CN111461428A - Power grid load characteristic analysis method - Google Patents

Power grid load characteristic analysis method Download PDF

Info

Publication number
CN111461428A
CN111461428A CN202010243618.6A CN202010243618A CN111461428A CN 111461428 A CN111461428 A CN 111461428A CN 202010243618 A CN202010243618 A CN 202010243618A CN 111461428 A CN111461428 A CN 111461428A
Authority
CN
China
Prior art keywords
power
load
provincial
city
electricity
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202010243618.6A
Other languages
Chinese (zh)
Inventor
张莉娜
黄祖源
梅东晖
赵晓平
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Information Center of Yunnan Power Grid Co Ltd
Original Assignee
Information Center of Yunnan Power Grid Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Information Center of Yunnan Power Grid Co Ltd filed Critical Information Center of Yunnan Power Grid Co Ltd
Priority to CN202010243618.6A priority Critical patent/CN111461428A/en
Publication of CN111461428A publication Critical patent/CN111461428A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06Electricity, gas or water supply
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Abstract

The application discloses a power grid load characteristic analysis method which organically combines a big data technology and power grid load characteristic research, integrates multi-source data of a power grid dispatching, marketing and production system by using a big data platform, acquires provincial-level power data or city-level power data in a province, preprocesses the acquired power data, reduces the workload of manual data inspection and data entry, and improves the work efficiency of power grid planning design research. And calculating an annual social electricity load array and the total social electricity consumption by utilizing the preprocessed electric power data, then calculating a load parameter and an electricity consumption parameter, and finally analyzing the load characteristic of the power grid according to the load parameter and the electricity consumption parameter. The load parameter and power consumption parameter calculation process in the application is different from the prior art, more power grid data are adopted in the calculation process, and the calculated load parameter and power consumption parameter can be more comprehensive and accurate in power grid load characteristics, so that an effective basis is provided for power grid planning research and design.

Description

Power grid load characteristic analysis method
Technical Field
The application relates to the technical field of power grid planning, in particular to a power grid load characteristic analysis method.
Background
The grid load is the sum of the powers of all consumers connected to the grid system. The analysis and prediction of the load characteristics of the power grid are an important aspect of the analysis and prediction work of the power market, and the dynamic balance of the power grid in the power generation, power supply and power utilization processes can be ensured by accurately grasping the load characteristics of the power grid and the change trend of the load characteristics of the power grid, so that the smooth proceeding of production and life is ensured, meanwhile, the loss caused by system faults can be avoided, and an important data basis is provided for the well-done power planning, production, operation work and relevant policy making.
At present, a power grid load characteristic analysis method mainly collects relevant data of power grid load characteristics manually, then calculates the data by using a traditional database, and analyzes the power grid load characteristics by using a calculation result. In recent years, with the development of smart power grids, the basic data volume of power grid enterprise equipment is continuously increased, the related data of the power grid load characteristics are huge at present, and if the method is still adopted for power grid load characteristic analysis, the problems of low accuracy and poor efficiency of the analysis result are more and more prominent. Therefore, a method for analyzing the load characteristics of the power grid with high efficiency and high accuracy is urgently needed.
Disclosure of Invention
The application provides a power grid load characteristic analysis method, which aims to solve the problems of low efficiency and poor accuracy of the existing power grid load characteristic analysis method.
The application provides a power grid load characteristic analysis method, which is used for analyzing the power grid load characteristics of provincial levels or various city levels in the province, and is characterized by comprising the following steps:
integrating a multi-source database of a power grid dispatching, marketing and production system by using a big data platform to obtain provincial power data or various city power data in the province;
preprocessing collected provincial power data or provincial and urban power data;
acquiring a provincial annual total social electricity load array or an urban annual total social electricity load array by utilizing the preprocessed provincial power data or each urban power data in the provinces, wherein elements in the provincial annual total social electricity load array or the urban annual total social electricity load array are provincial social electricity loads or urban social electricity loads calculated at preset measuring time intervals;
acquiring a provincial grade electricity load special point value or a city grade electricity load special point value by utilizing a provincial grade whole-society electricity load array or a city grade whole-society electricity load array;
calculating a provincial load parameter or a city load parameter by using the special point value of the electric load;
calculating provincial power consumption or city power consumption of the whole society by using the preprocessed provincial power data or city power data;
calculating provincial electricity utilization parameters or city electricity utilization parameters according to the provincial whole-society electricity consumption or the city whole-society electricity consumption;
and analyzing the load characteristics of the provincial power grid or the city power grid according to the provincial load parameters and the provincial power utilization parameters or the city power utilization parameters and the city power utilization parameters.
Optionally, the provincial power data includes power output of all-provincial voltage levels, direct-current output power, line loss power of each voltage level, power generation amount of all-provincial voltage levels, direct-current output power and line loss power of each voltage level;
the provincial electric power data of each city comprises power output of 110kVA and below power supplies in the city, power output of 220kVA main transformers in the city, power output of 220kVA direct supply large users in the city, power output of 220kVA self-supply power plants in the city, line loss power of 220kVA and above, power generation amount of 110kVA and below power supplies in the city, power output of 220kVA main transformers in the city, power consumption of 220kVA direct supply large users in the city, power generation amount of 220kVA self-supply power plants in the city, line loss power of 220kVA and above and power consumption of thermal power plants.
Optionally, the calculation formula of the provincial level social electrical load is as follows: the provincial society electrical load is the output of all voltage class power supplies in the whole province, namely the direct current output power and the line loss power of each voltage class;
the calculation formula of the urban social electricity load is as follows: the electric load of the city-level society is 110kVA and below power supply output of the city + 220kVA main transformer power on and off the grid + 220kVA of the city directly supplies large users power on off the grid + 220kVA of the city self-prepared power plant output + 220kVA of the city and above line loss power.
Optionally, the provincial electricity load special point value comprises a provincial annual electricity load maximum value, a provincial monthly average electricity load, a provincial typical daily average electricity load and a provincial monthly maximum electricity load average value, wherein the provincial annual electricity load maximum value is the maximum value of all provincial social electricity loads, the provincial monthly average electricity load is the average value of monthly provincial social electricity loads, the typical daily average electricity load is the maximum value of the monthly provincial social electricity loads, and the provincial monthly maximum electricity load average value is the average value of the maximum values of the monthly provincial social electricity loads;
the city-level electric load special point values comprise a city-level annual electric load maximum value, a city-level monthly average electric load, a city-level typical daily average electric load and a city-level monthly maximum electric load average value, wherein the city-level annual electric load maximum value is the maximum value of all the city-level social electric loads, the city-level monthly average electric load is the average value of the monthly city-level social electric loads, the typical daily average electric load is the maximum value of the monthly city-level social electric loads, and the city-level monthly maximum electric load average value is the average value of the maximum values of the monthly city-level social electric loads.
Optionally, the provincial load parameters include a provincial annual maximum power load, a provincial monthly unbalance coefficient and a provincial seasonal unbalance coefficient, wherein,
the maximum power load calculation formula of the provincial year is as follows: the maximum provincial annual power load is equal to the maximum provincial annual power load;
the provincial moon imbalance coefficient calculation formula is as follows: the provincial monthly unbalance coefficient is equal to provincial monthly average power load/provincial typical daily average power load;
the provincial season unbalance coefficient calculation formula is as follows: the provincial season unbalance coefficient is equal to the provincial monthly maximum power load average value/provincial annual power load maximum value;
the city-level load parameters comprise a city-level annual maximum power load, a city-level monthly unbalance coefficient and a city-level seasonal unbalance coefficient, wherein,
the calculation formula of the maximum electricity load in the city grade year is as follows: the maximum power load of the city grade year is the maximum value of the city grade annual power load;
the city-level monthly unbalance coefficient calculation formula is as follows: the city-level monthly unbalance coefficient is equal to the city-level monthly average power load/the city-level typical daily average power load;
the urban season unbalance coefficient calculation formula is as follows: the urban season unbalance coefficient is the average value of the urban monthly maximum power load/the maximum value of the urban annual power load.
Optionally, the calculation formula of the provincial level total social power consumption is as follows: the provincial and global power consumption is the power generation capacity of the power supply with all voltage levels in the whole province, the direct current output power and the line loss power of each voltage level;
the calculation formula of the city-level whole-society electricity consumption is as follows: the power consumption of the city-level whole society is 110kVA power generation capacity and below, 220kVA main transformer power supply and grid power supply, 220kVA direct supply large user power consumption, 220kVA self-provided power plant power generation capacity, 220kVA and above line loss power plus thermal power plant power consumption.
Optionally, the provincial electricity utilization parameters comprise provincial line loss electricity quantity and provincial maximum load utilization hours, wherein,
the provincial line loss electricity quantity calculation formula is that the provincial line loss electricity quantity is the provincial whole-society electricity consumption × line loss rate,
the provincial maximum load utilization hour number calculation formula is as follows: the number of hours of using the provincial maximum load is the maximum of provincial electricity consumption of the whole society/provincial annual electricity load;
the city-level power consumption of the whole society comprises city-level line loss power and city-level maximum load utilization hours, wherein,
the city-level line loss electricity quantity calculation formula is that the city-level line loss electricity quantity is the city-level whole social electricity consumption × line loss rate,
the calculation formula of the market-level maximum load utilization hours is as follows: the utilization hours of the maximum load in the city level is the maximum value of the electricity consumption of the whole society in the city level/the electricity load of the whole year in the city level.
Optionally, the preprocessing the collected provincial power data or each city power data in the provincial power comprises cleaning.
Optionally, the preset measurement time is 15 min.
The application provides a power grid load characteristic analysis method, which organically combines a big data technology and power grid load characteristic research, integrates multi-source data of a power grid dispatching, marketing and production system by using a big data platform, acquires provincial-level power data or city-level power data in a province, preprocesses the acquired power data, reduces the workload of manual data inspection and data entry, and improves the work efficiency of power grid planning design research. And calculating an annual social electricity load array and the total social electricity consumption by utilizing the preprocessed electric power data, then calculating a load parameter and an electricity consumption parameter, and finally analyzing the load characteristic of the power grid according to the load parameter and the electricity consumption parameter. The load parameter and power consumption parameter calculation process in the application is different from the prior art, more power grid data are adopted in the calculation process, and the calculated load parameter and power consumption parameter can be more comprehensive and accurate in power grid load characteristics, so that an effective basis is provided for power grid planning research and design.
Drawings
In order to more clearly explain the technical solution of the present application, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious to those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart of a power grid load characteristic analysis method according to the present application.
Detailed Description
The application provides a power grid load characteristic analysis method which is used for analyzing power grid load characteristics of provincial levels or city levels in the province. Fig. 1 is a flowchart of a power grid load characteristic analysis method according to the present application, and as shown in fig. 1, the power grid load characteristic analysis method includes:
and S100, integrating a multi-source database of a power grid dispatching, marketing and production system by using a big data platform to obtain provincial power data or various city power data in the province.
In this example, the provincial power data includes the output of the power supply of all voltage classes in the province, the dc output power, the line loss power of each voltage class, the power generation amount of the power supply of all voltage classes in the province, the dc output power amount, and the line loss power amount of each voltage class.
The provincial electric power data of each city comprises power output of 110kVA and below power supplies in the city, power output of 220kVA main transformers in the city, power output of 220kVA direct supply large users in the city, power output of 220kVA self-supply power plants in the city, line loss power of 220kVA and above, power generation amount of 110kVA and below power supplies in the city, power output of 220kVA main transformers in the city, power consumption of 220kVA direct supply large users in the city, power generation amount of 220kVA self-supply power plants in the city, line loss power of 220kVA and above and power consumption of thermal power plants.
And step S200, preprocessing the collected provincial power data or each city power data in the province.
In this example, the preprocessing the collected provincial power data or each city power data in the provincial power includes cleaning the collected provincial power data or each city power data in the provincial power or each city power data in the city power. It should be noted that the data cleaning process is a common technique in the art, and details of a specific implementation method thereof are not described herein.
And step S300, acquiring a provincial grade whole social electricity load array or an urban grade whole social electricity load array by utilizing the preprocessed provincial grade electricity data or urban grade electricity data, wherein elements in the provincial grade whole social electricity load array or the urban grade whole social electricity load array are provincial grade social electricity loads or urban grade social electricity loads calculated at preset measuring time intervals.
It should be noted that, the technology in the art may select an appropriate preset measurement time according to actual needs, for example, the preset measurement time is 15min, and then every 15min, one provincial social power load or city social power load is calculated, and all the calculated provincial social power loads or city social power loads are integrated into a provincial annual global power load array or a city annual global power load array.
In this example, the calculation formula of the provincial social electrical load is as follows: the provincial society electrical load is the output of all voltage class power supplies in the whole province, namely the direct current output power and the line loss power of each voltage class;
the calculation formula of the electricity load of the city-level society is as follows: the electric load of the city-level society is 110kVA and below power supply output of the city + 220kVA main transformer power on and off the grid + 220kVA of the city directly supplies large users power on off the grid + 220kVA of the city self-prepared power plant output + 220kVA of the city and above line loss power.
And S400, acquiring a provincial grade electricity load special point value or a city grade electricity load special point value by using the provincial grade whole social electricity load array or the city grade whole social electricity load array.
In this example, the provincial electricity load special point value includes a provincial annual electricity load maximum value, a provincial monthly average electricity load, a provincial typical daily average electricity load, and a provincial monthly maximum electricity load average value, wherein the provincial annual electricity load maximum value is a maximum value of all provincial social electricity loads, the provincial monthly average electricity load is an average value of monthly provincial social electricity loads, the typical daily average electricity load is a maximum value of the monthly provincial social electricity loads, and the provincial monthly maximum electricity load average value is an average value of the maximum values of the monthly provincial social electricity loads;
the city-level electric load special point value comprises a city-level annual electric load maximum value, a city-level monthly average electric load, a city-level typical daily average electric load and a city-level monthly maximum electric load average value, wherein the city-level annual electric load maximum value is the maximum value of all the city-level social electric loads, the city-level monthly average electric load is the average value of the monthly city-level social electric loads, the typical daily average electric load is the maximum value of the monthly city-level social electric loads, and the city-level monthly maximum electric load average value is the average value of the maximum values of the monthly city-level social electric loads.
And S500, calculating a provincial load parameter or a city load parameter by using the special point value of the electric load.
In this example, the provincial load parameters include a provincial annual maximum power load, a provincial monthly imbalance coefficient, and a provincial seasonal imbalance coefficient. The maximum power load calculation formula of the provincial year is as follows: the maximum annual provincial power load is equal to the maximum annual provincial power load. The provincial moon imbalance coefficient calculation formula is as follows: the provincial month unbalance coefficient is the provincial month average power load/provincial typical daily average power load. The provincial season unbalance coefficient calculation formula is as follows: and the imbalance coefficient in the provincial season is equal to the average value of the provincial monthly maximum electric load/the maximum value of the provincial annual electric load.
The city-level load parameters comprise the city-level annual maximum power load, the city-level monthly unbalance coefficient and the city-level seasonal unbalance coefficient. The calculation formula of the maximum power load in the city grade year is as follows: the maximum power load of the city grade year is the maximum value of the city grade annual power load. The city-level monthly unbalance coefficient calculation formula is as follows: the city-level monthly unbalance coefficient is the average electricity load of the city-level monthly/the average electricity load of the city-level typical daily. The urban season unbalance coefficient calculation formula is as follows: the urban season unbalance coefficient is the average value of the urban monthly maximum power load/the maximum value of the urban annual power load.
And step S600, calculating provincial total social electricity consumption or city total social electricity consumption by utilizing the preprocessed provincial electricity data or city electricity data.
In this example, the formula for calculating provincial-level global electricity consumption is as follows: the provincial and global power consumption is the power generation capacity of the power supply with all voltage levels in the whole province, the direct current output power and the line loss power of each voltage level;
the formula for calculating the electricity consumption of the city-level whole society is as follows: the power consumption of the city-level whole society is 110kVA power generation capacity and below, 220kVA main transformer power supply and grid power supply, 220kVA direct supply large user power consumption, 220kVA self-provided power plant power generation capacity, 220kVA and above line loss power plus thermal power plant power consumption.
And step S700, calculating provincial electricity utilization parameters or city electricity utilization parameters according to provincial whole-society electricity consumption or city whole-society electricity consumption.
In the example, the provincial electricity consumption parameters comprise provincial line loss electricity and provincial maximum load utilization hours, wherein the provincial line loss electricity is calculated according to the formula of × line loss rate of provincial total social electricity consumption, and the provincial maximum load utilization hours is calculated according to the formula of the provincial maximum load utilization hours, namely the provincial total social electricity consumption/the provincial maximum annual electricity load;
the city-level total social electricity consumption comprises city-level line electricity loss and city-level maximum load utilization hours, wherein the city-level line electricity loss is calculated according to a formula of × line loss rate, and the city-level maximum load utilization hours is calculated according to a formula of city-level maximum load utilization hours/city-level total annual electricity consumption maximum.
And step S800, analyzing the load characteristics of the provincial power grid or the city power grid according to the provincial load parameters and the provincial power utilization parameters or the city power utilization parameters and the city power utilization parameters. It should be noted that analyzing the load characteristics of the power grid according to the load parameters and the power consumption parameters is common knowledge in the art, and details of a specific implementation method thereof are not described herein.
The application provides a power grid load characteristic analysis method, which organically combines a big data technology and power grid load characteristic research, integrates multi-source data of a power grid dispatching, marketing and production system by using a big data platform, acquires provincial-level power data or city-level power data in a province, preprocesses the acquired power data, reduces the workload of manual data inspection and data entry, and improves the work efficiency of power grid planning design research. And calculating an annual social electricity load array and the total social electricity consumption by utilizing the preprocessed electric power data, then calculating a load parameter and an electricity consumption parameter, and finally analyzing the load characteristic of the power grid according to the load parameter and the electricity consumption parameter. The load parameter and power consumption parameter calculation process in the application is different from the prior art, more power grid data are adopted in the calculation process, and the calculated load parameter and power consumption parameter can be more comprehensive and accurate in power grid load characteristics, so that an effective basis is provided for power grid planning research and design.
The above-described embodiments of the present application do not limit the scope of the present application.

Claims (9)

1. A power grid load characteristic analysis method is used for analyzing power grid load characteristics of provincial levels or city levels in the provinces, and is characterized by comprising the following steps:
integrating a multi-source database of a power grid dispatching, marketing and production system by using a big data platform to obtain provincial power data or various city power data in the province;
preprocessing collected provincial power data or provincial and urban power data;
acquiring a provincial annual total social electricity load array or an urban annual total social electricity load array by utilizing the preprocessed provincial power data or each urban power data in the provinces, wherein elements in the provincial annual total social electricity load array or the urban annual total social electricity load array are provincial social electricity loads or urban social electricity loads calculated at preset measuring time intervals;
acquiring a provincial grade electricity load special point value or a city grade electricity load special point value by utilizing a provincial grade whole-society electricity load array or a city grade whole-society electricity load array;
calculating a provincial load parameter or a city load parameter by using the special point value of the electric load;
calculating provincial power consumption or city power consumption of the whole society by using the preprocessed provincial power data or city power data;
calculating provincial electricity utilization parameters or city electricity utilization parameters according to the provincial whole-society electricity consumption or the city whole-society electricity consumption;
and analyzing the load characteristics of the provincial power grid or the city power grid according to the provincial load parameters and the provincial power utilization parameters or the city power utilization parameters and the city power utilization parameters.
2. The grid load characteristic analysis method according to claim 1, wherein the provincial power data includes full-provincial full-voltage-class power output, direct-current output power, line loss power of each voltage class, full-provincial full-voltage-class power generation amount, direct-current output power, and line loss power of each voltage class;
the provincial electric power data of each city comprises power output of 110kVA and below power supplies in the city, power output of 220kVA main transformers in the city, power output of 220kVA direct supply large users in the city, power output of 220kVA self-supply power plants in the city, line loss power of 220kVA and above, power generation amount of 110kVA and below power supplies in the city, power output of 220kVA main transformers in the city, power consumption of 220kVA direct supply large users in the city, power generation amount of 220kVA self-supply power plants in the city, line loss power of 220kVA and above and power consumption of thermal power plants.
3. The grid load characteristic analysis method according to claim 2,
the calculation formula of the provincial level social electricity load is as follows: the provincial society electrical load is the output of all voltage class power supplies in the whole province, namely the direct current output power and the line loss power of each voltage class;
the calculation formula of the urban social electricity load is as follows: the electric load of the city-level society is 110kVA and below power supply output of the city + 220kVA main transformer power on and off the grid + 220kVA of the city directly supplies large users power on off the grid + 220kVA of the city self-prepared power plant output + 220kVA of the city and above line loss power.
4. The grid load characteristic analysis method according to claim 1,
the provincial electricity load special point value comprises a provincial annual electricity load maximum value, a provincial monthly average electricity load, a provincial typical daily average electricity load and a provincial monthly maximum electricity load average value, wherein the provincial annual electricity load maximum value is the maximum value of all provincial social electricity loads, the provincial monthly average electricity load is the monthly provincial social electricity load average value, the typical daily average electricity load is the monthly maximum value of the provincial social electricity loads, and the provincial monthly maximum electricity load average value is the monthly maximum value of the provincial social electricity loads;
the city-level electric load special point values comprise a city-level annual electric load maximum value, a city-level monthly average electric load, a city-level typical daily average electric load and a city-level monthly maximum electric load average value, wherein the city-level annual electric load maximum value is the maximum value of all the city-level social electric loads, the city-level monthly average electric load is the average value of the monthly city-level social electric loads, the typical daily average electric load is the maximum value of the monthly city-level social electric loads, and the city-level monthly maximum electric load average value is the average value of the maximum values of the monthly city-level social electric loads.
5. The grid load characteristic analysis method according to claim 4, wherein the provincial load parameters comprise a provincial annual maximum power load, a provincial monthly unbalance coefficient and a provincial seasonal unbalance coefficient, wherein,
the maximum power load calculation formula of the provincial year is as follows: the maximum provincial annual power load is equal to the maximum provincial annual power load;
the provincial moon imbalance coefficient calculation formula is as follows: the provincial monthly unbalance coefficient is equal to provincial monthly average power load/provincial typical daily average power load;
the provincial season unbalance coefficient calculation formula is as follows: the provincial season unbalance coefficient is equal to the provincial monthly maximum power load average value/provincial annual power load maximum value;
the city-level load parameters comprise a city-level annual maximum power load, a city-level monthly unbalance coefficient and a city-level seasonal unbalance coefficient, wherein,
the calculation formula of the maximum electricity load in the city grade year is as follows: the maximum power load of the city grade year is the maximum value of the city grade annual power load;
the city-level monthly unbalance coefficient calculation formula is as follows: the city-level monthly unbalance coefficient is equal to the city-level monthly average power load/the city-level typical daily average power load;
the urban season unbalance coefficient calculation formula is as follows: the urban season unbalance coefficient is the average value of the urban monthly maximum power load/the maximum value of the urban annual power load.
6. The grid load characteristic analysis method according to claim 5,
the calculation formula of provincial level whole society electricity consumption is as follows: the provincial and global power consumption is the power generation capacity of the power supply with all voltage levels in the whole province, the direct current output power and the line loss power of each voltage level;
the calculation formula of the city-level whole-society electricity consumption is as follows: the power consumption of the city-level whole society is 110kVA power generation capacity and below, 220kVA main transformer power supply and grid power supply, 220kVA direct supply large user power consumption, 220kVA self-provided power plant power generation capacity, 220kVA and above line loss power plus thermal power plant power consumption.
7. The grid load characteristic analysis method according to claim 6,
the provincial electricity utilization parameters comprise provincial line loss electricity quantity and provincial maximum load utilization hours, wherein,
the provincial line loss electricity quantity calculation formula is that the provincial line loss electricity quantity is the provincial whole-society electricity consumption × line loss rate,
the provincial maximum load utilization hour number calculation formula is as follows: the number of hours of using the provincial maximum load is the maximum of provincial electricity consumption of the whole society/provincial annual electricity load;
the city-level power consumption of the whole society comprises city-level line loss power and city-level maximum load utilization hours, wherein,
the city-level line loss electricity quantity calculation formula is that the city-level line loss electricity quantity is the city-level whole social electricity consumption × line loss rate,
the calculation formula of the market-level maximum load utilization hours is as follows: the utilization hours of the maximum load in the city level is the maximum value of the electricity consumption of the whole society in the city level/the electricity load of the whole year in the city level.
8. The method for analyzing the load characteristics of the power grid according to claim 1, wherein the preprocessing of the collected provincial power data or the provincial and urban power data comprises cleaning of error data and missing data in the collected provincial power data or the urban power data.
9. The grid load characteristic analysis method according to claim 1, wherein the preset measurement time is 15 min.
CN202010243618.6A 2020-03-31 2020-03-31 Power grid load characteristic analysis method Pending CN111461428A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010243618.6A CN111461428A (en) 2020-03-31 2020-03-31 Power grid load characteristic analysis method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010243618.6A CN111461428A (en) 2020-03-31 2020-03-31 Power grid load characteristic analysis method

Publications (1)

Publication Number Publication Date
CN111461428A true CN111461428A (en) 2020-07-28

Family

ID=71683467

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010243618.6A Pending CN111461428A (en) 2020-03-31 2020-03-31 Power grid load characteristic analysis method

Country Status (1)

Country Link
CN (1) CN111461428A (en)

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107292413A (en) * 2016-04-10 2017-10-24 国网山东省电力公司经济技术研究院 Electric load analysing and predicting system based on big data and information fusion
CN109408548A (en) * 2018-09-19 2019-03-01 中国电力科学研究院有限公司 A kind of urban electric power big data application system and method

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107292413A (en) * 2016-04-10 2017-10-24 国网山东省电力公司经济技术研究院 Electric load analysing and predicting system based on big data and information fusion
CN109408548A (en) * 2018-09-19 2019-03-01 中国电力科学研究院有限公司 A kind of urban electric power big data application system and method

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
阿同别克等: ""新疆某地区电网负荷特性分析"", 《科技创新导报》 *
韦亦龙: ""电力需求预测及负荷特性分析系统的设计与实现"", 《中国优秀博硕士学位论文全文数据库(硕士)工程科技Ⅱ辑》 *

Similar Documents

Publication Publication Date Title
CN105762792A (en) Household average distribution transform capacity configuration method based on user behaviors
CN113224756B (en) Method applied to photovoltaic building integrated optimal installed capacity measurement and calculation
Carneiro et al. Static load modeling based on field measurements
CN107977898B (en) Generated energy insurance pricing evaluation method of photovoltaic power station
CN111398859B (en) User low-voltage cause big data analysis method and system
JP2006011715A (en) Estimation method for resource consumption, and device
Wang et al. A two-step load disaggregation algorithm for quasi-static time-series analysis on actual distribution feeders
CN101771275A (en) Electric energy monitoring system
CN111859279A (en) Method and device for evaluating transformer area regulation and control capacity of new energy equipment at client side
KR101783252B1 (en) Apparatus and method for supporting to collect demand resource of electric consumer in micro-grid
CN111708987B (en) Method for predicting load of multiple parallel transformers of transformer substation
CN110969478A (en) Method for multidimensional improvement of energy storage value under new energy high-permeability background
CN109802436A (en) The power grid controlling device configuration method of distributed plesiochronous power grid measuring system
CN111861136B (en) Method for calculating station area line loss rate evaluation benchmarking value
CN113112136A (en) Comprehensive evaluation method and system for reliability of power distribution network
CN201332267Y (en) Electric energy monitoring system
CN105391051A (en) Intelligent substation energy efficiency enhancement transformation energy saving amount calculation method
CN103048535A (en) Systems and methods for adaptive possible power determination in power generating systems
CN116937562A (en) Power quality prediction method and device for distributed photovoltaic access and power system
CN111463784A (en) Method for predicting spontaneous self-use comprehensive electricity price of distributed photovoltaic power station and related components
CN111461428A (en) Power grid load characteristic analysis method
CN116756506A (en) Regional cable network carbon emission detection method, system, device and storage medium
CN116882112A (en) Medium-low voltage direct current power distribution network construction planning analysis system
CN115577994A (en) Electricity and carbon management method and system based on power dispatching platform
CN116167644A (en) Evaluation index method for novel zero-carbon power system at distribution network side

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20200728