CN103346563B - Method for evaluating maximum permeability of distributed generation based on time scene access analysis - Google Patents
Method for evaluating maximum permeability of distributed generation based on time scene access analysis Download PDFInfo
- Publication number
- CN103346563B CN103346563B CN201310297943.0A CN201310297943A CN103346563B CN 103346563 B CN103346563 B CN 103346563B CN 201310297943 A CN201310297943 A CN 201310297943A CN 103346563 B CN103346563 B CN 103346563B
- Authority
- CN
- China
- Prior art keywords
- power source
- distributed power
- electrical network
- peak
- load
- 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.)
- Active
Links
- 230000035699 permeability Effects 0.000 title claims abstract description 48
- 238000000034 method Methods 0.000 title claims abstract description 30
- 238000004458 analytical method Methods 0.000 title claims abstract description 25
- 230000002123 temporal effect Effects 0.000 claims description 20
- 238000000342 Monte Carlo simulation Methods 0.000 claims description 2
- 230000005540 biological transmission Effects 0.000 claims description 2
- 238000011156 evaluation Methods 0.000 abstract description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000004088 simulation Methods 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 230000035515 penetration Effects 0.000 description 1
- 230000001360 synchronised effect Effects 0.000 description 1
- 230000009897 systematic effect Effects 0.000 description 1
Landscapes
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention provides a method for evaluating the maximum permeability of a distributed generation based on the time scene access analysis. The method for evaluating the maximum permeability of the distributed generation based on the time scene access analysis comprises the steps of analyzing the load characteristic of a power grid and the wind generation characteristic of the distributed generation, selecting a time scene of the power grid, analyzing the access capacity of the power grid in the time scene of the power grid, and comprehensively determining the maximum permeability of the distributed generation. According to the method for evaluating the maximum permeability of the distributed generation based on the time scene access analysis, the load characteristic of the power grid and the wind generation characteristic of the distributed generation are analyzed, the time scene of the power grid is selected, the access capacity of the power grid is analyzed in the time scene of the power grid, an evaluation result of the maximum permeability of the distributed generation is then obtained, and therefore evaluation of the access capacity of the distributed generation is well achieved.
Description
Technical field
The invention belongs to distribution network planning technical field, be specifically related to a kind of distributed power source maximum permeability appraisal procedure analyzed based on Novel Temporal Scenario access.
Background technology
Being incorporated into the power networks of distributed energy will make conventional electrical distribution net become an active network from a radial passive network, and this original trend changed in electric power system distributes and protection setting.Meanwhile, have the features such as quantity is many, scope is wide, capacity is little, randomness, intermittence due to distributed power source, along with the large-scale application of distributed power source, distribution network planning will be subject to appreciable impact with operation.
Distributed power source permeability (Penetration Level, PL) weighs the important indicator that in a certain region, distributed power source affects power distribution network, and it is defined as the ratio of distributed power source gross capability and region power load.Distributed power source maximum permeability is assessed, and namely provides the maximum receiving capacity of a certain electrical network to distributed power source.Meet this condition, need electrical network to be all at any one time within various electrical constraints.Along with distributed power source quantity progressively increases, the analysis and assessment of distributed power source maximum permeability have become the important content of distribution network planning, also can produce beneficial effect to the lifting of distributed power source utilization ratio and power distribution network overall efficiency simultaneously.
At present, the assessment of distributed power source maximum permeability generally specifies according to correlation technique directive/guide, or determine based on planning personnel's experience, assessment result truly can not reflect the receiving ability of power distribution network to distributed power source, therefore needs a kind of distributed power source maximum permeability appraisal procedure of systematic science badly.
Summary of the invention
In order to overcome above-mentioned the deficiencies in the prior art, the invention provides a kind of distributed power source maximum permeability appraisal procedure analyzed based on Novel Temporal Scenario access, the method is by analyzing network load characteristic and distributed power source power producing characteristics, choose power grid time scene, and the analysis of electrical network allowed capacity is carried out under selected power grid time scene, and then obtain distributed power source maximum permeability assessment result, can be good at solving the evaluation problem that distributed power source receives ability.
In order to realize foregoing invention object, the present invention takes following technical scheme:
A kind of distributed power source maximum permeability appraisal procedure analyzed based on Novel Temporal Scenario access is provided, said method comprising the steps of:
Step 1: network load characteristic and distributed power source power producing characteristics are analyzed;
Step 2: choose power grid time scene;
Step 3: analyze the electrical network allowed capacity under power grid time scene;
Step 4: the maximum permeability comprehensively determining distributed power source.
In described step 1, described network load characteristic comprises year part throttle characteristics and daily load characteristic; Based on network load historical data, analysis electrical network year part throttle characteristics and electrical network daily load characteristic, determine the peak interval of time of electrical network year part throttle characteristics and the peak interval of time of electrical network daily load characteristic, namely complete the analysis to network load characteristic.
Described electrical network year part throttle characteristics peak interval of time and peak interval of time load corresponding to the peak interval of time of electrical network daily load characteristic be defined as:
PL
peak(t)=PL (t), and PL (t) > PL
min+ 80% (PL
max-PL
min) (1)
PL
valley(t)=PL (t), and PL (t) < PL
min+ 20% (PL
max-PL
min) (2)
Wherein, PL
peakt () is electrical network load peak period, PL
valleyt () is electrical network low-valley interval load, PL (t) is the network load of moment t, PL
maxfor electrical network peak load, PL
minfor electrical network minimum load.
In described step 1, based on distributed power source power producing characteristics model and local climate historical data, the year power producing characteristics curve of distributed power source is obtained by Monte Carlo simulation, determine the peak interval of time of distributed power source year power producing characteristics and the peak interval of time of daily output characteristic, namely complete the analysis to distributed power source power producing characteristics.
The peak interval of time distributed power source peak interval of time corresponding with the peak interval of time of daily output characteristic of power producing characteristics exerted oneself and be defined as described distributed power source year:
PG
peak(t)=PG (t), and PG (t) > PG
min+ 80% (PG
max-PG
min) (3)
PG
valley(t)=PG (t), and PG (t) < PG
min+ 20% (PG
max-PG
min) (4)
Wherein, PG
peakt () is exerted oneself for distributed power source peak period, PG
valleyt () is exerted oneself for distributed power source low-valley interval, PG (t) exerts oneself for the distributed power source of moment t, PG
maxfor distributed power source maximum output, PG
minfor distributed power source minimum load.
In described step 2, comprehensive network load characteristic and distributed power source power producing characteristics analysis result, select electrical network to face the electric situation worst moment, namely choose distributed power source and exert oneself the moment maximum with network load ratio as power grid time scene, concrete choosing method is as follows:
Wherein, T is the moment chosen.
In described step 3, based on the power grid time scene chosen above, carry out the analysis of electrical network allowed capacity;
Described electrical network allowed capacity meets:
Wherein, P
linefor line power, P
limitfor circuit maximum transmission power, V
nodefor node voltage, V
limit-Highand V
limit-Lowbe respectively the upper limit and the lower limit of line voltage, I
sfor system short-circuit electric current, I
limitfor short circuit current limit value.
In described step 4, based on the electrical network allowed capacity analyzed above under the power grid time scene that obtains, comprehensively determine the maximum receiving capacity of distributed power source, i.e. distributed power source maximum permeability.
Compared with prior art, beneficial effect of the present invention is:
(1) the distributed power source maximum permeability appraisal procedure analyzed based on Novel Temporal Scenario access provided by the invention, propose the entire flow of distributed power source permeability assessment, the method is based on network load characteristic, the simulation analysis of distributed power source power producing characteristics and the analytical calculation of electrical network allowed capacity, not only have evaluated the receiving ability of electrical network at different time section, and consider the stochastic behaviour of distributed power source and network load, permeability assessment result adaptability is stronger, solve the problem that the assessment of current distributed power source permeability too relies on experience or imposes uniformity without examining individual cases according to fire protection technology.
(2) the distributed power source maximum permeability appraisal procedure analyzed based on Novel Temporal Scenario access provided by the invention, propose the choosing method of power grid time scene, namely distributed power source is selected to exert oneself the moment the highest with network load ratio, the method, compared with the method for the annual 8760 hours electric situations of electrical network of emulation, is being guaranteed to substantially reduce analytical work amount under the prerequisite assessing accuracy.
Accompanying drawing explanation
Fig. 1 is the distributed power source maximum permeability appraisal procedure flow chart analyzed based on Novel Temporal Scenario access;
Fig. 2 is the year part throttle characteristics schematic diagram in selected area in the embodiment of the present invention;
Fig. 3 is the typical daily load characteristic schematic diagram in selected area in the embodiment of the present invention;
Fig. 4 is the year wind power in selected area in the embodiment of the present invention;
Fig. 5 is the year photovoltaic power curve figure in selected area in the embodiment of the present invention.
Embodiment
Below in conjunction with accompanying drawing, the present invention is described in further detail.
Fig. 1 is the distributed power source maximum permeability appraisal procedure flow chart analyzed based on Novel Temporal Scenario access.
The present embodiment is for certain medium-sized city, the north, choose certain typical 10kV circuit, look to the future and may access photovoltaic (inverter type) and blower fan (synchronous type) two kinds of distributed power sources, line load characteristic and climate change characteristic, all with reference to this area's actual load data and climatic data, carry out the distributed power source maximum permeability assessment analyzed based on Novel Temporal Scenario access for this circuit.
One, network load characteristic is analyzed
Analyze the year part throttle characteristics and typical daily load characteristic of this area, respectively as shown in accompanying drawing 2, accompanying drawing 3.
Network load specificity analysis can obtain, and the load peak period in electrical network year occurs in summer (August), and another peak period of load in electrical network year occurs in winter (February), and the load valley period in year occurs in spring (April); Electrical network daily load generally occurs in night (when 20 ~ 21) peak period, and daily load low-valley interval generally occurs in morning (when 4 ~ 5), and the low-valley interval in the daytime of daily load occurs in noon (when 13).
Two, analysis distribution formula power supply power producing characteristics
Utilize distributed power source to exert oneself model, installation scale and local climate data, emulation obtains the year power producing characteristics of photovoltaic and blower fan, respectively as shown in accompanying drawing 4, accompanying drawing 5.
The analysis of distributed power source power producing characteristics can obtain, and because this area's wind speed in spring is comparatively large, generally occurs in the night in spring the peak period in year of wind power; The solar irradiation intensity in same spring is maximum, the noon generally occurring in spring peak period in year that photovoltaic is exerted oneself.
Three, power grid time scene is chosen
According to the analysis of above part throttle characteristics and power supply power producing characteristics, choose the Novel Temporal Scenario that electrical network allowed capacity is analyzed.When the distributed power source of certain permeability under this Novel Temporal Scenario not by electrical network electrical constraints time, namely think the receiving ability of this permeability level beyond electrical network.It is as shown in table 1 that Novel Temporal Scenario chooses result:
Table 1
| DG type | Date | Moment | Line load rate | DG power factor |
| Blower fan | Spring (April 20) | When 4 | 20% | 90% |
| Photovoltaic | Spring (April 20) | When 13 | 40% | 100% |
Four, electrical network allowed capacity is analyzed
Respectively with photovoltaic, the analysis of electrical network access is carried out under corresponding Novel Temporal Scenario to blower fan, by the power constraint situation under the different permeability of heuristic analysis, simulation result (only listing two kinds of situations near maximum permeability critical value) as shown in table 2:
Table 2
Can be seen by upper table result:
(1) after blower fan access electrical network permeability reaches 65%, when on-position is positioned at line end, blower fan the voltage out-of-limit (10.7kV) of site (U3), short circuit current and line load are within retraining.When blower fan access electrical network permeability is 60%, under various access way, all power constraint can not be broken through.
(2), after photovoltaic access electrical network permeability reaches 95%, when on-position is positioned at line end, the voltage out-of-limit (10.7kV) of grid-connected point (U3), short circuit current and line load are within retraining.When photovoltaic access electrical network permeability is 90%, under various access way, all power constraint can not be broken through.
Five, distributed power source maximum permeability is comprehensively determined
Analyze according to the electrical network allowed capacity under above Novel Temporal Scenario:
(1) when blower fan access electrical network permeability is 60%, under various access way, all can not break through power constraint, therefore can determine that the maximum permeability of blower fan access electrical network in the present embodiment is 60%;
(2) after photovoltaic access electrical network permeability reaches 90%, under various access way, all can not break through power constraint, therefore can determine that the maximum permeability of photovoltaic access electrical network in the present embodiment is 90%.
Six, conclusion
(1) because analysis and assessment are based on the emulation to this area's distributed power source and network load stochastic behaviour, science and the adaptability of therefore permeability assessment are stronger.
(2) by selection network load is less, distributed power source is exerted oneself the larger electric ill-conditioned moment, well can not only reflect the impact of distributed power source on power distribution network, and compared with the method for the annual 8760 hours electric situations of electrical network of emulation, the workload of analysis can be substantially reduced.
Finally should be noted that: above embodiment is only in order to illustrate that technical scheme of the present invention is not intended to limit, although with reference to above-described embodiment to invention has been detailed description, those of ordinary skill in the field are to be understood that: still can modify to the specific embodiment of the present invention or equivalent replacement, and not departing from any amendment of spirit and scope of the invention or equivalent replacement, it all should be encompassed in the middle of right of the present invention.
Claims (6)
1., based on the distributed power source maximum permeability appraisal procedure that Novel Temporal Scenario access is analyzed, it is characterized in that: said method comprising the steps of:
Step 1: network load characteristic and distributed power source power producing characteristics are analyzed;
Step 2: choose power grid time scene;
Step 3: analyze the electrical network allowed capacity under power grid time scene;
Step 4: the maximum permeability comprehensively determining distributed power source;
In described step 1, described network load characteristic comprises year part throttle characteristics and daily load characteristic; Based on network load historical data, analysis electrical network year part throttle characteristics and electrical network daily load characteristic, determine the peak interval of time of electrical network year part throttle characteristics and the peak interval of time of electrical network daily load characteristic, namely complete the analysis to network load characteristic;
Described electrical network year part throttle characteristics peak interval of time and peak interval of time load corresponding to the peak interval of time of electrical network daily load characteristic be defined as:
PL
peak(t)=PL (t), and PL (t) > PL
min+ 80% (PL
max-PL
min) (1)
PL
valley(t)=PL (t), and PL (t) < PL
min+ 20% (PL
max-PL
min) (2)
Wherein, PL
peakt () is electrical network load peak period, PL
valleyt () is electrical network low-valley interval load, PL (t) is the network load of moment t, PL
maxfor electrical network peak load, PL
minfor electrical network minimum load.
2. the distributed power source maximum permeability appraisal procedure analyzed based on Novel Temporal Scenario access according to claim 1, it is characterized in that: in described step 1, based on distributed power source power producing characteristics model and local climate historical data, the year power producing characteristics curve of distributed power source is obtained by Monte Carlo simulation, determine the peak interval of time of distributed power source year power producing characteristics and the peak interval of time of daily output characteristic, namely complete the analysis to distributed power source power producing characteristics.
3. the distributed power source maximum permeability appraisal procedure analyzed based on Novel Temporal Scenario access according to claim 2, is characterized in that: described distributed power source year the peak interval of time distributed power source peak interval of time corresponding with the peak interval of time of daily output characteristic of power producing characteristics exert oneself and be defined as:
PG
peak(t)=PG (t), and PG (t) > PG
min+ 80% (PG
max-PG
min) (3)
PG
valley(t)=PG (t), and PG (t) < PG
min+ 20% (PG
max-PG
min) (4)
Wherein, PG
peakt () is exerted oneself for distributed power source peak period, PG
valleyt () is exerted oneself for distributed power source low-valley interval, PG (t) exerts oneself for the distributed power source of moment t, PG
maxfor distributed power source maximum output, PG
minfor distributed power source minimum load.
4. the distributed power source maximum permeability appraisal procedure analyzed based on Novel Temporal Scenario access according to claim 1, it is characterized in that: in described step 2, comprehensive network load characteristic and distributed power source power producing characteristics analysis result, electrical network is selected to face the electric situation worst moment, namely choose distributed power source and exert oneself the moment maximum with network load ratio as power grid time scene, concrete choosing method is as follows:
Wherein, T is the moment chosen.
5. the distributed power source maximum permeability appraisal procedure analyzed based on Novel Temporal Scenario access according to claim 1, is characterized in that: in described step 3, based on the power grid time scene chosen above, carries out the analysis of electrical network allowed capacity;
Described electrical network allowed capacity meets:
Wherein, P
linefor line power, P
limitfor circuit maximum transmission power, V
nodefor node voltage, V
limit-Highand V
limit-Lowbe respectively the upper limit and the lower limit of line voltage, I
sfor system short-circuit electric current, I
limitfor short circuit current limit value.
6. the distributed power source maximum permeability appraisal procedure analyzed based on Novel Temporal Scenario access according to claim 1, it is characterized in that: in described step 4, based on the electrical network allowed capacity analyzed above under the power grid time scene that obtains, comprehensively determine the maximum receiving capacity of distributed power source, i.e. distributed power source maximum permeability.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310297943.0A CN103346563B (en) | 2013-07-15 | 2013-07-15 | Method for evaluating maximum permeability of distributed generation based on time scene access analysis |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310297943.0A CN103346563B (en) | 2013-07-15 | 2013-07-15 | Method for evaluating maximum permeability of distributed generation based on time scene access analysis |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN103346563A CN103346563A (en) | 2013-10-09 |
| CN103346563B true CN103346563B (en) | 2015-04-29 |
Family
ID=49281346
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201310297943.0A Active CN103346563B (en) | 2013-07-15 | 2013-07-15 | Method for evaluating maximum permeability of distributed generation based on time scene access analysis |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103346563B (en) |
Families Citing this family (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105048483B (en) * | 2015-05-26 | 2018-04-17 | 广州供电局有限公司 | The energy accumulation capacity configuration and system of the power distribution network containing photovoltaic |
| CN104933317B (en) * | 2015-07-03 | 2017-06-27 | 中国电力科学研究院 | A kind of blower fan allowed capacity inspection optimization method for considering wind speed and negative rules |
| CN105305433B (en) * | 2015-11-10 | 2019-12-27 | 中国能源建设集团广东省电力设计研究院有限公司 | Maximum power permeability calculation method for distributed power supply connected to power distribution network |
| CN105811452B (en) * | 2016-03-11 | 2018-01-26 | 华北电力科学研究院有限责任公司 | Power distribution network distributed photovoltaic limit permeability analysis method and device |
| CN107230989B (en) * | 2016-03-24 | 2020-07-31 | 中国电力科学研究院 | Method for identifying voltage fluctuation risk of power distribution network containing electric automobile |
| CN106786791B (en) * | 2016-11-30 | 2019-04-23 | 云南电网有限责任公司 | A kind of generation method of wind power output scene |
| CN107528320B (en) * | 2017-08-14 | 2020-02-11 | 天津津电供电设计所有限公司 | Power distribution network distributed power supply permeability evaluation method based on continuous power flow |
| CN107808231B (en) * | 2017-09-28 | 2021-05-11 | 国家电网公司 | Technical strategy evaluation method for improving distributed photovoltaic receiving capacity of power distribution network |
| CN108493996A (en) * | 2018-04-03 | 2018-09-04 | 国电南瑞科技股份有限公司 | A kind of randomness power supply maximum penetration level model foundation and method for solving |
| CN109103942B (en) * | 2018-10-31 | 2020-10-23 | 广东电网有限责任公司 | Method and device for determining access mode of distributed power supply |
| CN111198332A (en) * | 2018-11-16 | 2020-05-26 | 中国电力科学研究院有限公司 | Method for calculating medium-voltage feeder admission capacity of distributed power supply access in random scene |
| CN111641204B (en) * | 2019-03-01 | 2023-09-22 | 中国电力科学研究院有限公司 | Calculation method and device for distributed energy admission capacity |
| CN111600298B (en) * | 2020-04-29 | 2022-03-11 | 国网宁夏电力有限公司电力科学研究院 | Day-ahead economic dispatching method suitable for multi-region clean energy cooperation |
| CN111626509B (en) * | 2020-05-27 | 2022-09-09 | 国网河南省电力公司经济技术研究院 | Method and system for evaluating effective supply capacity of regional new energy |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| RU2414034C1 (en) * | 2010-04-07 | 2011-03-10 | Государственное образовательное учреждение высшего профессионального образования "Московский энергетический институт (технический университет)" (ГОУВПО "МЭИ(ТУ)") | Secondary power supply with power take-off from phase conductor current |
| CN102003337A (en) * | 2010-11-23 | 2011-04-06 | 西北电网有限公司 | Active power control method of master station-end wind power field subject to wind power grid integration |
| CN102611127A (en) * | 2012-02-17 | 2012-07-25 | 中国电力科学研究院 | Control method for unifying self-balancing and self-smoothing of micro-grid |
| CN103138289A (en) * | 2012-11-08 | 2013-06-05 | 中国电力科学研究院 | Real-time digital simulation modeling method of high permeability wind power plant |
-
2013
- 2013-07-15 CN CN201310297943.0A patent/CN103346563B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| RU2414034C1 (en) * | 2010-04-07 | 2011-03-10 | Государственное образовательное учреждение высшего профессионального образования "Московский энергетический институт (технический университет)" (ГОУВПО "МЭИ(ТУ)") | Secondary power supply with power take-off from phase conductor current |
| CN102003337A (en) * | 2010-11-23 | 2011-04-06 | 西北电网有限公司 | Active power control method of master station-end wind power field subject to wind power grid integration |
| CN102611127A (en) * | 2012-02-17 | 2012-07-25 | 中国电力科学研究院 | Control method for unifying self-balancing and self-smoothing of micro-grid |
| CN103138289A (en) * | 2012-11-08 | 2013-06-05 | 中国电力科学研究院 | Real-time digital simulation modeling method of high permeability wind power plant |
Non-Patent Citations (1)
| Title |
|---|
| 分布式电源对配电网电压的影响;李鹏等;《陕西电力》;20121220(第12期);第30-35页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN103346563A (en) | 2013-10-09 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103346563B (en) | Method for evaluating maximum permeability of distributed generation based on time scene access analysis | |
| Hozouri et al. | On the use of pumped storage for wind energy maximization in transmission-constrained power systems | |
| Guan et al. | Energy-efficient buildings facilitated by microgrid | |
| Ma et al. | Multi‐objective optimal configuration method for a standalone wind–solar–battery hybrid power system | |
| Sadeghian et al. | Optimized solar photovoltaic generation in a real local distribution network | |
| CN102013679B (en) | Method for analyzing influence on power grid after large-scale wind power central integration | |
| CN104851053A (en) | Wind-photovoltaic-energy-storage-contained method for power supply reliability evaluation method of distribution network | |
| CN107093007A (en) | It is a kind of to consider the distribution network reliability evaluation method that light storage continues load capacity | |
| CN108183512A (en) | Reliability assessment method for power system accessed with new energy | |
| CN104077494A (en) | Simulation evaluation method for access of distributed power source to power distribution network | |
| CN102945223A (en) | Method for constructing joint probability distribution function of output of a plurality of wind power plants | |
| CN104077664B (en) | Confidence capacity assessment method of energy storage and generation system of wind power | |
| Tahri et al. | Monitoring and evaluation of photovoltaic system | |
| CN105790261A (en) | Random harmonic flow calculation method | |
| US20220067258A1 (en) | Robust optimal design method for photovoltaic cells | |
| CN102594216B (en) | Probability assessment method of effects of distributed photovoltaic power supply access | |
| Acuzar et al. | Effects of weather and climate on renewable energy resources in a distributed generation system simulated in Visayas, Philippines | |
| CN103440597A (en) | Method for analyzing influence of renewable energy source grid connection on power grid economic operation | |
| CN102426676B (en) | A kind of feature extracting method of intelligent power consumption strategy | |
| CN104636993B (en) | Power distribution system reliability algorithm | |
| Degefa et al. | Analysis of future loading scenarios in a norwegian LV network | |
| CN104283208B (en) | The composition decomposition computational methods of the probability available transmission capacity of large-scale power grid | |
| Epeni-Tombo et al. | Influence of ambient temperature in the city of Portoviejo, Ecuador on the energy performance of photovoltaic modules | |
| CN110619436A (en) | Active power distribution network planning method | |
| Baht et al. | Impact of Weather Forecasts and Green Building on Micro Grid Energy Management System |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| ASS | Succession or assignment of patent right |
Owner name: CHINA ELECTRIC POWER RESEARCH INSTITUTE STATE GRID Free format text: FORMER OWNER: CHINA ELECTRIC POWER RESEARCH INSTITUTE Effective date: 20140512 |
|
| C41 | Transfer of patent application or patent right or utility model | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20140512 Address after: 100031 Xicheng District West Chang'an Avenue, No. 86, Beijing Applicant after: State Grid Corporation of China Applicant after: China Electric Power Research Institute Applicant after: STATE GRID JIANGXI ELECTRIC POWER COMPANY Address before: 100031 Xicheng District West Chang'an Avenue, No. 86, Beijing Applicant before: State Grid Corporation of China Applicant before: China Electric Power Research Institute |
|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant |