CN113507141B - Virtual power plant equivalent closed-loop control method, system, electronic equipment and storage medium - Google Patents
Virtual power plant equivalent closed-loop control method, system, electronic equipment and storage medium Download PDFInfo
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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
- H02J3/38—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
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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
- 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
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
- H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
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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
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
- H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
- H02J3/322—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means the battery being on-board an electric or hybrid vehicle, e.g. vehicle to grid arrangements [V2G], power aggregation, use of the battery for network load balancing, coordinated or cooperative battery charging
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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
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
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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
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A30/00—Adapting or protecting infrastructure or their operation
- Y02A30/60—Planning or developing urban green infrastructure
-
- 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
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/10—Technologies relating to charging of electric vehicles
- Y02T90/16—Information or communication technologies improving the operation of electric vehicles
- Y02T90/167—Systems integrating technologies related to power network operation and communication or information technologies for supporting the interoperability of electric or hybrid vehicles, i.e. smartgrids as interface for battery charging of electric vehicles [EV] or hybrid vehicles [HEV]
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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
-
- 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
- Y04S30/00—Systems supporting specific end-user applications in the sector of transportation
- Y04S30/10—Systems supporting the interoperability of electric or hybrid vehicles
- Y04S30/14—Details associated with the interoperability, e.g. vehicle recognition, authentication, identification or billing
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Abstract
The invention relates to the field of operation and control of power systems, and discloses an equivalent closed-loop control method, an equivalent closed-loop control system, electronic equipment and a storage medium of a virtual power plant, wherein the method comprises the following steps: receiving a power grid adjustment instruction; judging whether the regulating instruction is in the control capacity range of the virtual power plant, and performing controllable resource allocation to form a control instruction of each controllable resource; in each sampling period of the virtual power plant, the controllable resources operate according to the distributed control instructions, and the response power of each controllable resource is monitored and calculated; judging whether the response power of each controllable resource is sufficient or not; when the controllable resource response power is insufficient, calculating the generated potential response deficiency, and periodically taking the potential response deficiency as a new control instruction; otherwise, the control is ended. The invention considers the uncertainty of the load side resource response, fully utilizes the historical response data of the controllable resource, carries out cyclic iteration correction on the response deviation of the controllable resource, and gradually approaches the virtual power plant control target, thereby realizing equivalent closed-loop accurate control.
Description
Technical Field
The invention relates to the field of operation and control of power systems, in particular to a virtual power plant equivalent closed-loop control method, a system, electronic equipment and a storage medium considering uncertainty of load side resource response.
Background
Controllable load: meaning that under power department requirements, the load of a particular user who uses electricity for a period of time can be limited by contract.
Virtual power plant: the system is a power coordination management system which is used for realizing the aggregation and coordination optimization of resources such as a distributed power supply, an energy storage system, a controllable load, an electric automobile and the like through an advanced information communication technology and a software system, and is used as a special power plant to participate in spot market and power grid operation.
The power control method has the advantages that load side resources such as electric automobiles, energy storage, air conditioners and intelligent buildings are used as control objects of the virtual power plant, power control instructions can be received and executed, rich power control potential is provided for the virtual power plant, however, a large amount of load side resources are constrained by the electricity demand of users for production and life, obvious autonomy and uncertainty exist in response power, and when overshoot or undershoot occurs, the virtual power plant cannot feed back and correct the control instructions, so that closed loop control on the internal load side controllable resources of the virtual power plant in the traditional sense is difficult to achieve by the virtual power plant, and how to improve control accuracy becomes a problem to be solved in the control of the virtual power plant.
Disclosure of Invention
The invention aims to provide an equivalent closed-loop control method, an equivalent closed-loop control system, electronic equipment and a storage medium for a virtual power plant, which are used for considering uncertainty of load-side resource response, fully utilizing historical response data of controllable resources, carrying out loop iterative correction on response deviation of the controllable resources, and gradually approaching a virtual power plant control target, so that equivalent closed-loop accurate control is realized.
In order to achieve the above purpose, the present invention adopts the following technical scheme:
in a first aspect, the present invention provides an equivalent closed-loop control method for a virtual power plant, including the following steps:
receiving a power grid adjustment instruction;
judging whether the regulating command is in the control capacity range of the virtual power plant; when the regulating command exceeds the maximum regulating capacity of the virtual power plant, the virtual power plant controls according to the maximum regulating capacity, fully distributes the managed controllable resources to form a first control command of each controllable resource, and feeds back the lack of the control command which fails to respond; when the regulating command does not exceed the maximum regulating capability of the virtual power plant, distributing the regulating command among the internal controllable resources to form a second control command of each controllable resource;
the controllable resources operate according to the allocated first control instruction or second control instruction, and the response power of each controllable resource is monitored and calculated in each sampling period of the virtual power plant;
judging whether the response power of each controllable resource is sufficient or not; when the controllable resource response power is insufficient, calculating the generated potential response deficiency, and periodically taking the potential response deficiency as a new control instruction; otherwise, the control is ended.
The invention is further improved in that: in the step of judging whether the regulation command is within the control capability range of the virtual power plant, the judgment is based on the following formula (1):
wherein P is obj A power grid regulation command; p (P) VPPmax Representing a maximum regulation capacity of the virtual power plant; p (P) imax Representing the maximum regulating capacity of controllable resources i in the virtual power plant; n represents the number of controllable resources in the virtual power plant; s is S i Representing the response reliability of the controllable resource i, and performing statistical calculation by a formula (2);
s i ＝Pr{P iact |P iact ≥P iiss } (2)
P iact for the actual response power of the controllable resource i, P iiss Control instructions for controllable resource i.
The invention is further improved in that: when the regulating command exceeds the maximum regulating capability of the virtual power plant, the virtual power plant controls according to the maximum regulating capability, fully distributes the managed controllable resources to form a first control command of each controllable resource, and feeds back the control command deficiency which fails to respond, wherein in the step of feeding back the control command deficiency which fails to respond, the control command difference delta P which fails to respond is calculated by a formula (3);
the invention is further improved in that: when the regulating command exceeds the maximum regulating capability of the virtual power plant, the virtual power plant controls according to the maximum regulating capability, the full allocation of the managed controllable resources forms a first control command of each controllable resource, and in the step of feeding back the lack of the control command which fails to respond, the first control command of each controllable resource under the full allocation of the managed controllable resources is calculated by a formula (4):
P iiss ＝P imax (4)。
the invention is further improved in that: and when the regulating command does not exceed the maximum regulating capability of the virtual power plant, the step of distributing the regulating command among the internal controllable resources to form a second control command of each controllable resource specifically comprises the following steps:
the power grid regulation command is distributed among internal controllable resources, and the distribution principle is as follows: according to the reverse order of the priority of each resource response reliability, firstly selecting a controllable resource allocation control instruction with high response reliability until the formula (5) is satisfied; the second control instruction of each controllable resource is calculated according to a formula (6);
P iiss ＝P imax ·s i (6)
wherein epsilon is the allowable control deviation of the virtual power plant; alpha i The maximum forward response bias per unit value is historic for the controllable resource i.
The invention is further improved in that: the step of judging whether the response power of each controllable resource is sufficient specifically comprises the following steps:
dividing controllable resources into two types, wherein one type is continuous regulation type, and judging according to historical response speed and current response power, as shown in a formula (9); the other type is discrete regulation type, and is judged according to comparison between the historical response power and the current response power, as shown in a formula (10);
v i kT sca -P iact (t k )≤ε i (9)
P iact_his (t k )-P iact (t k )≤ε i (10)
wherein P is iact (t k ) Response power of controllable resource i in the kth sampling period; v i For the historical statistical response speed of the controllable resource i, T sca For the sampling period of controllable resources by the virtual power plant, P iact_his (t k ) Historical response power for controllable resource i.
The invention is further improved in that: the step of calculating the generated potential response deficiency when the controllable resource response power is insufficient and taking the potential response deficiency as a new control command periodically comprises the following steps:
calculating potential response shortages P that may occur according to equation (11) vac And periodically taking the new control command;
in phi, phi vac To respond to an insufficient set of controllable resources; p (P) ivac (t k ) Potential response shortages generated for controllable resource i; the potential response deficiency of the continuously-regulated controllable resource is calculated by the formula (12), and the potential response deficiency of the discretely-regulated controllable resource is calculated by the formula (13):
P ivac (t k )＝P iiss ·[v i kT sca -P iact (t k )]/v i kT sca (12)
P ivac (t k )＝P iiss ·[P iact_his (t k )-P iact (t k )]/P iact_his (t k ) (13)。
in a second aspect, the present invention provides an equivalent closed-loop control device for a virtual power plant, comprising:
the receiving module is used for receiving the power grid adjustment instruction;
the first judging module is used for judging whether the adjusting instruction is in the control capacity range of the virtual power plant; when the regulating command exceeds the maximum regulating capacity of the virtual power plant, the virtual power plant controls according to the maximum regulating capacity, fully distributes the managed controllable resources to form control commands of each controllable resource, and feeds back the lack of the control commands which cannot be responded; when the regulating command does not exceed the maximum regulating capability of the virtual power plant, distributing the regulating command among internal controllable resources to form a control command of each controllable resource;
the monitoring module is used for monitoring and calculating the response power of each controllable resource according to the operation of the allocated control instruction in each sampling period of the virtual power plant;
the second judging module is used for judging whether the response power of each controllable resource is sufficient or not; when the controllable resource response power is insufficient, calculating the generated potential response deficiency, and periodically taking the potential response deficiency as a new control instruction; otherwise, the control is ended.
In a third aspect, the present invention provides an electronic device, the electronic device comprising a processor and a memory, the processor being configured to execute a computer program stored in the memory to implement the virtual power plant equivalent closed loop control method.
In a fourth aspect, the present invention provides a computer readable storage medium storing at least one instruction that when executed by a processor implements the virtual power plant equivalent closed loop control method.
Compared with the prior art, the invention has the following beneficial effects:
the invention provides an equivalent closed-loop control method, a system, electronic equipment and a storage medium of a virtual power plant, which are characterized in that firstly, the historical maximum forward response deviation of managed controllable resources is considered to decompose a control instruction, then, in a virtual power plant control period, the historical response statistical data of each controllable resource is utilized to monitor and pre-judge the response condition of each controllable resource, the potential power deficiency in the control period is calculated, and the potential power deficiency is used as a new control target to carry out cyclic iterative control on the controllable resources which do not participate in over-regulation, so that the virtual power plant control target is gradually approximated, and the equivalent closed-loop accurate control is realized; the power control precision of the virtual power plant can be improved on the basis of meeting the constraint of the power consumption requirement of the user.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention. In the drawings:
FIG. 1 is a schematic flow chart of an equivalent closed-loop control method for a virtual power plant according to the present invention;
FIG. 2 is a block diagram of an equivalent closed-loop control device for a virtual power plant according to the present invention;
fig. 3 is a block diagram of an electronic device according to the present invention.
Detailed Description
The invention will be described in detail below with reference to the drawings in connection with embodiments. It should be noted that, without conflict, the embodiments of the present invention and features of the embodiments may be combined with each other.
The following detailed description is exemplary and is intended to provide further details of the invention. Unless defined otherwise, all technical terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments in accordance with the invention.
Example 1
Referring to fig. 1, the invention provides an equivalent closed-loop control method for a virtual power plant, which comprises the following steps:
s1: the virtual power plant receives a regulation and control instruction issued by the power grid and starts to coordinate internal resources to respond to the power grid control instruction; the power grid control instruction is P obj 。
S2: and judging whether the power grid regulation command is within the control capacity range of the virtual power plant or not, wherein the judgment basis is shown in a formula (1). When the formula (1) is established, indicating that the regulation command is within the control capacity range of the virtual power plant, and turning to the step S4; when the formula (1) is not established, indicating that the regulation command is not in the control capacity range of the virtual power plant, and turning to the step S3;
wherein P is VPPmax Representing a maximum regulation capacity of the virtual power plant; p (P) imax Representing the maximum regulating capacity of controllable resources i in the virtual power plant; n represents the number of controllable resources in the virtual power plant; s is S i The response reliability of the controllable resource i, namely the probability that the actual response power in the historical response sample meets the control instruction, is calculated by the formula (2) in a statistics way.
s i ＝Pr{P iact |P iact ≥P iiss } (2)
Wherein P is iact For the actual response power of the controllable resource i, P iiss Control instructions for controllable resource i.
S3: when the regulating command exceeds the maximum regulating capacity of the virtual power plant, the virtual power plant controls according to the maximum regulating capacity, fully distributes the managed controllable resources to form control commands of each controllable resource, and feeds back the lack of the control commands which cannot be responded to the control commands to the power grid regulating center. The difference Δp of the control commands that fail to respond is calculated by the formula (3), in which case the control command for each controllable resource is calculated by the formula (4).
P iiss ＝P imax (4)
S4: when the power grid regulating command does not exceed the maximum regulating capability of the virtual power plant, the power grid regulating command is distributed among internal controllable resources to form control commands of all the controllable resources, and the distribution principle is as follows: and (3) sorting according to the reverse order of the priority of the response reliability of each resource, and preferentially selecting the controllable resource allocation control instruction with high response reliability until the control instruction meets the formula (5), wherein the control instruction of each resource is calculated according to the formula (6). Turning to S5. Note that when power instruction allocation is performed, control instruction allocation is not performed on the controllable resources that have participated in the overshoot in the present control period.
P iiss ＝P imax ·s i (6)
Wherein epsilon is the allowable control deviation of the virtual power plant, and the allowable control deviation is 0.01MW by default, and can be adjusted according to the power grid demand and the control condition of the virtual power plant; alpha i The historical maximum forward response deviation per unit value for the controllable resource i is calculated by the formula (7).
α i ＝(P i0act -P i0iss )/P i0iss (7)
Wherein P is i0act For the actual response power, P under the circumstance that the historical maximum forward response deviation of the controllable resource i occurs i0iss And (3) a control instruction under a scene of the maximum forward response deviation of the controllable resource i.
S5: in each sampling period of the virtual power plant, the controllable resources operate according to the distributed control instructions, and the response power P of each controllable resource is monitored and calculated iact (t k ) The calculation formula refers to formula (8). Turning to S6.
P iact (t k )＝P i (t k )-P iBase (8)
Wherein t is k For the kth sampling period, P, in the virtual power plant control period i (t k ) Active power, P, of the kth sampling period of the controllable resource i iBase Is the baseline power of the controllable resource i.
S6: judging whether the response power of each controllable resource is sufficient, classifying the controllable resources into two types, wherein one type is continuously regulated, and judging according to the historical response speed and the current response power, as shown in a formula (9); the other type is a discrete adjustment type, and is judged according to comparison between the historical response power and the current response power, as shown in a formula (10). When there is insufficient response of the adjustment resource, turning to S7; when all the adjustment resource responses are sufficient, turning to S8;
v i kT sca -P iact (t k )≤ε i (9)
P iact_his (t k )-P iact (t k )≤ε i (10)
in the formula, v i For the historical statistical response speed of the controllable resource i, T sca For the sampling period of controllable resources by the virtual power plant, P iact_his (t k ) The historical response power of the controllable resource i is the allowable deviation of the virtual power plant to the controllable resource i, and the allowable deviation is 1% -5% of the maximum response capacity.
S7: when there is insufficient regulation of the controllable resources, the potential response deficiency P which may occur is calculated according to formula (11) vac And periodically as a new control instruction, the process goes to S4.
In phi, phi vac To respond to an insufficient set of controllable resources; p (P) ivac (t k ) For the potential response deficiency generated by the controllable resource i, according to different load types, the potential response deficiency of the continuously-regulated controllable resource is calculated by a formula (12), and the potential response deficiency of the discretely-regulated controllable resource is calculated by a formula (13):
P ivac (t k )＝P iiss ·[v i kT sca -P iact (t k )]/v i kT sca (12)
P ivac (t k )＝P iiss ·[P iact_his (t k )-P iact (t k )]/P iact_his (t k ) (13)
s8: and judging whether the total adjustment amount of the virtual power plant reaches a control target, if the total adjustment amount of the virtual power plant does not reach the control target, turning to a step S5, continuously monitoring the response condition of each controllable resource, and if the total adjustment amount of the virtual power plant reaches the control target, ending the control flow.
Example 2
Referring to fig. 2, the present invention provides an equivalent closed-loop control device for a virtual power plant, comprising:
the receiving module is used for receiving the power grid adjustment instruction;
the first judging module is used for judging whether the adjusting instruction is in the control capacity range of the virtual power plant; when the regulating command exceeds the maximum regulating capacity of the virtual power plant, the virtual power plant controls according to the maximum regulating capacity, fully distributes the managed controllable resources to form control commands of each controllable resource, and feeds back the lack of the control commands which cannot be responded; when the regulating command does not exceed the maximum regulating capability of the virtual power plant, distributing the regulating command among internal controllable resources to form a control command of each controllable resource;
the monitoring module is used for monitoring and calculating the response power of each controllable resource according to the operation of the allocated control instruction in each sampling period of the virtual power plant;
the second judging module is used for judging whether the response power of each controllable resource is sufficient or not; when the controllable resource response power is insufficient, calculating the generated potential response deficiency, and periodically taking the potential response deficiency as a new control instruction; otherwise, the control is ended.
In the step of judging whether the regulation command is within the control capability range of the virtual power plant, the judgment is based on the following formula (1):
wherein P is obj The control instruction is a power grid control instruction; p (P) VPPmax Representing a maximum regulation capacity of the virtual power plant; p (P) imax Representing the maximum regulating capacity of controllable resources i in the virtual power plant; n represents the number of controllable resources in the virtual power plant; s is S i Representing the response reliability of the controllable resource i, and performing statistical calculation by a formula (2);
s i ＝Pr{P iact |P iact ≥P iiss } (2)
P iact for the actual response power of the controllable resource i, P iiss Control instructions for controllable resource i.
When the regulating command exceeds the maximum regulating capability of the virtual power plant, the virtual power plant controls according to the maximum regulating capability, fully distributes the managed controllable resources to form control commands of each controllable resource, and feeds back the control command deficiency which fails to respond, wherein in the step of feeding back the control command deficiency which fails to respond, the control command difference delta P which fails to respond is calculated by a formula (3);
when the regulating command exceeds the maximum regulating capability of the virtual power plant, the virtual power plant controls according to the maximum regulating capability, fully distributes the managed controllable resources to form control commands of each controllable resource, and feeds back the control command lack which fails to respond, and in the step of fully distributing the controllable resources to each controllable resource, the control command of each controllable resource under the full distribution of the managed controllable resources is calculated by a formula (4):
P iiss ＝P imax (4)。
when the control command does not exceed the maximum regulation capacity of the virtual power plant, the step of distributing the regulation command among the internal controllable resources specifically comprises the following steps:
the power grid regulation command is distributed among internal controllable resources, and the distribution principle is as follows: according to the reverse order of the priority of each resource response reliability, firstly selecting a controllable resource allocation control instruction with high response reliability until the formula (5) is satisfied; the control instruction of each controllable resource is calculated according to a formula (6);
P iiss ＝P imax ·s i (6)
where ε is the allowable control of the virtual power plantDeviation; alpha i The maximum forward response bias per unit value is historic for the controllable resource i.
The step of judging whether the response power of each controllable resource is sufficient specifically comprises the following steps:
dividing controllable resources into two types, wherein one type is continuous regulation type, and judging according to historical response speed and current response power, as shown in a formula (9); the other type is discrete regulation type, and is judged according to comparison between the historical response power and the current response power, as shown in a formula (10);
v i kT sca -P iact (t k )≤ε i (9)
P iact_his (t k )-P iact (t k )≤ε i (10)
wherein P is iact (t k ) Response power of controllable resource i in the kth sampling period; v i For the historical statistical response speed of the controllable resource i, T sca For the sampling period of controllable resources by the virtual power plant, P iact_his (t k ) Historical response power for controllable resource i.
The step of calculating the generated potential response deficiency when the controllable resource response power is insufficient and taking the potential response deficiency as a new control command periodically comprises the following steps:
calculating potential response shortages P that may occur according to equation (11) vac And periodically taking the new control command;
in phi, phi vac To respond to an insufficient set of controllable resources; p (P) ivac (t k ) Potential response shortages generated for controllable resource i; the potential response deficiency of the continuously-regulated controllable resource is calculated by the formula (12), and the potential response deficiency of the discretely-regulated controllable resource is calculated by the formula (13):
P ivac (t k )＝P iiss ·[v i kT sca -P iact (t k )]/v i kT sca (12)
P ivac (t k )＝P iiss ·[P iact_his (t k )-P iact (t k )]/P iact_his (t k ) (13)。
example 3
Referring to fig. 3, the present invention further provides an electronic device 100 for a virtual power plant equivalent closed-loop control method; the electronic device 100 comprises a memory 101, at least one processor 102, a computer program 103 stored in the memory 101 and executable on the at least one processor 102, and at least one communication bus 104.
The memory 101 may be used to store the computer program 103, and the processor 102 implements the method steps of the virtual power plant equivalent closed-loop control method described in embodiment 1 by running or executing the computer program stored in the memory 101 and invoking the data stored in the memory 101. The memory 101 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program (such as a sound playing function, an image playing function, etc.) required for at least one function, and the like; the storage data area may store data (such as audio data) created according to the use of the electronic device 100, and the like. In addition, the memory 101 may include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash Card (Flash Card), at least one disk storage device, a Flash memory device, or other non-volatile solid state storage device.
The at least one processor 102 may be a central processing unit (Central Processing Unit, CPU), but may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field-programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. The processor 102 may be a microprocessor or the processor 102 may be any conventional processor or the like, the processor 102 being a control center of the electronic device 100, the various interfaces and lines being utilized to connect various portions of the overall electronic device 100.
The memory 101 in the electronic device 100 stores a plurality of instructions to implement a virtual power plant equivalent closed loop control, the processor 102 being executable to implement:
receiving a power grid adjustment instruction;
judging whether the regulating command is in the control capacity range of the virtual power plant; when the regulating command exceeds the maximum regulating capacity of the virtual power plant, the virtual power plant controls according to the maximum regulating capacity, fully distributes the managed controllable resources to form control commands of each controllable resource, and feeds back the lack of the control commands which cannot be responded; when the regulating command does not exceed the maximum regulating capability of the virtual power plant, distributing the regulating command among internal controllable resources to form a control command of each controllable resource;
the controllable resources operate according to the distributed control instructions, and the response power of each controllable resource is monitored and calculated in each sampling period of the virtual power plant;
judging whether the response power of each controllable resource is sufficient or not; when the controllable resource response power is insufficient, calculating the generated potential response deficiency, and periodically taking the potential response deficiency as a new control instruction; otherwise, the control is ended.
Specifically, the specific implementation method of the above instructions by the processor 102 may refer to the description of the related steps in embodiment 1, which is not repeated herein.
Example 4
The modules/units integrated in the electronic device 100 may be stored in a computer readable storage medium if implemented in the form of software functional units and sold or used as a stand alone product. Based on such understanding, the present invention may implement all or part of the flow of the method of the above embodiment, or may be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and when the computer program is executed by a processor, the computer program may implement the steps of each of the method embodiments described above. Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc. The computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, and a Read-Only Memory (ROM).
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention 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 invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations 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.
Finally, it should be noted that: the above embodiments are only for illustrating the technical aspects of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the above embodiments, it should be understood by those of ordinary skill in the art that: modifications and equivalents may be made to the specific embodiments of the invention without departing from the spirit and scope of the invention, which is intended to be covered by the claims.
Claims (8)
1. The virtual power plant equivalent closed-loop control method is characterized by comprising the following steps of:
receiving a power grid adjustment instruction;
judging whether the regulating command is in the control capacity range of the virtual power plant; when the regulating command exceeds the maximum regulating capacity of the virtual power plant, the virtual power plant controls according to the maximum regulating capacity, fully distributes the managed controllable resources to form a first control command of each controllable resource, and feeds back the lack of the control command which fails to respond; when the regulating command does not exceed the maximum regulating capability of the virtual power plant, distributing the regulating command among the internal controllable resources to form a second control command of each controllable resource;
the controllable resources operate according to the allocated first control instruction or second control instruction, and the response power of each controllable resource is monitored and calculated in each sampling period of the virtual power plant;
judging whether the response power of each controllable resource is sufficient or not; when the controllable resource response power is insufficient, calculating the generated potential response deficiency, and periodically taking the potential response deficiency as a new control instruction; otherwise, ending the control;
and when the regulating command does not exceed the maximum regulating capability of the virtual power plant, the step of distributing the regulating command among the internal controllable resources to form a second control command of each controllable resource specifically comprises the following steps:
the power grid regulation command is distributed among internal controllable resources, and the distribution principle is as follows: according to the reverse order of the priority of each resource response reliability, firstly selecting a controllable resource allocation control instruction with high response reliability until the formula (5) is satisfied; the second control instruction of each controllable resource is calculated according to a formula (6);
P iiss ＝P imax ·s i (6)
wherein P is obj A power grid regulation command; n represents the number of controllable resources in the virtual power plant; alpha i Historical maximum forward response deviation per unit value for controllable resource i; epsilon is the allowable control deviation of the virtual power plant; p (P) imax Representing the maximum regulating capacity of controllable resources i in the virtual power plant; s is S i Representing the response reliability of the controllable resource i; p (P) iiss A control instruction for controllable resource i;
the step of judging whether the response power of each controllable resource is sufficient specifically includes:
dividing controllable resources into two types, wherein one type is continuous regulation type, and judging according to historical response speed and current response power, as shown in a formula (9); the other type is discrete regulation type, and is judged according to comparison between the historical response power and the current response power, as shown in a formula (10);
v i kT sca -P iact (t k )≤ε i (9)
P iact_his (t k )-P iact (t k )≤ε i (10)
wherein P is iact (t k ) Response power of controllable resource i in the kth sampling period; v i For the historical statistical response speed of the controllable resource i, T sca For the sampling period of controllable resources by the virtual power plant, P iact_his (t k ) Historical response power for controllable resource i.
2. The virtual power plant equivalent closed-loop control method according to claim 1, wherein in the step of determining whether the adjustment command is within the control capability range of the virtual power plant, the determination is performed according to the following formula (1):
wherein P is VPPmax Representing a maximum regulation capacity of the virtual power plant; s is S i Statistical calculation from equation (2);
s i ＝Pr{P iact |P iact ≥P iiss } (2)
P iact the actual response power for the controllable resource i.
3. The virtual power plant equivalent closed-loop control method according to claim 2, wherein when the regulating command exceeds the maximum regulating capacity of the virtual power plant, the virtual power plant controls according to the maximum regulating capacity, fully distributes the managed controllable resources to form a first control command of each controllable resource, and feeds back the unresponsive control command deficiency, wherein the unresponsive control command difference deltap is calculated by the formula (3);
4. the virtual power plant equivalent closed-loop control method according to claim 3, wherein when the adjustment command exceeds the maximum adjustment capability of the virtual power plant, the virtual power plant performs control according to the maximum adjustment capability, the virtual power plant performs full allocation of the managed controllable resources to form a first control command of each controllable resource, and the first control command of each controllable resource under full allocation of the managed controllable resources is calculated by the formula (4) in the step of feeding back the lack of the control command which fails to respond to:
P iiss ＝P imax (4)。
5. the method for virtual power plant equivalent closed loop control according to claim 1, wherein when there is insufficient response power of the controllable resource, the step of calculating the generated potential response deficiency and periodically using the potential response deficiency as a new control command specifically comprises:
calculating potential response shortages P that may occur according to equation (11) vac And periodically taking the new control command;
in phi, phi vac To respond to an insufficient set of controllable resources; p (P) ivac (t k ) Potential response shortages generated for controllable resource i; the potential response deficiency of the continuously-regulated controllable resource is calculated by the formula (12), and the potential response deficiency of the discretely-regulated controllable resource is calculated by the formula (13):
P ivac (t k )＝P iiss ·[v i kT sca -P iact (t k )]/v i kT sca (12)
P ivac (t k )＝P iiss ·[P iact_his (t k )-P iact (t k )]/P iact_his (t k ) (13)。
6. the virtual power plant equivalent closed-loop control device is characterized by comprising:
the receiving module is used for receiving the power grid adjustment instruction;
the first judging module is used for judging whether the adjusting instruction is in the control capacity range of the virtual power plant; when the regulating command exceeds the maximum regulating capacity of the virtual power plant, the virtual power plant controls according to the maximum regulating capacity, fully distributes the managed controllable resources to form a first control command of each controllable resource, and feeds back the lack of the control command which fails to respond; when the regulating command does not exceed the maximum regulating capability of the virtual power plant, distributing the regulating command among the internal controllable resources to form a second control command of each controllable resource;
the monitoring module is used for monitoring and calculating the response power of each controllable resource according to the operation of the allocated first control instruction or second control instruction in each sampling period of the virtual power plant;
the second judging module is used for judging whether the response power of each controllable resource is sufficient or not; when the controllable resource response power is insufficient, calculating the generated potential response deficiency, and periodically taking the potential response deficiency as a new control instruction; otherwise, ending the control;
and when the regulating command does not exceed the maximum regulating capability of the virtual power plant, the step of distributing the regulating command among the internal controllable resources to form a second control command of each controllable resource specifically comprises the following steps:
the power grid regulation command is distributed among internal controllable resources, and the distribution principle is as follows: according to the reverse order of the priority of each resource response reliability, firstly selecting a controllable resource allocation control instruction with high response reliability until the formula (5) is satisfied; the second control instruction of each controllable resource is calculated according to a formula (6);
P iiss ＝P imax ·s i (6)
wherein P is obj A power grid regulation command; n represents the number of controllable resources in the virtual power plant; alpha i Historical maximum forward response deviation per unit value for controllable resource i; epsilon is the virtual power plantAllowing control deviation of (a); p (P) imax Representing the maximum regulating capacity of controllable resources i in the virtual power plant; s is S i Representing the response reliability of the controllable resource i; p (P) iiss A control instruction for controllable resource i;
the step of judging whether the response power of each controllable resource is sufficient specifically includes:
dividing controllable resources into two types, wherein one type is continuous regulation type, and judging according to historical response speed and current response power, as shown in a formula (9); the other type is discrete regulation type, and is judged according to comparison between the historical response power and the current response power, as shown in a formula (10);
v i kT sca -P iact (t k )≤ε i (9)
P iact_his (t k )-P iact (t k )≤ε i (10)
wherein P is iact (t k ) Response power of controllable resource i in the kth sampling period; v i For the historical statistical response speed of the controllable resource i, T sca For the sampling period of controllable resources by the virtual power plant, P iact_his (t k ) Historical response power for controllable resource i.
7. An electronic device comprising a processor and a memory, the processor configured to execute a computer program stored in the memory to implement the virtual power plant equivalent closed loop control method of any one of claims 1 to 5.
8. A computer readable storage medium storing at least one instruction that when executed by a processor implements the virtual power plant equivalent closed loop control method of any one of claims 1 to 5.
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