CN109245096A - A kind of active distribution network net capability calculation method - Google Patents
A kind of active distribution network net capability calculation method Download PDFInfo
- Publication number
- CN109245096A CN109245096A CN201811219017.0A CN201811219017A CN109245096A CN 109245096 A CN109245096 A CN 109245096A CN 201811219017 A CN201811219017 A CN 201811219017A CN 109245096 A CN109245096 A CN 109245096A
- Authority
- CN
- China
- Prior art keywords
- distribution network
- power
- load
- power output
- power supply
- 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
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
-
- 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]
-
- 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
- H02J3/003—Load forecast, e.g. methods or systems for forecasting future load demand
Abstract
The invention discloses a kind of active distribution network net capability calculation methods, the described method comprises the following steps: based on controlled distribution formula power supply units limits and renewable distributed generation resource power output probability distribution, initialization distributed generation resource power output；Based on power distribution network radioactivity topological constraints, network topology is initialized；Based on controllable burden price and capacity-constrained, controllable burden is initialized；Repeated power flow algorithm is taken to solve active distribution network power supply capacity.The present invention accurately calculates the safe load capacity that power distribution network allows to access, can preferably instruct the actual optimization of power distribution network to run, meet the needs in practical application on the basis of considering the control of active distribution network source net lotus.
Description
Technical field
The present invention relates to the active distribution networks that Power System Analysis field more particularly to a kind of consideration source net lotus act synergistically
Net capability calculation method.
Background technique
Power distribution network net capability (Total Supply Capability, TSC)) it can be described as institute in power distribution network
When thering is feeder line N-1 verification and transforming plant main transformer N-1 verification to be all satisfied, the peak load of the power distribution network institute energy band.To consider when N-1
Load between main transformer and feeder line turns the capacity of band, main transformer and feeder line, in network between main transformer and the communication relationship between feeder line etc. is matched
The constraint of power grid actual motion.Power distribution network net capability gives efficiency and warp of the power distribution network in safe and reliable range
The highest operating point of Ji property, method for solving can be divided mainly into two class of analytic method and linear programming model method[1-2]。
The a large amount of loads such as distributed generation resource DG (distributed generation) and electric car accesses are to power distribution network
Safe and reliable operation have an impact so that power grid becomes bi-directional current from unidirectional trend；And advanced information communication and electric power
The application of electronic technology, the development and utilization to Demand-side resource further promote traditional unidirectional passive type power distribution network gradually to develop
For two-way interaction, the active distribution network ADN (active distribution network) of Multi-value coordination[3-4].Due to ADN's
Primary system has " source-net-lotus " ternary structural[5-6]: " source " refers to all kinds of distributed generation resources and energy storage in ADN, wherein dividing
Cloth power supply is divided into controllable type and batch-type, and common controllable type distributed generation resource has miniature gas turbine MT (micro-
Turbine), diesel-driven generator, fuel cell etc., batch-type distributed generation resource include wind-driven generator WT (wind
Turbine), photovoltaic PV (photovoltaic) etc.；" net " mainly includes the power equipments such as transformer, route, switch, important
Function is to manage trend by flexible network topology；" lotus " refers to all kinds of burdened resources of Demand-side, including conventional load,
Interruptible load, translatable load etc.[7]。
Summary of the invention
The present invention provides a kind of active distribution network net capability calculation method, the present invention is considering active distribution network
On the basis of the control of source net lotus, the safe load capacity that power distribution network allows to access accurately is calculated, described below:
A kind of active distribution network net capability calculation method, the described method comprises the following steps:
Based on controlled distribution formula power supply units limits and renewable distributed generation resource power output probability distribution, initialization is distributed
Power supply power output；
Based on power distribution network radioactivity topological constraints, network topology is initialized；Based on controllable burden price and capacity
Constraint, initializes controllable burden；
Repeated power flow algorithm is taken to solve active distribution network power supply capacity.
Wherein, described based on controlled distribution formula power supply units limits and renewable distributed generation resource power output probability distribution, just
Beginningization distributed generation resource power output specifically:
Photovoltaic power output is simulated using monte carlo method, obtains the probability power output of photovoltaic；Using Monte Carlo side
Method simulates blower power output, obtains the probability distribution of wind speed, and then obtains blower power output；
Probability power output, the probability distribution of wind speed, blower power output based on photovoltaic generate blower and the active power of photovoltaic goes out
Power；
According to the constraint of controlled distribution formula power supply, the power output of controlled distribution formula power supply is initialized.
Wherein, described to be based on the topological constraints of power distribution network radioactivity, network topology is initialized specifically:
swj=randi (size (Lj))
Wherein, swjThe number turned on the switch when carrying out network reconfiguration for power distribution network；Randi () is random bracket function；
Size () is the function of judgment matrix dimension；LjFor circuit number set included in the basic ring of power distribution network.
Wherein, described to be based on controllable burden price and capacity-constrained, controllable burden is initialized specifically:
λl=unifrnd (λl1(p),λl2(p))
Wherein, λlThe rate of load condensate of demand response is participated in for i-th of user；λl1(p) be excitation electricity price when being p user participate in needing
Seek the rate of load condensate lower limit of response；λl2(p) be motivate electricity price when being p user participate in the rate of load condensate upper limit of demand response.
It is further, described that repeated power flow algorithm is taken to solve active distribution network power supply capacity specifically:
(1) iteration step length h is determined0, iteration convergence precision ε and entire active distribution network system loading increased times k；
(2) it is based on entire active distribution network system loading increased times k, updates the load of each node of entire active distribution network
S=S+k*Sd；
(3) Load flow calculation is carried out to updated node load S, judges whether to meet active distribution network safe operation item
Part, if being unsatisfactory for condition, i.e., security constraint is out-of-limit, thens follow the steps (4)；If meeting condition, i.e., security constraint does not have out-of-limit, then
It executes step (2)；
(4) the critical point section for determining load growth multiple, enables k1=k-h0, k2=k；
(5) judge whether the critical point of load growth multiple meets iteration precision requirement , i.e. ∣ k2-k1 ∣ ﹤ ε.If meeting precision
It is required that output power supply capacity thens follow the steps (6) as a result, if being unsatisfactory for required precision；
(6) each node load is updated according to load multiple and carries out Load flow calculation, if out-of-limit, two points of critical point sections are enabled
k2=(k1+k2)/2 execute step (5)；If without out-of-limit, two points of critical point sections enable k1=(k1+k2)/2 execute step
(5)。
The beneficial effect of the technical scheme provided by the present invention is that: the present invention is in the base for considering the control of active distribution network source net lotus
On plinth, the safe load capacity that power distribution network allows to access accurately is calculated, is the weight for realizing the work of power distribution network evaluation of power supply capability
Content is wanted, facilitates power distribution network planning of science activities of the China under new environments such as " coal change electricity ", also can preferably instruct power distribution network
Actual optimization operation.
Detailed description of the invention
Fig. 1 is provided by the invention using repeated power flow algorithm calculating active distribution network net capability flow chart；
Fig. 2 is the structure chart of 33 Node power distribution system of IEEE；
Fig. 3 is route load factor distribution schematic diagram in the embodiment of the present invention；
Fig. 4 is distribution transformer load rate distribution schematic diagram in the embodiment of the present invention.
Specific embodiment
To make the object, technical solutions and advantages of the present invention clearer, embodiment of the present invention is made below further
Ground detailed description.
Embodiment 1
A kind of active distribution network net capability calculation method, referring to Fig. 1, method includes the following steps:
101: based on controlled distribution formula power supply units limits and renewable distributed generation resource power output probability distribution, initialization point
Cloth power supply power output；
102: being based on the topological constraints of power distribution network radioactivity, network topology is initialized；Based on controllable burden price and
Capacity-constrained initializes controllable burden
103: repeated power flow algorithm being taken to solve active distribution network power supply capacity.
In conclusion 101- step 103 is considering the lotus control of active distribution network source net to the embodiment of the present invention through the above steps
On the basis of system, the safe load capacity that power distribution network allows to access accurately is calculated, can preferably instruct the reality of power distribution network excellent
Change operation, meets the needs in practical application.
Embodiment 2
The scheme in embodiment 1 is further introduced below with reference to specific calculation formula, Fig. 1 and example,
Mainly include the following steps, described below:
One, based on the analysis of active distribution network, net lotus control program in source in active distribution network is initialized
(11) based on controlled distribution formula power supply units limits and renewable distributed generation resource power output probability distribution, initialization point
Cloth power supply power output.
For the uncertain of renewable energy, it is thus necessary to determine that its probability density distribution, therefore specific steps are as follows:
Step a simulates photovoltaic power output using monte carlo method, and the probability power output of photovoltaic can be represented by the formula:
Wherein, f (PM) it is that go out activity of force be P to photovoltaic power generationMWhen corresponding probability density function；Γ(α+β),Γ(α),Γ
(β) is gamma function；PMFor the power of current photovoltaic output；RMFor the maximum value of photovoltaic output power；α is Beta distribution
Form parameter；β is the form parameter of Beta distribution；X is integration variable.
Step b simulates blower power output using monte carlo method, and the probability distribution of wind speed can be represented by the formula:
Wherein, f (v) is the probability density that wind speed is v；K is the form parameter of Weibull distribution；V is current wind speed；C is
The scale parameter of Weibull distribution.
To obtain blower power output formula:
Wherein, PwtThe output power for being blower when wind speed is v；viFor the cutting speed of blower；voFor cutting out for blower
Speed；vrFor the rated wind speed of blower；PrFor the rated power of blower.
When specific implementation, the active power power output of corresponding blower and photovoltaic is generated based on above-mentioned formula (1)-(4).
Step c initializes the power output of controlled distribution formula power supply, method according to the constraint of controlled distribution formula power supply
It is as follows:
PMT,g=unifrnd (PMT,g,min,PMT,g,max) (5)
Wherein, PMT,gFor the output power of g platform miniature gas turbine；Unifrnd () is uniformly distributed function；PMT,g,min
For the output power lower limit of g platform miniature gas turbine；PMT,g,maxFor the output power upper limit of g platform miniature gas turbine.
(12) topological constraints of power distribution network radioactivity are based on, network topology is initialized:
swj=randi (size (Lj)) (6)
Wherein, swjThe number turned on the switch when carrying out network reconfiguration for power distribution network；Randi () is random bracket function；
Size () is the function of judgment matrix dimension；LjFor circuit number set included in the basic ring of power distribution network.
(13) it is based on controllable burden price and capacity-constrained, controllable burden is initialized:
λl=unifrnd (λl1(p),λl2(p)) (7)
Wherein, λlThe rate of load condensate of demand response is participated in for i-th of user；λl1(p) be excitation electricity price when being p user participate in needing
Seek the rate of load condensate lower limit of response；λl2(p) be motivate electricity price when being p user participate in the rate of load condensate upper limit of demand response.
Wherein, the switch solution of the power output, network topology of controlled distribution formula power supply and the excitation electricity price of controllable burden, i.e., it is public
The corresponding source net lotus Adjusted Option being deconstructed into embodiment 1 in step 105 of formula (5) (6) (7).
Two, the power supply capacity of active distribution network calculates
The calculation formula of active distribution network power supply capacity is as follows:
Wherein, STSCIt is expressed as the peak load that assessment area can supply, S0jFor the currently practical load of node j；Sdj
For the load growth radix of load growth region interior joint j, S is takendj=S0j, N expression power distribution network node number.K is load growth
Multiple；D is the region for being powered capability evaluation.
Repeated power flow algorithm is taken to solve the specific steps of power supply capacity are as follows:
(21) iteration step length h is determined0, iteration convergence precision ε and entire active distribution network system loading increased times k；
(22) it is based on entire active distribution network system loading increased times k, updates the negative of each node of entire active distribution network
Lotus S=S+k*Sd；
(23) Load flow calculation is carried out to updated node load S, judges whether to meet active distribution network safe operation item
Part, if being unsatisfactory for condition, i.e., security constraint is out-of-limit, thens follow the steps (24)；If meeting condition, i.e., security constraint does not have out-of-limit,
Then follow the steps (22)；
(24) the critical point section for determining load growth multiple, enables k1=k-h0, k2=k；
Wherein, k1For left critical point, k2For right critical point.
(25) judge whether the critical point of load growth multiple meets iteration precision requirement , i.e. ∣ k2-k1 ∣ ﹤ ε.If meeting precision
It is required that output power supply capacity thens follow the steps (26) as a result, if being unsatisfactory for required precision；
Wherein, the value of ε is to guarantee the certain accuracy of calculated result, can generally take 0.00001, root when specific implementation
Set according in practical application, the embodiment of the present invention is without limitation.
(26) each node load is updated according to load multiple and carries out Load flow calculation, if out-of-limit, two points of critical point sections are enabled
k2=(k1+k2)/2 execute step (25)；If without out-of-limit, two points of critical point sections enable k1=(k1+k2)/2 execute step
(25)。
In conclusion the embodiment of the present invention accurately calculates and matches on the basis of considering the control of active distribution network source net lotus
Power grid allows the safe load capacity accessed, can preferably instruct the actual optimization of power distribution network to run, meet in practical application
Needs.
Embodiment 3
The embodiment of the present invention chooses ADN example of improved 33 Node power distribution system of IEEE as research, and Fig. 2 gives
Improved active distribution network system diagram.Load at 8,14,24,30,32 nodes is as interruptible load processing, interruptible load
The proportional region that interrupts be 0~10%.It is mounted with gas turbine as controllable DG at node 8,13,16 and 25.Gas turbine
Installed capacity be 600,600,650,650kW, unit combustion gas cost takes 0.4 yuan/kWh.
10kV route attaching capacity of distribution transform is provided according to " distribution network planning designing technique directive/guide ", single back line attaching is matched
Varying capacity is no more than 12000kVA.If attaching capacity of distribution transform is too low, it will cause the waste of line powering ability or distribution transforming be negative
Load rate is higher；If attaching capacity of distribution transform is excessively high, circuit overload or distribution transforming light running will cause, so answering from economic consideration
This makes route attaching capacity of distribution transform tend to be reasonable.
Table 1 provides route attaching capacity distribution situation, as can be seen from Table 1, route attaching capacity of distribution transform being total to lower than 3000kVA
9, route attaching capacity of distribution transform is less than normal, should develop the utilization rate for improving route according to actual load；Attaching capacity of distribution transform exists
Totally 10, the route of 3000~8000kVA, route attaching distribution transforming has certain nargin, can satisfy load growth requirement；Attaching is matched
Totally 4, route of the varying capacity between 8000~12000kVA, attaching capacity of distribution transform is relatively reasonable；Attaching capacity of distribution transform is more than
Totally 2, the route of 12000kVA, it is entirely located in region 2.Attaching capacity of distribution transform is higher, once the rising of distribution transformer load rate will will cause
Circuit overload.
1 route attaching capacity distribution situation of table
| Range | <3 | 3~5 | 5~8 | 8~12 | 12~15 | >15 | It is total |
| Region 1 | 1 | 0 | 1 | 1 | 1 | 1 | 5 |
| Road total number ratio (%) that the line is busy | 20.00 | 0.00 | 20.00 | 20.00 | 20.00 | 20.00 | 100.00 |
| Region 2 | 8 | 3 | 6 | 3 | 0 | 0 | 20 |
| Road total number ratio (%) that the line is busy | 40.00 | 15.00 | 30.00 | 15.00 | 0.00 | 0.00 | 100.00 |
| It is total | 9 | 3 | 7 | 4 | 1 | 1 | 25 |
| Road total number ratio (%) that the line is busy | 36.00 | 12.00 | 28.00 | 16.00 | 4.00 | 4.00 | 100.00 |
Referring to Fig. 3, the excessively high capacity of distribution transform of route includes following two points reason:
(1) some route capacity of distribution transform are higher, and route beam length is more than 5km, these routes are distributed in area mostly
Domain 2, radius of electricity supply is big, and power supply point is less, and line load rate is higher.It should be in time to these lines after the construction of the following new power point
Road cut changing.
(2) capacity of distribution transform selection considers according to saturation loading, and it is relatively low to build up rear initial stage power load, causes route
Load is not heavy and the capacity of distribution transform of attaching is very big.
In this case, on the one hand make that place capacity is idle, transformer loss is larger；On the other hand, the load tool of distribution transforming
There is certain development space, once load growth, route where will lead to part distribution transforming is fully loaded or overloads, therefore planning is answered in year
These line operational datas are tracked, discovery heavy-overload situation solves in time.
By carrying out subregion to test example, the power supply capacity analysis of different regions is calculated, by formula (17)-(19), finally
The entropy weight for obtaining two indices is respectively 0.9028 and 0.0972 again.As it can be seen that power supply capacity index is provided than the control indicator of costs
Decision information it is more, compromise optimal solution should slightly be biased to the bigger point of power supply capacity.By comparison, it was found that existing power grid is not if taken
Measure, the load that region 1 can allow to access are 0.2017 times of existing load, and the principal element for influencing load access is section
Voltage at point 18.
From line load rate, route is averaged maximum current 108A, Rate of average load 38%.Table 2 is line load rate
Distribution situation.
2 line load rate distribution situation of table
Referring to fig. 4, it is analyzed by sample data, the distribution transforming average aggregate load factor in region 1 and region 2 is 58.34%, is matched
Varying load rate is more than that 80% route has 18, wherein heavy duty 16, overloads 2；There are 6 distribution transformer load rates 20% with
Under, it is in light running state, distribution transforming no-load loss is larger.
3 distribution transformer load rate distribution situation of table
In these cases, if can will power in the case where carrying out the Collaborative Control of source net lotus and reasonable arrangement cost
Multiple is increased to 2.2911, and cost at this time is also in the reasonable scope.It is also possible to analyze the power supply capacity in each region
Situation, as shown in table 4.
4 different zones power supply capacity situation of table
Bibliography
[1] Ren Jiafeng, Mu Qitian, Yang Yongchun, active distribution network evaluation of power supply capability [J] for waiting to be layered based on contribution degree
Power construction, 2018,39 (8): 77-84.
[2] Zhou Wei, Sun Kai, Sun Hui wait active distribution network net capability dual-layer optimization of the based on chance constrained programming
[J] electric power system protection and control, 2018,46 (04): 70-77.
[3] Yao Jianguo, Yang Shengchun, Wang Ke wait smart grid " source-net-lotus " interaction operation control concept and research framework
[J] Automation of Electric Systems, 2012,36 (21): 1-6.
[4] it once rings, Yang Yongqi, Liu Dunnan wait energy internet " source-net-lotus-storage " coordination optimization operation mode and pass
Key technology [J] electric power network technique, 2016,40 (01): 114-124.
[5] Li Zhuyun, Lei Xia, Qiu Shaoyin wait to consider the active distribution network coordinated planning of " source-net-lotus " tripartite's interests
[J] electric power network technique, 2017,41 (02): 378-387.
[6] Li Zhenkun, Chen Xing warbler, Liu Haoming wait real-time analysis and assessment [J] the electric system of power distribution network power supply capacity certainly
Dynamicization, 2009,33 (06): 36-39.
[7] Xing Haijun, Cheng Haozhong, Shen Xi wait active distribution network project study to summarize [J] electric power network technique, and 2015,39
(10):2705-2711.
It will be appreciated by those skilled in the art that attached drawing is the schematic diagram of a preferred embodiment, the embodiments of the present invention
Serial number is for illustration only, does not represent the advantages or disadvantages of the embodiments.
The foregoing is merely presently preferred embodiments of the present invention, is not intended to limit the invention, it is all in spirit of the invention and
Within principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.
Claims (5)
1. a kind of active distribution network net capability calculation method, which is characterized in that the described method comprises the following steps:
Based on controlled distribution formula power supply units limits and renewable distributed generation resource power output probability distribution, distributed generation resource is initialized
Power output；
Based on power distribution network radioactivity topological constraints, network topology is initialized；Based on controllable burden price and capacity-constrained,
Controllable burden is initialized；
Repeated power flow algorithm is taken to solve active distribution network power supply capacity.
2. a kind of active distribution network net capability calculation method according to claim 1, which is characterized in that the base
In controlled distribution formula power supply units limits and renewable distributed generation resource power output probability distribution, initialization distributed generation resource power output tool
Body are as follows:
Photovoltaic power output is simulated using monte carlo method, obtains the probability power output of photovoltaic；Using monte carlo method pair
Blower power output is simulated, and the probability distribution of wind speed is obtained, and then obtains blower power output；
Probability power output, the probability distribution of wind speed, blower power output based on photovoltaic generate the active power power output of blower and photovoltaic；
According to the constraint of controlled distribution formula power supply, the power output of controlled distribution formula power supply is initialized.
3. a kind of active distribution network net capability calculation method according to claim 1, which is characterized in that the base
In power distribution network radioactivity topological constraints, network topology is initialized specifically:
swj=randi (size (Lj))
Wherein, swjThe number turned on the switch when carrying out network reconfiguration for power distribution network；Randi () is random bracket function；size()
For the function of judgment matrix dimension；LjFor circuit number set included in the basic ring of power distribution network.
4. a kind of active distribution network net capability calculation method according to claim 1, which is characterized in that the base
In controllable burden price and capacity-constrained, controllable burden is initialized specifically:
λl=unifrnd (λl1(p),λl2(p))
Wherein, λlThe rate of load condensate of demand response is participated in for i-th of user；λl1(p) be excitation electricity price when being p user participate in demand and ring
The rate of load condensate lower limit answered；λl2(p) be motivate electricity price when being p user participate in the rate of load condensate upper limit of demand response.
5. a kind of active distribution network net capability calculation method according to claim 1, which is characterized in that described to adopt
Repeated power flow algorithm is taken to solve active distribution network power supply capacity specifically:
(1) iteration step length h is determined0, iteration convergence precision ε and entire active distribution network system loading increased times k；
(2) it is based on entire active distribution network system loading increased times k, updates the load S=S of each node of entire active distribution network
+k*Sd；
(3) Load flow calculation is carried out to updated node load S, judges whether to meet active distribution network safe operating conditions, if
It is unsatisfactory for condition, i.e. security constraint is out-of-limit, thens follow the steps (4)；If meeting condition, i.e., security constraint does not have out-of-limit, then executes
Step (2)；
(4) the critical point section for determining load growth multiple, enables k1=k-h0, k2=k；
(5) judge whether the critical point of load growth multiple meets iteration precision requirement , i.e. ∣ k2-k1 ∣ ﹤ ε.If meeting required precision,
Power supply capacity is exported as a result, if being unsatisfactory for required precision, thens follow the steps (6)；
(6) each node load is updated according to load multiple and carries out Load flow calculation, if out-of-limit, two points of critical point sections enable k2=
(k1+k2)/2 execute step (5)；If without out-of-limit, two points of critical point sections enable k1=(k1+k2)/2 execute step (5).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811219017.0A CN109245096A (en) | 2018-10-19 | 2018-10-19 | A kind of active distribution network net capability calculation method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811219017.0A CN109245096A (en) | 2018-10-19 | 2018-10-19 | A kind of active distribution network net capability calculation method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109245096A true CN109245096A (en) | 2019-01-18 |
Family
ID=65053683
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811219017.0A Pending CN109245096A (en) | 2018-10-19 | 2018-10-19 | A kind of active distribution network net capability calculation method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109245096A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110619443A (en) * | 2019-09-30 | 2019-12-27 | 天津大学 | Active power distribution network power supply capacity calculation method based on TSC curve |
| CN113095611A (en) * | 2019-12-23 | 2021-07-09 | 中国农业大学 | Low-voltage distribution network coordinated planning method containing electric heating equipment and photovoltaic power supply |
| CN117436222A (en) * | 2023-12-21 | 2024-01-23 | 国网天津市电力公司电力科学研究院 | Method and system for calculating maximum power supply capacity of power distribution network |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103279656A (en) * | 2013-05-20 | 2013-09-04 | 天津大学 | Method for calculating maximum power supply capacity of power distribution network based on load flow calculation |
| CN103779861A (en) * | 2013-12-30 | 2014-05-07 | 天津大学 | Active reconfiguration strategy of distribution network and preventing control method thereof |
| CN104716641A (en) * | 2015-01-06 | 2015-06-17 | 上海电力学院 | Method for assessing power supply capacity of power distribution network provided with distributed generation |
-
2018
- 2018-10-19 CN CN201811219017.0A patent/CN109245096A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103279656A (en) * | 2013-05-20 | 2013-09-04 | 天津大学 | Method for calculating maximum power supply capacity of power distribution network based on load flow calculation |
| CN103779861A (en) * | 2013-12-30 | 2014-05-07 | 天津大学 | Active reconfiguration strategy of distribution network and preventing control method thereof |
| CN104716641A (en) * | 2015-01-06 | 2015-06-17 | 上海电力学院 | Method for assessing power supply capacity of power distribution network provided with distributed generation |
Non-Patent Citations (4)
| Title |
|---|
| CHENGSI YONG等: "Multiobjective Scheduling of an Active Distribution Network Based on Coordinated Optimization of Source Network Load", 《APPLIED SCIENCES》 * |
| 吴大伟: "含分布式电源的供电能力研究", 《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》 * |
| 张嘉堃: "含分布式电源的配电网供电能力研究", 《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》 * |
| 李振坤等: "配电网供电能力的实时评估分析", 《电力系统自动化》 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110619443A (en) * | 2019-09-30 | 2019-12-27 | 天津大学 | Active power distribution network power supply capacity calculation method based on TSC curve |
| CN113095611A (en) * | 2019-12-23 | 2021-07-09 | 中国农业大学 | Low-voltage distribution network coordinated planning method containing electric heating equipment and photovoltaic power supply |
| CN117436222A (en) * | 2023-12-21 | 2024-01-23 | 国网天津市电力公司电力科学研究院 | Method and system for calculating maximum power supply capacity of power distribution network |
| CN117436222B (en) * | 2023-12-21 | 2024-04-23 | 国网天津市电力公司电力科学研究院 | Method and system for calculating maximum power supply capacity of power distribution network |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109214593B (en) | Multi-objective evaluation method for power supply capacity of active power distribution network | |
| CN105389633B (en) | It is a kind of meter and distributed generation resource Substation Optimization planing method | |
| Syahputra | Fuzzy multi-objective approach for the improvement of distribution network efficiency by considering DG | |
| CN112018823B (en) | Multi-objective robust optimization method for power distribution network | |
| Zheng et al. | Stochastic optimization of cost-risk for integrated energy system considering wind and solar power correlated | |
| CN110119888A (en) | A kind of active gridding planing method based on distributed generation resource access | |
| CN109245096A (en) | A kind of active distribution network net capability calculation method | |
| CN114825469B (en) | Distributed power supply cluster output evaluation method and system | |
| Jiao et al. | An optimization model and modified harmony search algorithm for microgrid planning with ESS | |
| Zhang et al. | Efficient design of energy microgrid management system: a promoted Remora optimization algorithm-based approach | |
| Yang et al. | Deep learning-based distributed optimal control for wide area energy Internet | |
| Xiao et al. | Optimal sizing and siting of soft open point for improving the three phase unbalance of the distribution network | |
| Musa et al. | Optimal sizing and location of multiple distributed generation for power loss minimization using genetic algorithm | |
| CN110245819A (en) | A kind of energy efficiency evaluating method of multiple-energy-source interacted system | |
| CN109638837B (en) | New energy grid-connected-oriented dynamic load management method and system | |
| Zhang et al. | Optimal solar panel placement in microgrids | |
| Wang et al. | Optimal recovery strategy of DERs integrated distribution network based on scheduling rationality | |
| CN115618616A (en) | Method for constructing hybrid energy storage reliability evaluation model of source, network and load resources | |
| Cheng et al. | The power system multi-objective optimization dispatching containing virtual power plant | |
| Lu et al. | Planning of Soft Open Point Considering Demand Response | |
| Li et al. | Distributed power dispatching solution for a future economic and environment-friendly energy internet | |
| Afzalan et al. | Placement and sizing of DG using PSO&HBMO algorithms in radial distribution networks | |
| Xing et al. | Differential evolution algorithm based on entropy weight method to determine the weight to optimize the configuration of wind, solar, and diesel microgrid | |
| CN106295915B (en) | The method of optimal dispatch containing clean energy resource with the constraint of maximum capacity criterion | |
| Yuanyuan et al. | Research on the available power supply capacity assessment method considering the access of large-scale new energy generation and electric vehicle charging facilities |
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 | ||
| TA01 | Transfer of patent application right | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20201014 Address after: 510080 Guangdong city of Guangzhou province Luogang District Science City Kexiang Road No. 11, J1 building 3, 4, 5 floor and 3 floor building J3 Applicant after: ELECTRIC POWER Research Institute CHINA SOUTHERN POWER GRID Applicant after: Tianjin University Address before: 300072 Tianjin City, Nankai District Wei Jin Road No. 92 Applicant before: Tianjin University |
|
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190118 |