CN115313393A - Cloud group-edge power grid layered hierarchical group control and group dispatching system - Google Patents
Cloud group-edge power grid layered hierarchical group control and group dispatching system Download PDFInfo
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- CN115313393A CN115313393A CN202210988439.4A CN202210988439A CN115313393A CN 115313393 A CN115313393 A CN 115313393A CN 202210988439 A CN202210988439 A CN 202210988439A CN 115313393 A CN115313393 A CN 115313393A
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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
- H02J3/04—Circuit arrangements for ac mains or ac distribution networks for connecting networks of the same frequency but supplied from different sources
- H02J3/06—Controlling transfer of power between connected networks; Controlling sharing of load between connected networks
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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
- H02J3/007—Arrangements for selectively connecting the load or loads to one or several among a plurality of power lines or power sources
- H02J3/0075—Arrangements for selectively connecting the load or loads to one or several among a plurality of power lines or power sources for providing alternative feeding paths between load and source according to economic or energy efficiency considerations, e.g. economic dispatch
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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
- 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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- 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]
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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
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The invention provides a cloud group-edge power grid layered, graded, group control and group dispatching system, which comprises four levels: the bottom layer is a virtual power plant layer and is responsible for aggregating various distributed renewable energy sources and flexible resources on site to form a virtual power plant model and uploading the virtual power plant model to a power grid; the second layer is a resource cluster layer and is responsible for decomposing ground-level scheduling instructions and performing optimized scheduling on virtual power plants in the cluster; the third layer is a ground level scheduling layer and is responsible for carrying out cluster division and decomposing provincial scheduling instructions to issue scheduling instructions to resource clusters in the region; the top layer is a provincial dispatching layer, is responsible for services related to the stability of the whole network, such as the balance of the electricity quantity of the whole province, the frequency regulation and the like, and issues dispatching instructions to a ground level dispatching mechanism. The method is suitable for the engineering scene of massive access of low-voltage distributed renewable energy resources and flexible resources, and realizes effective utilization and scheduling of massive distributed renewable energy resources and flexible resources by a power grid.
Description
Technical Field
The invention belongs to the technical field of power dispatching and management, and particularly relates to a cloud group-side power grid hierarchical group control and group dispatching system.
Background
With the increasing severity of energy crisis and environmental problems, the on-site development and utilization of new energy has become an important way for governments to save energy, reduce emission and develop green energy, and renewable clean energy is becoming the key development direction of global energy structures. Compared with a centralized renewable energy power station, the distributed renewable energy has small occupied area and low requirements on construction conditions, and can be popularized and used on a large scale, but the distributed renewable energy also has the problems of difficult control and adjustment, large quantity, small monomer capacity, easy formation of scale effect, obvious influence on a power grid and the like, so that the traditional centralized scheduling faces the problem of dimension disaster caused by too many scheduling objects and large scheduling data amount. At present, flexible resources frequently used by a power grid comprise a conventional unit and energy storage, the energy storage is too high in cost due to high-capacity energy storage, the energy storage also exists in the forms of distributed energy storage or electric vehicle energy storage and the like, the number of the flexible resources is large, the individual capacity is too low, the problem of dimension disaster also exists in the form of centralized scheduling of the power grid, and a large number of the flexible resources cannot be effectively utilized.
According to the research conditions at home and abroad, the related demonstration projects built globally at present mainly fall into two directions: firstly, distributed resources are preliminarily integrated in a virtual power plant form and then are regarded as a whole to participate in the power market, the method is more common in foreign demonstration, but the operation of a domestic power grid still takes plan scheduling as a main mode at present, the operation mode of the power market is still imperfect, and the method is difficult to be directly applied; secondly, effective utilization of distributed resources is achieved through intra-group autonomy, inter-group coordination and transmission and distribution coordination of the group control group dispatching system, demonstration of the method in a small range is successful, and along with expansion of the range and increase of the number of distributed resources, how the method is combined with the existing power grid framework to form a perfect distributed resource dispatching framework and dispatching flow needs further research.
Disclosure of Invention
In view of this, the present invention aims to solve the problems of a large number of access and scheduling objects for massive distributed resources and a large scheduling difficulty in the current power grid centralized scheduling architecture.
In order to solve the technical problems, the invention provides the following technical scheme:
a cloud group edge power grid layered hierarchical group control group dispatching system comprises: the system comprises a virtual power plant layer, a resource cluster layer, a ground level scheduling layer and a provincial level scheduling layer;
the virtual power plant layer comprises a plurality of virtual power plants, each virtual power plant is used for aggregating various distributed resources for the responsible region, forming model information of a distributed resource set, uploading the model information to the virtual resource cluster system, and accurately executing according to a scheduling instruction which is issued by the virtual cluster and meets the basic output condition of the virtual cluster;
the resource cluster layer comprises a plurality of resource clusters, each resource cluster is used for integrating model information provided by the virtual power plant, realizing cooperative optimization scheduling in the clusters, simultaneously forming cluster model information, uploading the cluster model information to an upper-level cluster or a lower-level scheduling mechanism, and executing scheduling instructions issued by the upper-level cluster or the lower-level scheduling mechanism;
the ground level scheduling layer is used for carrying out cluster division according to the regional resource distribution condition and carrying out grid-connected optimization control and scheduling on the regional resource clusters;
the provincial dispatching layer is positioned at the topmost layer of the whole dispatching system and used for dispatching the electric quantity among all the regional dispatching systems.
Further, each resource cluster includes at least one sub-cluster, the resource cluster layer satisfies a regional power balance principle, and the regional power balance principle specifically is as follows:
each sub-cluster meets the normal power supply of all loads in the respective region, and if the distributed energy in the region of at least one sub-cluster is insufficient in output, the power support is obtained through the upper-level cluster.
Further, the resource cluster layer meets the principle of reasonable allocation of regional power generation and power utilization, and the principle of reasonable allocation of regional power generation and power utilization specifically is as follows:
and when the virtual power plant layer carries out resource aggregation or the resource cluster layer carries out cluster division, dividing the load in the corresponding region to the corresponding resource cluster.
Further, the resource cluster layer satisfies a flexibility margin sharing principle, which specifically includes:
each virtual power plant and resource cluster utilizes flexible resources within the area to at least meet effective suppression of within-day volatility of distributed renewable energy resources, with remaining flexibility margins shared to an upper-level scheduling tier.
Further, the resource cluster layer satisfies a communication principle, which is specifically:
the upper scheduling layer adopts center radiation type interlayer communication for the lower scheduling layer, namely each scheduling mechanism only communicates with the lower scheduling mechanism in charge;
the lower-level scheduling layer adopts point-to-point communication to the upper-level scheduling layer, namely each scheduling mechanism only communicates with the upper-level scheduling mechanism to which the scheduling mechanism belongs.
Further, each virtual power plant or resource cluster is logically in communication with nodes above or below.
Furthermore, the scheduling result of each level does not exceed the executable scheduling range of the upper layer or the lower layer scheduling mechanism.
Further, the group control group dispatching system is used for executing a hierarchical collaborative interactive regulation and control flow, wherein the hierarchical collaborative interactive regulation and control flow comprises uploading of a bottom-up resource aggregation and aggregation model and issuing and dispatching execution of a top-down dispatching instruction.
Further, the resource aggregation from bottom to top and uploading of the aggregation model are completed in the day ahead, and the method specifically comprises the following steps:
sequentially performing four steps of virtual power plant resource aggregation and model uploading, cluster day-ahead scheduling and model uploading, local dispatching day-ahead scheduling and model uploading and provincial dispatching;
the virtual power plant resource aggregation and model uploading is that a virtual power plant collects distributed resource information through a terminal installed at a distributed resource access point, forms a virtual power plant model comprising an aggregation curve and a virtual power plant flexibility margin curve and uploads the virtual power plant model to a resource cluster;
the cluster day-ahead scheduling and model uploading are used as a virtual power plant model in a resource cluster integrated cluster, the cluster interior preliminary scheduling is carried out by taking economy and flexibility as targets, cluster model information including a cluster interaction curve and a flexibility margin curve is formed by taking a cluster as a unit and is uploaded to a previous-level cluster or a subordinate scheduling mechanism;
scheduling and model uploading before the local dispatching day are that the local dispatching mechanism considers network constraints, integrates and primarily dispatches the cluster models in the region, forms a predicted power interaction curve with other regions, and uploads local flexible resource data to the provincial dispatching mechanism;
the provincial dispatching is to determine power interaction of each time interval wide area through the provincial dispatching, and the provincial dispatching is matched with an electric power market to finish orderly participation of each flexible resource in the auxiliary service of the power grid so as to ensure the safe and stable operation of the power grid.
Further, the issuing and executing of the top-down scheduling instruction is completed in the day, which specifically includes:
sequentially issuing a provincial dispatching instruction, correcting a local dispatching result, correcting a cluster dispatching result and dispatching and executing a virtual power plant;
the four steps of issuing and executing the top-down scheduling instruction are specifically that on the premise that the interlayer power interactive quantity is basically fixed, each layer utilizes the reserved flexible resources during day-ahead scheduling, and according to a scheduling result correction process of the day-ahead and intra-day scheduling and upper layer interactive power difference and the day-ahead predicted output and intra-day actual output difference of the distributed renewable energy, the result is corrected to be close to a day-ahead scheduling result.
In conclusion, the invention provides a cloud cluster-side power grid layered and graded group control and group dispatching system, which comprises a virtual power plant layer, a resource cluster layer, a ground-level dispatching layer and a provincial dispatching layer; the virtual power plant layer aggregates various distributed resources, the resource cluster layer realizes cooperative optimal scheduling in the cluster, and the ground-level scheduling layer performs grid-connected optimal control and scheduling on the resource cluster in the region; and the provincial dispatching layer dispatches the electric quantity among all the local dispatching systems. The invention takes a virtual power plant with self-profit as a primary integration unit of distributed resources, realizes full excavation of the potential of the distributed resources, realizes homogenization of external attributes after different distributed resources are aggregated, and reduces the quantity of power grid dispatching objects and the dispatching complexity. Meanwhile, the traditional centralized scheduling is replaced by the distributed scheduling, the idea of hierarchical group control and group scheduling is expanded to a provincial scheduling layer, the layer-by-layer decomposition of a power grid scheduling task is realized through multilayer scheduling, the scheduling complexity is reduced, and the wide-area flexible resource mutual aid is realized.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the description of the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without inventive labor.
Fig. 1 is a structural block diagram of a hierarchical group control and group dispatching system for a cloud group-edge power grid according to an embodiment of the present invention;
fig. 2 is a flowchart of interactive regulation provided in the embodiment of the present invention.
Detailed Description
In order to make the objects, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the embodiments described below are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
At present, in order to deal with large-scale access of massive distributed resources to a power grid, a virtual power plant capable of primarily integrating regional distributed resources is introduced between the power grid and the distributed resources, and the virtual power plant participates in a power market as a whole. The virtual power plant is characterized in that clean energy, an energy storage system and the like which are dispersedly installed on a power distribution network are combined to be a special power plant to participate in power grid operation through a distributed energy management system. In europe, virtual power plants, also called grid aggregators, are responsible for concentrating the control rights of distributed small power generation devices into a pool to reach the lowest threshold for participating in the power market, which is equivalent to the role of an agent. The current research situation at home and abroad is as follows: the EU ELECTRA demonstration project utilizes a network formed by network element interconnection to realize layered distributed control, realizes the comprehensive optimization of energy storage and distributed energy, load shifting and the like through demand side management, and formulates a proper excitation mechanism through a power market to promote the application of a new technology; the European Union E-DeMa project establishes a distributed energy community with high permeability, integrates a plurality of roles such as users, energy suppliers, energy sellers, equipment operators and the like into a system, and carries out virtual energy trading, wherein the trading content comprises electric quantity, spare capacity and the like; the German Langen Fei's demonstration project develops a community energy management system, mainly takes an intelligent community as a theoretical background, comprehensively utilizes modern information communication, automatic control, measurement technologies and the like, aims to provide high-quality electricity utilization service for users, and simultaneously meets the use of new energy technologies such as a distributed power supply, an electric vehicle and the like; a line virtual power plant module is designed in a smart energy coordination control system in a new area in the North and Yangtze province, a physical mode of distributed energy grid connection is not changed, distributed photovoltaic, energy storage and various controllable loads are connected in series on a running layer through real-time monitoring, the distributed photovoltaic, the energy storage and the various controllable loads are regarded as integrally participating in power grid peak regulation auxiliary service, and then output of various types of energy in a virtual power plant is regulated in real time.
As can be seen from the research situation at home and abroad, the related demonstration projects built globally at present mainly fall into two directions: firstly, distributed resources are preliminarily integrated in a virtual power plant form and then are regarded as a whole to participate in the power market, the method is more common in foreign demonstration, but the operation of a domestic power grid still takes plan scheduling as a main mode at present, the operation mode of the power market is still imperfect, and the method is difficult to be directly applied; secondly, effective utilization of distributed resources is achieved through intra-group autonomy, inter-group coordination and transmission and distribution coordination modes of the group control group dispatching system.
Based on the cloud group edge power grid hierarchical group control and group dispatching system, the invention provides a cloud group edge power grid hierarchical group control and group dispatching system.
The following describes an embodiment of the cloud-group-edge power grid hierarchical group control and group dispatching system in detail.
Referring to fig. 1, the present embodiment provides a hierarchical group control and group dispatching system for a cloud group-edge power grid, including: the system comprises four levels, namely a provincial level scheduling layer, a ground level scheduling layer, a resource cluster layer and a virtual power plant layer.
In this embodiment, the virtual power plant layer performs resource integration at a low-voltage platform (0.4 kV) level, acquires resource information through the distributed resource server, forms a virtual power plant model including an aggregation curve and a flexibility margin curve to upload to the resource cluster through the virtual power plant server with the objective of optimal economy, and executes a scheduling instruction of the resource cluster through the distributed resource controller.
In this embodiment, a resource cluster layer integrates model information provided by a virtual power plant on line, forms a wider range of resource integration at a 10kV feeder level, forms a resource cluster model including a cluster interaction curve and a flexibility margin curve through a cluster server, uploads a corresponding ground level scheduling, performs cluster scheduling, and executes a scheduling instruction issued by the ground level scheduling; the initial cluster of the resource cluster layer is formed by cluster division of the ground-level scheduling layer according to the position of the virtual power plant and the area load condition, when the resource amount connected with the feeder line is excessive, the secondary cluster can be continuously divided under the feeder line cluster, and the cluster division does not exceed the secondary cluster at most.
In this embodiment, the ground-level scheduling layer is responsible for performing grid-connected optimization control and scheduling on a resource cluster in a region, performs ground-level scheduling at a voltage level of 35kV-110kV, considers network constraints and local consumption requirements of distributed renewable energy, provides model information to the provincial scheduling system, and executes a scheduling instruction of the provincial scheduling system.
In this embodiment, the provincial dispatching layer is responsible for mutual support of electric quantity dispatching and inter-regional flexibility resources of multiple regions, and is coordinated with the electric power market, and the uploaded flexibility resources of the regional dispatching layer and the flexibility resources acquired from the electric power market are utilized to maintain stability of the power grid.
In order to better manage the resource cluster and the virtual power plant and reduce the problems of difficult power grid scheduling, low power grid stability and the like caused by the self-profit behaviors of different benefit subjects, the scheduling of each layer meets the following requirements in the aspect of energy and information interaction.
1. And (4) area power balance. The normal power supply to all loads in the area is required to be met as much as possible, the access and utilization level of the distributed renewable energy sources is maximized, and the electric quantity support is obtained through the upper-level cluster when the output of the distributed energy sources in the area is insufficient.
2. And the regional power generation and the electricity utilization are reasonably shared. When the virtual power plant performs resource aggregation or cluster division on resource clusters, except that the geographic positions of aggregation objects are close, the load change of the region should be divided into the clusters as much as possible, so that the load change is followed by the output of the virtual power plant. The reasonable apportionment criterion is that the total power generation of the virtual power plants in a cluster follows the load change to be followed. The power generation and load inside the cluster may not be equal but the fluctuations are within a controllable range for the prevailing energy exchange pattern (schedule) between this area and the rest of the cluster.
3. And on the premise of stable region, sharing the flexibility margin with an upper scheduling layer. For a virtual power plant, schedulable resources such as distributed energy storage in a region need to be fully utilized, the schedulable resources do not need to be completely shared with a superior cluster, a part of flexibility margin needs to be reserved to deal with the volatility of the distributed renewable energy in the cluster and keep the output of the virtual power plant stable, and the remaining flexibility resources need to be reported to the superior cluster, so that the superior cluster is convenient to schedule; for a resource cluster, the reported flexibility margin of a managed virtual power plant or a subordinate cluster is shared in the cluster, and the flexible resource in the region can be rapidly transferred under emergency conditions so as to ensure continuous and stable power supply in the region.
4. All the virtual power plants participating in scheduling are recursively layered with the resource cluster, and each layer is provided with central radiation type interlayer communication and point-to-point communication. The center radiation type interlayer communication is that each layer level downwards only communicates with the scheduling unit in the range without communicating with the scheduling units in other cluster ranges; the point-to-point communication is only communicated with the scheduling unit at each level without receiving or executing scheduling instructions of other clusters.
5. Each cluster or virtual plant addresses some aspect of the larger optimization problem and logically communicates with nodes above and below it. If a virtual power plant needs to meet the requirement of reducing power fluctuation, a resource cluster needs to meet the requirements of power following in an area, sharing and distribution of flexibility margin in the cluster and the like, and information interaction is carried out on the resource cluster and an upper cluster or a lower dispatching unit of the resource cluster while the basic optimization problems are completed.
6. The scheduling result of each layer should not exceed the executable scheduling range of the upper and lower scheduling mechanisms, so as to realize the mutual coordination of the scheduling results between layers.
In addition, the operation flow of the group control group regulation system provided in this embodiment is a hierarchical collaborative interactive regulation flow, which specifically includes two parts: the first part is resource aggregation from bottom to top and aggregation model uploading; the second part is the issue and execution of the scheduling instruction from top to bottom. The interactive regulation and control process of hierarchical coordination is specifically shown in fig. 2.
Uploading a resource aggregation and aggregation model from bottom to top, collecting distributed resource information by a virtual power plant through a distributed resource server, integrating information through the virtual power plant server to form a virtual power plant model including an aggregation curve and a virtual power plant flexibility margin curve, and uploading the virtual power plant model to a scheduling mechanism of a affiliated cluster. After receiving the model information of the virtual power plant, the cluster comprehensively considers the targets of economy and cluster external stability and controllability, performs day-ahead optimized scheduling in the cluster, sends a scheduling instruction to the virtual power plant downwards, forms a cluster model including a cluster interaction curve and a flexibility margin curve upwards, and uploads the cluster model to an upper-level cluster or a ground-level scheduling mechanism. It should be noted that a part of flexibility resources need to be reserved by the cluster before model uploading, so as to deal with the influence of the randomness of the output of the distributed renewable energy sources in the cluster on the scheduling result during scheduling in the day, and the flexibility margin is reserved by the cluster and does not need to be uploaded to an upper-level cluster. The resource cluster finally uploads the scheduling characteristics and scheduling requirements of all distributed resources to a ground level scheduling mechanism in the form of a cluster unified model to which the resource cluster belongs through layer-by-layer scheduling and resource integration. The regional dispatching mechanism considers network constraints, integrates and primarily dispatches cluster model information in a region, issues dispatching results to a cluster to which the regional dispatching mechanism belongs, reports a predicted power interaction curve and a flexibility margin curve to the provincial dispatching mechanism, is uniformly integrated by the provincial dispatching mechanism to form basic information of full provincial power and flexibility resources, determines power interaction of different regional regions at different time intervals through provincial dispatching, is matched with a power market, and completes ordered participation of a traditional unit and various flexibility resources in auxiliary services such as power grid peak regulation, frequency regulation and the like.
The dispatching method comprises the steps that a top-down dispatching instruction is issued and executed, a provincial dispatching mechanism issues the dispatching instruction to a corresponding ground level dispatching mechanism, the ground level dispatching mechanism corrects a day-ahead dispatching result according to the dispatching instruction, and the dispatching result is close to the day-ahead dispatching result as far as possible on the premise that the dispatching effect is basically fixed with the upper layer interactive power and the dispatching effect is the re-dispatching effect of flexible resources in the region caused by uncertainty of distributed renewable energy sources and loads, so that the dispatching difficulty of a lower layer resource cluster is reduced. And after the resource cluster receives the scheduling instruction, correcting the scheduling result in the cluster by using the reserved flexible resources in the day-ahead scheduling, wherein the day-ahead scheduling result of the cluster is as close to the day-ahead scheduling result as possible. And after the virtual power plant receives the dispatching instruction of the cluster, the output of various dispatchable resources is coordinated through dynamic aggregation cooperative control so as to respond to the dispatching requirement of the cluster.
According to the above flow specification, the specific process of scheduling by the group control group scheduling system provided by this embodiment is as follows:
step1: on the day before dispatching, the ground-level dispatching layer divides clusters according to regional resource distribution and load condition information by taking regional power generation and reasonable power utilization allocation as principles, and divides virtual power plants meeting dispatching conditions into different resource clusters.
Step2: the virtual power plant obtains distributed resource information from the distributed resource server, resource aggregation and economic calculation are carried out on the distributed resources, and a virtual power plant model is formed and uploaded to the affiliated resource cluster.
Step3: the resource cluster integrates the virtual power plant model through the cluster server, and performs cluster day-ahead scheduling by taking economy and cluster external stability controllability as targets to form a cluster model and upload the cluster model to the affiliated site-level scheduling mechanism;
step4: the grade scheduling mechanism receives model information of the resource cluster, considers network constraints and local consumption requirements of distributed renewable energy sources, performs grade scheduling in the day-ahead and provides the model information for a provincial scheduling system;
step5: the provincial dispatching mechanism considers the mutual support of the flexibility resources among the regions according to the model information of the regional dispatching mechanism, the flexibility resources of the power market and other information, carries out provincial dispatching and issues dispatching instructions to a regional dispatching layer;
step6: the grade scheduling layer receives the scheduling instruction, takes the grade scheduling result close to the day ahead as a basic principle, corrects the grade scheduling result and sends the scheduling instruction to the subordinate resource cluster;
step7: the resource cluster layer receives the scheduling instruction, takes a cluster scheduling result close to the day ahead as a basic principle, corrects the cluster scheduling result, and issues the scheduling instruction to the subordinate virtual power plant;
step8: the virtual power plant receives the scheduling instruction and controls the ordered output of various distributed resources through the distributed resource controller;
step9: and correcting the scheduling result in real time on the premise that the interactive power of each level is basically stable to the deviation between the load and the distributed renewable energy source pre-measured quantity and actual quantity occurring in the day, and the flexible resources reserved in the day-ahead scheduling so as to meet the requirement of balance of supply and demand of the electric quantity of the system.
The embodiment provides a cloud cluster-side power grid layered and graded group control and group dispatching system which comprises a virtual power plant layer, a resource cluster layer, a ground-level dispatching layer and a provincial dispatching layer; the virtual power plant layer aggregates various distributed resources, the resource cluster layer realizes cooperative optimization scheduling in the cluster, and the ground-level scheduling layer performs grid-connected optimization control and scheduling on the resource cluster in the region; and the provincial dispatching layer dispatches the electric quantity among all the local dispatching systems.
The group control and group dispatching system provided by the embodiment has the following advantages:
1. the virtual power plant with the self-profit is used as a primary integration unit of the distributed resources, and a virtual power plant model including an aggregation curve and a flexibility margin curve is formed, so that the full excavation of the potential of the distributed resources is realized, the homogenization of external properties after the aggregation of different distributed resources is realized, and the quantity of power grid dispatching objects and the dispatching complexity are reduced.
2. The distributed scheduling replaces the traditional centralized scheduling, the idea of hierarchical group control and group scheduling is expanded to a provincial scheduling layer, the hierarchical decomposition of a power grid scheduling task is realized through multilayer scheduling, the scheduling complexity is reduced, and the wide-area flexible resource mutual aid is realized.
3. The virtual power plant with market property is combined with the traditional planning and dispatching mode in China, the promotion effect of the virtual power plant self-benefit on the maximum utilization of resources is exerted, and the advantage of stable and reliable operation of a power grid under the traditional planning and dispatching is also achieved.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. The utility model provides a hierarchical group control crowd's accent system of cloud crowd's limit electric wire netting layering which characterized in that includes: the system comprises a virtual power plant layer, a resource cluster layer, a ground level scheduling layer and a provincial level scheduling layer;
the virtual power plant layer comprises a plurality of virtual power plants, each virtual power plant is used for aggregating various distributed resources for the responsible region, forming model information of a distributed resource set, uploading the model information to the virtual resource cluster system, and accurately executing according to a scheduling instruction which is issued by the virtual cluster and meets the basic output condition of the virtual cluster;
the resource cluster layer comprises a plurality of resource clusters, each resource cluster is used for integrating the model information provided by the virtual power plant, realizing cooperative optimization scheduling in the clusters, simultaneously forming cluster model information, uploading the cluster model information to an upper-level cluster or a lower-level scheduling mechanism, and executing a scheduling instruction issued by the upper-level cluster or the lower-level scheduling mechanism;
the ground level scheduling layer is used for carrying out cluster division according to the regional resource distribution condition and carrying out grid-connected optimization control and scheduling on the regional resource clusters;
the provincial dispatching layer is positioned at the topmost layer of the whole dispatching system and used for dispatching the electric quantity among all the regional dispatching systems.
2. The cloud-edge power grid hierarchical group control and dispatching system as claimed in claim 1, wherein each resource cluster comprises at least one sub-cluster, the resource cluster layer satisfies a regional power balance principle, and the regional power balance principle specifically is as follows:
and each sub-cluster meets the normal power supply of all loads in the region, and if the distributed energy in the region of at least one sub-cluster is insufficient in output, the power support is obtained through the upper-level cluster.
3. The cloud cluster-edge power grid hierarchical cluster control and dispatching system as claimed in claim 1, wherein the resource cluster layer satisfies a reasonable allocation principle of regional power generation and power utilization, and the reasonable allocation principle of regional power generation and power utilization specifically is as follows:
and when the virtual power plant layer carries out resource aggregation or the resource cluster layer carries out cluster division, dividing the load in the corresponding region into the corresponding resource clusters.
4. The cloud cluster-edge power grid hierarchical cluster control cluster dispatching system of claim 1, wherein the resource cluster layer satisfies a flexibility margin sharing principle, and the flexibility margin sharing principle is specifically:
each virtual power plant and the resource cluster utilize flexible resources in the region to at least meet effective suppression of within-day volatility of distributed renewable energy resources, and remaining flexibility margins are shared to an upper-level scheduling layer.
5. The cloud cluster-edge power grid hierarchical cluster control cluster dispatching system of claim 1, wherein the resource cluster layer satisfies a communication principle, and the communication principle is specifically:
the upper dispatching layer adopts center radiation type interlayer communication for the lower dispatching layer, namely each dispatching mechanism only communicates with the lower dispatching mechanism in charge;
the lower-level scheduling layer adopts point-to-point communication to the upper-level scheduling layer, namely each scheduling mechanism only communicates with the upper-level scheduling mechanism to which the scheduling mechanism belongs.
6. The cloud group-edge power grid hierarchical group control group dispatching system as claimed in claim 1, wherein each of the virtual power plants or the resource clusters is logically in communication with nodes above or below.
7. The cloud group-edge power grid hierarchical group control and dispatching system as claimed in claim 1, wherein the dispatching result of each level does not exceed the dispatching range executable by the upper or lower dispatching mechanism.
8. The cloud group-edge power grid hierarchical group control and group dispatching system as claimed in claim 1, wherein the group control and group dispatching system is configured to execute a hierarchical cooperative interactive regulation and control process, the hierarchical cooperative interactive regulation and control process including a bottom-up resource aggregation and aggregation model upload and a top-down scheduling instruction issue and scheduling execution.
9. The cloud group-edge power grid hierarchical group control and dispatching system of claim 8, wherein the uploading of the bottom-up resource aggregation and aggregation model is completed in the future, specifically comprising:
sequentially performing four steps of virtual power plant resource aggregation and model uploading, cluster day-ahead scheduling and model uploading, local dispatching day-ahead scheduling and model uploading and provincial dispatching;
the virtual power plant resource aggregation and model uploading is that the virtual power plant collects distributed resource information through a terminal installed at a distributed resource access point, forms a virtual power plant model including an aggregation curve and a virtual power plant flexibility margin curve and uploads the virtual power plant model to the resource cluster;
the cluster day-ahead scheduling and model uploading is a virtual power plant model in the resource cluster integrated cluster, the cluster preliminary scheduling is carried out by taking economy and flexibility as targets, cluster model information including a cluster interaction curve and a flexibility margin curve is formed by taking a cluster as a unit and is uploaded to an upper-level cluster or a belonging ground-level scheduling mechanism;
the scheduling and model uploading before the dispatching in the provincial level takes network constraints into consideration by the dispatching mechanism in the provincial level, and the cluster models in the region are integrated and primarily scheduled to form a predicted power interaction curve and local flexible resource data with other regions and are uploaded to the dispatching mechanism in the provincial level;
the provincial dispatching is to determine the power interaction of each time interval wide area through the provincial dispatching, and is matched with the electric power market to finish that each flexible resource participates in the auxiliary service of the power grid in order so as to ensure the safe and stable operation of the power grid.
10. The cloud cluster-edge power grid hierarchical group control and dispatching system as claimed in claim 8, wherein the issuing and execution of the top-down dispatching command is completed within a day, specifically comprising:
sequentially issuing a provincial dispatching instruction, correcting a local dispatching result, correcting a cluster dispatching result and executing virtual power plant dispatching;
the four steps of issuing and executing the top-down scheduling instruction are specifically a scheduling result correction process according to the difference between the day-ahead scheduling power, the day-ahead predicted output and the day-ahead actual output difference of the distributed renewable energy source and the scheduling result correction process according to the reserved flexible resource during day-ahead scheduling on the premise that the interlayer power interaction amount is basically fixed.
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