CN103646286A - Data processing method for estimating efficiency of intelligent distribution network - Google Patents
Data processing method for estimating efficiency of intelligent distribution network Download PDFInfo
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Abstract
The invention discloses a data processing method for estimating the efficiency of an intelligent distribution network. The efficiency estimation of the intelligent distribution network is realized by acquiring basic attribute data and operating data of the distribution network, distributed power sources and power loads, and performing data preprocessing, data analysis, index calculation and synthesis to output indexes representative of the efficiency of the intelligent distribution network and key link influencing the efficiency of the intelligent distribution network. According to the intelligent distribution network efficiency estimation method, by automatically acquiring and preprocessing the attribute data and operating data of the intelligent distribution network, and by taking real-time data and historical data and multiple stages, such as the planning stage, the operating stage, etc., into account to perform a number of basic analysis, an estimation mode in which single index calculation and comprehensive index estimation are coordinated mutually is formed. According to the intelligent distribution network efficiency estimation data processing method of the invention, advantages of automation and adaptive characteristics can be realized in data acquisition, analysis and estimation, and the real-time data and the historical data and the planning data and the operating data can be coordinated automatically in conditions in which no human intervention exists.
Description
Technical field
The present invention relates to the data processing method of intelligent distribution network high efficiency assessment, belong to power distribution network theory and information-theoretical interleaving techniques application.
Background technology
Intelligent grid is the development trend of following electrical network, there is the features such as safety, self-healing, interaction, compatibility, clean, efficient, high-quality, in reply climate change, ensure national energy security, promote green economy development, promote the aspects such as power industry Energy restructuring and there is vital role, its core driving force be solve energy security with environmental issue, tackle climate change.Intelligent distribution network is the important component part of intelligent grid, has the essential characteristic of intelligent grid.Applying of distributed power source and large capacity accumulator system, the access of micro-electrical network and electric automobile, the plurality of energy supplies modes such as hot and cold, Electricity Federation product coexist, the large capacity dynamic load such as central air conditioner is more and more, the development and application of smart machine, make power supply, load in intelligent distribution network present the feature that wide area distributes, user participates in the Changing Pattern that interaction has changed load, energy, information and business two-way flow.
Energy environment pressure has proposed the demand of efficient operation to intelligent distribution network, intelligent distribution network can adopt multiple means to realize efficient operation.Make rational planning for and utilize distributed power source can dwindle fault incidence, improve the long distance that trend distributes, reduces energy and carry, realize energy-saving and emission-reduction.Correct guidance user participates in interaction and can improve operation of power networks level, reduce peak-valley difference, reduce or delay power grid construction investment.Distributed power source exert oneself stability and adjustable controllability poor, the risk of the higher power network safety operation of permeability is just larger.User's mutual-action behavior has spontaneity and randomness, makes the variation of part throttle characteristics be difficult to prediction, and in addition correct guidance will not affect the safe and stable operation of electrical network.It is to formulate Scientific Construction scheme, make full use of distributed energy, promote user to participate in the theoretical foundation of interaction, the development of guiding high efficiency that the high efficiency of intelligent distribution network is assessed, and has theoretical significance and practical value.
The high efficiency assessment of intelligent distribution network is the comprehensive assessment to complex large system, impact and its power supply type, access point position, the method for operation that the access of distributed power source produces power distribution network and the size of exerting oneself are closely related, user participates in interactive type and mode has diversity, dissimilar user interaction is different on the impact of operation of power networks high efficiency, distributed power source access and user participate in interaction and have changed energy balance model, thereby changed the scheduling controlling pattern of intelligent distribution network, made high efficiency assessment more complicated.The packets of information that the assessment of intelligent distribution network high efficiency needs, containing the various aspects of power distribution network, comes from different computer systems, the data processing method that needs research to assess intelligent distribution network high efficiency.
Summary of the invention
Technical matters: the object of this invention is to provide a kind of data processing method that intelligent distribution network high efficiency is assessed, by gathering primary attribute data and the service data of power distribution network, distributed power source, electric load, the line number of going forward side by side Data preprocess, data analysis, index are calculated and are comprehensive, output characterizes the index of intelligent distribution network high efficiency and the key link that affects its high efficiency, thereby realizes the high efficiency assessment to intelligent distribution network.
Technical scheme: intelligent distribution network high efficiency is assessed by the attribute data of intelligent distribution network and service data are gathered and pre-service automatically, a plurality of stages such as real time data and historical data, planning and operation of taking into account are carried out multinomial fundamental analysis, form single index and calculate the evaluation profile of coordinating mutually with overall target assessment.
Intelligent distribution network high efficiency assessment data disposal route of the present invention from the collection of data, analyze assessment and all there is robotization and adaptive characteristic, in without human intervention situation, automatic synchronization real time data and historical data, layout data and service data, comprise that data pre-service, fundamental analysis, single index calculate, overall target is assessed four steps, concrete steps are as follows:
1) data preprocessing module collection assessment information needed, comprise power grid construction and structural information, operation of power networks information, user dependability demand information, distributed power source capacity and operation information, electromagnetism/noise monitoring information, data of information system, power distribution network Workflow messages, user interaction information etc., then data are carried out to pre-service, and pretreated data are sent to fundamental analysis module;
2) data that fundamental analysis module is sent according to data preprocessing module, analyze as follows: according to reliability requirement type, user is classified, add up respectively frequency of power cut, power off time, stoppage in transit electric weight and the loss of outage of all types of user within the assessment period; The circuit of take is added up respectively capacity and the segments of each circuit as unit; Based on topology information, set gradually the direct connected switch of each equipment for disconnecting, calculate the number of loading that has a power failure; Take assessment area as unit to assessment the period in all devices the number of stoppages, maintenance number of times add up; The assessment area of take adds up to the uninterrupted operation number of times of all devices, the number of devices of carrying out repair based on condition of component as unit; The original assets of electrical network in assessment area and annual new assets are added up and obtain electrical network total assets; According to annual gas load curve and load data, obtain maximum supply load, year delivery; According to network structure data and topology information, distribution capacity is added up and obtains the distribution capacity of electrical network according to supply path; According to critical point data statistics electric weight calculated difference, obtain electric energy loss; Take circuit/equipment as unit is based on load actual value and rated capacity computational load rate; Charging electric vehicle amount, distributed power source generated energy, system reserve reduction in assessment area are added up and obtain power requirement variable quantity; With electromagnetism-noise monitoring Dian Wei unit, according to time sequencing, electromagnetism/noise monitoring value is sorted; According to intelligent terminal quantity in data of information system statistical estimation region; Distribution terminal information acquisition situation, intercommunication system coverage in statistical estimation region; According to all departments' operation flow data statistics repeat in work situation; According to all departments' information content and information type statistics, share information content; According to load curve analysis load curve characteristic, record load peak, valley, peak load duration; Statistics participates in number of users and the response electric weight of demand response; Counting user customization electric power type, quantity and satisfaction degree; And data pre-service result is sent to single index computing module;
3) data that single index computing module sends according to fundamental analysis module, calculate as follows and analyze: according to data such as the frequency of power cut of all types of user, interruption duration, stoppage in transit electric weight, according to evaluation index definition, calculating the average frequency of power cut of user, the average power off time of user, power failure electric weight accounting index; According to stop transport electric weight and electricity price data of user, according to evaluation index definition, calculate loss of outage index; According to circuit attaching total volume and line sectionalizing number, according to evaluation index definition, calculate the average attaching capacity performance index of line sectionalizing; According to the direct power failure load number under connected switch disconnection of equipment, the statistics load that has a power failure is 0 number of devices and the ratio of total number of devices; According to circuit-overhaul of the equipments number of stoppages, according to evaluation index, define computational scheme availability, equipment availability index; According to uninterrupted operation number of times, according to evaluation index definition, calculate uninterrupted operation accounting index; According to adopting number of devices, the equipment total quantity of repair based on condition of component to calculate repair based on condition of component coverage rate index according to evaluation index definition; According to power grid asset, year delivery, maximum supply load, according to evaluation index definition, calculate maximum supply load index of Unit Assets delivery, Unit Assets year; According to maximum supply load and distribution total volume, according to evaluation index definition, obtain capacity-load ratio index; According to operation of power networks maintenance cost, according to evaluation index, define unit of account assets year operation and maintenance cost index; According to loss, according to evaluation index definition, calculate comprehensive line loss per unit index; According to equipment/line load situation, according to evaluation index definition, calculate economical operation drift rate, underloading equipment accounting index; According to charging electric vehicle amount, distributed power source generated energy, system reserve reduction, loss, according to evaluation index definition, calculate power requirement variable quantity and distributed power source generated energy accounting index, and according to evaluation index definition, calculate coal saving amount, oil saving amount, carbon dioxide emission reduction amount, sulphuric dioxide CER, oxides of nitrogen CER index accordingly; According to electromagnetism/noise monitoring point, monitor value, monitored area categorical data, according to evaluation index definition, calculate electric field intensity mean deviation, magnetic field intensity mean deviation, noise intensity mean deviation index; According to intelligent terminal quantity, distribution terminal information acquisition situation, intercommunication system coverage, according to evaluation index definition, calculate distribution terminal information acquisition rate, intelligent terminal coverage rate, intercommunication system coverage rate index; According to the department service situation of intersecting, according to evaluation index definition, calculate cross business accounting index; According to department information, share situation according to evaluation index definition calculating department information sharing index; According to load curve characteristics, according to evaluation index definition, calculate electrical network peak-valley ratio, peak load duration accounting index; Respond according to demand number of users and electric weight according to evaluation index definition computation requirement response user accounting index; According to customization electric power satisfaction degree, according to evaluation index definition, calculate electrical network service-user Satisfaction index; Above Calculation results is sent to overall target evaluation module;
4) data that overall target evaluation module sends according to single index computing module, according to the structure of evaluation index system, adopt the reliability, economy, spatter property of average weighted method computational intelligence power distribution network, every overall target such as interactive, then these 4 desired values add up, be weighted again the comprehensive assessment index that on average obtains characterizing intelligent distribution network high efficiency, and according to " low, lower, in, higher, height " five grade output intelligent distribution network high efficiency assessment results.
Wherein, data being carried out to pretreated method is: whether calibration voltage, electric current, electric weight, power overrate; Whether verification distributed power source is exerted oneself surpasses its max cap.; Whether verification electromagnetism/noise monitoring value is corresponding with monitoring point; According to operation of power networks data and on off state, check topological structure of electric; Verification intelligent electric meter is installed quantity and whether is surpassed user's total amount; Whether all kinds of reliability requirement users' of verification summation equals user's total amount; According to given data, to gathering the data of disappearance, supplement, data wrong or that surpass tolerance band are revised.
Beneficial effect: this method is applied to power distribution network by high efficiency assessment technology, adopts the data processing method of automatic synchronization real time data and historical data, layout data and service data can obtain following effect:
(1) intelligent distribution network high efficiency is assessed to this challenge and be converted into high efficiency and assess closely-related intelligent distribution network flow chart of data processing, the function of each module and Output rusults are concisely directly perceived.
(2) data of the different phases such as planning and operation are combined and assessed, the intelligent distribution network high efficiency factor and provide high efficiency to refer to calibration method of affecting can be correctly provided, by the method, assess and can improve fund, the energy of intelligent distribution network, the utilization factor of equipment.
Accompanying drawing explanation
Fig. 1 is the flow chart of data processing of intelligent distribution network high efficiency assessment.
Embodiment
Intelligent distribution network high efficiency assessment data processing scheme is to carry out pre-service and fundamental analysis according to the data that gather, and then calculates each single index and high efficiency overall target, thereby prepares for providing the measure of raising intelligent distribution network high efficiency.Concrete evaluation process is as follows:
1) process of data preprocessing: gather assessment information needed, comprise power grid construction and structural information, operation of power networks information, user dependability demand information, distributed power source capacity and operation information, electromagnetism/noise monitoring information, data of information system, power distribution network Workflow messages, user interaction information etc., 75,10kV medium-voltage distribution circuit as total in center, Xin Jie Kou, Nanjing, total line length 145.48km, cable length 131.76km wherein, overhead transmission line length is 13.72km, and line insulation rate reaches 100%; Medium-voltage distribution circuit looped network rate reaches 97.33% etc.Then data are carried out to pre-service, and pretreated data are sent to fundamental analysis module;
2) fundamental analysis process: according to user's the frequency of power cut of reliability requirement type statistics all types of user, the stoppage in transit electric weight of the power off time of all types of user, all types of user, the loss of outage of all types of user; Add up capacity and the segments of each circuit; Power failure load number when the direct connected switch of computing equipment is disconnection; Take the fault/maintenance situation of equipment within the unit statistical estimation time period; Take uninterrupted operation number of times, the repair based on condition of component number of devices of assessment area all devices in unit adds up this region; Statistical estimation regional power grid total assets, maximum supply load, year delivery, distribution capacity; According to critical point data statistics electric weight calculated difference, obtain electric energy loss; According to circuit/apparatus of load situation and ratings computational load rate; According to charging electric vehicle amount, distributed power source generated energy, system reserve reduction in assessment area, calculate power requirement variable quantity; According to electromagnetism/noise monitoring point, with time sequencing, add up electromagnetism/noise monitoring value; Intelligent terminal quantity in statistical estimation region; Distribution terminal information acquisition situation, intercommunication system coverage in statistical estimation region; According to all departments' operation flow statistical service intersection situation; According to all departments' information content and information type statistical information sharing situation; According to load curve analysis load curve characteristic, record load peak, valley, peak load duration; Statistics participates in number of users and the response electric weight of demand response; Counting user customization electric power type, quantity and satisfaction degree; As 130 of newly-increased indoor transformers, newly-increased power transformation capacity 307.8MWA, line loss per unit 5.7%, uninterrupted operation number of times 230 times, frequency of power cut is 1.1 times, wherein pre-arrangement has a power failure 0.4 time, fault outage 0.7 time, equipment total quantity 5149, carries out the number of devices 1029 of repair based on condition of component etc., and data pre-service result is sent to single index computing module;
3) single index computation process: calculate the average frequency of power cut of user, the average power off time of user, power failure electric weight accounting index according to the frequency of power cut of all types of user, interruption duration, stoppage in transit electric quantity data; According to stop transport electric weight and electricity price data of user, calculate loss of outage index; According to circuit attaching total volume and line sectionalizing number, calculate the average attaching capacity performance index of line sectionalizing; According to the direct power failure load number under connected switch disconnection of equipment, the statistics load that has a power failure is 0 number of devices and the ratio index of total number of devices; According to circuit/overhaul of the equipments number of stoppages computational scheme availability, equipment availability index; According to uninterrupted operation number of times, calculate uninterrupted operation accounting index; According to adopting the number of devices of repair based on condition of component to calculate repair based on condition of component coverage rate index; According to power grid asset, year delivery, maximum supply load, calculate maximum supply load index of Unit Assets delivery, Unit Assets year; According to maximum supply load and distribution total volume, obtain capacity-load ratio index; According to operation of power networks maintenance cost unit of account assets year operation and maintenance cost index; According to loss, calculate comprehensive line loss per unit index; According to equipment/line load situation, calculate economical operation drift rate, underloading equipment accounting index; According to charging electric vehicle amount, distributed power source generated energy, system reserve reduction, loss, calculate power requirement variable quantity, distributed power source generated energy accounting index, and calculate accordingly coal saving amount, oil saving amount, carbon dioxide emission reduction amount, sulphuric dioxide CER, oxides of nitrogen CER index; According to electromagnetism/noise monitoring point, monitor value, monitored area categorical data, calculate electric field intensity mean deviation, magnetic field intensity mean deviation, noise intensity mean deviation index; According to intelligent terminal quantity, distribution terminal information acquisition situation, intercommunication system coverage, calculate distribution terminal information acquisition rate, intelligent terminal coverage rate, intercommunication system coverage rate index; According to department service intersection situation, calculate cross business accounting index; According to department information, share situation and calculate department's information sharing index; According to load curve characteristics, calculate electrical network peak-valley ratio, peak load duration accounting index; Respond according to demand number of users and electric weight and calculate demand response user accounting index; According to customization electric power satisfaction degree, calculate electrical network service-user Satisfaction index; As the evaluation index value obtaining is, the average frequency of power cut index of user is 0.1, the average power off time index of user is 0.8, power failure electric weight accounting is 0.1, the average attaching capacity performance index of line sectionalizing is 9, and the equipment load that directly has a power failure under connected switch disconnection is that 0 number of devices is 100% with the ratio index of total number of devices, and circuit availability index is 99%, equipment availability desired value is 98%, and Calculation results is sent to overall target evaluation module;
4) data that overall target evaluation module sends according to single index computing module, the reliability of computational intelligence power distribution network, economy, spatter property, interactive index, then these 4 desired values add up, obtain characterizing the comprehensive assessment index of intelligent distribution network high efficiency, and according to " low, lower, in, higher, height " five grade output intelligent distribution network high efficiency assessment results.Such as the assessment result of reliability index is as follows: by the average frequency of power cut 0.1 of user, the average power off time 0.8 of user, power failure electric weight accounting 0.1, the average attaching capacity 9 of line sectionalizing, imaginary fault is power failure equipments accounting 100% not, circuit availability 99%, equipment availability 98%, uninterrupted operation accounting 20%, repair based on condition of component coverage rate 30%, calculating reliability index is 4.2704.In addition, if economic index is 3.9106, spatter property index is 1.2787, and interactive index is 2.5014, and high efficiency index is 4.3535, and high efficiency assessment result is " height ".
Claims (2)
1. a data processing method of intelligent distribution network high efficiency being assessed, is characterized in that the method specifically comprises that data pre-service, fundamental analysis, single index calculate, overall target is assessed four steps, and concrete steps are as follows:
1) data preprocessing module collection assessment information needed, comprise power grid construction and structural information, operation of power networks information, user dependability demand information, distributed power source capacity and operation information, electromagnetism-noise monitoring information, data of information system, power distribution network Workflow messages, user interaction information, above data are carried out to pre-service, and the data after processing are sent to fundamental analysis module;
2) data that fundamental analysis module is sent according to data preprocessing module, analyze as follows: according to reliability requirement type, user is classified, add up respectively frequency of power cut, power off time, stoppage in transit electric weight and the loss of outage of all types of user within the assessment period; The circuit of take is added up respectively capacity and the segments of each circuit as unit; Power failure load number when the direct connected switch of computing equipment is disconnection; Take assessment area as unit to assessment the period in all devices the number of stoppages, maintenance number of times add up; The assessment area of take adds up to the uninterrupted operation number of times of all devices, the number of devices of carrying out repair based on condition of component as unit; The original assets of electrical network in assessment area and annual new assets are added up and obtain electrical network total assets; According to annual gas load curve and load data, obtain maximum supply load, year delivery; According to network structure data and topology information, distribution capacity is added up and obtains the distribution capacity of electrical network according to supply path; According to critical point data statistics electric weight calculated difference, obtain electric energy loss; Take circuit-equipment as unit is based on load actual value and rated capacity computational load rate; Charging electric vehicle amount, distributed power source generated energy, system reserve reduction in assessment area are added up and obtain power requirement variable quantity; With electromagnetism-noise monitoring Dian Wei unit, according to time sequencing, electromagnetism/noise monitoring value is sorted; According to intelligent terminal quantity in data of information system statistical estimation region; Distribution terminal information acquisition situation, intercommunication system coverage in statistical estimation region; According to all departments' operation flow data statistics repeat in work situation; According to all departments' information content and information type statistics, share information content; According to load curve analysis load curve characteristic, record load peak, valley, peak load duration; Statistics participates in number of users and the response electric weight of demand response; Counting user customization electric power type, quantity and satisfaction degree; And data pre-service result is sent to single index computing module;
3) data that single index computing module sends according to fundamental analysis module, calculate as follows and analyze: according to data such as the frequency of power cut of all types of user, interruption duration, stoppage in transit electric weight, according to evaluation index definition, calculating the average frequency of power cut of user, the average power off time of user, power failure electric weight accounting index; According to stop transport electric weight and electricity price data of user, according to evaluation index definition, calculate loss of outage index; According to circuit attaching total volume and line sectionalizing number, according to evaluation index definition, calculate the average attaching capacity performance index of line sectionalizing; According to the direct power failure load number under connected switch disconnection of equipment, the statistics load that has a power failure is 0 number of devices and the ratio of total number of devices; According to circuit-overhaul of the equipments number of stoppages, according to evaluation index, define computational scheme availability, equipment availability index; According to uninterrupted operation number of times, according to evaluation index definition, calculate uninterrupted operation accounting index; According to adopting number of devices, the equipment total quantity of repair based on condition of component to calculate repair based on condition of component coverage rate index according to evaluation index definition; According to power grid asset, year delivery, maximum supply load, according to evaluation index definition, calculate maximum supply load index of Unit Assets delivery, Unit Assets year; According to maximum supply load and distribution total volume, according to evaluation index definition, obtain capacity-load ratio index; According to operation of power networks maintenance cost, according to evaluation index, define unit of account assets year operation and maintenance cost index; According to loss, according to evaluation index definition, calculate comprehensive line loss per unit index; According to equipment/line load situation, according to evaluation index definition, calculate economical operation drift rate, underloading equipment accounting index; According to charging electric vehicle amount, distributed power source generated energy, system reserve reduction, loss, according to evaluation index definition, calculate power requirement variable quantity and distributed power source generated energy accounting index, and according to evaluation index definition, calculate coal saving amount, oil saving amount, carbon dioxide emission reduction amount, sulphuric dioxide CER, oxides of nitrogen CER index accordingly; According to electromagnetism, noise monitoring point, monitor value, monitored area categorical data, according to evaluation index definition, calculate electric field intensity mean deviation, magnetic field intensity mean deviation, noise intensity mean deviation index; According to intelligent terminal quantity, distribution terminal information acquisition situation, intercommunication system coverage, according to evaluation index definition, calculate distribution terminal information acquisition rate, intelligent terminal coverage rate, intercommunication system coverage rate index; According to the department service situation of intersecting, according to evaluation index definition, calculate cross business accounting index; According to department information, share situation according to evaluation index definition calculating department information sharing index; According to load curve characteristics, according to evaluation index definition, calculate electrical network peak-valley ratio, peak load duration accounting index; Respond according to demand number of users and electric weight according to evaluation index definition computation requirement response user accounting index; According to customization electric power satisfaction degree, according to evaluation index definition, calculate electrical network service-user Satisfaction index; Above Calculation results is sent to overall target evaluation module;
4) data that overall target evaluation module sends according to single index computing module, according to the structure of evaluation index system, adopt the reliability, economy, spatter property of average weighted method computational intelligence power distribution network, interactive every overall target, then cumulative these 4 refer to target value, be weighted again the comprehensive assessment index that on average obtains characterizing intelligent distribution network high efficiency, and according to " low, lower, in, higher, height " five grade output intelligent distribution network high efficiency assessment results.
2. a kind of data processing method that intelligent distribution network high efficiency is assessed according to claim 1, is characterized in that data are carried out to pretreated method is: whether calibration voltage, electric current, electric weight, power overrate; Whether verification distributed power source is exerted oneself surpasses its max cap.; Whether verification electromagnetism-noise monitoring value is corresponding with monitoring point; According to operation of power networks data and on off state, check topological structure of electric; Verification intelligent electric meter is installed quantity and whether is surpassed user's total amount; Whether all kinds of reliability requirement users' of verification summation equals user's total amount; According to given data, to gathering the data of disappearance, supplement, data wrong or that surpass tolerance band are revised.
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