CN107301501B - Distributed power generation quality evaluation method and device based on block chain technology - Google Patents
Distributed power generation quality evaluation method and device based on block chain technology Download PDFInfo
- Publication number
- CN107301501B CN107301501B CN201710422753.5A CN201710422753A CN107301501B CN 107301501 B CN107301501 B CN 107301501B CN 201710422753 A CN201710422753 A CN 201710422753A CN 107301501 B CN107301501 B CN 107301501B
- Authority
- CN
- China
- Prior art keywords
- nodes
- node
- partial
- power generation
- distributed power
- 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
Images
Classifications
-
- 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
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/22—Indexing; Data structures therefor; Storage structures
-
- 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—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
Abstract
The application discloses a distributed power generation quality evaluation method and device based on a block chain technology. The method comprises the steps of classifying each node of the distributed power generation system, and dividing sub-nodes, partial nodes and complete nodes. And further, sending the online transaction records and the evaluation functions of the sub-nodes to the affiliated partial nodes and all the complete nodes to be stored in a block chain mode. Compared with the prior art, the distributed power generation evaluation function of each node and the transaction information data thereof are sent to partial nodes and all complete nodes of the area where the distributed power generation evaluation function is located, random hashing is carried out on the partial nodes and the complete nodes, time stamps are added to the distributed power generation related data information, block packing is carried out, and block chains of the complete nodes and block chains of the partial nodes are generated respectively. Therefore, the risk of data loss can be reduced, the data can be prevented from being tampered, and the cost of a database framework is saved properly.
Description
Technical Field
The application relates to the field of distributed power generation, in particular to a distributed power generation quality evaluation method and device based on a block chain technology.
Background
In recent years, distributed power generation has increasingly large internet access, distributed power generation has the characteristics of randomness and dispersity, the quality of power generation internet access is low, certain impact is caused to a power grid, and if all real-time conditions of distributed power generation internet access, such as electric power transactions, are recorded in a traditional central server, great disadvantages are caused, such as overlarge communication pressure of the central server and high storage and maintenance cost. Once a problem occurs with the central server, a large loss is incurred. In order to reduce the storage pressure of the central server, a large amount of data about the power quality of the distributed power generation is discarded, and the absence of the data is a great obstacle for reasonably evaluating the power quality of the distributed power generation.
Disclosure of Invention
In view of this, the present application provides a distributed power generation quality evaluation method and apparatus based on a block chain technology, so as to reduce the risk of data loss, thereby implementing the distributed power generation quality evaluation.
In order to achieve the above object, the following solutions are proposed:
a distributed power generation quality evaluation method based on a block chain technology comprises the following steps:
classifying nodes of a distributed power generation system, the classification of the nodes comprising: the system comprises child nodes, partial nodes and full nodes, wherein a child partition where the partial nodes are located comprises a plurality of child nodes, and a partition where the full nodes are located comprises a plurality of partial nodes;
constructing corresponding distributed power generation internet quality evaluation functions according to different distributed power generation devices;
sending the evaluation function and the internet transaction records of all the child nodes to partial nodes and all complete nodes of the partition to which the child nodes belong;
and generating a partial node block chain at the partial nodes according to the internet transaction records and the evaluation function, and generating a complete node block chain at the complete nodes.
Preferably, the classifying the nodes of the distributed power generation system includes:
dividing all nodes of the distributed power generation system into a plurality of partitions according to regions, and selecting one node from the partitions as a complete node for each partition;
dividing the part of the partition except the complete node into a plurality of sub-partitions, and selecting one node from the sub-partitions as a partial node;
and taking the rest other nodes as the child nodes.
Preferably, the generating a partial node block chain at the partial node and a full node block chain at the full node according to the internet transaction record and the evaluation function includes:
and writing the online transaction record and the evaluation function into a block through a hash algorithm to generate a plurality of blocks according to a preset block generation speed so as to generate the partial node block chain and the complete node block chain.
Preferably, the evaluation function is:
wherein λ isa,γ,κ,χp,χqThe weight is represented by a weight that is,
representing the rate of fluctuation, Δ f, of three-phase voltageiRepresenting the frequency ripple rate, Δ P, of three phasesiRepresenting the active power fluctuation ratio, Δ QiWhich represents the rate of fluctuation of the reactive power,
representing the total distortion rate of the harmonics.
A distributed power generation quality evaluation device based on a block chain technology comprises:
the node dividing unit is used for classifying nodes of the distributed power generation system, and the classification of the nodes comprises the following steps: the system comprises child nodes, partial nodes and full nodes, wherein a child partition where the partial nodes are located comprises a plurality of child nodes, and a partition where the full nodes are located comprises a plurality of partial nodes;
the evaluation function building module is used for building corresponding distributed power generation internet quality evaluation functions according to different distributed power generation devices;
the data sending unit is used for sending the evaluation function and the internet transaction records of all the sub-nodes to the partial nodes and all the complete nodes to which the sub-nodes belong;
and the block chain generating unit is used for generating a partial node block chain at the partial node according to the internet transaction record and the evaluation function and generating a complete node block chain at the complete node.
Preferably, the node dividing unit includes:
the complete node selection module is used for dividing all nodes of the distributed power generation system into a plurality of partitions according to areas, and for each partition, selecting one node from the partitions as a complete node;
a partial node selection module, configured to divide a part of the partition excluding the complete node into a plurality of sub-partitions, and select a node from the sub-partitions as a partial node;
and the child node selection module is used for taking the rest other nodes as the child nodes.
Preferably, the block chain generating unit is specifically configured to write the internet transaction record and the evaluation function into a block through a hash algorithm to generate a plurality of blocks according to a preset block generating speed, so as to generate the partial node block chain and the complete node block chain.
Preferably, the evaluation function is:
wherein λ isa,γ,κ,χp,χqThe weight is represented by a weight that is,
representing the rate of fluctuation, Δ f, of three-phase voltageiRepresenting the frequency ripple rate, Δ P, of three phasesiRepresenting the active power fluctuation ratio, Δ QiWhich represents the rate of fluctuation of the reactive power,
representing the total distortion rate of the harmonics.
Through the technical scheme, the application discloses a distributed power generation quality evaluation method and device based on a block chain technology. The method comprises the steps of classifying each node of the distributed power generation system, and dividing sub-nodes, partial nodes and complete nodes. And further, sending the online transaction records and the evaluation functions of the sub-nodes to the affiliated partial nodes and all the complete nodes to be stored in a block chain mode. Compared with the prior art, the distributed power generation evaluation function of each node and the transaction information data thereof are sent to partial nodes and all complete nodes of the area where the distributed power generation evaluation function is located, random hashing is carried out on the partial nodes and the complete nodes, time stamps are added to the distributed power generation related data information, block packing is carried out, and block chains of the complete nodes and block chains of the partial nodes are generated respectively. Therefore, the risk of data loss can be reduced, the data can be prevented from being tampered, and the cost of a database framework is saved properly.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a schematic flow chart of a distributed power generation quality evaluation method based on a block chain technology according to an embodiment of the present invention;
FIG. 2 illustrates a distributed power generation system node partitioning diagram;
FIG. 3 is a block diagram;
fig. 4 shows a schematic structural diagram of a distributed power generation quality evaluation device based on a blockchain technique according to another embodiment of 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. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a flow chart of a distributed power generation quality evaluation method based on a blockchain technique according to an embodiment of the present invention is shown.
As can be seen from fig. 1, the method includes:
s101: the nodes of the distributed power generation system are classified.
Referring to fig. 2, a schematic diagram of node partitioning of a distributed power generation system is shown.
The method comprises the steps of completely dividing all nodes of the distributed power generation system into a plurality of partitions according to regions, selecting a complete node from each partition, removing the complete node from each partition, subdividing the complete node into a plurality of sub-partitions, and finally selecting a partial node from the sub-partitions. As shown in fig. 2, the dotted square is two partitions, and four dotted circles included in each partition are sub-partitions.
S102: and constructing a corresponding distributed power generation network quality evaluation function according to different distributed power generation devices.
The related parameters of the evaluation function comprise three-phase voltage fluctuation rate, three-phase frequency fluctuation rate, active power fluctuation rate, reactive power fluctuation rate and total harmonic distortion rate, and are defined as follows:
the three-phase voltage fluctuation ratio is defined as
Wherein
For the a-phase voltage at node i where distributed generation is located,
rated voltage of a phase of node i for distributed power generation
The frequency fluctuation rate of three-phase electricity is defined as
Wherein f isiFor the frequency of the node i where the distributed generation is located,
is the rated frequency of the node i where the distributed power generation is located.
The active power fluctuation ratio is defined as
Wherein Δ PiFor the active power of node i where distributed generation is located,
the rated active power of the node i where the distributed power generation is located.
The reactive power fluctuation ratio is defined as
Wherein Δ QiFor the reactive power of node i where the distributed generation is located,
the rated reactive power of the node i where the distributed power generation is located.
The total distortion rate of the harmonic is the sum of the harmonic divided by the fundamental wave, representing the severity of the harmonic, and the formula is
The evaluation function of the node is as follows:
wherein λ isa,γ,κ,χp,χqRepresenting the weight, N representing the time number of the corresponding block, the generation speed of a particular block can be set according to the actual situation, e.g. one block per hour, FiN is the evaluation function value for that time period.
In other embodiments of the present invention, an average evaluation function value of M blocks may be defined to evaluate the power generation quality, where the average evaluation function is:
s103: and sending the evaluation function and the internet transaction records of all the sub-nodes to the partial nodes and all the complete nodes to which the sub-nodes belong.
S104: and generating a partial node block chain at the partial nodes according to the internet transaction records and the evaluation function, and generating a complete node block chain at the complete nodes.
Referring to fig. 3, a block diagram is shown. Each block in the general block chain consists of a block head and a block body, wherein the block head is internally packaged with an address, a timestamp, a hash value and a random number of the previous block, and the block body comprises parameter values and evaluation function values related to the distributed power generation and supply evaluation function in the current block time and other transaction information data. The method comprises the following specific steps:
step one, the distributed generation nodes generate internet surfing transactions, and the distributed generation nodes request timestamp information from a timestamp server.
And step two, storing parameter values, evaluation functions and morning transaction record data related to the distributed power generation and supply evaluation function into a database of the node where the parameter values, the evaluation functions and the morning transaction record data are located.
And step three, sending parameter values and evaluation functions related to the distributed power generation evaluation functions of all the nodes and online transaction records thereof to partial nodes and all complete nodes of the area where the nodes are located, carrying out random hash on the partial nodes and the complete nodes, adding timestamps to distributed power generation related data information, carrying out block packing, and respectively generating block chains of the complete nodes and block chains of the partial nodes. Therefore, the risk of data loss can be reduced, the data can be prevented from being tampered, and the cost of a database framework is saved properly. When all full nodes are corrupted, the stored data of some nodes can be enabled, typically only the data of the full nodes is utilized.
Referring to fig. 4, a schematic structural diagram of a distributed power generation quality evaluation device based on a blockchain technology according to another embodiment of the present invention is shown.
As can be seen from fig. 4, the apparatus includes: a node dividing unit 1, an evaluation function constructing unit 2, a data transmitting unit 3, and a block chain generating unit 4.
Specifically, the node division unit 1 is configured to classify nodes of the distributed power generation system.
The node division unit includes:
the complete node selection module is used for dividing all nodes of the distributed power generation system into a plurality of partitions according to areas, and for each partition, selecting one node from the partitions as a complete node;
a partial node selection module, configured to divide a part of the partition excluding the complete node into a plurality of sub-partitions, and select a node from the sub-partitions as a partial node;
and the child node selection module is used for taking the rest other nodes as the child nodes.
The evaluation function building module 5 is used for building corresponding distributed power generation network quality evaluation functions according to different distributed power generation devices.
The data sending unit 6 is configured to send the evaluation function and the internet transaction records of all the child nodes to the partial nodes and all the complete nodes to which the child nodes belong.
The block chain generating unit 7 is configured to generate a partial node block chain at the partial node according to the internet transaction record and the evaluation function, and generate a complete node block chain at the complete node.
And sending parameter values and evaluation functions related to the distributed power generation evaluation functions of all the nodes and the online transaction records thereof to partial nodes and all complete nodes of the area, randomly hashing the partial nodes and the complete nodes, adding timestamps to distributed power generation related data information, performing block packing, and respectively generating a block chain of the complete nodes and a block chain of the partial nodes.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (6)
1. A distributed power generation quality evaluation method based on a block chain technology is characterized by comprising the following steps:
classifying nodes of a distributed power generation system, the classification of the nodes comprising: the system comprises child nodes, partial nodes and full nodes, wherein a child partition where the partial nodes are located comprises a plurality of child nodes, and a partition where the full nodes are located comprises a plurality of partial nodes;
constructing corresponding distributed power generation internet quality evaluation functions according to different distributed power generation devices;
sending the evaluation function and the internet transaction records of all the child nodes to partial nodes and all complete nodes of the partition to which the child nodes belong;
generating a partial node block chain at the partial nodes according to the internet transaction records and the evaluation function, and generating a complete node block chain at the complete nodes;
wherein the classifying the nodes of the distributed power generation system includes:
dividing all nodes of the distributed power generation system into a plurality of partitions according to regions, and selecting one node from the partitions as a complete node for each partition;
dividing the part of the partition except the complete node into a plurality of sub-partitions, and selecting one node from the sub-partitions as a partial node;
and taking the rest other nodes as the child nodes.
2. The method of claim 1, wherein generating a partial blockchain of nodes at the partial nodes and a full blockchain of nodes at the full nodes according to the online transaction record and the evaluation function comprises:
and writing the online transaction record and the evaluation function into a block through a hash algorithm to generate a plurality of blocks according to a preset block generation speed so as to generate the partial node block chain and the complete node block chain.
3. The method of claim 1, wherein the merit function is:
wherein λ isa,γ,κ,χp,χqThe weight is represented by a weight that is,
representing the rate of fluctuation, Δ f, of three-phase voltageiRepresenting the frequency ripple rate, Δ P, of three phasesiRepresenting the active power fluctuation ratio, Δ QiWhich represents the rate of fluctuation of the reactive power,
representing the total distortion rate of the harmonics.
4. A distributed power generation quality evaluation device based on a block chain technology is characterized by comprising the following components:
the node dividing unit is used for classifying nodes of the distributed power generation system, and the classification of the nodes comprises the following steps: the system comprises child nodes, partial nodes and full nodes, wherein a child partition where the partial nodes are located comprises a plurality of child nodes, and a partition where the full nodes are located comprises a plurality of partial nodes;
the evaluation function building module is used for building corresponding distributed power generation internet quality evaluation functions according to different distributed power generation devices;
the data sending unit is used for sending the evaluation function and the internet transaction records of all the sub-nodes to partial nodes and all complete nodes of the partition to which the sub-nodes belong;
a block chain generating unit, configured to generate a partial node block chain at the partial node according to the internet transaction record and the evaluation function, and generate a complete node block chain at the complete node;
wherein the node dividing unit includes:
the complete node selection module is used for dividing all nodes of the distributed power generation system into a plurality of partitions according to areas, and for each partition, selecting one node from the partitions as a complete node;
a partial node selection module, configured to divide a part of the partition excluding the complete node into a plurality of sub-partitions, and select a node from the sub-partitions as a partial node;
and the child node selection module is used for taking the rest other nodes as the child nodes.
5. The apparatus according to claim 4, wherein the block chain generating unit is specifically configured to write the online transaction record and the evaluation function into a block through a hash algorithm to generate a plurality of blocks according to a preset block generation speed, so as to generate the partial node block chain and the full node block chain.
6. The apparatus of claim 4, wherein the merit function is:
wherein λ isa,γ,κ,χp,χqThe weight is represented by a weight that is,
representing the rate of fluctuation, Δ f, of three-phase voltageiRepresenting the frequency ripple rate, Δ P, of three phasesiRepresenting the active power fluctuation ratio, Δ QiWhich represents the rate of fluctuation of the reactive power,
representing the total distortion rate of the harmonics.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710422753.5A CN107301501B (en) | 2017-06-07 | 2017-06-07 | Distributed power generation quality evaluation method and device based on block chain technology |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710422753.5A CN107301501B (en) | 2017-06-07 | 2017-06-07 | Distributed power generation quality evaluation method and device based on block chain technology |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN107301501A CN107301501A (en) | 2017-10-27 |
| CN107301501B true CN107301501B (en) | 2021-03-09 |
Family
ID=60134796
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710422753.5A Active CN107301501B (en) | 2017-06-07 | 2017-06-07 | Distributed power generation quality evaluation method and device based on block chain technology |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107301501B (en) |
Families Citing this family (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2019087006A1 (en) | 2017-11-02 | 2019-05-09 | nChain Holdings Limited | Computer-implemented systems and methods for combining blockchain technology with digital twins |
| CN108075493B (en) * | 2017-12-28 | 2020-05-05 | 上海唯链信息科技有限公司 | Distributed energy system based on block chain technology |
| CN108282539A (en) * | 2018-02-06 | 2018-07-13 | 北京奇虎科技有限公司 | Decentralization storage system based on double-layer network |
| CN108564291B (en) * | 2018-04-20 | 2020-11-27 | 杭州恒生数字设备科技有限公司 | Student growth process evaluation system based on district chain block |
| CN108765023B (en) * | 2018-06-01 | 2021-11-12 | 深圳市元征科技股份有限公司 | Commodity evaluation management method, system and equipment |
| CN108900321A (en) * | 2018-06-06 | 2018-11-27 | 广州链块科技有限公司 | The method that a kind of block chain by stages carries out real-time atom transaction |
| CN108769264B (en) * | 2018-07-09 | 2021-06-04 | 中国联合网络通信集团有限公司 | Block chain domain division method |
| CN110858344B (en) * | 2018-08-23 | 2024-04-02 | 阿里巴巴集团控股有限公司 | Data processing method, device, equipment and system, data query method, device and equipment |
| CN112785166A (en) * | 2021-01-27 | 2021-05-11 | 哈尔滨工业大学（威海） | Block chain-based power distribution network distributed generation unit output evaluation method and device |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104599054A (en) * | 2014-12-31 | 2015-05-06 | 国家电网公司 | Evaluation method for operating characteristics of power distribution network after grid connection of distributed power supplies |
| CN105186514A (en) * | 2015-10-20 | 2015-12-23 | 南京南瑞集团公司 | Distribution network safety evaluating and early warning method after large scale distributed photovoltaic grid connected |
| CN106296200A (en) * | 2016-08-13 | 2017-01-04 | 深圳市樊溪电子有限公司 | Distributed photovoltaic electric power transaction platform based on block chain technology |
| CN106296359A (en) * | 2016-08-13 | 2017-01-04 | 深圳市樊溪电子有限公司 | Credible electric power networks transaction platform based on block chain technology |
| WO2017066431A1 (en) * | 2015-10-13 | 2017-04-20 | TransActive Grid Inc. | Use of blockchain based distributed consensus control |
| CN106775497A (en) * | 2017-01-19 | 2017-05-31 | 郑志超 | Distributed storage method and equipment based on block chain |
-
2017
- 2017-06-07 CN CN201710422753.5A patent/CN107301501B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104599054A (en) * | 2014-12-31 | 2015-05-06 | 国家电网公司 | Evaluation method for operating characteristics of power distribution network after grid connection of distributed power supplies |
| WO2017066431A1 (en) * | 2015-10-13 | 2017-04-20 | TransActive Grid Inc. | Use of blockchain based distributed consensus control |
| CN105186514A (en) * | 2015-10-20 | 2015-12-23 | 南京南瑞集团公司 | Distribution network safety evaluating and early warning method after large scale distributed photovoltaic grid connected |
| CN106296200A (en) * | 2016-08-13 | 2017-01-04 | 深圳市樊溪电子有限公司 | Distributed photovoltaic electric power transaction platform based on block chain technology |
| CN106296359A (en) * | 2016-08-13 | 2017-01-04 | 深圳市樊溪电子有限公司 | Credible electric power networks transaction platform based on block chain technology |
| CN106775497A (en) * | 2017-01-19 | 2017-05-31 | 郑志超 | Distributed storage method and equipment based on block chain |
Non-Patent Citations (3)
| Title |
|---|
| "关于分布式光伏发电系统接入配电网的电能质量分析";邓本浩;《电力讯息》;20150615;全文 * |
| "分布式发电系统电能质量评估指标研究";左向红 等;《电网与清洁能源》;20170430;第33卷(第4期);全文 * |
| "分布式电源并网对电能质量影响评估方法分析";沈海实，肖畅;《电网技术》;20140630(第4期);全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN107301501A (en) | 2017-10-27 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107301501B (en) | Distributed power generation quality evaluation method and device based on block chain technology | |
| Smith et al. | The effect of renewable energy incorporation on power grid stability and resilience | |
| US20220261062A1 (en) | Methods and apparatus for characterizing memory devices | |
| CN106293892B (en) | Distributed stream computing system, method and apparatus | |
| US11847183B2 (en) | Methods and apparatus for checking the results of characterized memory searches | |
| US10957416B2 (en) | Methods and apparatus for maintaining characterized memory devices | |
| CN107844402A (en) | A kind of resource monitoring method, device and terminal based on super fusion storage system | |
| Elmokashfi et al. | Revisiting BGP churn growth | |
| CN111582850A (en) | Electricity charge recharging method and device based on mobile phone bank | |
| Yacar et al. | Storage allocation and investment optimisation for transmission‐constrained networks considering losses and high renewable penetration | |
| Li et al. | Development of time-of-use price by clustering techniques | |
| Guo et al. | On-line prediction of transient stability using decision tree method—Sensitivity of accuracy of prediction to different uncertainties | |
| Kröger | Securing the operation of socially critical systems from an engineering perspective: new challenges, enhanced tools and novel concepts | |
| CN115617279B (en) | Distributed cloud data processing method and device and storage medium | |
| US9429602B2 (en) | Partial information generating device, power usage amount calculation system, and partial information generating method | |
| CN111078588A (en) | Garbage recycling method, device, equipment and storage medium | |
| Niño-Mora | A dynamic page-refresh index policy for web crawlers | |
| CN110533257A (en) | Prediction method for district heating load | |
| Seol et al. | The dependability of crypto linked off-chain file systems in backend blockchain analytics engine | |
| CN108667893A (en) | Data recommendation method, device and electronic equipment | |
| Xu et al. | Hero: Heterogeneity-aware erasure coded redundancy optimal allocation for reliable storage in distributed networks | |
| CN106684875A (en) | Network group, method for dividing distribution network areas, distribution network and analysis method thereof | |
| CN113726525A (en) | Energy industry cloud network data tracing method and device | |
| Kuttler et al. | Network importance measures for multi-component disruptions | |
| Wu et al. | MIP-based post-contingency corrective action with quick-start units |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CP01 | Change in the name or title of a patent holder | ||
| CP01 | Change in the name or title of a patent holder |
Address after: 100038 building 11, yard 68, Beiqing Road, Haidian District, Beijing Patentee after: BEIJING HUITONG JINCAI INFORMATION TECHNOLOGY Co.,Ltd. Patentee after: State Grid Digital Technology Holdings Co.,Ltd. Patentee after: STATE GRID ZHEJIANG ELECTRIC POWER Co. Patentee after: State Grid Corporation of China Address before: 100038 building 11, yard 68, Beiqing Road, Haidian District, Beijing Patentee before: BEIJING HUITONG JINCAI INFORMATION TECHNOLOGY Co.,Ltd. Patentee before: STATE GRID ELECTRONIC COMMERCE Co.,Ltd. Patentee before: STATE GRID ZHEJIANG ELECTRIC POWER Co. Patentee before: State Grid Corporation of China |