CN113364050A - New energy reliability evaluation method in energy internet power distribution system - Google Patents
New energy reliability evaluation method in energy internet power distribution system Download PDFInfo
- Publication number
- CN113364050A CN113364050A CN202110688725.4A CN202110688725A CN113364050A CN 113364050 A CN113364050 A CN 113364050A CN 202110688725 A CN202110688725 A CN 202110688725A CN 113364050 A CN113364050 A CN 113364050A
- Authority
- CN
- China
- Prior art keywords
- energy
- data
- new energy
- reliability
- node
- 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
- 238000009826 distribution Methods 0.000 title claims abstract description 26
- 238000011156 evaluation Methods 0.000 title claims description 15
- 230000005540 biological transmission Effects 0.000 claims abstract description 41
- 238000000034 method Methods 0.000 claims abstract description 27
- 230000002159 abnormal effect Effects 0.000 claims abstract description 10
- 238000006243 chemical reaction Methods 0.000 claims description 17
- 238000012545 processing Methods 0.000 claims description 10
- 238000004364 calculation method Methods 0.000 claims description 9
- 238000011157 data evaluation Methods 0.000 claims description 8
- 238000001514 detection method Methods 0.000 claims description 8
- 238000005265 energy consumption Methods 0.000 claims description 7
- 238000004458 analytical method Methods 0.000 claims description 6
- 238000013481 data capture Methods 0.000 claims description 3
- 230000003993 interaction Effects 0.000 claims description 3
- 238000012544 monitoring process Methods 0.000 claims description 3
- 238000011897 real-time detection Methods 0.000 claims description 3
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 3
- 101000878595 Arabidopsis thaliana Squalene synthase 1 Proteins 0.000 claims description 2
- 238000002372 labelling Methods 0.000 claims description 2
- 238000005516 engineering process Methods 0.000 description 4
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000007726 management method Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000003860 storage Methods 0.000 description 2
- 230000002457 bidirectional effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 239000006185 dispersion Substances 0.000 description 1
- 238000004146 energy storage Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
- 230000004083 survival effect Effects 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
- H02J3/466—Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/067—Enterprise or organisation modelling
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- 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
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/80—Management or planning
- Y02P90/82—Energy audits or management systems therefor
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Marketing (AREA)
- General Physics & Mathematics (AREA)
- Educational Administration (AREA)
- Development Economics (AREA)
- Physics & Mathematics (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Game Theory and Decision Science (AREA)
- Health & Medical Sciences (AREA)
- Power Engineering (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a method for evaluating reliability of new energy in an energy internet power distribution system, which belongs to the technical field of power distribution network planning and comprises the following specific steps: (1) intelligently detecting new energy connected with the energy Internet and starting to construct a reliability detector; (2) the reliability detector starts to build an internet model; (3) detecting the transmission condition of the new energy in real time and feeding back data; (4) detecting and judging each transmission node; (5) the reliability detector receives all the data and evaluates all the new energy; (6) the staff calls and checks each data; the invention can enable the staff to observe the operation condition of the energy Internet power distribution system more visually, is convenient for the staff to record related data, improves the working efficiency of the staff, can remind the staff of abnormal transmission of nodes in time, avoids accidents, improves the problem handling rate of the staff and protects the personal safety of the staff.
Description
Technical Field
The invention relates to the technical field of power distribution network planning, in particular to a method for evaluating reliability of new energy in an energy internet power distribution system.
Background
The energy is the basis of the survival and development of the modern society, in order to deal with the energy crisis, new energy technology, particularly renewable energy such as solar energy, wind energy, biological energy and the like is actively researched by various countries, the renewable energy has the characteristics of inexhaustibility, cleanness, environmental protection and the like and is highly valued by various countries in the world, the renewable energy has the characteristics of geographical dispersion, discontinuous production, randomness, volatility, uncontrollable property and the like, the centralized and unified management mode of the traditional power network is difficult to adapt to the requirement of large-scale utilization of the renewable energy, the effective utilization mode of the renewable energy is distributed 'on-site collection, on-site storage and on-site use', the energy internet can be understood as comprehensively utilizing the advanced power electronic technology, the information technology and the intelligent management technology, and a large number of novel power network nodes consisting of distributed energy acquisition devices, distributed energy storage devices and various types of loads are interconnected, in 2014, China proposes a long-term strategy of energy production and consumption revolution by realizing energy peer-to-peer exchange and sharing network of energy bidirectional flow, and tries to dominate the layout of the global energy Internet by taking a power system as a core; therefore, it becomes important to invent a method for evaluating reliability of new energy in an energy internet power distribution system.
Through retrieval, the Chinese patent number CN110555620A discloses a new energy reliability evaluation method in an energy internet power distribution system, and although the method can effectively and accurately evaluate the power supply reliability of the power distribution system, the method cannot feed back information of each node of the energy internet to workers, is not beneficial to data recording of the workers and reduces the working efficiency of the workers; in addition, when the node has abnormal transmission, the existing method for evaluating the reliability of the new energy in the energy Internet power distribution system cannot feed the abnormal information back to the staff in time, so that the problem processing efficiency of the staff is reduced; therefore, a method for evaluating the reliability of new energy in an energy internet power distribution system is provided.
Disclosure of Invention
The invention aims to solve the defects in the prior art, and provides a method for evaluating the reliability of new energy in an energy internet power distribution system.
In order to achieve the purpose, the invention adopts the following technical scheme:
a new energy reliability evaluation method in an energy Internet power distribution system comprises the following specific steps:
(1) the new energy that intellectual detection system energy internet connects begins to construct the reliability detector: detecting and analyzing the new energy forming the energy network, capturing data through the Internet according to an analysis result, and constructing a reliability detector;
(2) the reliability detector starts to build an internet model: the reliability detector receives the information of each node, starts to construct the energy Internet model and simultaneously carries out data annotation on the information of each node;
(3) detecting the transmission condition of the new energy in real time and carrying out data feedback: the new energy generates electric energy through energy conversion processing, starts to be transmitted on the energy Internet, detects the conversion transmission of the new energy in real time, and feeds back data of the transmission condition of the new energy through an Internet model;
(4) and (3) detecting and judging each transmission node: collecting data of each transmission node, and detecting and judging the transmission nodes;
(5) the reliability detector receives all data and carries out data evaluation on all new energy sources: the reliability detector receives the related data of each new energy and carries out data evaluation on the data;
(6) the staff calls each data and looks over: the method comprises the steps that a worker retrieves and calls various data through an external input device and feeds back the data through a display device, wherein the external input device is one of a keyboard, an electronic pen or a touch screen, and the display device is one of a CRT display, an LCD display, an LED display or a plasma display.
Further, the detection analysis in the step (1) comprises the following specific steps:
the method comprises the following steps: classifying the new energy transmitted by the energy Internet according to wind energy, solar energy, water energy and ocean energy, and respectively marking the new energy as A, B, C, D;
step two: and after classification is finished, data interaction with a network sharing platform is started, data capture is started to be carried out on related new energy information, and a reliability detector is constructed.
Further, the data labeling in the step (2) specifically comprises the following steps:
the first step is as follows: counting the number of nodes constructed by the energy Internet, and starting to collect information of each node, wherein the information of the nodes comprises node positions, node operation conditions and weather conditions of the positions of the nodes;
the second step is that: matching each node with A, B, C, D data respectively, and starting to construct the energy Internet model;
the third step: and marking the related information of the new energy used by each node at the position of the corresponding node of the model.
Further, the real-time detection in the step (3) comprises the following specific steps:
s1: recording an original energy value a, generating electric energy by the new energy through energy conversion, recording a converted energy value b, and simultaneously recording energy consumption c, wherein c = a-b;
s2: the electric energy starts to be transmitted, the energy value d at the end of the transmission is recorded, the energy consumption e in the transmission process is recorded, and e = b-d.
Further, the detection and judgment in the step (4) specifically comprises the following steps:
SS 1: monitoring the transmission condition of each node, and judging the transmission condition;
SS 2: when the node transmission is abnormal, the node is marked on the Internet model, warning information is sent to staff of the node, abnormal times and new energy information used by the node are recorded, and evaluation data are generated through data conversion processing.
Further, the specific steps of the data evaluation in the step (5) are as follows:
p1: receiving evaluation data, a, b, c, d and e, and starting to capture a corresponding new energy reliability calculation method from the network;
p2: and starting to calculate the reliability parameters of the new energy used by each node according to the captured new energy reliability calculation method, wherein the calculation formula is as follows:
Ke=(Ty/Ts)*100% （1）
in the formula, Ke is the power supply reliability, Ty is the sum of actual power supply time in a statistical period, and Ts is the total power supply time in the statistical period;
p3: and comprehensively evaluating the reliability of the new energy through the received various data and the reliability parameter Ke, and generating result data through data conversion processing of the evaluation result.
Further, the specific steps of the retrieval and calling in the step (6) are as follows:
PP 1: the method comprises the following steps that a worker inputs a primary time period X needing to be searched through external input equipment;
PP 2: the staff inputs the secondary time period X again after inputting the primary time period X;
PP 3: after the staff inputs the primary time period X and the secondary time period X, the data name Y to be searched is input again, and the cloud database calls out the content required by the staff and displays the content through the display device.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the method for evaluating the reliability of the new energy in the energy Internet power distribution system, a virtual energy Internet model is built, the relevant information of each node is collected, and the information of each node is marked at the corresponding position of the model, wherein the node information comprises the node position, the node operation condition and the weather condition of the position of the node, and meanwhile, the energy values before and after energy conversion and the energy consumption generated by the energy conversion and the energy transmission are marked at the corresponding node position, so that a worker can observe the operation condition of the energy Internet power distribution system more visually, the worker can record relevant data conveniently, and the working efficiency of the worker is improved;
2. according to the method for evaluating the reliability of the new energy in the energy internet power distribution system, the transmission state of each node in the energy internet is monitored in real time, simulation operation is carried out through an energy internet model, when the node is abnormally transmitted, the node is specially marked on the model, warning information is sent to workers of the node, the workers can be timely reminded of the abnormal transmission of the node, accidents are avoided, the problem handling rate of the workers is improved, and the personal safety of the workers is protected.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention.
Fig. 1 is a flow chart of a method for evaluating reliability of new energy in an energy internet power distribution system according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
In the description of the present invention, it is to be understood that the terms "upper", "lower", "front", "rear", "left", "right", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention.
Referring to fig. 1, a method for evaluating reliability of new energy in an energy internet power distribution system includes the following steps:
(1) the new energy that intellectual detection system energy internet connects begins to construct the reliability detector: and detecting and analyzing the new energy forming the energy network, capturing through the Internet according to an analysis result to collect data, and constructing a reliability detector.
In this embodiment, a detection and analysis method is disclosed, which has the following working principle: and detecting new energy information used by each node, classifying the new energy transmitted by the energy Internet according to wind energy, solar energy, water energy and ocean energy, respectively marking the new energy as A, B, C, D, finishing classification, starting to perform data interaction with a network sharing platform, starting to perform data capture on related new energy information, and starting to construct a reliability detector.
(2) The reliability detector starts to build an internet model: and the reliability detector receives the information of each node, starts to construct the energy Internet model and simultaneously carries out data annotation on the information of each node.
Specifically, the working principle of the data annotation is as follows: counting the number of the nodes constructed by the energy Internet, starting to collect information of each node, wherein the information of each node comprises a node position, a node operation condition and a weather condition of the position of each node, respectively matching each node with A, B, C, D data, starting to construct an energy Internet model, and marking related information of new energy used by each node at the position of the corresponding node of the model.
(3) Detecting the transmission condition of the new energy in real time and carrying out data feedback: the new energy is processed through energy conversion to generate electric energy, transmission is started on the energy Internet, real-time detection is carried out on the new energy conversion transmission, and data feedback is carried out on the transmission condition of the new energy through an Internet model.
The embodiment discloses a real-time monitoring method, which specifically comprises the following working principles: the reliability detector starts to record an original energy value a, the new energy generates electric energy through energy conversion processing, a converted energy value b is recorded, energy consumption c is recorded, c = a-b, electric energy starts to be transmitted, an energy value d at the end of transmission is recorded, energy consumption e in the transmission process is recorded, and e = b-d.
(4) And (3) detecting and judging each transmission node: and collecting data of each transmission node, and detecting and judging the transmission nodes.
In this embodiment, the transmission condition of each node is transmitted to the control center in real time, and the reliability detector receives and judges the transmission condition of each node, and when the transmission of the node is abnormal, the node is marked on the internet model, and sends warning information to the staff of the node, and records the abnormal times and the new energy information used by the node, and generates evaluation data through data conversion processing.
(5) The reliability detector receives all data and carries out data evaluation on all new energy sources: and the reliability detector receives the related data of each new energy and evaluates the data.
The embodiment discloses a data evaluation method, which has the following working principle: the reliability detector receives the evaluation data, a, b, c, d and e, and starts to capture a corresponding new energy reliability calculation method from the network, and simultaneously starts to calculate the reliability parameters of the new energy used by each node according to the captured new energy reliability calculation method, comprehensively evaluates the reliability of the new energy through the received data and the reliability parameters Ke, and generates result data according to the evaluation results through data conversion processing;
in this embodiment, the reliability parameter calculation formula is Ke = (Ty/Ts) × 100%, where Ke is the power supply reliability, Ty is the sum of the actual power supply time in the statistical period, and Ts is the total power supply time in the statistical period.
(6) The staff calls each data and looks over: the method comprises the steps that a worker retrieves and calls various data through an external input device and feeds back the data through a display device, wherein the external input device is one of a keyboard, an electronic pen or a touch screen, and the display device is one of a CRT display, an LCD display, an LED display or a plasma display.
The technical scheme shows that: the reliability evaluation of the new energy is completed, the reliability detector uploads various data to the cloud-end database for storage, a worker inputs a primary time period X to be searched through an external input device, the worker inputs a secondary time period X after inputting the primary time period X, the worker inputs a data name Y to be searched after inputting the primary time period X and the secondary time period X, and the cloud-end database calls out content required by the worker and displays the content through a display device.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (7)
1. A new energy reliability evaluation method in an energy Internet power distribution system is characterized by comprising the following specific steps:
(1) the new energy that intellectual detection system energy internet connects begins to construct the reliability detector: detecting and analyzing the new energy forming the energy network, capturing data through the Internet according to an analysis result, and constructing a reliability detector;
(2) the reliability detector starts to build an internet model: the reliability detector receives the information of each node, starts to construct the energy Internet model and simultaneously carries out data annotation on the information of each node;
(3) detecting the transmission condition of the new energy in real time and carrying out data feedback: the new energy generates electric energy through energy conversion processing, starts to be transmitted on the energy Internet, detects the conversion transmission of the new energy in real time, and feeds back data of the transmission condition of the new energy through an Internet model;
(4) and (3) detecting and judging each transmission node: collecting data of each transmission node, and detecting and judging the transmission nodes;
(5) the reliability detector receives all data and carries out data evaluation on all new energy sources: the reliability detector receives the related data of each new energy and carries out data evaluation on the data;
(6) the staff calls each data and looks over: the method comprises the steps that a worker retrieves and calls various data through an external input device and feeds back the data through a display device, wherein the external input device is one of a keyboard, an electronic pen or a touch screen, and the display device is one of a CRT display, an LCD display, an LED display or a plasma display.
2. The method for evaluating the reliability of the new energy in the energy internet power distribution system according to claim 1, wherein the detection and analysis in the step (1) specifically comprises the following steps:
the method comprises the following steps: classifying the new energy transmitted by the energy Internet according to wind energy, solar energy, water energy and ocean energy, and respectively marking the new energy as A, B, C, D;
step two: and after classification is finished, data interaction with a network sharing platform is started, data capture is started to be carried out on related new energy information, and a reliability detector is constructed.
3. The method for evaluating the reliability of the new energy in the energy internet power distribution system according to claim 2, wherein the data labeling in the step (2) comprises the following specific steps:
the first step is as follows: counting the number of nodes constructed by the energy Internet, and starting to collect information of each node, wherein the information of the nodes comprises node positions, node operation conditions and weather conditions of the positions of the nodes;
the second step is that: matching each node with A, B, C, D data respectively, and starting to construct the energy Internet model;
the third step: and marking the related information of the new energy used by each node at the position of the corresponding node of the model.
4. The method for evaluating the reliability of the new energy in the energy internet power distribution system according to claim 1, wherein the real-time detection in the step (3) comprises the following specific steps:
s1: recording an original energy value a, generating electric energy by the new energy through energy conversion, recording a converted energy value b, and simultaneously recording energy consumption c, wherein c = a-b;
s2: the electric energy starts to be transmitted, the energy value d at the end of the transmission is recorded, the energy consumption e in the transmission process is recorded, and e = b-d.
5. The method for evaluating the reliability of the new energy in the energy internet power distribution system according to claim 4, wherein the detection and judgment in the step (4) specifically comprises the following steps:
SS 1: monitoring the transmission condition of each node, and judging the transmission condition;
SS 2: when the node transmission is abnormal, the node is marked on the Internet model, warning information is sent to staff of the node, abnormal times and new energy information used by the node are recorded, and evaluation data are generated through data conversion processing.
6. The method for evaluating the reliability of the new energy in the energy Internet power distribution system according to claim 5, wherein the data evaluation in the step (5) specifically comprises the following steps:
p1: receiving evaluation data, a, b, c, d and e, and starting to capture a corresponding new energy reliability calculation method from the network;
p2: and starting to calculate the reliability parameters of the new energy used by each node according to the captured new energy reliability calculation method, wherein the calculation formula is as follows:
Ke=(Ty/Ts)*100% （1）
in the formula, Ke is the power supply reliability, Ty is the sum of actual power supply time in a statistical period, and Ts is the total power supply time in the statistical period;
p3: and comprehensively evaluating the reliability of the new energy through the received various data and the reliability parameter Ke, and generating result data through data conversion processing of the evaluation result.
7. The method for evaluating the reliability of the new energy in the energy internet power distribution system according to claim 1, wherein the specific steps called in the step (6) are as follows:
PP 1: the method comprises the following steps that a worker inputs a primary time period X needing to be searched through external input equipment;
PP 2: the staff inputs the secondary time period X again after inputting the primary time period X;
PP 3: after the staff inputs the primary time period X and the secondary time period X, the data name Y to be searched is input again, and the cloud database calls out the content required by the staff and displays the content through the display device.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110688725.4A CN113364050A (en) | 2021-06-22 | 2021-06-22 | New energy reliability evaluation method in energy internet power distribution system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110688725.4A CN113364050A (en) | 2021-06-22 | 2021-06-22 | New energy reliability evaluation method in energy internet power distribution system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113364050A true CN113364050A (en) | 2021-09-07 |
Family
ID=77535575
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110688725.4A Pending CN113364050A (en) | 2021-06-22 | 2021-06-22 | New energy reliability evaluation method in energy internet power distribution system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113364050A (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104182815A (en) * | 2012-10-22 | 2014-12-03 | 国网山东省电力公司青岛供电公司 | Power supply reliability acquisition method and system |
| WO2017046840A1 (en) * | 2015-09-14 | 2017-03-23 | 株式会社日立製作所 | Voltage reliability evaluation/management system and voltage reliability evaluation/management method |
| CN107169617A (en) * | 2016-03-07 | 2017-09-15 | 中国电力科学研究院 | A kind of controller switching equipment state evaluation system |
| CN110555620A (en) * | 2019-09-09 | 2019-12-10 | 贵州电网有限责任公司 | new energy reliability evaluation method in energy internet power distribution system |
| CN111695793A (en) * | 2020-05-29 | 2020-09-22 | 浙江大学 | Method and system for evaluating energy utilization flexibility of comprehensive energy system |
| CN112070395A (en) * | 2020-09-07 | 2020-12-11 | 四川华泰电气股份有限公司 | Energy internet reliability evaluation system, model establishing method and evaluation method |
-
2021
- 2021-06-22 CN CN202110688725.4A patent/CN113364050A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104182815A (en) * | 2012-10-22 | 2014-12-03 | 国网山东省电力公司青岛供电公司 | Power supply reliability acquisition method and system |
| WO2017046840A1 (en) * | 2015-09-14 | 2017-03-23 | 株式会社日立製作所 | Voltage reliability evaluation/management system and voltage reliability evaluation/management method |
| CN107169617A (en) * | 2016-03-07 | 2017-09-15 | 中国电力科学研究院 | A kind of controller switching equipment state evaluation system |
| CN110555620A (en) * | 2019-09-09 | 2019-12-10 | 贵州电网有限责任公司 | new energy reliability evaluation method in energy internet power distribution system |
| CN111695793A (en) * | 2020-05-29 | 2020-09-22 | 浙江大学 | Method and system for evaluating energy utilization flexibility of comprehensive energy system |
| CN112070395A (en) * | 2020-09-07 | 2020-12-11 | 四川华泰电气股份有限公司 | Energy internet reliability evaluation system, model establishing method and evaluation method |
Non-Patent Citations (2)
| Title |
|---|
| PUDE LI 等: "A Novel Reliability Assessment Method of Microgrid Based on Time Correlation Model", 《2019 IEEE 3RD CONFERENCE ON ENERGY INTERNET AND ENERGY SYSTEM INTEGRATION (EI2)》 * |
| 丁茂生 等: "信息物理视角下能源互联网可靠性评估方法综述", 《电网技术》 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112769237B (en) | Digital twin system of transformer substation | |
| CN111367241A (en) | Enterprise comprehensive energy management and control system and method | |
| CN103700031A (en) | Electric power warning information publishing method in regulation and control integration mode | |
| CN103473639A (en) | Method and system for intelligent supervision of coal mine safety production | |
| CN106934484B (en) | PDA-based field operation and maintenance daily work planning method | |
| CN103439114A (en) | System and device for testing thermal performance of turboset | |
| CN112907929A (en) | Environment-friendly monitoring system and method based on electricity utilization information | |
| CN206115222U (en) | Be applied to energy -conserving management system's of building environment self -adaptation energy -saving monitoring center | |
| CN102984013B (en) | Alarm analysis method for communication transmission network | |
| CN112580957A (en) | Smart energy management and control system based on cloud platform | |
| CN113364050A (en) | New energy reliability evaluation method in energy internet power distribution system | |
| Zhang et al. | Distributed Architecture of Power Grid Asset Management and Future Research Directions | |
| CN207472322U (en) | A kind of biogas engineering big data platform system | |
| CN114665604A (en) | Distributed power supply grid-connected monitoring device and method and power grid operation monitoring system | |
| CN104238419B (en) | Hand-held energy-saving monitoring intelligent work system and method for work | |
| CN208848258U (en) | A kind of smart lock for electric power data analysis | |
| Wu et al. | Research and application of intelligent maintenance of relay protection equipment based on internet of things technology | |
| Zhu et al. | Research on Full Link Intelligent Control Platform for Substation Maintenance through Edge-Aware | |
| CN117892212B (en) | Distributed heterogeneous energy station situation awareness monitoring method | |
| CN116384069B (en) | Man-machine system construction method and device for enterprise energy Internet of things | |
| LUO et al. | Research on application of intelligent operation and maintenance in conventional substations | |
| Jinglong et al. | Research on Fault Prediction of Distribution Network Based on Large Data | |
| CN117477765B (en) | Big data-based power data transmission system and method | |
| CN107843295A (en) | A kind of biogas engineering big data plateform system and method | |
| Xiaowei et al. | Technique Support System Design of Electric Dispatching Automation Based on Big Data Technology |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210907 |
|
| RJ01 | Rejection of invention patent application after publication |