) judge | U n(k+1)-U n(k) | maxwhether < ε sets up, if set up, performs step (4.6);
Otherwise make k=k+1, return step (4.2);
(4.6) total load that this distribution district of comprising power that each load confesses and line loss power consumes is calculated S d = P d + jQ d = &Sigma; i = 1 B ( | A T U n ( k + 1 ) | i 2 y i i ) , Wherein y iifor the element that the i-th row i-th in Y arranges;
(4.7) calculation of tidal current U is returned nand S (k+1) d, terminate.
3. power load distributing according to claim 2 unbalanced power network development Coordination Analysis method, it is characterized in that: when judging Line overload in described step (5), the maximum transmitted power of the power on each branch road under this load level obtained by Load flow calculation and branch road is compared, the maximum transmitted power being greater than branch road, for there is Line overload, is less than the maximum transmitted power of branch road for there is not Line overload.
4. power load distributing according to claim 3 unbalanced power network development Coordination Analysis method, is characterized in that: described step (12) comprises step by step following:
(12.1) determine that target function is peak-valley difference;
(12.2) under system normal operating mode, do not consider stoppage in transit and the maintenance of unit, set up corresponding maximum load Mathematical Modeling;
(12.3) under target function, constraints meets network power flow equation, and power supply is exerted oneself and do not got over line and circuit nonoverload, according to formula (1) founding mathematical models
- B &theta; + g - k max d = 0 g &prime; &le; g &le; g &prime; &prime; A T &theta; &le; &psi; &OverBar; - - - ( 1 ) Wherein:
D-actual power load;
G', g, g "-be respectively power supply minimum output, actually to exert oneself and most high output;
B-node admittance matrix;
A tthe transposed matrix of-node branch road incidence matrices A;
θ-node voltage phase angle;
-branch road maximum permissible voltage phase angle;
K maxthe ratio of-maximum supply load and actual power load, the peak load multiple normal system of electrical network meets k max>=1, k maxd represents the net capability of electrical network, k maxmore can adapt to higher load level greatlyr, power supply capacity is stronger;
(12.4) under system normal operating mode, do not consider stoppage in transit and the maintenance of unit, set up corresponding minimum load Mathematical Modeling;
(12.5) exert oneself limited because power supply is adjustable, grid equipment has certain margin of safety, and the power supply capacity of electrical network is also by the restriction of low load levels, and the receptible minimum load of electrical network is formula (2):
- B &theta; + g - k min d = 0 g &prime; &le; g &le; g &prime; &prime; A T &theta; &le; &psi; &OverBar; - - - ( 2 )
Wherein:
K minthe ratio of-minimum supply load and actual power load, also referred to as minimum supply load multiple; Normal system should meet k min≤ 1, k minless, electrical network more can adapt to lower load level; k mind is the minimum power supply capacity of electrical network;
(12.6) peak-valley difference k is calculated according to model maxd-k mind.
5. power load distributing according to claim 4 unbalanced power network development Coordination Analysis method, is characterized in that: described step (13) comprises step by step following:
(13.1) maximum supply load multiple k is solved max, embody electrical network to the adaptability degree of high load capacity level, this value is larger, then the adaptability of electrical network to load growth is stronger;
(13.2) minimum supply load multiple k is solved min, embody electrical network to the adaptedness of underload, this value is less, more can adapt to the great fluctuation process of load;
(13.3) peak-valley difference that can bear of system is larger, and the reliability of system is stronger, and this value power system dispatching department carries out operational mode arrangement and peak regulation provides reference, and its size embodies the coordination degree of electrical network and load.
CN201510574454.4A 2015-09-10 2015-09-10 A kind of unbalanced power network development Coordination Analysis method of power load distributing Active CN105207200B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201510574454.4A CN105207200B (en) 2015-09-10 2015-09-10 A kind of unbalanced power network development Coordination Analysis method of power load distributing

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201510574454.4A CN105207200B (en) 2015-09-10 2015-09-10 A kind of unbalanced power network development Coordination Analysis method of power load distributing

Publications (2)

Publication Number Publication Date
CN105207200A true CN105207200A (en) 2015-12-30
CN105207200B CN105207200B (en) 2018-04-24

Family

ID=54954710

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201510574454.4A Active CN105207200B (en) 2015-09-10 2015-09-10 A kind of unbalanced power network development Coordination Analysis method of power load distributing

Country Status (1)

Country Link
CN (1) CN105207200B (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108921429A (en) * 2018-06-29 2018-11-30 中国能源建设集团广东省电力设计研究院有限公司 Method is determined with controllable energy source unit electrical power in the fixed electric type intelligent micro-grid of hot/cold
CN109086937A (en) * 2018-08-09 2018-12-25 国网山东省电力公司经济技术研究院 A kind of substation's load distribution algorithm
CN109754129A (en) * 2019-02-21 2019-05-14 清华大学 Electric load form a team power supply plan optimization method and optimization device
CN112803393A (en) * 2021-01-04 2021-05-14 竺炜 Main network source-network-load coordination evaluation method based on line load rate characteristics

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102622711A (en) * 2012-03-31 2012-08-01 天津大学 Power distribution network planning method based on maximum power supply capacity
CN103280810A (en) * 2013-04-15 2013-09-04 江苏省电力公司南京供电公司 Optimized dispatching method for improving load rate of power distribution network
JP5557801B2 (en) * 2010-06-15 2014-07-23 株式会社日立製作所 System state calculation device, system control device, system state calculation system, distribution system power flow simulation device, system state calculation method, system control method, power distribution system power flow simulation method, and program thereof
CN104616214A (en) * 2015-02-12 2015-05-13 国家电网公司 Method for evaluating power supply reliability of power distribution network

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP5557801B2 (en) * 2010-06-15 2014-07-23 株式会社日立製作所 System state calculation device, system control device, system state calculation system, distribution system power flow simulation device, system state calculation method, system control method, power distribution system power flow simulation method, and program thereof
CN102622711A (en) * 2012-03-31 2012-08-01 天津大学 Power distribution network planning method based on maximum power supply capacity
CN103280810A (en) * 2013-04-15 2013-09-04 江苏省电力公司南京供电公司 Optimized dispatching method for improving load rate of power distribution network
CN104616214A (en) * 2015-02-12 2015-05-13 国家电网公司 Method for evaluating power supply reliability of power distribution network

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
叶彬等: "配电网发展协调性评估", 《电力系统及其自动化学报》 *

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108921429A (en) * 2018-06-29 2018-11-30 中国能源建设集团广东省电力设计研究院有限公司 Method is determined with controllable energy source unit electrical power in the fixed electric type intelligent micro-grid of hot/cold
CN108921429B (en) * 2018-06-29 2021-06-08 中国能源建设集团广东省电力设计研究院有限公司 Method for determining electric power of controllable energy source unit in heat/cold power-determination type intelligent micro-grid
CN109086937A (en) * 2018-08-09 2018-12-25 国网山东省电力公司经济技术研究院 A kind of substation's load distribution algorithm
CN109754129A (en) * 2019-02-21 2019-05-14 清华大学 Electric load form a team power supply plan optimization method and optimization device
CN112803393A (en) * 2021-01-04 2021-05-14 竺炜 Main network source-network-load coordination evaluation method based on line load rate characteristics
CN112803393B (en) * 2021-01-04 2022-05-31 竺炜 Main network source-network-load coordination evaluation method based on line load rate characteristics

Also Published As

Publication number Publication date
CN105207200B (en) 2018-04-24

Similar Documents

Publication Publication Date Title
Elbasuony et al. A unified index for power quality evaluation in distributed generation systems
Chen et al. A method to evaluate total supply capability of distribution systems considering network reconfiguration and daily load curves
Su et al. Optimal PV inverter reactive power control and real power curtailment to improve performance of unbalanced four-wire LV distribution networks
Weckx et al. Combined central and local active and reactive power control of PV inverters
Singh et al. Introduction to FACTS controllers: A technological literature survey
CN107147107A (en) A kind of phase modifier points distributing method for suppressing many chain commutation failures of direct current
CN104269847B (en) A kind of flexible ring network control system runs and tide optimization method
CN103036230A (en) Dynamic equivalence method of alternating-current-direct-current serial-parallel large power system based on engineering application
CN106374513B (en) A kind of more microgrid dominant eigenvalues optimization methods based on leader-followers games
CN105207200A (en) Development coordination analyzing method for power grid with load distribution unbalance
CN108493998B (en) Robust power transmission network planning method considering demand response and N-1 expected faults
US20160315471A1 (en) Systems and methods for improved stability of power systems
CN103972927A (en) Integrated control method for transforming microgrid containing photovoltaic/stored energy generating system from connected grid to isolated grid
CN102930141A (en) Quick calculation method for controlling power grid complicated monitoring section tidal current
CN105743135B (en) A kind of receiving end power network extra-high voltage alternating current-direct current is optimal by electric ratio appraisal procedure
Shinde et al. Review on high penetration of rooftop solar energy with secondary distribution networks using smart inverter
CN113191675B (en) Multi-direct-current-sending-end power grid planning scheme adaptability evaluation method and system
Diwold et al. Coordinated voltage-control in distribution systems under uncertainty
CN103560497A (en) Short-circuit current limiting method based on power grid topological adjustment
Zenhom et al. A comprehensive review of renewables and electric vehicles hosting capacity in active distribution networks
CN103762593B (en) Trans-regional AC and DC networking safety and stability coordination control measure real-time quantification method
CN107769187A (en) A kind of Optimal Configuration Method suitable for voltage-type DC power flow controller
CN106372764A (en) 10kV distribution network and 10kV distribution network coordination configuration method
CN104348180B (en) Distributed power supply grid-connected point and access mode selection method
Choudhary et al. Impact of distributed generator controllers on the coordination of overcurrent relays in microgrid

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant