CN112865081B - AGC (automatic gain control) peak regulation control method and system for load side resource participation master station - Google Patents

AGC (automatic gain control) peak regulation control method and system for load side resource participation master station Download PDF

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CN112865081B
CN112865081B CN202110062635.4A CN202110062635A CN112865081B CN 112865081 B CN112865081 B CN 112865081B CN 202110062635 A CN202110062635 A CN 202110062635A CN 112865081 B CN112865081 B CN 112865081B
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load
virtual unit
peak regulation
power grid
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CN112865081A (en
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宁剑
吴继平
徐瑞
江长明
于昌海
张哲�
涂孟夫
张勇
曹荣章
滕贤亮
刘爱梅
张小白
吕猛
顾云汉
郭斌琪
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North China Grid Co Ltd
NARI Nanjing Control System Co Ltd
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NARI Nanjing Control System Co Ltd
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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
    • 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
    • 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
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/381—Dispersed generators
    • 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
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
    • H02J3/466—Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
    • 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
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • 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
    • H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20—The dispersed energy generation being of renewable origin
    • 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
    • H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/40—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation wherein a plurality of decentralised, dispersed or local energy generation technologies are operated simultaneously
    • 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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Abstract

The invention discloses an AGC peak regulation control method and system for a load side resource participating master station, wherein the load side resources are aggregated and then equivalently converted into a load side resource virtual unit; the power grid master station outputs different control modes according to the input different data and power grid regulation and control requirements; calculating corresponding control targets of the adjustable load virtual unit under each peak regulation mode based on the adjustment characteristics of the adjustable load virtual unit and the peak regulation plan of the power grid; determining a corresponding control strategy based on the change trend of the control target of the next peak regulation control target point; and issuing the control target to the load aggregation provider in real time based on the obtained control strategy, and controlling the resources on each load side under aggregation by the load aggregation provider according to the control target. The invention realizes that the load side resource aggregation integrally participates in the peak regulation control of the power grid, expands the peak regulation resource of the power grid and improves the frequency control quality of the power grid.

Description

AGC (automatic gain control) peak regulation control method and system for load side resource participation master station
Technical Field
The invention belongs to the technical field of power system frequency control, and particularly relates to an AGC (automatic gain control) peak-shaving control method for a load side resource participation master station and an AGC peak-shaving control system for the load side resource participation master station.
Background
With the large-scale access of new energy to the power grid, the conventional thermal power supply is replaced on a large scale, so that the conventional rotational inertia of the power grid is continuously reduced, the conventional primary frequency modulation capability of the power grid is gradually weakened, and the risk problem of power grid frequency stability is gradually highlighted. With the development of a source-network-load-storage interaction technology and the popularization and application of an intelligent terminal, a load side adjusting resource becomes a new frequency adjusting control resource, the frequency modulation resource of a power grid can be expanded through excavation, aggregation and unified regulation, and the frequency control effect of the power grid is further improved on the premise that the power consumption experience of a user is not influenced.
Because the load side resources have the characteristics of operation disorder, dispersion, small single adjustable capacity and the like, at present, no operation experience exists for participating the aggregation control of the load side resources in the aggregation control of the master station, and various types of load side resources operate according to respective behavior characteristics, for example, the charging and discharging behaviors of electric automobiles have random disorder; in order to ensure that the income of individual users is optimal, the user side distributed energy storage determines an operation strategy according to the price difference arbitrage maximization; the temperature control load is independently operated under the influence of user behavior characteristics with the aim of optimal user experience as a target. The multiple types of flexible loads lack cooperative regulation and control, cannot participate in a power system, and exert resource values of the power system.
Experts and scholars at home and abroad participate in the dispatching of the power system on flexible load resources, demand response resources promote the consumption of wind power, and related research is carried out. For example, if literature references and wind power generation prediction uncertainty are considered, scheduling strategies of electricity price response type flexible load resources are formulated in the day ahead, in the day and in real-time multi-time scales respectively, and therefore more wind power resources are consumed. And domestic scholars respectively research aggregation models of distributed energy storage, electric vehicles and temperature control loads, and provide a scheme for various resources to participate in power grid dispatching to meet the rotating standby requirement based on operation constraints of different flexible loads, so that the stability and the economy of the system are improved. A flexible load resource and power grid interaction model based on system dynamics is researched, and the response quantity of the flexible load resource under the load demand and the time-of-use electricity price and the dynamic response characteristic of the system are effectively analyzed.
The above documents establish a solid technical foundation for load side resources to participate in power grid dispatching, but have the following disadvantages:
(1) the main research is related technical research carried out by taking the load as a main body of the power market, the load side resource is taken as a peak regulation resource to participate in power grid control, and how to safely and accurately execute a peak regulation target of the load side resource after participating in the market is not involved;
(2) after the load side resource participates in the control of the master station, the uncertainty of the output of the load side resource will seriously affect the clearing result of the load side resource tracking peak-shaving market.
Disclosure of Invention
The invention aims to overcome the defects in the prior art, provides an AGC peak regulation control method for a load side resource participating master station, and solves the technical problem that the influence of the output uncertainty of the load side resource participating master station control on the participating master station control in the prior art is solved.
In order to solve the technical problem, the invention provides an AGC peak regulation control method for a load side resource participating master station, which comprises the following steps:
equivalent load side resources aggregated by the load aggregation businessmen into an adjustable load virtual unit, and acquiring the adjusting characteristics of the adjustable load virtual unit, the power grid adjusting and controlling requirements and the peak shaving plan of the power grid;
determining a corresponding peak regulation mode based on the power grid regulation and control requirement of the adjustable load virtual unit;
calculating corresponding control targets of the adjustable load virtual unit under each peak regulation mode based on the adjustment characteristics of the adjustable load virtual unit and the peak regulation plan of the power grid;
determining a corresponding control strategy based on the change trend of the control target of the next peak regulation control target point;
and issuing the control target to the load aggregation provider in real time based on the obtained control strategy, and controlling the resources on each load side under aggregation by the load aggregation provider according to the control target.
Further, the power grid regulation and control requirements comprise remote signaling values of an AGC controllable signal and a peak regulation participation signal.
Further, the peak shaving plan of the power grid is a power generation plan value of 96 time points of a day of the adjustable load virtual unit.
Further, the peak shaving mode comprises:
local mode: in the mode, the adjustable load virtual unit is locally controlled by the aggregator, and the AGC of the power grid master station does not send a control instruction;
planning a peak shaving mode: in the mode, the control target of the adjustable load virtual unit is periodically generated by the power grid master station AGC according to a peak regulation plan and the regulation characteristic of the adjustable load virtual unit;
pre-control peak regulation mode: in the mode, the control target of the adjustable load virtual unit is also generated by the AGC (automatic gain control) of the power grid master station according to the peak regulation plan and the regulation characteristic of the adjustable load virtual unit, and the control target is continuously updated according to the actual response condition of the adjustable load virtual unit.
Further, the calculating a control target corresponding to the adjustable load virtual unit in each peak shaving mode based on the adjustment characteristic of the adjustable load virtual unit and the peak shaving plan of the power grid includes:
calculating a corresponding control target of the adjustable load virtual unit in a planned peak regulation mode based on the adjustment characteristic of the adjustable load virtual unit and the peak regulation plan of the power grid;
the calculation formula of the control target is shown in formula (1):
Figure BDA0002902916270000031
in the formula: pi-c(t) is a control target value of the ith adjustable load virtual unit at the moment t; pi-sk(tT+1) The load peak regulation plan value of the ith adjustable load virtual unit corresponding to the T +1 time period point at the moment T; pi-sk(tT) the time T corresponds to the peak regulation plan value of the starting time period point T; Δ T is the time period, TTThe time value of the starting time period point is corresponding to the time t, the time t is the current time, PiThe current output of the ith load virtual unit is obtained; ci-maxThe single maximum control target of the ith load virtual unit; pi-maxThe peak load regulation range is the upper limit of the peak load regulation range of the ith load virtual unit; pi-minAnd the peak shaving range lower limit of the ith load virtual machine set.
Further, the calculating a control target corresponding to the adjustable load virtual unit in each peak shaving mode based on the adjustment characteristic of the adjustable load virtual unit and the peak shaving plan of the power grid includes:
calculating a corresponding control target of the adjustable load virtual unit in a pre-control peak regulation mode based on the regulation characteristic of the adjustable load virtual unit and the peak regulation plan of the power grid, and specifically comprising the following steps:
setting corresponding pre-control time lead based on the adjusting characteristics of the adjustable load virtual unit; the calculation formula of the pre-control time advance is shown as the formula (2):
tpre＝tm-delay+ts-delay+treg (2)
in the formula: t is tpreIndicating the amount of advance of the pilot time, tm-delayControlling the delay, t, for the master station loads-delayDelay control for load aggregators load, tregAdjusting the delay for the load control itself;
the method comprises the following steps of obtaining a delivered load peak regulation plan value in advance according to a pre-control time advance, monitoring the actual tracking condition of an adjustable load control object in real time, and obtaining a control instruction deviation, wherein the calculation formula is as follows (3):
Figure BDA0002902916270000041
in the formula: p isi-sk(t) is the control target value, P, of the ith adjustable load virtual unit at the moment ti-sk(tT+1+tpre) The peak regulation planning value of the T +1 time period considering the pre-control time lead; pi-sk(tT+tpre) The peak regulation planning value of the T period considering the pre-control time lead; Δ t is a time offset; delta Pi-c(t) is the control instruction deviation of the ith load-adjustable virtual unit at the moment t; pi(t) the current output of the ith load-adjustable virtual unit at the moment t; pi-cAnd (t) is the control target value of the ith adjustable load virtual unit at the moment t.
Further, the determining a corresponding control strategy based on the variation trend of the control target of the next peak shaving control target point includes:
if the change trend of the control target of the next peak-shaving control target point is down-shaving, then for the load side resource with better regulation performance, a control strategy with a small front part and a large back part is adopted for regulating the step length; for the load side resource with poor adjusting performance, the adjusting step length adopts a control strategy of front big and back small.
If the change trend of the control target of the next peak-shaving control target point is up-shaving, then for the load side resource with better regulation performance, a control strategy with a big front and a small back is adopted for regulating the step length; for the load side resource with poor regulation performance, a control strategy with a small front part and a large back part is adopted for regulating the step length.
Further, the method also comprises the following steps:
after a control instruction is issued to the adjustable load virtual unit, monitoring the actual response condition of the adjustable load in real time;
and if the actual response situation continuously deviates from the control target in the given control period, recalculating the control target and the control strategy according to the latest adjusting characteristic and the latest time of the adjustable load, and issuing the control command again.
Correspondingly, the invention also provides an AGC peak regulation control system for a load side resource participating master station, which comprises:
the data acquisition module is used for equating the load side resources aggregated by the load aggregation businessmen into an adjustable load virtual unit and acquiring the adjustment characteristics of the adjustable load virtual unit, the power grid regulation and control requirements and the peak regulation plan of the power grid;
the peak regulation mode determination module is used for determining a corresponding peak regulation mode based on the power grid regulation and control requirement of the adjustable load virtual unit;
the control target calculation module is used for calculating corresponding control targets of the adjustable load virtual unit in each peak regulation mode based on the adjustment characteristics of the adjustable load virtual unit and the peak regulation plan of the power grid;
the control strategy determination module is used for determining a corresponding control strategy based on the change trend of the control target of the next peak regulation control target point;
and the peak regulation control module is used for issuing the control target to the load aggregator in real time based on the obtained control strategy, and the load aggregator controls the resources on each load side under aggregation according to the control target.
Further, the system also comprises a feedback control module which is used for monitoring the actual response condition of the adjustable load in real time; and if the actual response situation continuously deviates from the control target in the given control period, recalculating the control target and the control strategy according to the latest adjusting characteristic and the latest time of the adjustable load, and issuing the control command again.
Compared with the prior art, the invention has the following beneficial effects: the invention realizes the participation of a large amount of distributed load side resources under capacity in the peak regulation control of the power grid, reduces the influence of the output uncertainty of the load side resources on the participation of the master station control, further expands the peak regulation resources of the power grid, improves the frequency control quality of the power grid, and is widely applied to occasions of large-scale new energy access to the power grid, frequency and tie line power control of the power grid with insufficient conventional peak regulation reserve and the like.
Drawings
In order that the manner in which the present invention is more fully understood, a more particular description of the invention will be rendered by reference to specific embodiments thereof which are illustrated in the appended drawings, wherein:
FIG. 1 is a schematic diagram of a load side automatic participation master station AGC control architecture;
FIG. 2 is a diagram illustrating the correspondence between time and time period;
FIG. 3 is an adjustable load variable step control strategy: (a) the front small and back large variable step (b) is a front large and back small variable step.
Detailed Description
The invention is further described below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
Aiming at the output uncertainty of the load side resource after participating in the master station control, the invention provides an AGC control strategy of the load side resource participating in the master station, a peak regulation control strategy of the participating power grid and a power flexible control method, reduces the influence of the output uncertainty of the load side resource on the control of the participating master station, and ensures that the load side resource can safely, stably and reliably execute the master station control target. By aggregating the load side resources as an equivalent virtual unit to perform modeling and participate in power grid peak shaving Control in a power grid AGC (Automatic Generation Control), the distributed load side resources with large quantity and capacity are realized to participate in the power grid peak shaving Control.
Example 1
As shown in fig. 1, after the load side resources are aggregated, the load side resources are equivalent to an adjustable load virtual unit, and the adjustment process of the virtual unit is realized by a load aggregator controlling a single load side resource, so as to finally realize response to the peak shaving control demand of the power grid.
The invention discloses an AGC peak regulation control method for a load side resource participating master station, which mainly comprises the following steps:
step 1) the aggregated load side resources of the load aggregators are equivalent to an adjustable load virtual unit, and the adjustable load virtual unit responds to the control target of the power grid by using a switch or continuously adjusting the output power of the load through the intermediate aggregators and is used for realizing the participation of the low-capacity and large-quantity load side resources in the automatic AGC power control of the power grid.
And 2) adding an adjustable load virtual unit into an AGC control system of a provincial power grid master station (hereinafter referred to as the AGC of the power grid master station) to construct a power grid peak regulation control object model. The power grid peak regulation control object model is a control parameter module necessary for the unit to participate in power grid peak regulation control.
The power grid peak regulation control object model comprises static model data and dynamic model data:
the static model data is set by a power grid master station through parameters and mainly comprises a load side resource type, an adjusting type, a maximum adjusting amount, duration, adjusting precision and the like;
the dynamic model data is two kinds of data of remote signaling and remote measuring which are input to a main station of the power grid in real time by a resource aggregator on the load side. The remote signaling data comprises: AGC controllable signals, peak regulation participation signals; the telemetry class data includes: the current output of the load-adjustable virtual unit, the upper limit of the power of the load-adjustable virtual unit and the lower limit of the power of the load-adjustable virtual unit can be adjusted.
And 3) setting different control modes by the AGC of the power grid master station according to different data input by the adjustable load virtual unit and power grid regulation and control requirements. When remote signaling values of AGC controllable signals and peak regulation participation signals sent to the AGC of the power grid master station by the adjustable load virtual unit are 'combined', the AGC of the power grid master station sets the adjustable load virtual unit to be in a 'planned peak regulation mode' or a 'pre-controlled peak regulation mode' according to power grid regulation and control requirements.
The control mode of adjustable load virtual unit in electric wire netting main website includes three kinds of modes, includes:
(1) local mode: in the mode, the adjustable load virtual unit is locally controlled by the aggregator, and the AGC of the power grid master station does not issue a control instruction.
(2) Planning a peak shaving mode: the control target of the adjustable load virtual unit in the mode is a peak regulation plan of a power grid, an AGC (automatic gain control) of a power grid master station periodically generates the control target according to the current time and the peak regulation plan and then issues a control instruction to the adjustable load virtual unit.
(3) Pre-control peak regulation mode: the control target of the adjustable load virtual unit in the mode is also the peak shaving plan of the power grid, meanwhile, the AGC of the power grid master station generates the control target according to the peak shaving plan and the adjusting characteristic of the virtual unit, and continuously updates the control target according to the actual response condition of the adjustable load.
And step 4) when the control mode of the load-adjustable virtual unit is a 'planning peak regulation mode', the regulation and control process is as follows:
(41) the power grid master station AGC firstly obtains a load peak-load regulation planning curve of the adjustable load virtual unit, wherein the curve is a power generation planning value at 96 time points in one day, namely, one time point every 15 minutes.
(42) After the power grid master station AGC obtains a peak shaving plan curve of the adjustable load virtual unit, carrying out interpolation calculation on the load peak shaving plan curve according to a fixed time interval (for example, 1 minute) to obtain a peak shaving plan value at each moment;
(43) and finally, calculating to obtain a control target of the adjustable load virtual unit according to factors such as the peak shaving plan value, the current output, the peak shaving range, the control instruction safety requirement and the like of the adjustable load virtual unit.
The calculation formula of the control target is shown in formula (1):
Figure BDA0002902916270000091
in the formula: pi-c(t) is the control target value of the ith adjustable load virtual unit at the moment t; pi-sk(tT+1) The load peak regulation plan value of the ith adjustable load virtual unit corresponding to the time point T +1 at the time moment T; pi-sk(tT) the time T corresponds to the peak regulation plan value of the starting time period point T; Δ T is the time period (typically 15 minutes), TTThe time value of the starting time period point is corresponding to the time t, the time t is the current time, PiThe current output of the ith load virtual unit is obtained; ci-maxThe single maximum control target of the ith load virtual unit; pi-maxThe peak load regulation range is the upper limit of the peak load regulation range of the ith load virtual unit; p isi-minAnd the peak shaving range lower limit of the ith load virtual machine set.
For ease of understanding, time t and period tTSee fig. 2.
And step 5) when the control mode of the adjustable load virtual unit is the pre-control peak regulation mode, under the pre-control peak regulation mode, the control target of the adjustable load virtual unit is also derived from the load peak regulation plan value, and after the power grid master station AGC acquires the plan peak regulation curve of the adjustable load virtual unit, the corresponding control target is formed according to the time interval, the load actual tracking result and the peak regulation plan value.
The regulation and control process comprises the following steps:
(51) firstly, different pre-control time lead amounts are set according to adjustable load control objects with different types, different control paths and different adjusting capabilities.
The calculation formula of the pre-control time advance is shown as formula (2):
tpre＝tm-delay+ts-delay+treg (2)
in the formula: t is tpreIndicating the amount of advance of the pilot time, tm-delayControlling the delay, t, for the master station loads-delayDelay control for load aggregators load, tregThe delay is adjusted for the load control itself.
(52) And (3) obtaining a delivered load peak regulation plan value in advance according to the pre-control time advance, and simultaneously monitoring the actual tracking condition of the adjustable load control object in real time to obtain a control instruction deviation, wherein the calculation formula is as shown in the formula (3).
Figure BDA0002902916270000101
In the formula: pi-sk(t) is the control target value, P, of the ith adjustable load virtual unit at the moment ti-sk(tT+1+tpre) The peak regulation planning value of the T +1 time period considering the pre-control time lead; pi-sk(tT+tpre) The peak regulation planning value of the T time interval with the pre-control time lead taken into consideration; Δ t is a time offset; delta Pi-c(t) is the control instruction deviation of the ith adjustable load virtual unit at the moment t; pi(t) the current output of the ith load-adjustable virtual unit at the moment t; pi-cAnd (t) is the control target value of the ith adjustable load virtual unit at the moment t.
Step 6) because the difference of the resource adjusting characteristics at the load side is large, for example, the distributed energy storage, electric automobile and temperature control load have large difference in control mode and adjusting capability aiming at tTTo tT+1The variation trend of the control target (up-regulation is increased output, and down-regulation is decreased output) in the time interval of (1) respectively adopts the control strategies of variable step length and gradual correction.
(61) If the next peak-shaving control target point is load shedding (the change trend of the control target is down), then for the load side resource with better regulation performance, a control strategy with a small front and a large back can be adopted for the regulation step length, namely, according to the deviation of the control instruction, the regulation step length is decomposed into a plurality of step instructions with different step lengths, but the step amount is gradually increased. Through the variable step length adjusting instruction, the load resource adjusting process can meet the peak regulation target requirement, can use electricity as much as possible, and meets the power grid economic requirement. For the load side resource with poor regulation performance, a control strategy with a big front and a small back can be adopted for the regulation step length, namely, the load side resource with poor regulation performance is decomposed into a plurality of step instructions with different step lengths according to the deviation of the control instruction, but the step amount is gradually reduced, so that the load side resource with poor regulation performance can normally track the control target requirement, and the colleagues meeting the peak regulation target requirement can meet the safety requirement of the power grid.
(62) If the next peak-shaving control target point is to increase the load (the change trend of the control target is up-shaving), then for the load side resource with better regulation performance, a control strategy with a larger front part and a smaller rear part can be adopted for the regulation step length, namely, according to the deviation of the control instruction, the regulation step length is decomposed into a plurality of step instructions with different step lengths, but the step amount is gradually reduced. Through the variable step length adjusting instruction, the load resource adjusting process can meet the peak regulation target requirement, can use electricity as much as possible, and meets the power grid economic requirement. For the load side resource with poor regulation performance, a control strategy with a small front part and a large back part can be adopted for the regulation step length, namely, the regulation step length is decomposed into a plurality of step instructions with different step lengths according to the deviation of the control instruction, but the step amount is gradually increased, so that the load side resource with poor regulation performance can normally track the control target requirement, and the colleagues meeting the peak regulation target requirement can meet the safety requirement of the power grid.
FIG. 3 shows an adjustable load variable step control strategy: (a) the front small and back large variable step (b) is a front large and back small variable step.
(63) After a control instruction is issued to the adjustable load virtual unit, the actual response condition of the adjustable load is monitored in real time through the power grid master station AGC, if the adjustable load virtual unit continuously deviates from a control target within a given control time period (for example, 1 minute), the power grid master station AGC immediately recalculates the control target and the control step length according to the latest active value and the latest time of the adjustable load, and the control instruction is issued again.
And 7) after the power grid master station AGC adopts a corresponding control mode and an instruction control strategy, forming a control target of a corresponding load side virtual unit, issuing the control target to the load aggregator in real time, and controlling each aggregated load control object (load side resource) by the load aggregator according to the control target issued by the power grid master station AGC.
The invention realizes the participation of a large amount of distributed load side resources under capacity in the peak regulation control of the power grid, reduces the influence of the output uncertainty of the load side resources on the participation of the master station control, further expands the peak regulation resources of the power grid, improves the frequency control quality of the power grid, and is widely applied to occasions of large-scale new energy access to the power grid, frequency and tie line power control of the power grid with insufficient conventional peak regulation reserve and the like.
Example 2
The invention relates to an AGC peak regulation control system of a load side resource participation master station, which comprises:
the data acquisition module is used for equating the load side resources aggregated by the load aggregation businessmen into an adjustable load virtual unit and acquiring the adjustment characteristics of the adjustable load virtual unit, the power grid regulation and control requirements and the peak regulation plan of the power grid;
the peak regulation mode determination module is used for determining a corresponding peak regulation mode based on the power grid regulation and control requirement of the adjustable load virtual unit;
the control target calculation module is used for calculating corresponding control targets of the adjustable load virtual unit in each peak regulation mode based on the regulation characteristics of the adjustable load virtual unit and the peak regulation plan of the power grid;
the control strategy determination module is used for determining a corresponding control strategy based on the change trend of the control target of the next peak regulation control target point;
and the peak regulation control module is used for issuing the control target to the load aggregator in real time based on the obtained control strategy, and the load aggregator controls the resources on each load side under aggregation according to the control target.
Further, the system also comprises a feedback control module which is used for monitoring the actual response condition of the adjustable load in real time; and if the actual response situation continuously deviates from the control target in the given control period, recalculating the control target and the control strategy according to the latest adjusting characteristic and the latest time of the adjustable load, and issuing the control command again.
The specific implementation scheme of each module of the system of the invention is referred to the specific implementation process of the method.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above description is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, several modifications and variations can be made without departing from the technical principle of the present invention, and these modifications and variations should also be regarded as the protection scope of the present invention.

Claims (7)

1. A load side resource participation master station AGC peak regulation control method is characterized by comprising the following processes:
equivalent load side resources aggregated by the load aggregation businessmen into an adjustable load virtual unit, and acquiring the adjusting characteristics of the adjustable load virtual unit, the power grid adjusting and controlling requirements and the peak shaving plan of the power grid;
determining a corresponding peak regulation mode based on the power grid regulation and control requirement of the adjustable load virtual unit;
calculating corresponding control targets of the adjustable load virtual unit under each peak regulation mode based on the adjustment characteristics of the adjustable load virtual unit and the peak regulation plan of the power grid;
determining a corresponding control strategy based on the change trend of the control target of the next peak regulation control target point;
issuing a control target to a load aggregator in real time based on the obtained control strategy, and controlling each aggregated load side resource by the load aggregator according to the control target;
the peak shaving mode comprises:
the local mode is as follows: in the mode, the adjustable load virtual unit is locally controlled by an aggregator, and the AGC (automatic gain control) of the power grid master station does not send out a control instruction;
planning a peak shaving mode: in the mode, the control target of the adjustable load virtual unit is periodically generated by the power grid master station AGC according to a peak regulation plan and the regulation characteristic of the adjustable load virtual unit;
pre-control peak regulation mode: in the mode, the control target of the adjustable load virtual unit is also generated by the AGC of the power grid master station according to the peak shaving plan and the adjusting characteristic of the adjustable load virtual unit, and the control target is continuously updated according to the actual response condition of the adjustable load virtual unit;
the calculating of the corresponding control targets of the adjustable load virtual unit in each peak regulation mode based on the regulation characteristics of the adjustable load virtual unit and the peak regulation plan of the power grid comprises the following steps:
calculating a corresponding control target of the adjustable load virtual unit in a planned peak regulation mode based on the adjustment characteristic of the adjustable load virtual unit and the peak regulation plan of the power grid;
the calculation formula of the control target is shown in formula (1):
Figure FDA0003631277620000021
in the formula: pi-c(t) is the control target value of the ith adjustable load virtual unit at the moment t; pi-sk(tT+1) The load peak regulation plan value of the ith adjustable load virtual unit corresponding to the T +1 time period point at the moment T; pi-sk(tT) The peak regulation plan value of the starting time period point T is corresponding to the time T; Δ T is the time period, TTThe time value of the starting time period point is corresponding to the time t, the time t is the current time, PiThe current output of the ith load virtual unit is obtained; ci-maxThe single maximum control target of the ith load virtual unit; pi-maxThe peak load regulation range is the upper limit of the peak load regulation range of the ith load virtual unit; pi-minThe peak load regulation range lower limit of the ith load virtual unit;
the calculating of the corresponding control target of the adjustable load virtual unit under each peak regulation mode based on the adjustment characteristics of the adjustable load virtual unit and the peak regulation plan of the power grid comprises the following steps:
calculating a control target corresponding to the adjustable load virtual unit in a pre-control peak regulation mode based on the regulation characteristic of the adjustable load virtual unit and the peak regulation plan of the power grid, and specifically comprising the following steps:
setting corresponding pre-control time lead based on the adjusting characteristics of the adjustable load virtual unit; the calculation formula of the pre-control time advance is shown as the formula (2):
tpre＝tm-delay+ts-delay+treg (2)
in the formula: t is tpreIndicating the amount of advance of the pilot time, tm-delayFor the main station loadControl delay, ts-delayDelay control for load aggregators load, tregAdjusting the delay for the load control itself;
the method comprises the following steps of obtaining a delivered load peak regulation plan value in advance according to a pre-control time advance, monitoring the actual tracking condition of an adjustable load control object in real time, and obtaining a control instruction deviation, wherein the calculation formula is as follows (3):
Figure FDA0003631277620000031
in the formula: pi-sk(t) is the control target value, P, of the ith adjustable load virtual unit at the moment ti-sk(tT+1+tpre) The peak regulation plan value of T +1 time period for considering the pre-control time lead; pi-sk(tT+tpre) The peak regulation planning value of the T time interval with the pre-control time lead taken into consideration; Δ t is a time offset; delta Pi-c(t) is the control instruction deviation of the ith load-adjustable virtual unit at the moment t; pi(t) the current output of the ith load-adjustable virtual unit at the moment t; pi-cAnd (t) is the control target value of the ith adjustable load virtual unit at the moment t.
2. The AGC peak regulation control method for the load side resource participation master station as claimed in claim 1, wherein the power grid regulation and control demand comprises remote signaling values of an AGC controllable signal and a peak regulation participation signal.
3. The AGC peak regulation control method for the load side resource participation master station as claimed in claim 1, wherein the peak regulation plan of the power grid is a power generation plan value of 96 time slots per day of the adjustable load virtual unit.
4. The method as claimed in claim 1, wherein the determining a corresponding control strategy based on a variation trend of a control target of a next peak-shaving control target point comprises:
if the change trend of the control target of the next peak-shaving control target point is down-shaving, then for the load side resource with better regulation performance, a control strategy with a small front part and a large back part is adopted for regulating the step length; for the load side resource with poor regulation performance, a control strategy of front big and back small is adopted for regulating the step length;
if the change trend of the control target of the next peak-shaving control target point is up-shaving, then for the load side resource with better regulation performance, a control strategy with a big front and a small back is adopted for regulating the step length; for the load side resource with poor regulation performance, a control strategy with a small front part and a large back part is adopted for regulating the step length.
5. The method of claim 1, wherein the method further comprises:
after a control instruction is issued to the adjustable load virtual unit, monitoring the actual response condition of the adjustable load in real time;
and if the actual response situation continuously deviates from the control target in the given control period, recalculating the control target and the control strategy according to the latest adjusting characteristic and the latest time of the adjustable load, and issuing the control command again.
6. A system according to claim 1, wherein the system for the load side resource to participate in the AGC peak shaver control method of the master station, comprises:
the data acquisition module is used for enabling the load side resources aggregated by the load aggregators to be equivalent to an adjustable load virtual unit and acquiring the adjustment characteristics of the adjustable load virtual unit, the power grid regulation and control requirements and the peak regulation plan of the power grid;
the peak regulation mode determination module is used for determining a corresponding peak regulation mode based on the power grid regulation and control requirement of the adjustable load virtual unit;
the control target calculation module is used for calculating corresponding control targets of the adjustable load virtual unit in each peak regulation mode based on the adjustment characteristics of the adjustable load virtual unit and the peak regulation plan of the power grid;
the control strategy determination module is used for determining a corresponding control strategy based on the change trend of the control target of the next peak regulation control target point;
and the peak regulation control module is used for issuing the control target to the load aggregator in real time based on the obtained control strategy, and the load aggregator controls the resources on each load side under aggregation according to the control target.
7. The system of claim 6, further comprising a feedback control module for monitoring an actual response condition of the adjustable load in real time; and if the actual response situation continuously deviates from the control target in the given control period, recalculating the control target and the control strategy according to the latest adjusting characteristic and latest time of the adjustable load, and retransmitting the control command.
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