CN113595089A - Electric energy regulation and control method and system based on demand side management - Google Patents
Electric energy regulation and control method and system based on demand side management Download PDFInfo
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- CN113595089A CN113595089A CN202110699033.XA CN202110699033A CN113595089A CN 113595089 A CN113595089 A CN 113595089A CN 202110699033 A CN202110699033 A CN 202110699033A CN 113595089 A CN113595089 A CN 113595089A
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
- H02J3/14—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
- H02J3/144—Demand-response operation of the power transmission or distribution network
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02H—EMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS
- H02H7/00—Emergency protective circuit arrangements specially adapted for specific types of electric machines or apparatus or for sectionalised protection of cable or line systems, and effecting automatic switching in the event of an undesired change from normal working conditions
- H02H7/26—Sectionalised protection of cable or line systems, e.g. for disconnecting a section on which a short-circuit, earth fault, or arc discharge has occured
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00006—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
- H02J13/00022—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment using wireless data transmission
- H02J13/00026—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment using wireless data transmission involving a local wireless network, e.g. Wi-Fi, ZigBee or Bluetooth
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00006—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
- H02J13/00028—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment involving the use of Internet protocols
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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
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
- Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
- Y02B70/3225—Demand response systems, e.g. load shedding, peak shaving
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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
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02B90/20—Smart grids as enabling technology in buildings sector
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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
- Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
- Y04S20/20—End-user application control systems
- Y04S20/222—Demand response systems, e.g. load shedding, peak shaving
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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
- Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
- Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
- Y04S40/126—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment using wireless data transmission
Abstract
The invention discloses an electric energy regulation and control method and system based on demand side management. The problem of lack among the prior art to the accurate real-time load management of low pressure demand side is solved. The electric energy control end comprises a concentrator, a plurality of electric energy collectors and a plurality of intelligent circuit breakers, the concentrator is in communication connection with the electric power operation end, the concentrator is connected with the collectors respectively, and the collectors are connected with the intelligent circuit breakers respectively. The power operation terminal analyzes the peak period of power consumption of the power grid and the user according to the average daily load curve of the power grid and the average daily load curve of the user, obtains the user with high coincidence degree of the peak period of power consumption of the power grid and the user, selects the period with the most power consumption in the optimal duration as the user power dispatching period in the peak period of load coinciding with the user, converts the period into an instruction and sends the instruction to the intelligent breaker of the corresponding user for power dispatching. Accurate real-time load management on the low-voltage demand side is achieved.
Description
Technical Field
The invention relates to the technical field of electric power, in particular to an electric energy regulation and control method and system based on demand side management.
Background
With continuous breakthrough recording of the peak value of the electrical load in the whole society, the peak load regulation pressure of the power grid is increasing day by day, and a wider demand response means is urgently needed to be developed in order to liberate the construction and development of multiple high-elasticity power grids. The low-voltage user load curve is highly matched with the power grid load curve, the peak load time periods are coincident, and the time characteristic and the interruptible characteristic meet the construction requirements of multiple high-elasticity power grids.
At present, high-voltage demand side response surrounding a large user is developed, and low-voltage demand side response cannot make timely and effective response in a response time period because precise load remote automatic control cannot be realized, so that large-scale implementation cannot be realized all the time. Although the single-phase cost control electric energy meter has the response control capability, the control function only supports the on-off of the whole household, and the concept of high-quality service is not satisfied.
Disclosure of Invention
The invention mainly solves the problem that accurate real-time load management on a low-voltage demand side is lacked in the prior art, and provides an electric energy regulation and control method and system based on demand side management.
The technical problem of the invention is mainly solved by the following technical scheme: a method for regulating and controlling electric energy based on demand side management is characterized in that: the method comprises the following steps:
s1, a power operation end sets a load to be dispatched, wherein the load comprises a signed user load and an invitation user load, and candidate invitation users are determined through invitation;
s2, acquiring historical daily load data of the power grid and the candidate invited users, and respectively fitting a daily average load curve of the power grid and a daily average load curve of each user;
s3, respectively acquiring a power grid load peak time and each user load peak time according to the area ratio;
s4, comparing the load peak time of the power grid with the load peak time of each user, acquiring coincident time periods, screening out coincident time periods meeting requirements and recording as invitation time periods, and recording users corresponding to the invitation time periods as invitation users;
s5, selecting the most electricity utilization period in the preferred duration from the invitation periods as a scheduling period of the invitation user, and generating a user dynamic scheduling instruction;
and S6, generating a fixed scheduling instruction according to a fixed time interval, sending the fixed scheduling instruction to the intelligent circuit breaker of the subscriber, and sending a dynamic scheduling instruction to the intelligent circuit breaker of the subscriber.
According to the invention, the peak time periods of power utilization of the power grid and the users are analyzed according to the daily average load curve of the power grid and the daily average load curve of the users, the users with high coincidence degree of the power grid and the users at the peak time periods of power utilization are obtained, and the brake-separating control is carried out at the peak time periods of power utilization. Because the difference between the peak time of the power utilization of some users and the peak time of the power utilization of the power grid is far, the users have less power utilization in the peak time of the power utilization of the power grid, if the users are not screened, the loads of the users scheduled in the peak time of the power utilization are less, and the electric energy scheduling effect is not ideal. According to the invention, the user load peak period and the power grid load peak period are screened out to be overlapped more, the opening control is carried out on the user in the power utilization peak period, the load of dispatching is more, the electric energy dispatching effect is more obvious, and the load of the power grid in the power utilization peak period can be relieved more accurately and better.
As a preferable scheme, the step S1 specifically includes:
s11, the power operation terminal sets loads to be scheduled, calculates the loads of the signed users according to the number of the signed users, and calculates the loads of the invited users by subtracting the loads of the signed users; the load to be scheduled can be adjusted regularly according to the situation through direct setting. And the next day load value can be predicted in advance through load prediction, and then the set power grid load threshold value is subtracted according to the power grid operation condition to calculate the load to be scheduled. The users who have installed the intelligent circuit breakers are regarded as schedulable users, the users participate in electric energy scheduling in two modes of signing and inviting, the signing mode is used for signing an agreement with a power supply enterprise, and the power supply enterprise can cut off and transmit power in a set scheduling period. The invitation mode is that the power supply enterprise sends invitation information to a user terminal of a user, the invitation information comprises a time period required to be switched off, the user operates on the user terminal to confirm receiving of the invitation and feed back the confirmation information to the power utilization enterprise, and the power supply enterprise cuts off and transmits power in the calculated scheduling time period.
S12, the power operation end sends invitation information to a user end of a non-signed user;
and S13, the user side returns offer feedback information to the power operation side according to user operation, whether the offer feedback information is an agreement or not is judged, and the user with the feedback information as the agreement is determined as a candidate offer user.
As a preferable scheme, the step S2 specifically includes:
s21, acquiring load historical data of a power grid and candidate invitation users in the past n days, acquiring the load historical data at set time points to obtain sampling data, wherein the time points are separated by delta t minutes, and averaging the sampling data at the same time point every day of the history to respectively obtain daily average sampling data Ai of the power grid and daily average sampling data Bi of the users, wherein i =1, 2 … …, k = 1440/[ delta ] t; the sample data record form includes time points and corresponding load values. The matching historical data of all candidate offer users is collected and analyzed.
S22, constructing a daily load coordinate system of the power grid, and acquiring the minimum value A of the daily average sampling data set Ai of the power gridminSetting the unit load of the power grid, if the unit load is 500 ten thousand kw, generating load values of 500 ten thousand kw and 1000 ten thousand kw … … as Y-axis coordinate values, and selecting the value which is smaller than and closest to AminThe load value is determined as a Y-axis initial value, unit time is set, a plurality of time points are generated by dividing the time of day and are used as X-axis coordinate values, if 1 hour is used as the unit time, 24 hours are generated as the X-axis coordinate values, and a power grid daily average load curve is fitted in a power grid daily load coordinate system according to power grid daily average sampling data Ai;
constructing a daily load coordinate system of the user, and acquiring the minimum value B of the daily average adopted data set Bi of the userminSetting the load of the user unit, such as 1kw as unit load, generating load values of 1kw, 2kw … … as Y-axis coordinate values, selecting the value less than and closest to BminThe load value is determined as a Y-axis initial value, a day is divided into a plurality of time points which serve as X-axis coordinate values, and a user daily average load curve is fitted in a power grid daily load coordinate system according to user daily average sampling data Bi.
As a preferable scheme, the step S3 specifically includes:
s31, acquiring a region surrounded by a coordinate system and a load curve as a power utilization region, dividing the power utilization region at intervals of delta T minutes on an X axis, and dividing a plurality of time-sharing regions; and if the delta T is set to be 30 minutes, a vertical line is set at the time point of each half hour to divide the power utilization area, and finally 48 time-sharing areas are divided. The number of the time-sharing areas is determined according to the requirement, the time length of the time delta T is set by adopting minutes, and the time length of the minutes is preferably evenly divided by 60 minutes.
S32, calculating the area of each time-sharing region, and selecting the time-sharing region with the largest area as a central time-sharing region; the area calculation method adopts the calculation method for the irregular-shaped area in the prior art. If the time-sharing area is divided by adopting the unit lines, the top ends of the unit lines are connected by straight lines to form each trapezoidal strip, and the areas of the trapezoidal strips are calculated and added to obtain the approximate time-sharing area.
S33, selecting time-sharing areas from two sides one by taking the central time-sharing area as a center, calculating the panel ratio of the time-sharing area to the central time-sharing area, judging whether the area ratio is greater than A1, if so, marking the time-sharing area as a peak time-sharing area, selecting the repeated area ratio of the next time-sharing area for judgment, and if not, stopping selecting the time-sharing area; with the central time-sharing area as the center, selecting the adjacent time-sharing areas first, and judging the area ratio, wherein the area ratio calculation mode is as follows: (area of time-sharing zone/central time-sharing zone) 100%, and a1 is a set percentage value, such as 85% for a 1. When the area ratio is larger than A1, the time sharing area is marked as a peak time sharing area, then the adjacent time sharing area of the time sharing area is selected to carry out the area ratio judgment, and the steps are repeated until the area ratio of the selected time sharing area is smaller than A1, and then the selection is stopped.
And S34, combining the obtained peak time sharing area and the central time sharing area to serve as a peak area, wherein the time period corresponding to the peak area is a peak time period, and thus, the power grid load peak time period and each user load peak time period are respectively obtained. The peak time-sharing area and the central time-sharing area selected according to the method are adjacently connected into a piece, and the peak time-sharing area and the central time-sharing area are combined to form the peak area. The grid peak load periods and the user peak load periods are selected on the grid daily average load curve and the user daily average load curve by the method of steps S31-S34.
As a preferable scheme, the step S4 specifically includes:
s41, screening out user load peak time periods which coincide with the power grid load peak time periods, and acquiring the coincident time periods and recording as coincident time periods;
and S42, judging whether the duration of the coincidence time interval is greater than A2, if so, recording the coincidence time interval as an invitation time interval, and recording a user corresponding to the invitation time interval as an invitation user. A2 is the time period, e.g., set to 2 hours. Comparing the coincidence time period with A2, namely judging the coincidence degree of the coincidence time period, wherein the coincidence degree reflects whether the power load condition of a user is close to the power load condition of the power grid in the peak time period of the power grid, the higher the coincidence degree is, the higher the power load of the user in the peak time period of the power grid is, and the user is also in the peak time period of the load, so that the power dispatching is carried out on the user, the load can be effectively reduced, and the load pressure in the peak time period of the power grid is relieved; and when the coincidence degree is low, the power load of the user is low in the peak time of the power grid, the load reduced by scheduling the user is small, and the effect of relieving the load pressure in the peak time of the power grid is small. The user who selects the power load condition of peak period to be close to the power load condition of the power grid is judged through coincidence, and the effect of relieving the load pressure of the power grid in the peak period is more obvious. When the coincidence period is less than 2 hours, the coincidence degree is low, namely the scheduling load is low in the period, and some users with low scheduling load are excluded according to the judgment of the duration of the coincidence period. And when the duration of the coincidence period is more than 2 hours, recording the coincidence period as an invitation period, and recording the user corresponding to the data information of the invitation period as an invitation user.
As a preferable scheme, the step S5 specifically includes:
s51, setting an optimal duration;
s52, acquiring each adjacent time division zone group with the duration equal to the preferred duration in the invitation period, and calculating the area of each time division zone group; the time division zone group is the time division zones which are combined together and accord with the preferred time length, and the time division zones are adjacent to each other.
And S53, selecting the time division zone group with the largest area, recording the time period corresponding to the time division zone group as the scheduling time period of the invited user, and reviewing the dynamic scheduling instruction of the user.
In addition, all the invited users are obtained, calculation is carried out according to the regulation and control of each invited user by 1kW, the actual invited electrical load is obtained, the actual invited electrical load is compared with the set invited electrical load, if the actual invited electrical load is greater than the set invited electrical load, the invited users can be selected according to the area size of the zoning area group, the area is changed from high to low, and the selected invited users are subjected to electric energy scheduling control. If the number of the users is less than the set power consumption, the number of the users can be increased by adjusting the value of A2.
An electric energy regulation and control system based on demand side management comprises a user terminal, an electric power operation terminal and an electric energy control terminal which are connected through a wireless network,
the concentrator is in communication connection with the power operation end, the concentrator is respectively connected with the collectors, the collectors are respectively connected with the intelligent circuit breakers in the user room, the concentrator receives a scheduling instruction of the power operation end, sends the scheduling instruction to the corresponding user electric energy collectors through a power line, and sends the scheduling instruction to the corresponding intelligent circuit breakers through the electric energy collectors;
the system comprises a power operation end, a user end and an electric energy control end, wherein the power operation end is used for receiving scheduling information or offer information of the power operation end, and returning offer feedback information to the electric energy control end according to user operation after receiving the offer information;
the power operation terminal distributes users needing power dispatching, analyzes the peak period of power consumption of the power grid and the users according to the average daily load curve of the power grid and the average daily load curve of the users, obtains the users with high coincidence degree of the peak periods of load of the power grid and the users, selects the period with the most power consumption in the optimized duration in the peak period of load coinciding with the users as the power dispatching period of the users, and converts the dispatching period into an instruction to be issued to the intelligent circuit breaker of the corresponding user for power dispatching.
The power operation end sends an instruction to control the user intelligent circuit breaker to be disconnected in response time during power consumption peak, transfers idle load of users, releases flexible power consumption load, enhances power grid peak capacity, greatly relieves load pressure during power consumption peak period, achieves the effects of peak clipping and valley filling, energy saving and emission reduction, improves equipment utilization rate and reduces power transmission and distribution infrastructure investment. The invention is based on the power line carrier communication technology, realizes the management of the intelligent circuit breaker of the tail end circuit by receiving the instruction through the power line broadband carrier channel, only needs to change the original circuit breaker of the user electric appliance into the intelligent circuit breaker, does not need to greatly transform equipment, and realizes the accurate remote automatic control of the load for the user. According to the method, the peak load time of the power grid and the peak load time of the user are obtained by analyzing the peak load time of the power grid and the user according to the daily average load curve of the power grid and the daily average load curve of the user, the peak load of the power grid and the user with more time coincidence in the peak load time are obtained, the peak load of the power grid and the peak load of the power grid of the user are more coincided, the user is screened out to carry out switching-off control in the peak power utilization time, and the peak load of the power grid can be relieved more accurately and better. The users participating in the power dispatching are users who have entered into an agreement with the national network or who have received an offer.
Therefore, the invention has the advantages that:
accurate real-time low pressure demand side's accord with management has been realized.
The intelligent circuit breaker of the user is controlled to be disconnected in response time by sending an instruction in the power utilization peak, the idle load of the user is transferred, the flexible power utilization load is released, the power grid peak capacity is enhanced, the load pressure in the power utilization peak period is greatly relieved, peak clipping and valley filling are achieved, energy is saved, emission is reduced, the equipment utilization rate is improved, and the power transmission and distribution infrastructure investment is reduced.
According to the daily average load curve of the power grid and the daily average load curve of the users, analyzing the peak time periods of power utilization of the power grid and the users, acquiring users with more coincided load peak time periods of the power grid and the users, wherein the peak load of the power utilization of the users is more coincided with the peak load of the power grid, screening the users to carry out brake opening control in the peak time periods of the power utilization, and being capable of more accurately and better relieving the load of the power grid in the peak time periods of the power utilization.
The intelligent circuit breaker management system has the advantages that the carrier communication technology is utilized to receive instructions to achieve management of the intelligent circuit breaker of the tail end circuit, only the original circuit breaker of the user electrical appliance needs to be replaced by the intelligent circuit breaker, large transformation of equipment is not needed, and accurate remote automatic load control is achieved for users.
Drawings
FIG. 1 is a block diagram of one configuration of the present invention;
FIG. 2 is a graph of the daily load of the power grid generated in the example;
FIG. 3 is a graph of daily user load generated in the example;
FIG. 4 is a schematic diagram of obtaining peak load time of a power grid in an embodiment;
fig. 5 is a schematic diagram of acquiring a user peak load period in the embodiment.
1-user side 2-electric power operation end 3-electric energy control end 4-concentrator 5-electric energy collector 6-intelligent short-circuiting device.
Detailed Description
The technical scheme of the invention is further specifically described by the following embodiments and the accompanying drawings.
Example (b):
in this embodiment, an electric energy regulation and control system based on demand side management is shown in fig. 1, and includes a user side 1, an electric power operation side 2, and an electric energy control side 3 connected via a wireless network, where the electric energy control side includes a concentrator 4, a plurality of user electric energy collectors 5, and an intelligent circuit breaker 6 for controlling on/off of an electric appliance in a plurality of users. The concentrator is connected with the electric power operation end through a wireless network, the concentrator is respectively connected with each collector through an electric power transmission line, the collectors are respectively connected with each indoor intelligent circuit breaker through the electric power transmission line, and the intelligent circuit breakers are connected with electrical sockets or electrical circuits needing to be regulated and controlled.
The concentrator receives a scheduling instruction of the power operation end, sends the scheduling instruction to the corresponding user electric energy collector through a power line, and sends the scheduling instruction to the corresponding intelligent circuit breaker by the electric energy collector;
the system comprises a power operation end, a user end and an electric energy control end, wherein the power operation end is used for receiving scheduling information or offer information of the power operation end, and returning offer feedback information to the electric energy control end according to user operation after receiving the offer information;
the power operation terminal distributes users needing power dispatching, analyzes the peak period of power consumption of the power grid and the users according to the average daily load curve of the power grid and the average daily load curve of the users, obtains the users with high coincidence degree of the peak periods of load of the power grid and the users, selects the period with the most power consumption in the optimized duration in the peak period of load coinciding with the users as the power dispatching period of the users, and converts the dispatching period into an instruction to be issued to the intelligent circuit breaker of the corresponding user for power dispatching.
The power operation end sends an instruction to control the user intelligent circuit breaker to be disconnected in response time during power consumption peak, idle loads of users are transferred, flexible power consumption loads are released, power grid peak capacity is enhanced, load pressure during power consumption peak periods is greatly relieved, peak clipping and valley filling are achieved, energy is saved, emission is reduced, equipment utilization rate is improved, and power transmission and distribution infrastructure investment is reduced.
The cardinality of low-voltage users is huge, idle loads of the low-voltage users are mobilized, and thousands of households are enabled to participate in the construction of the multi-high-elasticity power grid through low-voltage demand side response to awaken 'sleeping resources', so that the method contributes to huge product value for the all-round evolution to the energy Internet, and has very important practical significance for promoting the construction and development of a multi-element fusion high-elasticity power grid.
The existing low-voltage users in the whole province range are more than 2000 million, the response potential of the low-voltage users is huge, the users have two modes of inviting and signing through the online national network APP to participate in electric energy mobilization, the low-voltage users are enabled to participate in response spontaneously, and a part of non-important electric loads (idle loads) are made.
The intelligent circuit breaker replaces the original ordinary circuit breaker for the user who participates in the electric energy dispatching, and after the power line of registering one's residence is connected into the intelligent circuit breaker, the interconnection and intercommunication with the electric power operation end is automatically realized through power line broadband carrier communication (HPLC) (the same principle as automatic meter searching, the concentrator automatically searches the asset number of the intelligent circuit breaker and communicates with the electric power operation end, establishes the archive of the intelligent circuit breaker, and is automatically matched under the house number). The contract signing mode is that a user signs an agreement with a power supply enterprise, and the power supply enterprise can cut off and transmit power in a set scheduling time period. The invitation mode is that the power supply enterprise sends invitation information to a user terminal of a user, the invitation information comprises a time period required to be switched off, the user operates on the user terminal to confirm receiving of the invitation, the confirmation information is fed back to the power utilization enterprise, and the power supply enterprise cuts off and transmits power in the calculated scheduling time period.
The highest power utilization load of 9628 ten thousand kilowatts in Zhejiang whole society at present is calculated according to 1kW responded by each low-voltage user, and in a response period, the demand response capacity of more than 2000 ten thousand kW can be theoretically formed, which accounts for about 20% of the highest load of the whole province, so that the load pressure in the power utilization peak period can be greatly relieved, the peak clipping and valley filling are achieved, and the effects of energy conservation and emission reduction are achieved. The intelligent switch at the low-voltage demand side awakens 'sleeping resources', and contributes to huge product value for building multiple high-elasticity power grids and comprehensively evolving to an energy internet.
An electric energy regulation and control method based on demand side management comprises the following steps:
s1, the power operation end sets the load to be dispatched, the load includes the load of the signing user and the load of the inviting user, and determines the candidate inviting user through the inviting; the method specifically comprises the following steps:
s11, the power operation terminal sets loads to be scheduled, calculates the loads of the signed users according to the number of the signed users, and calculates the loads of the invited users by subtracting the loads of the signed users; the load to be scheduled can be adjusted according to the situation regularly through direct setting, for example, the load to be scheduled is set to be 1000 kW according to the potential power load situation. And the next day of power load can be predicted in advance through load prediction, and then the set power grid load threshold value is subtracted according to the power grid operation condition to calculate the load to be scheduled. In this embodiment, it is assumed that 2000 ten thousand users in the whole province install an intelligent circuit breaker, and total load statistics is performed, that is, total load that can participate in scheduling in a response pool is total, the total load in the response pool includes a load of a contracted user and a load of an invited user, for example, 2000 ten thousand kW in total, the contracted user is 500 ten thousand users, the load of the contracted user is 500 ten thousand kW, and the load that needs to be invited is 1500 ten thousand kW. The load to be scheduled is set to be 1000 ten thousand kW in the present embodiment, and according to the assumption, 500 ten thousand kW is subtracted from the load of the contracted user, and 500 ten thousand kW is left to be invited.
S12, the power operation end sends invitation information to a user end of a non-signed user; not limited to the user, i.e., the remaining 1500 ten thousand users. The user side can be a mobile phone provided with a national network APP.
And S13, after receiving the offer information by the user, wherein the offer information comprises scheduling time interval information to be scheduled, and the user selects acceptance or rejection. The user side returns offer feedback information to the power operation side according to user operation, the power operation side judges whether the offer feedback information is an agreement or not, and the user with the feedback information as the agreement is determined as a candidate offer user.
S2, acquiring historical daily load data of the power grid and the candidate invited users, and respectively fitting a daily average load curve of the power grid and a daily average load curve of each user; the specific process comprises the following steps:
and S21, acquiring load history data of the power grid and the candidate offer user in the past n days, wherein the load history data of the past 30 days is adopted in the embodiment. And acquiring load historical data at set time points to obtain sampling data, wherein the time points are separated by delta t minutes, and the delta t is 20 minutes. Averaging the historical sampling data at the same time point every day to respectively obtain daily average sampling data Ai of a power grid and daily average sampling data Bi of users, wherein i =1, 2 … … and 72; the sample data record form includes time points and corresponding load values.
S22, constructing a daily load coordinate system of the power grid, and acquiring the minimum value A of the daily average sampling data set Ai of the power gridminSetting unit load of the power grid, generating a plurality of load values as Y-axis coordinate values, and selecting the load values which are less than and closest to AminThe load value is determined as a Y-axis initial value, unit time is set, a plurality of time points are generated by dividing the time of day and serve as X-axis coordinate values, and a power grid daily average load curve is fitted in a power grid daily load coordinate system according to power grid daily average sampling data Ai; as shown in the grid load graph of fig. 2, the load values 500 ten thousand kw and 1000 ten thousand kw … … are generated with 500 ten thousand kw as the unit load, and the minimum value a thereofminBetween 4500 kW and 5000 kW, 4500 kW is chosen as the starting value of the Y axis. Generating time points 1, 2 with 1 hour as unit time… … 24 are X coordinate values. And then constructing a daily load coordinate system of the power grid, and fitting a daily average load curve of the power grid in the daily load coordinate system of the power grid according to the daily average sampling data Ai of the power grid.
Constructing a daily load coordinate system of the user, and acquiring the minimum value B of the daily average adopted data set Bi of the userminSetting the load of the user unit, generating a plurality of load values as Y-axis coordinate values, and selecting the load value less than and closest to BminThe load value is determined as a Y-axis initial value, a day is divided into a plurality of time points which serve as X-axis coordinate values, and a user daily average load curve is fitted in a power grid daily load coordinate system according to user daily average sampling data Bi. As shown in FIG. 3, the load values 1kw, 2kw … … are generated with the load of 1kw as a unit, and the minimum value B thereof isminBetween 0 and 1kw, 0 is the Y-axis initial value, and likewise 1 hour is the unit time, and the generation time points 1, 2 … … 24 are X-axis coordinate values. And then constructing a daily load coordinate system of the user, and fitting a daily average load curve of the user in the daily load coordinate system of the power grid according to the daily average sampling data Bi of the user.
S3, respectively acquiring a power grid load peak time and each user load peak time according to the area ratio; the specific process comprises the following steps:
s31, acquiring a region surrounded by a coordinate system and a load curve as a power utilization region, dividing the power utilization region at intervals of delta T minutes on an X axis, and dividing a plurality of time-sharing regions; as shown in fig. 4, the power utilization area of the daily average load curve of the power grid in the coordinate system is selected, and the area surrounded by the X axis, the Y axis, the load curve and the line from the end of the curve to the X axis is used as the power utilization area. When the Δ T is set to 30 minutes, a vertical line is set at each half hour time point to divide the power consumption region, and thus 48 time-sharing regions are divided.
S32, calculating the area of each time-sharing region, and selecting the time-sharing region with the largest area as a central time-sharing region; the area calculation method adopts the calculation method for the irregular-shaped area in the prior art. If the time-sharing area is divided by adopting the unit lines, the top ends of the unit lines are connected by straight lines to form each trapezoidal strip, and the areas of the trapezoidal strips are calculated and added to obtain the approximate time-sharing area.
S33, selecting time-sharing areas from two sides one by taking the central time-sharing area as a center, calculating the panel ratio of the time-sharing area to the central time-sharing area, judging whether the area ratio is greater than A1, if so, marking the time-sharing area as a peak time-sharing area, selecting the repeated area ratio of the next time-sharing area for judgment, and if not, stopping selecting the time-sharing area; with the central time-sharing area as the center, selecting the adjacent time-sharing areas first, and judging the area ratio, wherein the area ratio calculation mode is as follows: (area of time-sharing zone/central time-sharing zone) × 100%, a1 is the set percentage value, in this embodiment, a1 is set to 85%. When the area ratio is larger than A1, the time sharing area is marked as a peak time sharing area, then the adjacent time sharing area of the time sharing area is selected to carry out the area ratio judgment, and the steps are repeated until the area ratio of the selected time sharing area is smaller than A1, and then the selection is stopped.
And S34, combining the obtained peak time sharing area and the central time sharing area to serve as a peak area, wherein the time period corresponding to the peak area is a peak time period, and thus, the power grid load peak time period and each user load peak time period are respectively obtained. As shown in fig. 4, the shaded portion is the peak area, and the peak time period corresponding to the shaded portion is 18:30-22: 00. As shown in fig. 5, peak hours of 18:30-21:30 are obtained on the user daily average load curve also according to the above steps.
S4, comparing the load peak time of the power grid with the load peak time of each user, acquiring coincident time periods, screening out coincident time periods meeting requirements and recording as invitation time periods, and recording users corresponding to the invitation time periods as invitation users; the method specifically comprises the following steps:
s41, screening out user load peak time periods which coincide with the power grid load peak time periods, and acquiring the coincident time periods and recording as coincident time periods; according to the above example, coincidence periods of 18:30-21:30 are obtained, in this example, the grid peak load period completely covers the user peak load period, and of course, there are cases of miscoincidence.
And S42, judging whether the duration of the coincidence time interval is greater than A2, if so, recording the coincidence time interval as an invitation time interval, and recording a user corresponding to the invitation time interval as an invitation user. At least two hours are needed for the power scheduling of the user, A2 is set to be 2 hours, a coincidence period with the duration being more than or equal to 2 hours is selected as an invitation period through comparison, and then the corresponding user is marked as an invitation user. The above process is repeated and all the offering users are selected from the candidate offering users.
Selecting the most electricity utilization period within the preferred duration from the invitation periods as a scheduling period of the invitation user, and generating a user dynamic scheduling instruction; many acquired offer periods are more than 2 hours, and the power scheduling process only needs 2 hours, so that 2 hours with the maximum power consumption need to be selected from the offer periods. The specific process comprises the following steps:
s51, setting an optimal duration; the preferable time period is set to 2 hours.
S52, acquiring each adjacent time division zone group with the duration equal to the preferred duration in the invitation period, and calculating the area of each time division zone group; comparing the power consumption by area, wherein the larger the area is, the more the power consumption is, calculating the area of the time sharing zone group formed by four adjacent time sharing zones according to the preferred time length, and acquiring the time sharing zone group with the largest area.
And S53, selecting the time division zone group with the largest area, recording the time period corresponding to the time division zone group as the scheduling time period of the invited user, and generating a user dynamic scheduling instruction. In this example, the time zone group area is obtained to be the largest in the time period from 19:00 to 21:00, the corresponding time period is from 19:00 to 21:00, and the time period is taken as the scheduling time of the corresponding invited user.
And S6, generating a fixed scheduling instruction according to a fixed time interval, sending the fixed scheduling instruction to the intelligent circuit breaker of the subscriber, and sending a dynamic scheduling instruction to the intelligent circuit breaker of the subscriber. In the fixed time period, a time period is set in advance in the peak time period of the power grid, for example, 18 to 20 points are selected in the embodiment, and subscribers are scheduled at fixed time every day.
The specific embodiments described herein are merely illustrative of the spirit of the invention. Various modifications or additions may be made to the described embodiments or alternatives may be employed by those skilled in the art without departing from the spirit or ambit of the invention as defined in the appended claims.
Although the terms user side, power operation side, power control side, concentrator, power collector, etc. are used more often herein, the possibility of using other terms is not excluded. These terms are used merely to more conveniently describe and explain the nature of the present invention; they are to be construed as being without limitation to any additional limitations that may be imposed by the spirit of the present invention.
Claims (7)
1. A method for regulating and controlling electric energy based on demand side management is characterized in that: the method comprises the following steps:
s1, a power operation end sets a load to be dispatched, wherein the load comprises a signed user load and an invitation user load, and candidate invitation users are determined through invitation;
s2, acquiring historical daily load data of the power grid and the candidate invited users, and respectively fitting a daily average load curve of the power grid and a daily average load curve of each user;
s3, respectively acquiring a power grid load peak time and each user load peak time according to the area ratio;
s4, comparing the load peak time of the power grid with the load peak time of each user, acquiring coincident time periods, screening out coincident time periods meeting requirements and recording as invitation time periods, and recording users corresponding to the invitation time periods as invitation users;
s5, selecting the most electricity utilization period in the preferred duration from the invitation periods as a scheduling period of the invitation user, and generating a user dynamic scheduling instruction;
and S6, generating a fixed scheduling instruction according to a fixed time interval, sending the fixed scheduling instruction to the intelligent circuit breaker of the subscriber, and sending a dynamic scheduling instruction to the intelligent circuit breaker of the subscriber.
2. The method for regulating and controlling electric energy based on demand side management as claimed in claim 1, wherein the step S1 specifically comprises:
s11, the power operation terminal sets loads to be scheduled, calculates the loads of the signed users according to the number of the signed users, and calculates the loads of the invited users by subtracting the loads of the signed users;
s12, the power operation end sends invitation information to a user end of a non-signed user;
and S13, the user side returns offer feedback information to the power operation side according to user operation, whether the offer feedback information is an agreement or not is judged, and the user with the feedback information as the agreement is determined as a candidate offer user.
3. The method for regulating and controlling electric energy based on demand side management as claimed in claim 1, wherein the step S2 specifically comprises:
s21, acquiring load historical data of a power grid and candidate invitation users in the past n days, acquiring the load historical data at set time points to obtain sampling data, wherein the time points are separated by delta t minutes, and averaging the sampling data at the same time point every day of the history to respectively obtain daily average sampling data Ai of the power grid and daily average sampling data Bi of the users, wherein i =1, 2 … …, k = 1440/[ delta ] t;
s22, constructing a daily load coordinate system of the power grid, and acquiring the minimum value A of the daily average sampling data set Ai of the power gridminSetting unit load of the power grid, generating a plurality of load values as Y-axis coordinate values, and selecting the load values which are less than and closest to AminThe load value is determined as a Y-axis initial value, unit time is set, a plurality of time points are generated by dividing the time of day and serve as X-axis coordinate values, and a power grid daily average load curve is fitted in a power grid daily load coordinate system according to power grid daily average sampling data Ai;
constructing a daily load coordinate system of the user, and acquiring the minimum value B of the daily average adopted data set Bi of the userminSetting the load of the user unit, generating a plurality of load values as Y-axis coordinate values, and selecting the load value less than and closest to BminThe load value is determined as a Y-axis initial value, a day is divided into a plurality of time points which serve as X-axis coordinate values, and a user daily average load curve is fitted in a power grid daily load coordinate system according to user daily average sampling data Bi.
4. The method for regulating and controlling electric energy based on demand side management as claimed in claim 3, wherein the step S3 specifically comprises:
s31, acquiring a region surrounded by a coordinate system and a load curve as a power utilization region, dividing the power utilization region at intervals of delta T minutes on an X axis, and dividing a plurality of time-sharing regions;
s32, calculating the area of each time-sharing region, and selecting the time-sharing region with the largest area as a central time-sharing region;
s33, selecting time-sharing areas from two sides one by taking the central time-sharing area as a center, calculating the panel ratio of the time-sharing area to the central time-sharing area, judging whether the area ratio is greater than A1, if so, marking the time-sharing area as a peak time-sharing area, selecting the repeated area ratio of the next time-sharing area for judgment, and if not, stopping selecting the time-sharing area;
and S34, combining the obtained peak time sharing area and the central time sharing area to serve as a peak area, wherein the time period corresponding to the peak area is a peak time period, and thus, the power grid load peak time period and each user load peak time period are respectively obtained.
5. The method for regulating and controlling electric energy based on demand side management as claimed in claim 4, wherein the step S4 specifically comprises:
s41, screening out user load peak time periods which coincide with the power grid load peak time periods, and acquiring the coincident time periods and recording as coincident time periods;
and S42, judging whether the duration of the coincidence time interval is greater than A2, if so, recording the coincidence time interval as an invitation time interval, and recording a user corresponding to the invitation time interval as an invitation user.
6. The method for regulating and controlling electric energy based on demand side management as claimed in claim 5, wherein the step S5 specifically comprises:
s51, setting an optimal duration;
s52, acquiring each adjacent time division zone group with the duration equal to the preferred duration in the invitation period, and calculating the area of each time division zone group;
and S53, selecting the time division zone group with the largest area, recording the time period corresponding to the time division zone group as the scheduling time period of the invited user, and generating a user dynamic scheduling instruction.
7. An electric energy regulation and control system based on demand side management, which adopts the method of any one of claims 1 to 6, and is characterized in that: comprises a user terminal (1), an electric power operation terminal (2) and an electric energy control terminal (3) which are connected through a wireless network,
the electric energy control end comprises a concentrator (4), a plurality of user electric energy collectors (5) and a plurality of intelligent circuit breakers (6) for controlling the on-off of electric appliances in a user room, wherein the concentrator is in communication connection with the electric power operation end, is respectively connected with each collector, is respectively connected with each intelligent circuit breaker in the user room, receives a scheduling instruction of the electric power operation end, sends the scheduling instruction to the corresponding user electric energy collectors through an electric power line, and sends the scheduling instruction to the corresponding intelligent circuit breakers through the electric power collectors;
the system comprises a power operation end, a user end and an electric energy control end, wherein the power operation end is used for receiving scheduling information or offer information of the power operation end, and returning offer feedback information to the electric energy control end according to user operation after receiving the offer information;
the power operation terminal distributes users needing power dispatching, analyzes the peak period of power consumption of the power grid and the users according to the average daily load curve of the power grid and the average daily load curve of the users, obtains the users with high coincidence degree of the peak periods of load of the power grid and the users, selects the period with the most power consumption in the optimized duration in the peak period of load coinciding with the users as the power dispatching period of the users, and converts the dispatching period into an instruction to be issued to the intelligent circuit breaker of the corresponding user for power dispatching.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115169999A (en) * | 2022-09-06 | 2022-10-11 | 浙江万胜智能科技股份有限公司 | Power load management method and system based on acquisition communication module |
| CN115459271A (en) * | 2022-11-07 | 2022-12-09 | 国网浙江省电力有限公司象山县供电公司 | Control method and allocation device for allocating power load |
| CN117895659A (en) * | 2024-03-14 | 2024-04-16 | 山东理工大学 | Automatic scheduling method and system for smart power grid |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115169999A (en) * | 2022-09-06 | 2022-10-11 | 浙江万胜智能科技股份有限公司 | Power load management method and system based on acquisition communication module |
| CN115459271A (en) * | 2022-11-07 | 2022-12-09 | 国网浙江省电力有限公司象山县供电公司 | Control method and allocation device for allocating power load |
| CN115459271B (en) * | 2022-11-07 | 2023-03-10 | 国网浙江省电力有限公司象山县供电公司 | Control method and allocation device for allocating power load |
| CN117895659A (en) * | 2024-03-14 | 2024-04-16 | 山东理工大学 | Automatic scheduling method and system for smart power grid |
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