CN117592723A - Electric power energy efficiency improving system and method based on average electricity price - Google Patents

Abstract

The invention relates to the technical field of electric power efficiency improvement, in particular to an electric power efficiency improvement system and an electric power efficiency improvement method based on average electricity price.

Description

Electric power energy efficiency improving system and method based on average electricity price

Technical Field

The invention relates to a system and a method for improving electric power efficiency, in particular to a system and a method for improving electric power efficiency based on average electricity price.

Background

At present, many enterprises have the problems of backward productivity, excessive energy consumption, higher average electricity price and the like, and the enterprises are in urgent need of energy-saving transformation. Along with the gradual establishment of the electric power trade market, the electric power system reforms continuously, but the electric power efficiency test and evaluation work of China is less developed and has slower progress for a long time. The existing power efficiency evaluation work is only suitable for a single electric equipment, is very little developed for the overall power efficiency evaluation work of power users, particularly large power users (refer to power users with large power consumption and adopting special line power supply), is easily influenced by artificial factors and has large errors, and cannot take the factors such as a power operation mode, load distribution, power factors, peak-valley time sharing and basic power charge charging mode of the users into consideration, so that the fine management and power service of the power users cannot be realized.

The project relates to the field of energy service, and researches a method and a system for improving electric energy efficiency based on average electricity price, wherein the method comprises the steps of obtaining electricity data of all electric power users in an area, dividing the electric power users into different types, and calculating the average value of electric quantity electricity charge, power adjustment electricity charge, basic electricity charge, electricity consumption in each period, equipment load and variable loss electricity quantity of all the electric power users in each type; selecting power users deviating from the average value, analyzing the power consumption condition, and proposing power consumption suggestions to the power users deviating from the average value according to the analysis result; the system comprises a data acquisition module, an average value calculation module, an abnormal user screening module and an analysis module. The project realizes the analysis of the electricity utilization behavior of different types of power users and provides reasonable electricity utilization suggestions by calculating the average value of multiple aspects of the power users and comparing the average value with the average value of all the users of the type, realizes the fine management of the users, provides high-quality electricity utilization service, saves energy and reduces emission of power enterprises, and improves the utilization efficiency of electric power energy.

Disclosure of Invention

Aiming at the defects of the prior art, the invention provides a system and a method for improving the electric power efficiency based on average electricity price.

In order to solve the technical problems, the invention provides the following technical scheme:

An electric power energy efficiency improving method based on average electricity price comprises the following steps:

s1: acquiring electricity utilization data of all power users in the area;

s2: selecting power consumers from various types, which deviate from the average value of the electric quantity and the electric charge;

s3: specific electricity utilization suggestions are given.

As a preferable technical scheme of the invention, after the electricity utilization data of the power users in the specific area are obtained, the power users are divided into different types, and the average value of the electric quantity and the electricity charge of all the power users in each type is calculated.

As a preferable technical scheme of the invention, after the power users deviating from the electric quantity and electricity charge are selected, the average value of the electric quantity and electricity charge of the power users is analyzed to obtain an analysis result, and a proper electricity use suggestion is provided for the power users deviating from the average value of the electric quantity and electricity charge according to the obtained analysis result.

As a preferred technical scheme of the invention, specific electricity utilization proposals are as follows: establishing a target evaluation function of a power user deviating from the average value of the electric quantity and the electric charge, and providing an electric consumption adjustment suggestion according to the electric consumption condition when the value of the target evaluation function is minimum;

wherein, the objective evaluation function F is:

as a preferred embodiment of the present invention, the objective function is as follows: n represents the total number of time periods, represents the electric quantity and electricity charge of the ith time period of the electric power user deviating from the average value of the electric quantity and electricity charge, represents the average value of the ith time period of the electric quantity and electricity charge of all the electric power users, and represents a time period adjustment coefficient; the power charge on the j th day of the power consumer, which is deviated from the average value of the power charge, is the average value of the power charges on the j th day of all the power consumers, and m is the total number of days and is the number of days adjustment coefficient.

As a preferable embodiment of the present invention, in the objective function formula, the period adjustment coefficient and the number of days adjustment coefficient satisfy:

as a preferable technical scheme of the invention, the electric power efficiency improving system based on average electricity price comprises a data acquisition module, an average value calculation module, an abnormal user screening module and an analysis module;

the data acquisition module acquires electricity consumption data of all power users in the area and transmits the electricity consumption data to the average value calculation module and the abnormal user screening module;

the average value calculation module divides the power users into different types, calculates the average value of the electric quantity and electricity charge of all the power users in each type and transmits the average value to the abnormal user screening module;

the abnormal user screening module selects power users deviating from the average value of the electric quantity and electricity charge from each type, and transmits the power users deviating from the average value of the electric quantity and electricity charge to the analysis module;

and the analysis module analyzes the electricity consumption condition of the power user deviating from the average value of the electric quantity and the electric charge to obtain an analysis result, and proposes an electricity consumption suggestion for the power user deviating from the average value of the electric quantity and the electric charge according to the analysis result.

The embodiment of the invention provides a system and a method for improving electric power efficiency based on average electricity price, which have the following beneficial effects:

the project uses the idea of average electricity price, which is cut in from six aspects of electricity charge, power adjustment electricity charge, basic electricity charge, electricity consumption in each period, equipment load and variable electricity consumption of the electric power users, calculates the average value of the six aspects respectively, compares the average value with the average value of all users of the same type to realize analysis of electricity consumption behaviors of the electric power users in different industry types, proposes reasonable electricity utilization advice on the basis, realizes fine management of the users, provides high-quality electricity utilization service, saves energy and reduces emission of power enterprises, and improves the utilization efficiency of electric power energy sources.

Drawings

The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:

FIG. 1 is a flow chart of the lift method of the present invention;

fig. 2 is a block diagram of a lifting system according to the present invention.

Detailed Description

The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.

Embodiment one: as shown in fig. 1, an electric power efficiency improving method based on average electricity price includes the following steps:

s1: and acquiring power consumption data of all power consumers in the area, classifying the power consumers into different types, and calculating the average value of the electric quantity and electricity charge of all the power consumers in each type. The electric quantity and electricity charge refers to the electricity charge of a user for bearing a part of the power production cost with varying cost.

The power consumers are classified into different types, specifically: the electric power users are divided into three layers of an industrial layer, a commercial layer, a residential community and an agricultural production layer according to the industrial structure, and each layer is further divided into different types according to the industrial type. The three layers are specifically as follows:

the third layer is the business layer, and comprises the following types: real estate, business, financial and residential service, postal, transportation and warehousing, public utilities and management organizations, computer service, information transmission, software service, catering and commercial accommodation, construction;

the second layer is the industrial layer, and comprises the following types: rubber and plastic products, food, beverage and tobacco manufacturing, mining, chemical and chemical raw materials manufacturing, electronic and electrical equipment manufacturing and transportation, metal products, furniture and wood processing, textile, paper and paper manufacturing, general and special equipment manufacturing, non-metallic minerals, artwork and other manufacturing, literature manufacturing, nonferrous metals smelting and calendaring, printing and recording media replication, ferrous metals smelting and calendaring, water, electricity and gas production and supply, medical manufacturing, waste and waste material recovery and processing, shoe and cap clothing, down leather and products, chemical fiber manufacturing, coking, nuclear fuel processing and petroleum processing;

The first layer is the residential community and the agricultural production layer, and comprises the following types: urban and rural residents use electricity for life and agricultural production.

The energy saving potential of the industrial user is maximum, and the maximum ratio of the electricity consumption of the industrial user in various industries of society is considered, so that in the embodiment, the industrial user is firstly improved, optimized and energy efficiency is improved.

Average current month electricity price of each industry (71 industries) = (current month electricity fee 1 of client 1+current month electricity fee 2 of client 2+current month electricity fee 3 of client 3+ … client n current month electricity fee n)/(current month electricity fee 1 of client 1+current month electricity fee 2 of client 2+current month electricity fee n of … client n), total current month electricity fee sum of each industry is divided by total current month electricity consumption sum of each industry, namely average current month electricity fee of each industry, weighted average method;

average electricity price of a certain customer in month= (electricity charge of the customer in month)/(electricity quantity of the customer in month).

S2: and selecting the power users deviating from the average value of the electric quantity and the electric charge from each type, and analyzing the power consumption condition of the power users deviating from the average value of the electric quantity and the electric charge to obtain an analysis result. And analyzing the electricity consumption condition of the power consumer deviating from the average value of the electric quantity and the electric charge, including analyzing the electricity consumption, paying the electric charge, the electric charge composition condition, the proportion of each part of the electric charge and the like. The users with larger average levels deviating from the industry are focused on and in-depth analysis is carried out, the electricity utilization behaviors of the users are unreasonable, illegal electricity utilization or other risks possibly exist, and the risks can be rapidly eliminated by focusing on the users. The analysis of the electricity consumption behavior of the user is the basis of the research of the electricity consumption big data, and the mining and analysis of the electricity consumption mode of the power user are beneficial to controlling the constitution of the electricity consumption group and the electricity consumption characteristic thereof, and are key factors for identifying the influence of the electricity consumption.

S2-1: abnormal average electricity price of a certain customer in month= (average electricity price of the customer in month of the industry to which the customer belongs-average electricity price of the customer in month)/average electricity price of the customer in month of the industry to which the customer belongs is 100% >20%.

When abnormal users are screened, the average electricity price of the users in the month can be checked by the following method:

1. technical scheme for checking abnormal average electricity price of user in month caused by abnormal power factor

And (3) checking and analyzing the key points: (1) selecting a power factor charging mode as 'unaccounted for'; (2) power factor checking standard setting errors; (3) the meter reactive checking is incorrect; (4) The transformer capacity is larger than 100kVA, and no power factor assessment is performed; (5) The executive force calling user has no reactive power total indication or the reactive power quantity is zero.

Data source and fetch field: (1) data source: the marketing business application system (2) takes the number field: units, household numbers, household names, year, month, and type of abnormality, and abnormal matters.

The checking and analyzing method comprises the following steps: (1) Screening users with abnormal average electricity prices in the marketing business application system, and checking whether the users are in-place or not according to contract capacity and electricity utilization properties of the users with abnormal average electricity prices; (2) Inquiring whether a user with abnormal average electricity price records reactive power quantity and reverse reactive power quantity, and checking whether the user records data manually; (3) And verifying whether the reactive reverse total codes of the users with abnormal gateway-linked average electricity prices on the distributed photovoltaic residual electricity are deleted or not, and whether the users with abnormal average electricity prices participate in calculation of the electricity rate and electricity charge of the users.

2. Technical scheme for checking average electricity price abnormality of current month of user with average electricity price abnormality caused by wrong execution of industry drainage and irrigation electricity price

Checking analysis rules: the electricity utilization and execution of irrigation and drainage of agricultural production electricity prices, agricultural production, forest cultivation and planting, animal husbandry, fishery, agricultural product primary processing and the like are accurately executed according to regulations, and the agricultural irrigation and drainage electricity prices with the electricity consumption exceeding 1000 kilowatt hours per month or off-season are checked in an important way (the electricity quantity threshold value is required to be adjusted according to the actual conditions of each province).

And (3) checking and analyzing the key points: (1) Other property electricity is mixed with agricultural irrigation and drainage electricity, and metering or fixed ratio and quantification are not performed; (2) The actual electricity utilization property of the user site with abnormal average electricity price changes, and the agricultural irrigation and drainage electricity price is not adjusted in time; (3) The user with abnormal average electricity price and abnormal average electricity price supplies power by self-rotation, and belongs to illegal electricity consumption; (4) When the electricity price verification is carried out, the electricity price verification error is reported, and the deviation between the later-period correction quantity verification value and the actual value is larger.

Data source and fetch field: (1) data source: marketing business application system and auditing system; (2) fetch field: the power supply unit, the household number, the household name and the agricultural irrigation and drainage electric quantity are continuously operated for a plurality of months for a duration of more than 3000 kilowatt hours and a month electric quantity.

The checking and analyzing method comprises the following steps: and (5) checking the area where the electricity price of agricultural production is lower than the electricity price of industry and commerce. The system refers to a user list for executing the abnormal average electricity price of the agricultural production electricity price and the agricultural irrigation electricity price, and comprehensively performs online and on-site inspection. And (3) checking the average power price of the agricultural large electric quantity of the users with abnormal average power price of the agricultural large electric quantity with the average power consumption of the months of more than 1000 kilowatt-hours on site by users (the threshold value can be adjusted according to actual conditions) by users with abnormal average power price of the agricultural large electric quantity with the average power consumption of more than 1000 kilowatt-hours for 12 continuous months of the power consumption of more than 500 kilowatt-hours or non-irrigation and drainage Ji Yue. The method comprises the steps of mainly checking whether the field is used for agriculture (agriculture row) electricity, whether the action of converting high electricity price exists, whether the fixed ratio and the fixed quantity are required to be executed and are not executed in place or the fixed ratio and the fixed quantity value is set unreasonably and the like; users with abnormal average electricity prices of pure agriculture rows are subjected to key screening according to seasonal electricity utilization habits of the users, wherein the users with relatively more electricity consumption in the current year from 10 months to 2 months of the next year are suspected to be abnormal in average electricity prices (power supply units, household names, household numbers, electricity consumption addresses, voltage levels, capacities, meter reading sections, total annual electricity consumption and monthly electricity consumption); the user checking such average electricity price abnormality checks the record on site, determines the quantitative check record, verifies whether relevant work is carried out according to the requirement and executes the relevant work normally. Whether the power utilization execution range of agricultural irrigation and drainage is correct or not;

3. Technical scheme for checking abnormal average electricity price of user in current month caused by incomplete execution of electricity price of sewage treatment user

Checking analysis rules: (1) The village and town sewage treatment plant and sewage treatment enterprises can enjoy the preferential electricity price policy according to the related documents of the province and price bureau; (2) And screening village sewage treatment plants and sewage treatment enterprises according to the system data, and judging whether the preferential electricity price is executed in place or not.

And (3) checking and analyzing the key points: (1) The sewage treatment enterprises do not execute large industrial electricity price according to the latest files so as not to charge basic electricity fees; (2) whether the time-sharing execution of the sewage treatment enterprises is in place or not; (3) Whether the preferential electricity price of sewage treatment is executed in an out-of-range mode exists.

Data source and fetch field: (1) data source: a marketing business application system; (2) fetch field: user name, number, price of electricity, and basic charge of electricity.

The checking and analyzing method comprises the following steps: (1) The marketing business application system checks a user list of 'abnormal user electricity prices of sewage treatment average electricity prices are not carried out in place' (the user name is provided with a keyword 'sewage' or the user industry category is 'sewage treatment and recycling'); (2) The marketing business application system checks a user list with abnormal average electricity prices of non-sewage treatment (the user name is no sewage or the user industry category is not sewage treatment and recycling).

4. Technical scheme for checking abnormal average electricity price of current month of user caused by error execution of school teaching and student life electricity price

Checking analysis rules: teaching facilities such as classrooms, libraries, laboratories, sports houses, school administrative houses and the like, and student living facilities such as student canteens, bathrooms, dormitories and the like. Schools for executing electricity prices of residents refer to sponsors and civil schools held by governments and related departments, social organizations and citizens by individuals who are approved by related departments of the country, including: (1) Common higher schools (including universities, independently set colleges and higher specialty schools); (2) Common high school, adult high school and medium professional schools (including common college, adult middle school, professional high school, craftsman schools); (3) general junior middle school, professional junior middle school and adult junior middle school; (4) Primary school, adult primary school; (5) kindergarten (career); (6) Special education schools (institutions for obligating education for disabled children and teenagers). The utility model does not contain various business training institutions such as driving schools, cooking, cosmetology and hairdressing, language, computer training and the like. Definition of special cases: and (1) various business training institutions do not execute school electricity prices. The mechanism comprises: driving school, special machinery training school, cooking school, cosmetology and hairdressing school, various types of test training institutions, school outer coaching shifts, early education shifts, language and computer training schools; (2) The craftsman school is a full-day school with the office qualification issued by the national education department and the labor department, the academic is 3 years or more, and the technical skill talents (middle and high-grade workers and technicians) are cultivated; (3) The student practice base affiliated to the school executes the resident life electricity price, and the practice factory and the like for non-teaching purpose do not execute the resident life electricity price.

And (3) checking and analyzing the key points: (1) The resident living electricity price is wrongly executed by the office and civil school held by the government and related departments, social organizations and citizens individuals without approval by the related departments of the country; (2) Whether the electricity price of the school meets the national policy is converted to the electricity consumption of non-school or not.

Data source and fetch field: (1) data source: the marketing business application system (2) takes the number field: the electricity usage for units, house numbers, house names, 1-2 months, 7-8 months, or other holidays is substantially unchanged from the electricity usage for normal open months.

The checking and analyzing method comprises the following steps: (1) The system refers to a user list of abnormal average electricity price of the school electricity price, and for users of abnormal average electricity price of the school electricity price, the electricity consumption of 1-2 months, 7-8 months or other holidays months is basically unchanged from the electricity consumption of normal open months, or the electricity consumption is reduced by less than 50% (the holidays months and the reduction proportion can be adjusted according to actual conditions), and the site check is carried out by users. The method comprises the steps of mainly checking whether a site uses electricity for schools or not, and whether a behavior of converting high electricity price exists or not; (2) For the user with abnormal average electricity price of school electricity price for executing fixed ratio quantification, checking the fixed ratio quantification calculation basis, and judging whether the fixed ratio quantification should be executed but the actual execution is not in place or the fixed ratio quantification value is unreasonable.

5. Technical scheme for checking abnormal average electricity price of users in current month caused by wrong execution of resident clean electricity heating electricity price

And (3) checking and analyzing the key points: (1) The user who has the government clean heating directory average electricity price abnormality still executes the clean electric heating electricity price in the non-heating period; (2) Users with abnormal average electricity prices of non-government clean heating directory enjoy clean electricity heating electricity prices in an out-of-range.

Data source and fetch field: (1) data source: marketing business application system and field inspection; (2) fetch field: the information of the user who performs the cleaning and heating with abnormal average electricity price includes unit, household number and household name.

The checking and analyzing method comprises the following steps: the system refers to a user list for executing abnormal average electricity prices of clean electricity heating, compares the user list with users with abnormal average electricity prices of government clean heating directories, and checks whether users with abnormal average electricity prices in non-directories enjoy preferential electricity prices and execute electricity heating electricity prices in non-heating periods. And carrying out field inspection on users with abnormal average power price in doubt, and checking the field real electricity utilization property of the users with abnormal average power price.

6. Technical scheme for checking abnormal average electricity price of current month of user caused by error execution of distributed photovoltaic electricity price

Checking analysis rules: the distributed photovoltaic power generation is mainly divided into three types of full internet surfing, self-using surplus internet surfing and self-using according to internet surfing types. The electric charge mainly comprises two parts of online electric charge (electricity purchase charge) and national renewable energy source auxiliary. The distributed photovoltaic project executes corresponding electricity price policies according to different classification conditions, the provincial price bureau does not independently reply electricity price, and the company directly settles according to the existing electricity price policy.

And (3) checking and analyzing the key points: (1) The user subsidy electricity price and the online electricity price with abnormal distributed photovoltaic average electricity price are not correctly set according to the file specification; (2) the central subsidy form is inconsistent with the subsidy electricity price; (3) whether there is a problem; (4) the reason why the customer's online price of electricity is set to 0.

Data source and fetch field: (1) data source: the marketing business application system (2) takes the number field: units, user numbers of power generation users, user names, annual and monthly electric charge, online electricity prices and subsidy electricity prices.

The checking and analyzing method comprises the following steps: executing a photovoltaic electricity price client list according to the marketing business application system: (1) Checking whether the internet power price and the electricity generation price are set correctly or not, and whether the internet power price and the electricity generation price are in accordance with the policy file; (2) And checking whether the class change flow affects the associated clients, if the class change flow is generated, whether the class change flow is normal and reasonable, whether the electricity price selection is correct, and whether the electric quantity and the electricity fee are correct.

7. Technical scheme for checking abnormal average electricity price of user in current month caused by error execution of staged preferential electricity price policy

Checking analysis rules: (1) accurately executing government related electricity price files; (2) The execution validity period of the preferential electricity price specified in the file is consistent with the time period of executing the preferential electricity price in the system; (3) The actual electricity utilization property of the user with abnormal average electricity price, which accords with the file specification, is consistent with the executed preferential electricity price.

And (3) checking and analyzing the key points: (1) After the preferential electricity price execution time specified by the policy expires, the user electricity price with abnormal average electricity price is not modified in time; (2) there is a case in which the preferential electricity rates are erroneously performed out of range; (3) According to the file, whether the user with abnormal average electricity price, which should execute the preferential electricity price policy, does not execute or does not look away from the condition of infringement of the public interests; (4) The key check is carried out on whether the execution time of the stage preferential electricity price policy strictly meets the policy requirement; (5) The step-benefit power price policy indicates whether the user power charge with abnormal average power price is in place or not, whether the calculation process and the result are accurate or not, and whether the power charge returning process is reasonable and standard or not.

Data source and fetch field: (1) data source: a marketing business application system; (2) fetch field: power supply unit, household name, household number, preferential electricity price, epidemic prevention and repair.

The checking and analyzing method comprises the following steps: the implementation condition of the current year stage preferential electricity price policy is checked in an important way: and (5) recording the electricity fee calculation in the current year, and checking whether the preferential electricity price policy is not executed.

8. The abnormal checking technical scheme of the average electricity price of the current month of the user is caused by the fact that the difference electricity price is not executed in place, and the checking analysis rule is: and checking the eliminated class and the limit class according to the policy standard of each power saving price difference.

And (3) checking and analyzing the key points: (1) a situation that the differential electricity price is not carried out in place; (2) Verifying whether the execution (exit) time of the user differential electricity price with abnormal average electricity price, the specific reading time and the execution (exit) time of the user differential electricity price with abnormal average electricity price in the electricity price file are consistent; (3) And checking whether the electricity fee of the user with abnormal average electricity price of the difference electricity price is in place or not, whether the calculation process and the result are accurate or not, and whether the electricity fee returning and supplementing process is reasonable and standard or not.

Data source and fetch field: (1) data source: a marketing business application system; (2) fetch field: and executing the household name, household number, electricity utilization type, work order processing and electric quantity and electricity charge returning and supplementing work order of the differential electricity price.

The checking and analyzing method comprises the following steps: executing a differential electricity price client list according to the marketing business application system, and providing government electricity price files by a checked unit: (1) Checking whether the situation that the differential electricity price is not executed is existed; (2) Checking whether the execution time and the special reading time of the differential electricity price in the system are consistent with the execution of the electricity price file, and whether the execution time and the execution electric quantity are wrong so that the differential electricity price is not executed in place; (3) The differential electricity price policy is issued later than the execution time to generate the refund, and whether the electric quantity and electricity charge are accurate or not needs to be checked, and whether the refund flow is reasonable and standard or not is required.

9. Technical scheme for checking average electricity price abnormality of user in month caused by special electricity price execution abnormality

Checking analysis rules: special electricity price execution abnormality: special preferential electricity price execution errors such as ice cold accumulation, heat accumulating type electric boilers, sewage treatment and the like.

And (3) checking and analyzing the key points: (1) After the average electricity price abnormal user has the business expansion flow such as household, the electricity price is not checked again whether to accord with the preferential electricity price category; (2) The user preference electricity price application range with abnormal average electricity price is selected incorrectly.

Data source and fetch field: (1) data source: a marketing business application system; (2) fetch field: and executing a power supply unit, a household name, a household number, a power class, a work order processing and electricity charge repaying work order of the electric quantity and the electricity charge.

The checking and analyzing method comprises the following steps: (1) The users with abnormal average electricity prices of special preferential electricity prices such as ice cold accumulation, heat accumulating type electric boilers and sewage treatment are extracted in an increment mode to conduct investigation; (2) should not execute preferential electricity price; (3) industry classification does not match with the executive electricity price.

10. Technical scheme for checking abnormal average electricity price of user in month caused by wrong execution of electricity generation electricity price

Checking analysis rules: (1) a system spare capacity fee: collecting spare capacity fees of the system according to related policies of the self-contained power plant; (2) non- "three-surplus" self-contained power plant political cross-patch: collecting policy-based cross subsidies according to the spontaneous self-power consumption of the self-contained power plant; (3) government funds and additions: collecting government funds and additions according to the spontaneous self-electricity consumption of the self-contained power plant, and executing according to collection standards in a synchronous catalogue sales electricity price table; (4) internet electricity price: the network-surfing electric quantity is calculated according to the network-surfing electric price of the electricity price of each coal-saving standard pole; (5) special cases: the waste heat, the residual pressure and the residual gas of the self-contained power plant are reduced, the system spare expense and the policy are crossed and subsidized; and (6) other electricity generation price policies.

And (3) checking and analyzing the key points: (1) thermal power generation and hydroelectric power generation electricity price execution errors; (2) policy-like electricity prices and electricity fee execution errors of the power generation enterprises.

Data source and fetch field: (1) data source: a marketing business application system; (2) fetch field: generating enterprise name, number, price and fee.

The checking and analyzing method comprises the following steps: (1) Inquiring whether the electricity price of the power generation enterprise is accurately executed or not through a marketing business application system; (2) According to policy regulations, the system spare capacity fee, policy cross subsidies, government funds and the execution accuracy of electricity prices in addition and other special cases are checked.

11. Technical scheme for checking abnormal average electricity price of users in month caused by error execution of enterprise self-electricity price

Checking analysis rules: the enterprise self-power consumption refers to electric energy consumption which must occur for a power supply enterprise to complete production and operation activities such as power transmission, power transformation, power distribution, electricity selling and the like in the process of production and operation, and electric energy ownership is not transferred, and office power consumption such as a power supply enterprise office building, a dispatching building, a power supply (business) office, an overhaul company, an information machine room, a centralized control station and the like does not include power supply enterprise leasing place power consumption (power supply unit application power consumption), power supply enterprise leasing place power consumption, multi-channel enterprise power consumption and integrated enterprise power consumption and basic construction engineering construction power consumption.

And (3) checking and analyzing the key points: whether to select zero electricity price or not is the electricity used by a power supply enterprise leasing place (the electricity used by a non-power supply unit application), the electricity used by a power supply enterprise leasing place, the electricity used by a multi-channel enterprise and the electricity used by a integrated enterprise, the electricity used by construction engineering construction and the like.

Data source and fetch field: (1) data source: a marketing business application system; (2) fetch field: power supply unit, household name, household number, electric quantity, electric charge and electric price.

The checking and analyzing method comprises the following steps: and executing an enterprise self-power-consumption client list and an enterprise internal office place list provided by a checked unit according to the marketing business application system, and checking: (1) Whether the situation of the self-electricity price of the enterprise is executed in an out-of-range mode exists or not; (2) Whether the self electricity price of the enterprise is executed but not executed exists or not; (3) And whether the electric price code and the industry classification setting in the marketing business application system are correct or not.

12. Technical scheme for checking abnormal average electricity price of users in month caused by electricity price of charging facility

Checking analysis rules: the charging facilities (including various charging facilities installed by property or business private company and charging facilities installed in cell garage) arranged in residential home, residential community and non-residential average electricity price abnormality user for executing residential electricity price are powered on, and the user electricity price with abnormal total average electricity price in residential electricity price is executed.

And (3) checking and analyzing the key points: whether the charging and replacing facility has a guide mark, a warning mark, price indication, equipment state, a use instruction, an operation flow and notice, whether the charging and replacing facility is regularly maintained, whether the charging and replacing facility is uniformly marked, indicated and the like.

Data source and fetch field: (1) data source: marketing business application system and field inspection; (2) fetch field: unit, household number, household name, electricity price.

The checking and analyzing method comprises the following steps: and (3) carrying out inspection on the operation and maintenance conditions of the charging and power changing facilities along the line in a random mode, and photographing and evidence obtaining the problems. Executing a customer list of the electricity price of the electric automobile according to the marketing business application system, and checking: (1) Whether the electricity price of the electric automobile is executed according to the specified time of the file; (2) Whether the electricity price of the electric automobile is classified according to the regulations.

13. Technical scheme for checking abnormal average electricity price of user in current month caused by abnormal quantitative determination of ration and verification

Checking analysis rules: (1) quantitative ratio values do not comply with policies and logic; (2) The quantitative value is larger than the total electric quantity for one year continuously, and metering points for sales and deactivation are eliminated; (3) quantitatively determining the same electricity price with the upper metering point; (4) the quantitative ratio is 0; (5) a quantitative metering point, the quantitative value being less than 1; (6) The number of the metering points with fixed ratio and fixed quantity is 1 (the users with abnormal average electricity prices of self-contained power plants and the users with abnormal quantitative average electricity prices without tables are removed); (7) the quantitative values of the constant ratio are the same for 12 consecutive months.

And (3) checking and analyzing the key points: (1) parameter verification should be performed at least once a year; (2) Quantitative fixed ratio parameters are not set according to the actual conditions of the site; (3) checking that the quantitative value in the system is larger than the electric quantity; (4) checking the quantitative ratio of 0 in the system; (5) Checking quantitative metering points in the system, wherein the quantitative value is smaller than 1; (6) And checking a metering point with a certain ratio and a certain quantity in the system, wherein the number of stages of the metering point is 1.

Data source and fetch field: (1) data source: the marketing business application system (2) takes the number field: units, household numbers, metering point numbers, industry classifications, electricity prices, fixed ratio and quantitative values.

The checking and analyzing method comprises the following steps: (1) The marketing business application system checks that the quantitative value is larger than the total electric quantity; (2) the marketing business application system checks the quantitative determination ratio to be 0; (3) The marketing business application system checks quantitative metering points, and the quantitative value is smaller than 1; (4) The marketing business application system checks the metering point with a certain ratio and quantity, and the number of the metering point stages is 1.

14. Technical scheme for checking abnormal average electricity price of user in month caused by abnormal comprehensive multiplying power

Checking analysis rules: (1) The capacity of the transformer is matched with the comprehensive multiplying power (each province determines by oneself); (2) The multiplying power and the accuracy rate of the marketing business application system are consistent with those of the site; (3) Whether the transformer transformation ratio is consistent with the user file with abnormal average electricity price of the marketing business application system.

And (3) checking and analyzing the key points: (1) The new installation, capacity increase and capacity reduction do not configure corresponding transformers according to the capacity and voltage class of the transformer; (2) The important point is to check the user site with abnormal high-voltage flat electricity price with the multiplying power of 1; (3) And checking that the three-phase transformation ratio of the user transformer with abnormal average electricity price in the marketing business application system is inconsistent.

Data source and fetch field: (1) data source: a marketing business application system; (2) fetch field: unit, household number, household name, transformer capacity, multiplying power.

The checking and analyzing method comprises the following steps: (1) Extracting user details with abnormal average electricity price and non-through table comprehensive multiplying power of 1, and checking whether the comprehensive multiplying power is abnormal or not; (2) Extracting a capacity increasing flow with the ratio of the contract capacity to the capacity of more than 5 in a certain time period, and mainly checking whether the power consumption is obviously increased after the capacity increase of the user with abnormal average power price; (3) Extracting users with abnormal high-voltage average power rates and load rates lower than 10% (load rates=users with abnormal average power rates release electric quantity in the current month/maximum electric quantity of the theoretical month of the users with abnormal average power rates is 100%), and mainly checking whether system files are consistent with sites; (4) And checking that the three-phase transformation ratio of the user transformer with abnormal average electricity price in the system is inconsistent.

15. Technical scheme for checking average electricity price abnormality of users in current month caused by maximum demand of multiple common power supply users without accumulated charging of basic electricity fees

Checking analysis rules: for customers who pay basic electricity charges by the maximum demand, the maximum demand must be installed. (1) For clients with two or more incoming lines, the maximum demand should be calculated for each incoming line. If the line is used by the customer because of planned overhaul and the like of the power supply department, the maximum demand of a certain path is increased, and the increase part of the line should be reasonably deducted when the maximum demand of the customer in the month is calculated; (2) The system is provided with more than two paths of power supplies, interlocking devices are arranged for standby, and the required quantity is calculated according to the path with the largest load value in each path of power supply; for possible simultaneous operation, the calculations should be superimposed.

And (3) checking and analyzing the key points: and the customer who extracts the power supply of the multipath power supply checks the correctness of the demand charge.

Data source and fetch field: (1) data source: the marketing business application system and the electricity consumption information acquisition system; (2) fetch field: unit, family number, family name, demand value, two or more power supplies and power supply interlocking mode.

The checking and analyzing method comprises the following steps: and inquiring the users with abnormal average electricity prices of the multipath power supplies for executing the maximum demand charge in the marketing business application system, and checking whether the power supply mode and the maximum demand charge are accurate.

16. Technical scheme for checking abnormal average electricity price of users in current month caused by irregular electricity fee refund treatment

Checking analysis rules: the management of electric quantity and electric charge errors is enhanced, the electric quantity and electric charge withdrawal flow is standardized, when electric quantity withdrawal is needed due to meter reading errors, charging parameter errors, metering device faults, illegal electricity consumption, electricity stealing and the like, a responsibility department initiates the electric quantity and electric charge withdrawal flow in a marketing service application system, the electric quantity and electric charge withdrawal cause and calculation process are written, related data are uploaded, the marketing service application system is provided with an electric charge withdrawal approval link, and after step-by-step approval, withdrawal approval and release are completed by a verification center (team).

And (3) checking and analyzing the key points: (1) inadequate relief basis, lack of critical support materials; (2) The method has the advantages that the refund scheme is unreasonable, so that the refund amount is incorrect; (3) Whether paper electric quantity and electric charge return approval form filling is standard or not; and (4) whether the electricity quantity and electricity charge repayment flow is standard or not.

Data source and fetch field: (1) data source: the marketing business application system (2) takes the number field: units, family numbers, family names, contents of the work order for repairing, and flow of the work order for repairing.

The checking and analyzing method comprises the following steps: inquiring a user list with larger electricity charge and larger average electricity price abnormality in the system, and checking with emphasis: (1) Checking whether the paper data of the repayment process contains repayment application data and approval data on site; whether the signatures of users, processors and approvers with abnormal average electricity prices on related documents are complete or not; whether the application of the refund reason is true and reasonable or not; the telephone revisits the user with abnormal average electricity price to verify the authenticity of the refund; (2) Checking the refund and charge records related to the refund and charge flow in the marketing business application system on site, and judging whether the related flow executes a step-by-step approval system or not; whether a real corresponding entry and exit record and a financial voucher exist in the financial system or not; (3) Checking paper electric quantity electric charge withdrawal approval orders for several months of electric charge accounting shifts, checking whether the electric charge withdrawal approval orders are bound and archived in a centralized mode or not, and enabling the specific list to be consistent with a marketing business application system; (4) And checking whether information such as the name stamping condition, the type of the refund, the checker, the refund time and the like of the middle gate of the paper electric quantity refund approval batch bill is standardized, whether the checking result and the refund reason are clear in description, whether the refund scheme is complete and accurate, and whether the approval comments are filled step by step.

17. Technical scheme for checking abnormal average electricity price of user in current month caused by incorrect setting of variable loss parameters

Checking analysis rules: (1) a lossy execution error: customer with power supply voltage less than 1kV calculates the change, high-power supply low-power supply no-meter change, high-power supply high-power meter change, no meter reading electric quantity has copper loss, and the change charging parameter is incorrect; (2) incorrect loss-charging parameters refer to: the loss code corresponding to the transformer of the user with abnormal average electricity price is inconsistent with the transformer model of the loss standard table or inconsistent with the capacity or inconsistent with the voltage level of the user with abnormal average electricity price.

And (3) checking and analyzing the key points: (1) a loss parameter selection error; (2) the variation calculation mode picks up errors.

Data source and fetch field: (1) data source: the marketing business application system (2) takes the number field: the name of the user, the number of the user, the change charging mark, the change number and the electric quantity.

The checking and analyzing method comprises the following steps: and (5) extracting details of customers with high power supply and low power supply, and checking whether the situation of the unanswered variable power loss exists or not.

18. Technical scheme for checking abnormal average electricity price of user in month caused by abnormal line loss calculation of special line user

Checking analysis rules: the user electricity metering device with abnormal special line average electricity price is basically installed at the title boundary of the power supply facility, and when the electricity metering device is not installed at the title boundary, the active and reactive electric quantity consumed by the line and the transformer must be borne by the title owner.

And (3) checking and analyzing the key points: (1) The user with abnormal average electricity price of the line loss to be counted, and the charging mark of the line loss in the system is no; (2) The users with abnormal average electricity price of the line loss should not be counted, and the line loss electricity fee is counted in error in the system; (3) The line loss value in the marketing business system is inconsistent with the contract, and verification and input of the line loss value are incorrect.

Data source and fetch field: (1) data source: the marketing business application system (2) takes the number field: user name, user number, line loss mark and line loss check value of special line average power price abnormality.

The checking and analyzing method comprises the following steps: (1) The system extracts all special line customer lists, checks the special line customer line loss counting condition that the title demarcation point is inconsistent with the installation position of the metering device, and checks whether the special line loss counting condition that the line loss counting proportion is too low or not exists; (2) System queries in combination with field verification: checking the user power supply type, the metering point installation place, the line loss check value calculation book, the power supply and power utilization combination and the like with respect to the user electronic archive data and the paper archive data with abnormal average power price, and checking whether the information maintained in the site, the paper supporting material and the marketing business application system correspond to each other and are standard; (3) the system extracts the following anomaly data: a. the metering device is arranged at the user side with abnormal average electricity price, but the line loss value is not maintained according to contract agreements in the marketing business application system; b. incorrect verification and entry of the line loss value, and incorrect decimal point position number of the line loss value; c. the special line average price is abnormal with the line loss value of the user but the line loss charging mark is no; d. the special line average electricity price of the side of the metering point, which is the user side with abnormal average electricity price, is subjected to capacity increase, capacity reduction, suspension and other power utilization changes, or line parameters such as line type, wire model, line length and the like are changed, but the line loss value is not changed; e. the power supply type is special transformer but the winding loss is counted; f. the power supply type is a special line, the side to which the metering point belongs is a substation, and the line loss is counted.

19. Technical scheme for checking abnormal average electricity price of users in month caused by inconsistent electricity utilization type and industry type

Checking analysis rules: (1) The user electricity utilization type, industry classification and execution electricity price with abnormal average electricity price in the system keep a corresponding relation; (2) The user electricity consumption type and industry type of the average electricity price abnormality in the system are consistent with the customer site.

And (3) checking and analyzing the key points: whether the actual electricity utilization type, industry type and electricity price in the client file are consistent with the relationship of the client site or not.

Data source and fetch field: (1) data source: a marketing business application system; (2) fetch field: units, family names, family numbers, electricity prices, industry categories, and electricity categories.

The checking and analyzing method comprises the following steps: (1) In the marketing business application system, checking the electricity price execution rule according to the corresponding inquiry command, checking the abnormal data of the electricity use type, industry type and electricity price execution, and taking the user main metering point with abnormal average electricity price as the main metering point, wherein if the user electricity use type with abnormal average electricity price does not correspond to the executed electricity price type, the industry classification of non-resident electricity price can not select the check analysis rule of urban rural resident life, classified electricity price execution error and the like; (2) And extracting partial data, and checking the electricity utilization type, industry type and electricity price execution accuracy on site.

20. Technical scheme for checking abnormal average electricity price of users in current month caused by large electricity quantity of residents

Checking analysis rules: the electricity prices are resident total electricity prices (the threshold value is set by the user).

And (3) checking and analyzing the key points: (1) whether the site electricity consumption property and the execution electricity price are correct; and whether the combined meter price application data meets the requirements.

Data source and fetch field: (1) data source: the marketing business application system (2) takes the number field: unit, household number, household name, month electricity.

The checking and analyzing method comprises the following steps: and checking whether the actual electricity utilization type of the client is pure resident life electricity utilization or not on site, and whether other property electricity utilization conditions exist or not.

21. Technical scheme for checking abnormal average electricity price of current month of user caused by incomplete execution of one-user multi-population electricity price

Checking analysis rules: (1) The users with abnormal average electricity prices have multiple properties and do not really live in multiple populations, but multiple electricity users apply for electricity prices of one user and multiple populations, the acceptors are not tight in control, the electricity addresses are not carefully checked, whether the users with the abnormal average electricity prices have electricity users with the electricity prices of one user and multiple populations is checked, and the same owner enjoys the preferential electricity prices of one user and multiple populations of the multiple properties; (2) The household power utilization method comprises the steps that one household with multiple populations passes through households to non-multiple population residents, and the execution price is not adjusted in time in the changing process, so that the execution price is wrong; (3) The system causes that the information of one-user-multiple population in the marketing business application system is empty, so that the charging error of the electricity price user of one-user-multiple population is executed; (4) The user who can enjoy resident family 'one-family multi-population' electricity price average electricity price abnormality does not apply for a renewal period 3 months before expiration, resulting in failure of multi-population electricity price after two years are full.

And (3) checking and analyzing the key points: (1) A list of users with abnormal average electricity prices of one user and multiple people who expire within 3 months; (2) The users with the same name and the same ID card number, but a plurality of electricity utilization heads are arranged, and the average electricity price of residents with one user and multiple population electricity prices is executed; (3) The users with the same family names, the same electricity utilization addresses and abnormal average resident electricity prices of the electricity prices of one user and multiple population are executed; (4) The change of the household name occurs in 48 months continuously, and the electricity price before and after the change is carried out for one household with multiple population.

Data source and fetch field: (1) data source: a marketing business application system; (2) fetch field: unit, family name, family number, power.

The checking and analyzing method comprises the following steps: (1) Inquiring one-user-multiple-population flow information according to the validity period in the system; (2) Inquiring a 'repeated application of a one-user-multiple-population list' in the system according to the validity period; (3) Querying a 'one-user-multiple-population list expired in 3 months' in the system according to the validity period; (4) The method comprises the steps of verifying that the names of the residents are the same, the identity card numbers are the same, but a plurality of electricity utilization residents are arranged, and executing a user with abnormal average electricity price of residents with multiple population electricity prices; (5) The users who are the same in family name, the same in electricity consumption address, and abnormal in average electricity prices of residents who execute electricity prices of one or more people.

22. Technical scheme for checking average electricity price abnormality of users in current month caused by classified electricity price execution abnormality

Checking analysis rules: (1) The execution electricity price does not correctly select related parameters in the marketing business application system according to the actual electricity utilization type, so that abnormal execution occurs; (2) algorithm rules: a. executing a user with inconsistent average electricity price of the power supply voltage of the power supply corresponding to the metering point and the electricity price voltage grade; b. the electricity consumption category and the user who performs the inconsistent average electricity price anomaly (the bar extracts only one user who has an anomaly in the average electricity price); c. the user industry classification of abnormal average electricity price is not matched with the electricity price industry classification; d. a user with abnormal average electricity prices of residents executes two-rate electricity prices but no valley metering item; e. the user executing the abnormal average electricity price of the three rates does not select the peak or valley metering item; f. the user who executes the abnormal average electricity price of the demand does not have the maximum demand quantity item; g. the basic electricity charge of the users with abnormal average electricity prices of two systems is selected not to be calculated (the users with abnormal average electricity prices of the electricity price policies of the environmental protection industry are removed); h. customers (rejection industries classified as waterworks, sewage treatment, electric railways) with a capacity of 100 kilovolts (kilowatts) and above that of which time-of-use electricity prices should be performed but not performed.

And (3) checking and analyzing the key points: (1) executing time-sharing electricity price lack of corresponding indication type; (2) The basic electric charge calculation mode is according to the required quantity, and no quantity indication type exists; (3) The voltage level of the electricity price is inconsistent with the actual voltage level; (4) The industry classification of the execution power rates is inconsistent with the industry classification of the user information of the average power rate abnormality.

Data source and fetch field: (1) data source: a marketing business application system; (2) fetch field: household name, household number, electricity category, and execution electricity price.

The checking and analyzing method comprises the following steps: (1) the marketing business application system checks the classified electricity price abnormality; (2) The marketing business application system checks the peak valley electricity price parameter setting error; (3) The marketing business application system checks that the execution electricity price is not matched with the counter; (4) The marketing business application system checks that the voltage level of the electricity price is inconsistent with the voltage of the metering point; (5) The marketing business application system checks the basic information of the customer with wrong time-of-use electricity price execution; (6) Executing a user with inconsistent average electricity price of the power supply voltage of the power supply corresponding to the metering point and the electricity price voltage grade; (7) The electricity utilization type and the users with abnormal average electricity prices when the executed electricity prices are inconsistent; (8) The basic electricity charge of the users with abnormal average electricity prices of two systems is selected not to be calculated (the users with abnormal average electricity prices of the electricity price policies of the environmental protection industry are removed); (9) The running capacity is 315 kilovolts and above, and the large industrial electricity customers should execute but do not execute time-sharing electricity prices (the rejection industry is classified into waterworks, sewage treatment and electrified railways).

23. Technical scheme for checking average electricity price abnormality of user in month caused by abnormal execution of high-energy consumption customer electricity price

Checking analysis rules: the differential electricity price and the super-energy electricity price are executed for related enterprises according to a high-energy-consumption enterprise list published by a government authorized department.

And (3) checking and analyzing the key points: (1) the situation that the high energy consumption electricity price is not executed in place; (2) Verifying whether the execution (exit) time and the special reading time of the user high-energy consumption electricity price with abnormal average electricity price are consistent with the execution (exit) time of the user high-energy consumption electricity price with abnormal average electricity price in the electricity price file; (3) And checking whether the electricity fee of the user with abnormal average electricity price of high energy consumption is in place or not, whether the calculation process and the result are accurate or not, and whether the electricity fee is reasonable and normal or not.

Data source and fetch field: (1) data source: the marketing business application system (2) takes the number field: unit, family name, family number, electricity category, work order processing and electric quantity and electricity charge returning and supplementing work order.

The checking and analyzing method comprises the following steps: the marketing business application system executes a high-energy-consumption electricity price client list and government electricity price files provided by a checked unit: (1) Checking whether the condition that the high energy consumption electricity price is not executed is existed; (2) Checking whether the execution time and the special reading time of the high-energy-consumption electricity price in the system are consistent with the execution of the electricity price file, and whether the execution time and the execution electric quantity are wrong, so that the high-energy-consumption electricity price is not executed in place; (3) The high-energy-consumption electricity price policy is issued later than the execution time to generate the refund, whether the electric quantity and electricity charge are accurate or not needs to be checked, and whether the refund flow is reasonable and standard or not.

S2-2: the target evaluation function F of the power user for establishing the average value of the deviated electric quantity and the electric charge is as follows:

wherein n represents the total number of time periods, represents the electric quantity and electricity charge of the ith time period of the electric power user deviating from the average value of the electric quantity and electricity charge, represents the average value of the ith time period of the electric quantity and electricity charge of all the electric power users, and represents a time period adjustment coefficient; the power charge on the j th day of the power consumer, which is deviated from the average value of the power charge, is the average value of the power charges on the j th day of all the power consumers, and m is the total number of days and is the number of days adjustment coefficient. The period adjustment coefficient and the day adjustment coefficient satisfy: . The period and the number of days in calculating the target evaluation function F are adjusted according to the actual practice, and are dynamically adjusted every quarter in the present embodiment, so n=24, m=91.

S2-3: and solving the minimum value of the target evaluation function F by using a simulated annealing algorithm to obtain the target electric quantity and electricity charge of each period and the target electric quantity and electricity charge of each day, which are corresponding to the power users who deviate from the average value of the electric quantity and electricity charge when the minimum value of the target evaluation function F is obtained.

S3: and according to the analysis result, providing electricity utilization advice for the power users deviating from the average value of the electric quantity and electricity charge. And carrying out reasonable power utilization planning on power consumption of each time period and each day of the power consumer according to the target electric quantity and electricity charge of each time period corresponding to the power consumer deviating from the average value of the electric quantity and electricity charge and the target electric quantity and electricity charge of each day.

The electricity consumption suggestion can comprise the establishment of a distributed power supply and the establishment of an intelligent interaction terminal for monitoring and regulating electricity consumption in real time. Along with the transformation of energy development modes and the increase of the construction force of the intelligent power grid, the novel energy efficiency improvement technology such as a distributed power supply, an intelligent interaction terminal and the like has very important significance for improving the energy efficiency of users and efficiently utilizing the social resources. According to different user types and current situations of energy efficiency, a recommended energy efficiency improvement scheme and method can be provided in a targeted manner, and fine management is achieved.

Project embodiment-rational utilization advice by utilization analysis

The reasonable power utilization proposal is given through average electricity price comparison analysis, namely under the support of government regulations and policies, effective measures are taken, and the power demand reduced by a power demand user through the modes of changing the power utilization mode, improving the power utilization efficiency and the like is taken as a resource to participate in power planning together with the power supply resource. Under the cooperation of power grid enterprises, energy service enterprises and power users, the power utilization efficiency of the terminal is improved, the resource allocation is optimized, the same power utilization function is met, and meanwhile, the power consumption and the power demand are reduced, so that the energy service with optimal social benefit, benefit of all parties and lowest cost is realized. The method breaks through the traditional power management mode, changes the mode of simply expanding the supply capacity to meet the increasing power demand, and treats the relation between the supply side and the demand side at a higher level, thereby being an application research technology for promoting the power marketing accurate service of the power industry and the national economy and society to coordinate and develop. The method specifically comprises the following steps:

(1) Abnormal advice of average electricity price of user in month caused by abnormal power factor

When the users consume the same active power, the higher the power factor, the less electric energy is consumed in the same time, namely the higher the power efficiency of the users. And when the current month power factor adjustment electric charge of users in large industry and agriculture production is about 5% of the current month total electric charge, if the current month power factor adjustment electric charge is more than 5%, judging that the current month power factor adjustment electric charge of the users is abnormal. And when the current month power factor adjustment electric charge of the general business user is about 7.5 percent of the current month total electric charge, if the current month power factor adjustment electric charge is more than 7.5 percent, judging that the user power factor adjustment electric charge is abnormal. The power factor adjustment electric charge of the agricultural production user is normally about 5% of the total electric charge of the current month, and if the power factor adjustment electric charge of the current month exceeds 5%, the abnormality of the power factor adjustment electric charge of the user is judged.

There are two main ways to suggest the user to increase the power factor: firstly, the natural power factor of the user equipment is improved by means of reducing the idle running of the user motor, selecting reasonable motor capacity and model, and the like; secondly, according to the principle of 'on-site balancing', a reactive compensation device is arranged at the user side, and the reactive compensation device can be timely put into and cut off according to the condition of load and voltage fluctuation, but the problem of electric energy loss caused by over-compensation is needed to be paid attention to. When the general user side adopts a voltage class of 35kV, the capacity of the reactive compensation device is 10-30% of the total capacity of the user transformer; when the voltage class of 10kV is adopted, the capacity of the reactive compensation device is 20-30% of the total capacity of the user transformer.

(2) Abnormal advice of average electricity price of user in current month caused by basic electricity charge abnormality

The two power generation users can voluntarily pay the electric charge according to the maximum transformer capacity or contract demand, and can pay the electric charge according to the actual maximum demand. The method for judging the electric charge according to the capacity or the required quantity of the transformer is selected according to the load rate (actual maximum required quantity/operation capacity) of a user, wherein the load rate is more than 66.6%, the capacity is selected to pay the electric charge, and the required quantity is less than 66.6%.

Embodiment two:

as shown in fig. 1, an electric power efficiency improving method based on average electricity price, which realizes fine management and electricity service for electric power users through force adjustment analysis, includes:

s1: and acquiring power utilization data of all power consumers in the area, classifying the power consumers into different types, and calculating the average value of the power adjustment charges of all the power consumers in each type. The power-regulating electricity fee refers to the fact that a power supply company calculates the average power factor of the power supply company according to the reactive power used by customers for a period of time (such as one month or year), and the power supply company charges the relevant electricity fee according to the average power factor.

The power consumers are classified into different types, specifically: the electric power users are divided into three layers of an industrial layer, a commercial layer, a residential community and an agricultural production layer according to the industrial structure, and each layer is further divided into different types according to the industrial type. The specific structure of the three layers is the same as that of the first embodiment, and will not be described again.

S2: and selecting power users deviating from the average value of the power adjustment fees from each type, and analyzing the power consumption condition of the power users deviating from the average value of the power adjustment fees to obtain an analysis result. And analyzing the electricity consumption condition of the power consumer of the average value of the deviation force electricity charge, including analyzing punishment conditions, current month power factors and the like.

S3: and according to the analysis result, providing power utilization advice for the power users who deviate from the average value of the power adjustment fee, and prompting the users who do not reach the standard to strengthen power utilization management.

Embodiment III:

as shown in fig. 1, an electric power efficiency improving method based on average electricity price, which realizes fine management and electricity service for electric power users through capacity analysis, includes:

s1: and acquiring power consumption data of all power consumers in the area, classifying the power consumers into different types, and calculating the average value of the basic electric charges of all the power consumers in each type. The basic electricity charge refers to the electricity charge calculated according to the capacitance of the customer, and is suitable for large-industry customers.

The power consumers are classified into different types, specifically: the electric power users are divided into three layers of an industrial layer, a commercial layer, a residential community and an agricultural production layer according to the industrial structure, and each layer is further divided into different types according to the industrial type. The specific structure of the three layers is the same as that of the first embodiment, and will not be described again.

S2: and selecting the power consumers deviating from the average value of the basic electric charge from each type, and analyzing the power consumption condition of the power consumers deviating from the average value of the basic electric charge to obtain an analysis result. And analyzing the electricity consumption condition of the power users deviating from the average value of the basic electricity fees to obtain an analysis result, wherein the basic electricity fees of the users can be estimated according to different strategies.

S3: and according to the analysis result, providing an electricity utilization suggestion for the electric power user deviating from the average value of the basic electric charges, and guiding the user to select the most economical basic electric charge payment mode according to the estimated basic electric charges of the user.

Embodiment four:

as shown in fig. 1, an electric power efficiency improving method based on average electricity price, which realizes fine management and electricity service for electric power users through peak-to-valley analysis, includes:

s1: and acquiring electricity utilization data of all the power consumers in the area, classifying the power consumers into different types, and calculating the average value of electricity utilization of all the power consumers in each type in each period. The electricity consumption of each period comprises a peak period, a valley period and a flat period, and is specifically as follows:

peak time 8:00-11:00, 17:00-23:00;

low valley period: 00:00-07:00, 11:00-13:00;

Flat period: 07:00-08:00, 13:00-17:00, 23:00-24:00.

the power consumers are classified into different types, specifically: the electric power users are divided into three layers of an industrial layer, a commercial layer, a residential community and an agricultural production layer according to the industrial structure, and each layer is further divided into different types according to the industrial type. The specific structure of the three layers is the same as that of the first embodiment, and will not be described again.

S2: and selecting power users deviating from the average value of the power consumption of each period from each type, and analyzing the power consumption condition of the power users deviating from the average value of the power consumption of each period to obtain an analysis result.

S3: and according to the analysis result, the power utilization proposal is provided for the power user deviating from the average value of the power utilization in each period, for example, the user is reminded to optimize the power utilization arrangement, so that the expenditure of electric charge is reduced.

Fifth embodiment:

as shown in fig. 1, an electric power efficiency improving method based on average electricity price, which realizes fine management and electricity service for electric power users through load analysis, includes:

s1: and acquiring power consumption data of all power consumers in the area, classifying the power consumers into different types, and calculating the average value of equipment loads of all the power consumers in each type. The device load refers to the planned or actual usage of the device over a period of time.

The power consumers are classified into different types, specifically: the electric power users are divided into three layers of an industrial layer, a commercial layer, a residential community and an agricultural production layer according to the industrial structure, and each layer is further divided into different types according to the industrial type. The specific structure of the three layers is the same as that of the first embodiment, and will not be described again.

S2: and selecting power consumers deviating from the average value of the equipment load from each type, and analyzing the power consumption condition of the power consumers deviating from the average value of the equipment load to obtain an analysis result. And analyzing the electricity consumption condition of the power consumer deviating from the average value of the equipment load, including analyzing the equipment load condition, daily load trend, load rate distribution and the like.

S3: and according to the analysis result, providing electricity utilization advice for the power users deviating from the average value of the equipment load, and helping the users achieve the purposes of electricity utilization safety and economy.

Example six:

as shown in fig. 1, an electric power efficiency improving method based on average electricity price, which realizes fine management and electricity service for electric power users through variation analysis, includes:

s1: and acquiring power consumption data of all power consumers in the area, classifying the power consumers into different types, and calculating the average value of the variable loss electric quantity of the transformers of all the power consumers in each type. The variation is the electric quantity loss determined by the material of the transformer manufacturing principle (electromagnetic induction principle) itself.

The power consumers are classified into different types, specifically: the electric power users are divided into three layers of an industrial layer, a commercial layer, a residential community and an agricultural production layer according to the industrial structure, and each layer is further divided into different types according to the industrial type. The specific structure of the three layers is the same as that of the first embodiment, and will not be described again.

S2: and selecting power consumers deviating from the average value of the variable loss electric quantity from each type, and analyzing the power consumption variable loss condition of the power consumers deviating from the average value of the variable loss electric quantity to obtain an analysis result.

S3: and according to the analysis result, a power utilization suggestion is provided for the power user deviating from the average value of the variable loss electric quantity, for example, the user is guided to reasonably select the transformer and popularize the energy-saving transformer.

Embodiment seven:

as shown in fig. 2, the project also discloses a power efficiency improving system based on average electricity price, which comprises a data acquisition module, an average value calculation module, an abnormal user screening module and an analysis module. And the data acquisition module acquires electricity consumption data of all power users in the area and transmits the electricity consumption data to the average value calculation module and the abnormal user screening module. The average value calculation module divides the power users into different types, calculates the average value of the electric quantity and electricity charge of all the power users in each type and transmits the average value to the abnormal user screening module. And the abnormal user screening module selects the power users deviating from the average value of the electric quantity and the electric charge from each type, and transmits the power users deviating from the average value of the electric quantity and the electric charge to the analysis module. And the analysis module analyzes the electricity consumption condition of the power user deviating from the average value of the electric quantity and the electric charge to obtain an analysis result, and proposes an electricity consumption suggestion for the power user deviating from the average value of the electric quantity and the electric charge according to the analysis result.

The system in the embodiment further comprises a visualization module, wherein the visualization module performs visualization and display on the real electricity price abnormal data graph, image processing, computer vision and user interface through expression, modeling and display of three-dimensional, surface, attribute and animation, and after post-correction of average electricity price abnormal data, accurate service for customers is realized, customer satisfaction can be effectively improved, and power-assisted power enterprises develop well for a long time.

The project is switched in from six aspects of electric quantity electricity charge, power adjustment electricity charge, basic electricity charge, electricity consumption in each period, equipment load and variable electricity quantity of the electric power users respectively through the thought of average electricity price, the analysis of the electricity consumption behaviors of the electric power users in different industry types is realized by calculating the average value of the six aspects and comparing the average value with the average value of all users of the same type, reasonable electricity consumption suggestions are proposed on the basis, the fine management of the users is realized, and high-quality electricity consumption service is provided.

The project carries out electric power energy efficiency hierarchical assessment through the idea of average electricity price, so that enterprises can effectively know the energy efficiency condition of the enterprises, and further an energy-saving scheme is formulated, the capacity upgrading of the enterprises is promoted, the energy efficiency level is improved, and therefore the enterprises are assisted to save energy and reduce emission, and the electric power energy utilization efficiency is improved.

Meanwhile, for power enterprises, fine service management is carried out in front of vigorous competition, management holes are found out to provide high-quality electricity service for power users, and the method is an effective strategy for energy efficiency management at the power user side, and is very important for improving the overall energy efficiency of power energy sources, promoting the optimal allocation of power resources and improving the utilization efficiency of social energy sources. Compared with the traditional power demand side management, the method is a lifting scheme capable of giving full play to both power users and power supply enterprises, and can effectively mine energy-saving potential of all industries of the whole society. The project method has been practiced in typical power consumers, and the results of the practice verify the rationality and feasibility of the project method.

It will be appreciated by those skilled in the art that the embodiments presented in the present project study may be provided as a method, system, or computer program product. Accordingly, the subject application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the subject patent application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, magnetic disk memory, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.

Claims (6)

1. The electric power energy efficiency improving method based on the average electricity price comprises the following steps of:

s1: acquiring electricity utilization data of all power users in the area;

s2: selecting power consumers from various types, which deviate from the average value of the electric quantity and the electric charge;

s3: specific electricity utilization suggestions are given.

2. The method for improving power efficiency based on average power price according to claim 1, wherein after power utilization data of all power consumers in the area are obtained, the power consumers are classified into different types, and an average value of electric quantity and electricity charge of all the power consumers in each type is calculated.

3. The method for improving the power efficiency based on the average power price according to claim 1 is characterized in that after the power users deviating from the power charge are selected, the average value of the power charges deviating from the power charge and the power consumption condition of the power users are analyzed to obtain analysis results, and appropriate power consumption suggestions are provided for the power users deviating from the average value of the power charges according to the obtained analysis results.

4. The method for improving electric power efficiency based on average electricity price according to claim 1, wherein specific electricity utilization suggestions are: establishing a target evaluation function of a power user deviating from the average value of the electric quantity and the electric charge, and providing an electric consumption adjustment suggestion according to the electric consumption condition when the value of the target evaluation function is minimum;

Wherein, the objective evaluation function F is:

wherein n represents the total number of time periods, represents the electric quantity and electricity charge of the ith time period of the electric power user deviating from the average value of the electric quantity and electricity charge, represents the average value of the ith time period of the electric quantity and electricity charge of all the electric power users, and represents a time period adjustment coefficient; the power charge on the j th day of the power consumer, which is deviated from the average value of the power charge, is the average value of the power charges on the j th day of all the power consumers, and m is the total number of days and is the number of days adjustment coefficient.

5. The method for improving electric power efficiency based on average electricity price according to claim 4, wherein in the objective function formula, a period adjustment coefficient and the number of days adjustment coefficient satisfy:

6. the electric power energy efficiency improving system based on the average electricity price is characterized by comprising a data acquisition module, an average value calculation module, an abnormal user screening module and an analysis module;

the data acquisition module is used for acquiring electricity utilization data of all power users in the area and transmitting the electricity utilization data to the average value calculation module and the abnormal user screening module;

the average value calculation module is used for dividing the power users into different types, calculating the average value of the electric quantity and electricity charge of all the power users in each type and transmitting the average value to the abnormal user screening module;

The abnormal user screening module is used for selecting power users deviating from the average value of the electric quantity and the electric charge from each type and transmitting the power users deviating from the average value of the electric quantity and the electric charge to the analysis module;

and the analysis module is used for analyzing the electricity consumption condition of the power users deviating from the average value of the electric quantity and the electric charge to obtain an analysis result, and providing electricity consumption suggestions for the power users deviating from the average value of the electric quantity and the electric charge according to the analysis result.