CN112561157A - Comprehensive energy optimization energy-saving system - Google Patents
Comprehensive energy optimization energy-saving system Download PDFInfo
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- CN112561157A CN112561157A CN202011450695.5A CN202011450695A CN112561157A CN 112561157 A CN112561157 A CN 112561157A CN 202011450695 A CN202011450695 A CN 202011450695A CN 112561157 A CN112561157 A CN 112561157A
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/80—Management or planning
- Y02P90/82—Energy audits or management systems therefor
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S50/00—Market activities related to the operation of systems integrating technologies related to power network operation or related to communication or information technologies
- Y04S50/16—Energy services, e.g. dispersed generation or demand or load or energy savings aggregation
Abstract
The invention belongs to the field of comprehensive energy service, and particularly relates to a comprehensive energy optimization energy-saving system, which comprises: the energy consumption optimization service module is used for analyzing various user electricity utilization data by adopting an accurate portrait technology with the aim of minimizing the energy consumption cost of the user, and providing personalized energy consumption optimization service design schemes for different users; and the energy utilization diagnosis service module is used for diagnosing the power utilization data of the user and obtaining a diagnosis result. The technical scheme adopted by the invention has the following beneficial effects: aiming at minimizing the energy consumption cost of the user, various user electricity consumption data are analyzed by adopting an accurate portrait technology, and personalized energy consumption optimized service design schemes are provided for different users, so that the energy consumption expenditure is reduced for the client, and the energy utilization efficiency is improved; the power utilization data of the user are diagnosed, the diagnosis result is obtained, and the user experience is improved.
Description
Technical Field
The invention belongs to the field of comprehensive energy service, and particularly relates to a comprehensive energy optimization energy-saving system.
Background
Based on new-generation information technologies such as cloud computing, big data, the Internet of things, artificial intelligence and block chains, fusion construction and precise operation of various market resources on multiple stations such as transformer substations, charging and replacing stations, edge data center stations, 5G communication base stations, Beidou foundation enhancement stations, distributed new energy power stations and environment monitoring stations are integrated, diversified, interactive and customized services are provided for energy users, communication users, power grid enterprises and other market main bodies such as governments, and improvement of market vitality and economic development driving force is facilitated.
With the increase of the national strength for supporting clean energy, a large amount of high-proportion distributed energy is connected to a power distribution network, a business model is continuously innovated under the influence of new electricity generation, diversified comprehensive energy services are provided for customers, the development trend is reached, and high-quality comprehensive energy value-added services become more and more important market competition focuses. At present, under the background of high-speed development of energy internet, the problem of solving the limitation of the planning energy-saving value-added problem in the prior comprehensive energy system becomes an urgent problem to be solved.
Disclosure of Invention
The invention aims to solve the technical problem of providing a comprehensive energy optimization energy-saving system to realize optimization of power consumption and energy conservation.
In order to solve the technical problems, the invention adopts the following technical scheme: an integrated energy optimization and conservation system comprising:
the energy consumption optimization service module is used for analyzing various user electricity utilization data by adopting an accurate portrait technology with the aim of minimizing the energy consumption cost of the user, and providing personalized energy consumption optimization service design schemes for different users;
and the energy utilization diagnosis service module is used for diagnosing the power utilization data of the user and obtaining a diagnosis result.
Preferably, the proposing the design scheme of the personalized energy-consumption optimized service for different users comprises:
under the condition that the total amount of various energy consumption is not changed, a user quantifies by using the difference value of the total energy cost required before and after the energy consumption optimization service, the maximum difference value is an objective function to provide a personalized energy consumption optimization service design scheme, and the formula is as follows:
in the formula, Δ E is the difference between the energy consumption costs before and after the user i adopts the service scheme, qim(t) available energy supply p for user i to use energy m at time tim(t) is cost, p ', of user i using energy m before selecting service'im(t) cost of using energy m after selecting service for user i.
Preferably, the diagnosing the power consumption data of the user and obtaining the diagnosis result includes:
the method comprises the steps of obtaining system operation data, obtaining the transfer capacity, the load capacity, the equipment level and the equipment operation condition of an energy network, finding out the outstanding problems of the energy utilization condition, carrying out platform-level online reason diagnosis on the phenomenon of unreasonable energy utilization, and giving out a diagnosis result.
Preferably, the diagnosing the power consumption data of the user and obtaining the diagnosis result includes:
and analyzing the unit utility energy consumption condition of the user by adopting a data mining method, establishing a macroscopic energy efficiency rating system, and realizing panoramic display of the energy efficiency analysis and the energy efficiency prediction based on the power consumption energy efficiency information analysis of the user and the gridding positioning of the geographic position.
Preferably, the diagnosing the power consumption data of the user and obtaining the diagnosis result includes:
and carrying out cluster analysis on the load curve, finding out historical similar days of a future target date by using a date matching method, obtaining peak clipping and valley filling modes of user groups with different target dates, identifying the user groups needing peak clipping and valley filling, judging users with the characteristic curves opposite to the trend of the main network characteristic curve without adopting peak clipping and valley filling measures, and judging the users with the characteristic curves identical to the trend of the main network characteristic curve as target clients for peak clipping and valley filling, and adopting the peak clipping and valley filling measures.
The technical scheme adopted by the invention has the following beneficial effects:
1. aiming at minimizing the energy consumption cost of the user, various user electricity consumption data are analyzed by adopting an accurate portrait technology, and personalized energy consumption optimized service design schemes are provided for different users, so that the energy consumption expenditure is reduced for the client, and the energy utilization efficiency is improved;
2. the power utilization data of the user are diagnosed, the diagnosis result is obtained, and the user experience is improved.
The following detailed description of the present invention will be provided in conjunction with the accompanying drawings.
Drawings
The invention is further described with reference to the accompanying drawings and the detailed description below:
fig. 1 is a schematic structural diagram of an energy-saving system for energy optimization according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the invention, its application, or uses. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, an integrated energy optimization and energy conservation system includes: the energy consumption optimization service module is used for analyzing various user electricity utilization data by adopting an accurate portrait technology with the aim of minimizing the energy consumption cost of the user, and providing personalized energy consumption optimization service design schemes for different users; and the energy utilization diagnosis service module is used for diagnosing the power utilization data of the user and obtaining a diagnosis result.
The method is characterized in that various energy related data of a demand side are collected and stored based on the technology of the Internet of things, the data comprise metering data of industrial energy media such as water, electricity, steam and gas and related equipment systems of integrated building facilities, information classification and item calculation of an energy network are achieved, peak-valley electricity utilization conditions, self-electricity generation and main network electricity purchasing conditions, electricity charges, average electricity prices and other information of a user in a certain time period are summarized, and technical tools such as curve graphs are utilized to analyze aspects such as energy utilization structures and energy efficiency of the user.
The method has the advantages that various user electricity utilization data are analyzed through an accurate portrait technology, energy utilization requirements of users are researched, personalized energy utilization optimization service design schemes are provided for different target users, the users can use distributed clean energy more, energy utilization cost is reduced, and accordingly actual user experience is enhanced and user viscosity is improved.
The energy-saving service can effectively reduce the energy cost of users by taking the energy-saving cost as a value-added function, taking the energy gradient application and other approaches, the energy-saving cost capability can be quantified by using the difference value of the total energy cost required before and after the energy-saving optimization service under the condition that the total energy consumption of various types of energy is not changed by the users, the difference value is the maximum objective function, and the formula is as follows:
in the formula, Δ E is the difference between the energy consumption costs before and after the user i adopts the service scheme, qim(t) available energy supply p for user i to use energy m at time tim(t) is cost, p ', of user i using energy m before selecting service'im(t) cost of using energy m after selecting service for user i.
Aiming at the phenomena of large energy consumption, low efficiency, unreasonable peak-valley difference distribution and the like, corresponding energy consumption analysis method research is carried out, and energy consumption diagnosis service is provided.
Extracting and identifying relevant operation data from an automation and informatization system, acquiring the transfer capacity, load capacity, equipment level, equipment operation condition and the like of an energy network, searching for the outstanding problems of energy use conditions, carrying out platform-level online reason diagnosis on the phenomenon of unreasonable energy use, and giving out a general diagnosis suggestion through expert system reasoning.
For energy efficiency analysis of a user, a data mining method is adopted, unit utility energy consumption conditions of the user are analyzed, a macroscopic energy efficiency rating system is established, panoramic display of the energy efficiency analysis and energy efficiency prediction is realized based on the electricity utilization energy efficiency information analysis of the user and grid positioning of the geographic position, a personalized energy-saving scheme is formulated for loads with large energy consumption but low efficiency, and the technical level of energy utilization objects is improved.
For the phenomenon of large peak-valley difference, targeted peak clipping and valley filling measures are adopted, firstly, a load curve is subjected to clustering analysis, historical similar days of future target dates are found by using a date matching method, peak clipping and valley filling modes of user groups with different target dates are obtained, the user groups needing to be subjected to peak clipping and valley filling are identified, for users with the characteristic curves opposite to those of the main network characteristic curve, the power consumption habits are encouraged to be kept without adopting the peak clipping and valley filling measures, and for users with the characteristic curves almost the same as those of the main network characteristic curve, the target users judged to be subjected to peak clipping and valley filling can adopt measures such as ordered power consumption, peak-valley electricity price and the like to perform peak clipping and valley filling.
The influence of releasing the electricity selling side is considered, the advantages close to the user are fully utilized in the decision of electricity selling and energy supplying, and an integrated service mode framework is researched.
Under the condition that the electricity selling side is open, competitive electricity price and high-quality value-added service are provided, the method is an effective means for improving the market competitiveness of a power distribution enterprise, the advantages close to users are utilized, massive information collected by a customer electricity consumption energy meter is used as data resources, real-time remote metering and real-time transmission are carried out on the data, and reference is provided for providing low-cost, differentiated high-quality service strategies for the users.
The method is based on a sensing layer, a network layer, a platform layer and an application layer, an integrated service mode framework is constructed, internal and external related systems are integrated and butted, the framework is flexible, reliable and easy to expand, and the differentiated requirements of users are not needed.
The energy integration service platform overall architecture sensing layer is adapted to various energy intelligent terminals such as cold, heat, gas and electricity, and standard acquisition and intelligent control of energy information are realized; the network layer applies a standardized communication protocol and a multi-type network transmission technology to realize interconnection and intercommunication among equipment, platforms and services; the platform layer constructs an intelligent energy data center platform and supports intelligent energy service; in the application layer, equipment such as a PC (personal computer) end, a mobile application end, a large screen system and the like are used as system display layers to provide an application system meeting business requirements for users, and system functions comprise energy monitoring, energy analysis, energy management, energy trading, energy ecology and the like.
While the invention has been described with reference to specific embodiments, it will be understood by those skilled in the art that the invention is not limited thereto, and may be embodied in other forms without departing from the spirit or essential characteristics thereof. Any modification which does not depart from the functional and structural principles of the present invention is intended to be included within the scope of the claims.
Claims (5)
1. An integrated energy optimization and conservation system, comprising:
the energy consumption optimization service module is used for analyzing various user electricity utilization data by adopting an accurate portrait technology with the aim of minimizing the energy consumption cost of the user, and providing personalized energy consumption optimization service design schemes for different users;
and the energy utilization diagnosis service module is used for diagnosing the power utilization data of the user and obtaining a diagnosis result.
2. The system of claim 1, wherein the providing the design solution of the energy-optimized service for individual use to different users comprises:
under the condition that the total amount of various energy consumption is not changed, a user quantifies by using the difference value of the total energy cost required before and after the energy consumption optimization service, the maximum difference value is an objective function to provide a personalized energy consumption optimization service design scheme, and the formula is as follows:
in the formula, Δ E is the difference between the energy consumption costs before and after the user i adopts the service scheme, qim(t) available energy supply p for user i to use energy m at time tim(t) is cost, p ', of user i using energy m before selecting service'im(t) cost of using energy m after selecting service for user i.
3. The integrated energy-optimized energy-saving system according to claim 1, wherein the diagnosing the electricity consumption data of the user and obtaining the diagnosis result comprises:
the method comprises the steps of obtaining system operation data, obtaining the transfer capacity, the load capacity, the equipment level and the equipment operation condition of an energy network, finding out the outstanding problems of the energy utilization condition, carrying out platform-level online reason diagnosis on the phenomenon of unreasonable energy utilization, and giving out a diagnosis result.
4. The integrated energy-optimized energy-saving system according to claim 1, wherein the diagnosing the electricity consumption data of the user and obtaining the diagnosis result comprises:
and analyzing the unit utility energy consumption condition of the user by adopting a data mining method, establishing a macroscopic energy efficiency rating system, and realizing panoramic display of the energy efficiency analysis and the energy efficiency prediction based on the power consumption energy efficiency information analysis of the user and the gridding positioning of the geographic position.
5. The integrated energy-optimized energy-saving system according to claim 1, wherein the diagnosing the electricity consumption data of the user and obtaining the diagnosis result comprises:
and carrying out cluster analysis on the load curve, finding out historical similar days of a future target date by using a date matching method, obtaining peak clipping and valley filling modes of user groups with different target dates, identifying the user groups needing peak clipping and valley filling, judging users with the characteristic curves opposite to the trend of the main network characteristic curve without adopting peak clipping and valley filling measures, and judging the users with the characteristic curves identical to the trend of the main network characteristic curve as target clients for peak clipping and valley filling, and adopting the peak clipping and valley filling measures.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113408898A (en) * | 2021-06-21 | 2021-09-17 | 国网绿色能源有限公司 | Information recommendation method and device, electronic equipment and storage medium |
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| CN109426205A (en) * | 2017-09-05 | 2019-03-05 | 万洲电气股份有限公司 | A kind of industrial intelligent Optimization of Energy Saving system |
| CN111612220A (en) * | 2020-04-27 | 2020-09-01 | 国网河北省电力有限公司电力科学研究院 | Intelligent power utilization evaluation system based on big data |
| CN111966662A (en) * | 2020-08-07 | 2020-11-20 | 广东卓维网络有限公司 | Multi-user-side comprehensive energy monitoring service application platform |
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106022959A (en) * | 2016-05-19 | 2016-10-12 | 北京中电普华信息技术有限公司 | Peak clipping and valley filling-oriented electricity utilization behavior analysis method and system |
| CN109426205A (en) * | 2017-09-05 | 2019-03-05 | 万洲电气股份有限公司 | A kind of industrial intelligent Optimization of Energy Saving system |
| CN111612220A (en) * | 2020-04-27 | 2020-09-01 | 国网河北省电力有限公司电力科学研究院 | Intelligent power utilization evaluation system based on big data |
| CN111966662A (en) * | 2020-08-07 | 2020-11-20 | 广东卓维网络有限公司 | Multi-user-side comprehensive energy monitoring service application platform |
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| CN113408898A (en) * | 2021-06-21 | 2021-09-17 | 国网绿色能源有限公司 | Information recommendation method and device, electronic equipment and storage medium |
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