CN105023062A - Electrical load weight management system and method based on peak and valley time periods - Google Patents
Electrical load weight management system and method based on peak and valley time periods Download PDFInfo
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- CN105023062A CN105023062A CN201510426365.5A CN201510426365A CN105023062A CN 105023062 A CN105023062 A CN 105023062A CN 201510426365 A CN201510426365 A CN 201510426365A CN 105023062 A CN105023062 A CN 105023062A
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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
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Abstract
The invention discloses an electrical load weight management system and method based on peak and valley time periods. The management system comprises a user management module, a basic information setting module, a data acquisition management module, an electrical load control management module and a statistics and query management module. According to the invention, the method comprises the steps of: by obtaining power consumer information and historical load data, and combined with the average power consumption of 24 time periods in a year, a month and a week, utilizing the power consumption to count distribution coefficients, predicting the electrical load distribution of 24 time periods in one day for a power user, and realizing real-time precise prediction in peak and valley time periods of a regional power grid. According to the invention, by means of a demand-side management technology, the power consumption of the power grid in peak periods is reduced in a directed manner, the power consumption of the power grid in valley periods is increased, and the purposes of energy saving and consumption reduction are achieved; in addition, the demand-side management technology is applied to a user side, the pertinency and validity of power grid peak clipping and valley filling are improved, the peak-valley load difference is reduced, and the economic benefit of the operation of the power grid is effectively improved.
Description
Technical field
The invention belongs to electric power network technical field, particularly relate to a kind of power load weight management system based on peak interval of time and method.
Background technology
Current known power load peak interval of time is that electric system sums up setting according to the Changing Pattern of total load curve, it is accurate that power load peak interval of time cannot do, be difficult to avoid to each regional power grid error, cause region peak load shifting effect specific aim poor.Dsm: under the support of government regulation and policy; take effective excitation and guiding measure and suitable function mode; jointly pulled together by genco, grid company, ESCO, social intermediary, product vendor, power consumer etc.; improve terminal power consumption efficiency and change power mode; electric quantity consumption and electricity needs is reduced while meeting same Electricity Functional; reach and economize on resources and protection of the environment, realize the management activity that social benefit is best, each side is benefited, least cost energy services is carried out.Peak load shifting: a part of peak load is moved to low-valley interval, thus the peak load reducing operation of power networks is poor, achieves the object of economize energy.Virtual energy storage technology: be a kind of based on demand Side Management and time-of-use tariffs strategy, the raising consumer paddy section power consumption realized by intelligent grid, reduces the load and energy administrative skill of point, crest segment power consumption.Comprise shutoff of avoiding the peak hour, pressure regulation of avoiding the peak hour, avoid the peak hour and adjust ginseng three kinds of control modes.
Summary of the invention
The object of the present invention is to provide a kind of power load weight management system based on peak interval of time and method, being intended to solve current known power load peak interval of time is that electric system sums up setting according to the Changing Pattern of total load curve, it is accurate that power load peak interval of time cannot do, be difficult to avoid to each regional power grid error, cause the problem that region peak load shifting effect specific aim is poor.
The present invention is achieved in that a kind of power load weight management method based on peak interval of time, and the described power load weight management method based on peak interval of time comprises the following steps:
Step one, obtains user profile and historical load data by power user intelligent ammeter;
Step 2, calculate power consumer nearest 1 year power load at 24 period average power consumptions, computing formula is:
Step 3, calculate power consumer power load in nearest January at 24 period average power consumptions, computing formula is:
Step 4, calculate power consumer nearest one week power load at 24 period average power consumptions, computing formula is:
Step 5, according to power consumer year, the moon, all power loads at 24 period average power consumptions, adopts power load statistical distribution coefficient.24 the period power load distributions of prediction power consumer day, formula is as follows:
D
24 periods(day 24 period load prediction)=N × N
24 periods(period in year 24 each electricity consumption mean value)+Y × Y
24 periods(the period moon 24 each electricity consumption mean value)+Z × Z
24 periods(all 24 period each electricity consumption mean values)
Wherein N is year statistical distribution coefficient, and Y is moon statistical distribution coefficient, and Z is all statistical distribution coefficients:
N+Y+Z＝1。
Another object of the present invention is to provide a kind of power load weight management system based on peak interval of time, the described power load weight management system based on peak interval of time comprises:
System user administration module, comprises user management module and Modify password module, for when system initialization, creates user, amendment user profile and deletes user;
Essential information arranges module, for adding power consumer record and electric energy meter record, deleting power consumer record and electric energy meter record, checking power consumer record and electric energy meter record;
Data capture management module, for setting-up time and data acquisition scheme, selects to gather user power utilization demand history data by user's electric energy meter or electric energy metrical far management system;
Load Control Management module, for being the management of customer charge weight and virtual energy storage Load Control Management;
Statistical query administration module, for realizing statistics, the inquiry of customer charge real data, the statistics of customer charge control data, inquiry.
Further, the concrete methods of realizing of described Load Control Management module comprises:
Step one, according to 10KV bus load information and historical load data, calculate point, peak, paddy, put down each power load period;
Step 2,10KV bus load information and historical load data to be broken to the outlet of 10KV switch at times, and calculate corresponding load weight;
Step 3,10KV switch outlet information on load and historical load data to be broken to platform district transformer at times, and calculate corresponding load weight;
Step 4, according to electricity consumption type, break platform district transformer load information and historical load data respective class power consumer at times, and calculate corresponding load weight;
Step 5, according to respective class power consumer, break information on load and historical load data power consumer at times;
Step 6, calculate power consumer weight shared by load at times according to power grid topological relation, weighing computation method is:
Step 7, using power consumer point cutting edge of a knife or a sword paddy flat electricity consumption period weight as the power consumption parameter of virtual energy storage control technology, to avoid the peak hour control to power load.
Power load weight management system based on peak interval of time provided by the invention and method, by obtaining power consumer information and historical load data, and in conjunction with year, the moon, all power loads at 24 period average power consumptions, adopt power load statistical distribution coefficient, 24 the period power load distributions of prediction power consumer day, achieve the real-time and precise prediction of regional power grid peak interval of time, be conducive to passing through DSM, directed reduction electrical network crest segment power consumption, improve electric-net valley section power consumption, thus realize energy-saving and cost-reducing object.The present invention be power consumer distributed power source access with to dissolve and the two-way interaction of power consumer and electric system provides technical foundation, DSM is made to implement to user side, improve specific aim and the validity of electrical network peak load shifting, decrease the load peak-valley difference of operation of power networks, effectively improve the economic benefit of operation of power networks.
Accompanying drawing explanation
Fig. 1 is the power load weight management system structural representation based on peak interval of time that the embodiment of the present invention provides;
Fig. 2 is the computing method process flow diagram of the Load Control Management module that the embodiment of the present invention provides;
Fig. 3 is the topological structure of electric schematic diagram that the embodiment of the present invention provides;
Fig. 4 is that the topological structure of electric electricity consumption type that the embodiment of the present invention provides merges schematic diagram.
Embodiment
In order to make object of the present invention, technical scheme and advantage clearly understand, below in conjunction with embodiment, the present invention is further elaborated.Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.
Below in conjunction with drawings and the specific embodiments, application principle of the present invention is further described.
As shown in Figure 1, the power load weight management system based on peak interval of time of the embodiment of the present invention, this system comprises: system user administration module; Essential information arranges module; Data capture management module; Load Control Management module; Statistical query administration module.The present invention adopts ADO data access technology, and the field of each database table and operation are encapsulated in class, make each forms of application program can both share the operation of his-and-hers watches, without the need to repeated encoding, make program be easy to safeguard, object-oriented programming thought is applied in database application design.
System user administration module, is divided into user management module and Modify password module.When system initialization, have two users given tacit consent to, system manager user is Admin, domestic consumer is Users, initial password is 111111, and Admin User can create user, amendment user profile and delete user, and oneself username and password then can only be revised by domestic consumer.
Essential information arranges module, system manager user can add power consumer record and electric energy meter record, deletes power consumer record and electric energy meter record, check power consumer record and electric energy meter record, and power consumer record and electric energy meter record then can only be checked by domestic consumer.
Data capture management module, system manager user can setting-up time and data acquisition scheme, selects to gather user power utilization demand history data by user's electric energy meter or electric energy metrical far management system.
Load Control Management module, its function is the management of customer charge weight and virtual energy storage Load Control Management.
Statistical query administration module, major function comprises statistics, the inquiry of customer charge real data, the statistics of customer charge control data, inquiry.
The power load weight management method based on peak interval of time of the embodiment of the present invention comprises the following steps:
Step one, obtains user profile and historical load data by power user intelligent ammeter;
Step 2, calculate power consumer nearest 1 year power load at 24 period average power consumptions, its computing formula is:
Step 3, calculate power consumer power load in nearest January at 24 period average power consumptions, its computing formula is:
Step 4, calculate power consumer nearest one week power load at 24 period average power consumptions, its computing formula is:
Step 5, according to power consumer year, the moon, all power loads at 24 period average power consumptions, adopts power load statistical distribution coefficient.24 the period power load distributions of prediction power consumer day, its formula is as follows:
D
24 periods(day 24 period load prediction)=N × N
24 periods(period in year 24 each electricity consumption mean value)+Y × Y
24 periods(the period moon 24 each electricity consumption mean value)+Z × Z
24 periods(all 24 period each electricity consumption mean values)
Wherein N is year statistical distribution coefficient, and Y is moon statistical distribution coefficient, and Z is all statistical distribution coefficients:
N+Y+Z＝1。
As shown in Figure 2, the computing method of the Load Control Management module of the embodiment of the present invention comprise the following steps:
S101: according to 10KV bus load information and historical load data, calculates point, peak, paddy, flat each power load period;
S102: break 10KV bus load information and historical load data 10KV switch outlet at times, and calculate corresponding load weight;
S103: break 10KV switch outlet information on load and historical load data platform district transformer at times, and calculate corresponding load weight;
S104: according to electricity consumption type, break platform district transformer load information and historical load data respective class power consumer at times, and calculate corresponding load weight;
S105: according to respective class power consumer, break information on load and historical load data power consumer at times;
S106: calculate power consumer weight shared by load at times according to power grid topological relation, power consumer at times load weight be multiplied by corresponding electricity consumption type at times load weight be multiplied by corresponding platform district transformer at times load weight be multiplied by corresponding 10KV switch outlet load weight at times, the load weight of the corresponding 10KV bus of the different peak interval of time of power consumer can be calculated.The statistics phase of peak interval of time power load weight can be year, the moon, week, day section any time;
S107: using power consumer point cutting edge of a knife or a sword paddy flat electricity consumption period weight as the power consumption parameter of virtual energy storage control technology, to avoid the peak hour control to power load;
Specific embodiments of the invention:
As shown in Figure 3,10KV bus in this electrical network is with 10KV switch 1 and 10KV switch 2,10KV switch 1 is with desk-top transformer 1 and desk-top transformer 2,10KV switch 2 is with desk-top transformer 3 and desk-top transformer 4, at times 10KV switch outlet information on load and historical load data to be broken to platform district transformer according to step (3), and calculate corresponding load weight.As shown in Figure 4, desk-top transformer 1 is with two class power consumers.Resident living power utility class, commercial power class.According to step S105 according to electricity consumption type, break platform district transformer load information and historical load data respective class power consumer at times, and calculate corresponding load weight.Finally, power consumer weight shared by load is at times calculated according to step S106 according to power grid topological relation.Power consumer point cutting edge of a knife or a sword paddy flat electricity consumption period weight as the power consumption parameter of virtual energy storage control technology, to be avoided the peak hour control to power load by step S107.
The foregoing is only preferred embodiment of the present invention, not in order to limit the present invention, all any amendments done within the spirit and principles in the present invention, equivalent replacement and improvement etc., all should be included within protection scope of the present invention.
Claims (3)
1. based on a power load weight management method for peak interval of time, it is characterized in that, the described power load weight management method based on peak interval of time comprises the following steps:
Step one, obtains user profile and historical load data by power user intelligent ammeter;
Step 2, calculate power consumer nearest 1 year power load at 24 period average power consumptions, computing formula is:
Step 3, calculate power consumer power load in nearest January at 24 period average power consumptions, computing formula is:
Step 4, calculate power consumer nearest one week power load at 24 period average power consumptions, computing formula is:
Step 5, according to power consumer year, the moon, all power loads at 24 period average power consumptions, adopts power load statistical distribution coefficient.24 the period power load distributions of prediction power consumer day, formula is as follows:
D
24 periods(day 24 period load prediction)=N × N
24 periods(period in year 24 each electricity consumption mean value)+Y × Y
24 periods(the period moon 24 each electricity consumption mean value)+Z × Z
24 periods(all 24 period each electricity consumption mean values)
Wherein N is year statistical distribution coefficient, and Y is moon statistical distribution coefficient, and Z is all statistical distribution coefficients:
N+Y+Z＝1。
2. based on a power load weight management system for peak interval of time, it is characterized in that, the described power load weight management system based on peak interval of time comprises:
System user administration module, comprises user management module and Modify password module, for when system initialization, creates user, amendment user profile and deletes user;
Essential information arranges module, for adding power consumer record and electric energy meter record, deleting power consumer record and electric energy meter record, checking power consumer record and electric energy meter record;
Data capture management module, for setting-up time and data acquisition scheme, selects to gather user power utilization demand history data by user's electric energy meter or electric energy metrical far management system;
Load Control Management module, for being the management of customer charge weight and virtual energy storage Load Control Management;
Statistical query administration module, for realizing statistics, the inquiry of customer charge real data, the statistics of customer charge control data, inquiry.
3., as claimed in claim 2 based on the power load weight management system of peak interval of time, it is characterized in that, the concrete methods of realizing of described Load Control Management module comprises:
Step one, according to 10KV bus load information and historical load data, calculate point, peak, paddy, put down each power load period;
Step 2,10KV bus load information and historical load data to be broken to the outlet of 10KV switch at times, and calculate corresponding load weight;
Step 3,10KV switch outlet information on load and historical load data to be broken to platform district transformer at times, and calculate corresponding load weight;
Step 4, according to electricity consumption type, break platform district transformer load information and historical load data respective class power consumer at times, and calculate corresponding load weight;
Step 5, according to respective class power consumer, break information on load and historical load data power consumer at times;
Step 6, calculate power consumer weight shared by load at times according to power grid topological relation, weighing computation method is:
Step 7, using power consumer point cutting edge of a knife or a sword paddy flat electricity consumption period weight as the power consumption parameter of virtual energy storage control technology, to avoid the peak hour control to power load.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN109767047A (en) * | 2019-01-23 | 2019-05-17 | 中国电力科学研究院有限公司 | A kind of linear programming load control method and system |
| CN110490374A (en) * | 2019-08-02 | 2019-11-22 | 国网天津市电力公司 | A kind of peak interval of time calculation method based on virtual energy storage technology |
| CN110555549A (en) * | 2019-08-22 | 2019-12-10 | 万洲电气股份有限公司 | Intelligent optimization energy-saving system based on peak staggering energy saving of grinding system |
| CN112529730A (en) * | 2020-11-27 | 2021-03-19 | 江苏瑞中数据股份有限公司 | Demand side peak shifting resource management system |
| CN114418199A (en) * | 2021-12-31 | 2022-04-29 | 新奥数能科技有限公司 | Electric quantity prediction method and device |
| CN117010573A (en) * | 2023-08-31 | 2023-11-07 | 连云港市港圣开关制造有限公司 | Intelligent power distribution energy-saving optimization method and system |
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| CN104134169A (en) * | 2014-08-19 | 2014-11-05 | 国家电网公司 | Calculation method based on peak and valley period electrical load weights |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109767047A (en) * | 2019-01-23 | 2019-05-17 | 中国电力科学研究院有限公司 | A kind of linear programming load control method and system |
| CN110490374A (en) * | 2019-08-02 | 2019-11-22 | 国网天津市电力公司 | A kind of peak interval of time calculation method based on virtual energy storage technology |
| CN110555549A (en) * | 2019-08-22 | 2019-12-10 | 万洲电气股份有限公司 | Intelligent optimization energy-saving system based on peak staggering energy saving of grinding system |
| CN110555549B (en) * | 2019-08-22 | 2023-08-11 | 万洲电气股份有限公司 | Intelligent optimization energy-saving system based on peak shifting energy saving of grinding system |
| CN112529730A (en) * | 2020-11-27 | 2021-03-19 | 江苏瑞中数据股份有限公司 | Demand side peak shifting resource management system |
| CN114418199A (en) * | 2021-12-31 | 2022-04-29 | 新奥数能科技有限公司 | Electric quantity prediction method and device |
| CN117010573A (en) * | 2023-08-31 | 2023-11-07 | 连云港市港圣开关制造有限公司 | Intelligent power distribution energy-saving optimization method and system |
| CN117010573B (en) * | 2023-08-31 | 2024-05-28 | 连云港市港圣开关制造有限公司 | Intelligent power distribution energy-saving optimization method and system |
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