CN102253269A - Integrated processing system for real-time data of electric power based on cloud computing and designing method - Google Patents

Abstract

The invention relates to an integrated processing system for real-time data of electric power based on cloud computing and a designing method. The computing and processing of tristate data can be completely realized by adopting a set of acquisition equipment and a set of distributed cloud storing, a cloud computing and cloud service mode, and respective computing values can be provided for various different application components so as to greatly reduce the number of configurated acquisition units of intelligent equipment; uniform data processing, computing and sharing are actually realized, a conventional functional device is changed into a functional component, the traffic and nodes on external network are effectively reduced, the communication network structure is optimized, and the network communication pressure is reduced, thereby being favorable for improving the system reliability and reducing the installation cost and maintenance expenses of the system.

Description

Integrated processing system and design method of power real-time data based on cloud computing

technical field

The invention belongs to the field of power system automation information collection and control, and relates to a power system real-time data collection, processing and control system, in particular to a cloud computing-based power real-time data integrated processing system and design method.

Background technique

The data acquisition function of the traditional power system is closely combined with the specific logic judgment function, which is usually completed by a single hardware device. Therefore, different devices or systems need to be configured to complete different functions. These devices or systems with different functions have their own independent data acquisition unit. Various data collections have problems such as cross-repeated collection, low utilization rate, inconsistent data and information content, and inconsistent time, forming an "information island" characterized by multiple vertical levels and multiple horizontal systems, which restricts the further development of information. Convergence and application, repeated collection and repeated transmission of data and information will inevitably lead to waste of various resources.

In order to realize all-round monitoring of the operating status of the power grid, various types of automatic devices are applied to all aspects of the smart grid. Such as the monitoring system measurement and control unit for collecting steady-state data, the phasor measurement unit (PMU) for collecting dynamic data, the protection device and fault recording device for collecting transient data, etc. However, due to the influence of factors such as development background, design concept, technical level, operating habits, and management departments, data sources are not uniform, hardware is duplicated, and functions are crossed. Moreover, various types of equipment have different hardware and software technical levels, and different communication capabilities and protocols. At present, most of them are networked separately, and there is basically no data exchange between each other. The information between the equipment is independent, and the application function settings of some equipment overlap.

Taking the substation as an example, as shown in Figure 1, the instruments are divided into three categories: protection, measurement and control, and metering. They all have their own A/D units and are directly connected to TA /TV. There are the following problems:

(1) The basic quantity (TA, TV) is "measured" many times, and the accuracy of each instrument is different, resulting in inconsistent data and uneconomical cost.

(2) Due to the different accuracy of the basic quantities (TA, TV) collected by each instrument, the different sampling frequencies and the different algorithms used, the same quantity (such as P) is also different in different instruments, and the data redundancy and confusion.

(3) It is difficult to communicate between the system and equipment, and between equipment and equipment. Although there are already a number of relevant standards, this difficulty is still one of the bottlenecks in system implementation in reality, and it is also one of the obstacles to the goal of information sharing and information integration in smart grids.

(4) The process data is missing. During the sampling process, a large amount of process data is generated. These data are valuable for later accident analysis or business expansion, but what we get from the instrument is all calculated after N times "Secondary Data", "Simplified Values".

The problems brought about by this independent configuration, independent calculation, and independent function device are poor information sharing, low utilization rate and waste of hardware and software resources.

In order to solve the above-mentioned problems, especially the key problems such as separate data collection, data processing and calculation, and data sharing, it is necessary to establish a new framework and mechanism to realize the one-time collection of voltage and current data of the same type of equipment. Under a unified software application platform, various application functions such as measurement and control, protection, phasor measurement, and metering can be realized.

Contents of the invention

The purpose of the present invention is to provide a cloud computing-based power real-time data integrated processing system and design method to solve the problem of poor information sharing, low utilization rate and software and hardware problems brought about by devices with independent configuration, independent calculation, and independent functions. To solve the problem of waste of resources, realize one-time collection of voltage and current data of the same type of equipment, and multiple applications such as measurement and control, protection, phasor measurement, and metering.

An integrated real-time data processing system for power systems based on cloud computing, including:

Data sampling equipment: a set of transformer TA/TV acquisition unit is installed on the outgoing line of the same type of power equipment, which is used for AC sampling of instantaneous voltage and current values according to the highest precision and frequency required by the application components;

Cloud data storage pool: The data storage layer of cloud storage interconnects different types of storage devices to realize unified management of massive data, and at the same time realize centralized management, status monitoring and dynamic expansion of capacity along with storage devices. Cloud data storage pool is A service-oriented distributed storage system, which is used to correspondingly store the instantaneous value data of voltage and current uploaded by each acquisition unit into each storage unit;

Cloud data computing platform: used to call the voltage and current instantaneous values stored in the cloud data storage pool to calculate corresponding demand values according to the public computing characteristics of power system business;

Cloud service access module: a cloud service access interface is provided, which is used to obtain the cloud computing service registered on the network through the optical fiber network according to the trigger of the application component, and obtain the corresponding demand value from the cloud data computing platform.

Further, the cloud data storage pool uses cloud storage technology to store the sampled instantaneous values of voltage and current according to time series.

Further, the cloud data storage pool is provided with storage units respectively corresponding to the collection units, and the collection units correspond to the storage units one by one through mapping addresses.

Further, the cloud data computing platform establishes a common computing module to calculate the demand value of the corresponding application components. The public computing module includes voltage and current effective value calculation, active power and reactive power effective value calculation and electric quantity calculation.

The steps of the cloud computing-based real-time data integrated design method of the power system in the present invention are as follows:

(1) Install a set of transformer TA/TV acquisition unit on the outgoing line of the same type of power equipment, and conduct an AC sampling of the instantaneous value of voltage and current according to the highest precision and frequency required by the system;

(2) Upload the instantaneous values of voltage and current obtained by sampling to the cloud data storage pool, and the cloud data storage pool uses cloud storage technology to store the data uploaded by each acquisition unit according to time series;

(3) The cloud data computing platform calls the instantaneous values of voltage and current in the cloud storage pool according to the public computing characteristics of the power system business, and establishes a general computing module to calculate the corresponding demand value;

(4) Each application component triggers, finds the cloud server through the optical fiber network, and obtains the corresponding demand value or instantaneous value of voltage and current from the cloud data computing platform through the cloud service access interface.

Further, the corresponding storage in the step (2) means that the cloud data storage pool is provided with storage units corresponding to each collection unit, and the sampling data uploaded by each collection unit are stored in one-to-one correspondence according to the mapping addresses of the storage units. In the storage unit of the cloud data storage pool. the

Further, the common calculation module in the step (3) includes: calculating effective values of voltage and current, active and reactive effective values, and electric quantity.

Further, the general computing module can be added and configured flexibly.

The cloud computing-based real-time power data integrated processing system and design method of the present invention can fully realize three-state data, that is, steady-state data ( Calculation and processing of monitoring system measurement and control unit), dynamic data (used by phasor measurement device-PMU), transient data (used by protection device and fault recording device), and provide the required calculation values for various application components , thus greatly reducing the number of configurations of smart device acquisition units. Through high-speed network communication technology, unified data processing, calculation, and sharing are truly realized. Conventional functional devices have become logical functional modules (functional components) in a unified software platform, effectively reducing The flow and number of nodes on the external network optimize the structure of the communication network and reduce the pressure of network communication, which is conducive to improving the reliability of the system and reducing the installation cost and maintenance cost of the system; due to the integration of steady-state, dynamic and transient data, And through network collection to obtain the whole station range of information, so the unified software computing platform obtains a wider and more comprehensive range of information after processing and calculation. The integration of multiple data types and real-time analysis enable the whole system to better perceive the system environment. Changes, quickly take effective response measures to minimize the impact of various abnormal system conditions on substation equipment and power systems.

Description of drawings

Figure 1 is a schematic diagram of the existing substation data acquisition;

Fig. 2 is a system schematic diagram of the embodiment of the present invention.

Detailed ways

The cloud computing-based power real-time data integrated processing system consists of five parts: data sampling layer, data storage layer, data calculation layer, data access layer and high-speed and reliable optical fiber communication network. The soft processing system establishes a new framework and implementation mechanism to realize the instantaneous AC sampling value of the same type of equipment voltage and current to be collected once with high precision, through a set of distributed cloud storage, cloud computing and cloud services. Provide the calculated values required by various application units. For example, the measurement and control unit of a certain outgoing line can obtain the effective value of its outgoing line voltage and current, active power and reactive power in real time through direct access to the network.

The cloud computing-based power real-time data integrated processing system of the present invention is shown in Figure 2, and the soft device is divided into four layers during specific implementation:

Data sampling layer: Data sampling equipment is set up. According to the functional requirements of the application components in the system, the sampling equipment sets the sampling frequency to the highest frequency and accuracy required by the function for data sampling. For the same type of equipment in the power grid and low-voltage network, the same set of mutual inductance The TA/TV acquisition unit of the device realizes high-precision one-time acquisition of multi-point instantaneous values of voltage and current, and achieves one-time acquisition of the same type of electrical quantity of the same device, which can be used in multiple places. While reducing costs, it has better sampling accuracy and sampling frequency. "Multiple acquisition devices in one". For example, for an outgoing line in the past, both the acquisition device for measurement and control and the acquisition device for PMU were installed. After adopting this system, only one set is needed to collect the instantaneous value of voltage and current of the outgoing line.

Data storage layer: There is a cloud data storage pool. The cloud data storage pool adopts cloud storage technology according to the time sequence, and is used to store the instantaneous value data of voltage and current uploaded by each acquisition unit into each storage unit. The storage unit passes the mapping The addresses are in one-to-one correspondence with each acquisition unit.

Data computing layer: corresponding to the cloud data computing platform, the cloud data computing platform is used to call the instantaneous values of voltage and current stored in the cloud data storage pool according to the public computing characteristics of the power system business, and establish general computing modules, such as computing voltage, The effective value of current, effective value of active and reactive power, electricity, etc., can be flexibly added and set by the public calculation module, and the corresponding calculation value can be calculated.

Data access layer: The cloud service access module has a cloud service access interface, which is used to find the cloud server through the optical fiber network according to the trigger of the application component, and obtain the corresponding calculation value from the cloud data computing platform in real time. The interface services provided by the data access layer include cloud service access interfaces for voltage, current, active power, and reactive power RMS.

The above four layers are connected sequentially through a reliable and high-speed optical switching communication network. The communication ring network is closely related to the power line. The high-speed communication optical fiber line is laid along the power line to all intelligent units, providing a powerful information high-speed communication channel for the smart grid. .

The steps of the cloud computing-based integrated processing design method for electric power real-time data of the present invention are as follows:

(1) Install a set of transformer TA/TV acquisition unit on the outgoing line of the same type of power equipment, and conduct an AC sampling of the instantaneous value of voltage and current according to the highest precision and frequency required by the system;

(2) Upload the instantaneous values of voltage and current obtained by sampling to the cloud data storage pool, and the cloud data storage pool uses cloud storage technology to store the data uploaded by each acquisition unit according to time series; the corresponding storage here refers to cloud data storage There are storage units corresponding to each collection unit in the pool, and the sampling data uploaded by each collection unit are stored in the storage units of the cloud data storage pool in one-to-one correspondence according to the mapping addresses of the storage units;

(3) The cloud data computing platform calls the instantaneous values of voltage and current in the cloud storage pool according to the public computing characteristics of the power system business, and establishes a general computing module to calculate the corresponding demand value; the general computing module includes: computing voltage and current RMS value, active and reactive RMS value, electric quantity; general calculation module can be added and set flexibly;

(4) Each application component triggers, finds the cloud server through the optical fiber network, registers with the corresponding cloud computing service, and obtains the corresponding demand value or instantaneous value of voltage and current from the cloud data computing platform through the cloud service access interface.

The data acquisition function, calculation processing function and specific logic judgment function in the traditional power system are closely combined, and are usually completed by a single hardware device. Therefore, different hardware devices or systems need to be configured to complete different functions. Devices with different functions Or the system has its own independent data acquisition unit. Compared with the traditional scheme, the design and implementation method of the real-time data integrated soft processing system of the power system based on cloud computing proposed by the present invention is mainly different in that:

The traditional real-time data acquisition and processing unit is composed of multiple isolated systems, the data is collected repeatedly and the data is incomplete, and the measurement and control, measurement, protection, and safety automatic devices are realized locally by different hardware devices. The disadvantage is that data collection is repeated, data is difficult to share, and system application functions are difficult to coordinate effectively. The present invention is based on the cloud computing real-time data integrated processing software system of the electric power system. The application functions of measurement and control, protection, metering, and safety automatic devices are all realized in the form of software of functional components, thereby greatly reducing the number of configurations of intelligent equipment acquisition units. High-speed network communication technology truly realizes unified data processing, calculation, and sharing. Conventional functional devices become functional components in a unified software platform, effectively reducing the traffic and number of nodes on the external network, optimizing the communication network structure, and reducing network communication pressure. , which is conducive to improving the reliability of the system and reducing the installation cost and maintenance cost of the system.

Claims (9)

1. based on the power real-time data integrated processing system of cloud computing, it is characterized in that, comprise connecting successively by Networks of Fiber Communications:

Data sampling equipment: a cover mutual inductor TA/TV collecting unit is installed in the outlet of same type power equipment, is used for the AC sampling of carrying out voltage, current instantaneous value by the full accuracy and the frequency of application component requirement;

Cloud data storage pond: the data storage layer of cloud storage interconnects dissimilar memory devices, realize the unified management of mass data, realize the dynamic expansion of centralized management, condition monitoring and capacity simultaneously with memory device, cloud data storage pond is a kind of service-oriented distributed memory system, and voltage, the current instantaneous value data correspondence of utilizing this system to be used for each collecting unit is uploaded deposit each storage unit in;

Cloud data computation platform: be used for calling cloud data storage pond stored voltage, current instantaneous value and calculate the corresponding demand value according to the professional public estimated performance of electric system respectively;

The cloud service access modules: be provided with the cloud service access interface, be used for the triggering according to application component, the cloud computing service by registering on the fiber optic network acquisition network obtains the corresponding demand value from cloud data computation platform.

2. the power real-time data integrated processing system based on cloud computing according to claim 1 is characterized in that, voltage, current instantaneous value that described cloud data storage pond adopts cloud memory technology store sample to arrive according to time series.

3. the power real-time data integrated processing system based on cloud computing according to claim 1, it is characterized in that: described cloud data storage is provided with corresponding with each collecting unit respectively storage unit in the pond, and collecting unit and storage unit are corresponding one by one by mapping address.

4. the power real-time data integrated processing system based on cloud computing according to claim 1, it is characterized in that, described cloud data computation platform is set up the general calculation module, calculate the requirements of application corresponding assembly, public computing module comprises that voltage, current effective value calculate, and meritorious, reactive power effective value calculates and electric weight calculates.

5. according to each described power real-time data integrated processing system among the claim 1-4 based on cloud computing, it is characterized in that the cloud service interface that described cloud service access modules provides comprises voltage, electric current, active power, reactive power effective value cloud service access interface.

6. based on the power real-time data integrated design method of cloud computing, it is characterized in that the step of this method is as follows:

(1) a cover mutual inductor TA/TV collecting unit is installed in the outlet of same type power equipment, and an AC sampling of carrying out voltage, current instantaneous value according to the full accuracy and the frequency of system requirements;

(2) voltage that sampling is obtained, current instantaneous value are uploaded to cloud data storage pond, and the data that upload each collecting unit in this cloud data storage pond adopt cloud memory technology corresponding stored according to time series;

(3) voltage in the cloud data computation platform invoke cloud storage pool, current instantaneous value according to the professional public estimated performance of electric system, are set up the general calculation module respectively, calculate the corresponding demand value;

(4) each application component triggers, and finds Cloud Server by fiber optic network, obtains corresponding demand value or voltage, current instantaneous value by the cloud service access interface from cloud data computation platform.

7. the power real-time data integrated design method based on cloud computing according to claim 6, it is characterized in that: corresponding stored is meant and is provided with corresponding with each collecting unit respectively storage unit in the cloud data storage pond in the described step (2), and the sampled data that each collecting unit is uploaded is according to corresponding one by one respectively the depositing in the storage unit in cloud data storage pond of mapping address of storage unit.

8. the power real-time data integrated design method based on cloud computing according to claim 6 is characterized in that, the general calculation module comprises in the described step (3): the effective value of calculating voltage, electric current, meritorious, idle effective value, electric weight.

9. the power real-time data integrated design method based on cloud computing according to claim 8 is characterized in that: described general-purpose computations module can be added flexibly and is provided with.

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