CN115795875B - Method and system for estimating robust operation envelope of aggregator considering distribution network safety - Google Patents

Method and system for estimating robust operation envelope of aggregator considering distribution network safety Download PDF

Info

Publication number
CN115795875B
CN115795875B CN202211538018.8A CN202211538018A CN115795875B CN 115795875 B CN115795875 B CN 115795875B CN 202211538018 A CN202211538018 A CN 202211538018A CN 115795875 B CN115795875 B CN 115795875B
Authority
CN
China
Prior art keywords
robust
envelope
stage
model
aggregator
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202211538018.8A
Other languages
Chinese (zh)
Other versions
CN115795875A (en
Inventor
李正烁
刘聪聪
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shandong University
Original Assignee
Shandong University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shandong University filed Critical Shandong University
Priority to CN202211538018.8A priority Critical patent/CN115795875B/en
Publication of CN115795875A publication Critical patent/CN115795875A/en
Application granted granted Critical
Publication of CN115795875B publication Critical patent/CN115795875B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Landscapes

  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The invention discloses a robust operation envelope estimation method and a robust operation envelope estimation system for an aggregator considering the safety of a power distribution network, wherein the method comprises the following steps: acquiring parameter information of distributed energy equipment; integrating parameter information of the distributed energy equipment to generate an equipment equivalent aggregation model; establishing a two-stage robust optimization model based on equivalent equipment operation constraint in the equipment equivalent aggregation model; and (3) modeling the uncertainty of the power distribution network by considering the state of the power distribution network, and estimating the maximum robust network safe operation envelope of the aggregator by combining a two-stage robust optimization model. The invention solves the robust network safety operation envelope by utilizing the two-stage robust optimization model, fully considers the constraint and the network state of the power distribution network to ensure the network safety, and simultaneously can strive for a larger operation envelope for an aggregator under the uncertain condition by checking whether a group of feasible solutions exist for any point in the uncertain set to deal with the uncertainty in the power distribution network so as to encourage the aggregator to participate in the market.

Description

Method and system for estimating robust operation envelope of aggregator considering distribution network safety
Technical Field
The invention relates to the technical field of operation and control of power systems, in particular to a robust operation envelope estimation method and system for an aggregator considering the safety of a power distribution network.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art that is already known to those of ordinary skill in the art.
With the rapid increase of the proportion of distributed energy sources such as photovoltaic power generation, wind power generation, distributed energy storage systems and the like, stronger flexibility is brought to the power system. Currently, integrating distributed energy sources by an aggregator to provide services for power systems is a reliable solution, such as participation in wholesale market offers. However, in the process of market clearing of wholesale markets, only power transmission network constraint is generally considered, and power distribution network constraint is not considered, so that the safety of the power distribution network can be endangered due to the fact that a large amount of bid amount is transmitted in an aggregate, and problems such as voltage out-of-limit and network congestion are caused. When the transmission of the bid amount in the aggregator causes an out-of-limit or congestion problem during the operation phase, the power distribution system operators typically cut down the transmission amount of the aggregator in order to ensure the safety of the power distribution network, which is not uncommon in real situations and prevents the aggregator from participating in the wholesale market. Therefore, in order to ensure the safe transmission of the bid amount in the aggregator, the security check is needed to be performed on the declared electric quantity range before the aggregator participates in the market quotation, so as to realize the robust estimation of the network security operation envelope of the aggregator.
In the prior art, attarrhaA et al, in "Network-secure and place-elastic aggregator bidding in energy and reserve markets" and "Network-secure envelopes enabling reliable DER bidding in energy and reserve markets" disclosed in "IEEE Transactions on Smart Grid," propose a Network safe operating envelope evaluation method, wherein the operating envelope is a convex set defining the active/reactive power limits that an aggregator can transmit to or receive from the grid. Although this approach can ensure that the line transmission power does not exceed the line capacity, there are still two problems to be solved: one is the uncertainty of how to deal with the distribution network, such as the uncertainty of the node injection/outflow power flowing through the distribution network; and how to handle the constraint of the power distribution network under the limited communication condition. Currently, to solve the second problem, lai S et al in the publication "Demand response aggregation with operating envelope based on data-driven state estimation and sensitivity function signals" propose a network security operation envelope optimization method based on sensitivity analysis, which establishes a sensitivity function describing the relation between the state change of the distribution network and the node injection power of the aggregator, and informs the aggregator of this sensitivity function. However, this approach ignores the impact of other node injection/outflow power on the state of the distribution network, and only uses a single node sensitivity analysis, which may still lead to security problems for the distribution network. In addition, liu M Z et al in publication "Using OPF based operating envelopes to facilitate residential DER services" propose a method of calculating and publishing its power output/input operating envelope to an aggregator by a distribution company that ignores uncertainty in the distribution network and does not verify all possible winning amounts in the operating envelope, which may have areas of infeasibility, as well as possibly causing security problems in the distribution network.
Disclosure of Invention
In order to solve the defects in the prior art, the invention provides a robust operation envelope estimation method and a robust operation envelope estimation system for an aggregator, which consider the safety of a distribution network, solve the maximum robust network safety operation envelope of the aggregator by utilizing a two-stage robust optimization model, fully consider the constraint of the distribution network and the network state to ensure the network safety, and simultaneously check whether a group of feasible solutions exist at any point in an uncertain set or not so as to cope with the uncertainty in the distribution network, so that the larger operation envelope can be strived for the aggregator under the uncertain condition to excite the aggregator to participate in the market.
In a first aspect, the present disclosure provides a method for estimating an aggregate robust operational envelope taking into account security of a power distribution network, comprising:
acquiring parameter information of distributed energy equipment;
integrating parameter information of the distributed energy equipment to generate an equipment equivalent aggregation model;
establishing a two-stage robust optimization model based on equivalent equipment operation constraint in the equipment equivalent aggregation model;
and (3) modeling the uncertainty of the power distribution network by considering the state of the power distribution network, and estimating the maximum robust network safe operation envelope of the aggregator by combining a two-stage robust optimization model.
According to a further technical scheme, the user-level distributed energy equipment comprises distributed power generation equipment, a load and an energy storage system; the obtained parameter information comprises upper and lower limits of the output of the distributed power generation equipment, the maximum value of the load participating in the demand response, the upper and lower limits of the regulating coefficient of the controllable load in the load, the charging and discharging efficiency coefficient of the energy storage system, the upper limit of the charging and discharging power of the energy storage system and the upper and lower limits of the state of charge of the energy storage system.
According to a further technical scheme, the equipment equivalent aggregation model comprises a virtual synchronous machine aggregation model and a virtual energy storage aggregation model, and the generation process comprises the following steps:
based on the parameter information of the distributed energy equipment, constructing a model of the distributed power generation equipment and a model of the load, and aggregating the photovoltaic power generation equipment model and the load model into a virtual synchronous machine model;
and aggregating the energy storage system into a virtual energy storage model based on the parameter information of the distributed energy equipment.
In the first stage, determining initial upper and lower limits of an operation envelope based on equivalent equipment operation constraints provided by all aggregators, and obtaining an initial range of an aggregation robust network safe operation envelope;
in the second stage, checking whether the point which does not meet the network security constraint exists in the maximum robust network security operation envelope obtained in the first stage, and if the point does not exist, correcting the upper limit and the lower limit of the operation envelope, so as to obtain the final maximum robust network security operation envelope of the aggregator.
In the first stage, a model taking the operation envelope of all aggregators as an objective function is constructed, and the initial range of the operation envelope is determined according to the sum of the upper limit and the lower limit of the power of the equipment equivalent aggregation model, wherein the initial upper limit and the lower limit of the operation envelope are the initial range of the robust network safe operation envelope of the aggregators.
According to the further technical scheme, in the second stage, on the basis of the robust optimization model constructed in the first stage, a safe operation constraint of the power distribution network is constructed, according to the robust network safe operation envelope of the aggregator obtained in the first stage, any point in the operation envelope is continuously simulated, whether all possible winning amounts in the operation envelope are safely transmitted or not is checked, namely whether the operation constraint constructed in the second stage is met or not is checked, if yes, a final robust network safe operation envelope of the aggregator is obtained, and if not, the operation envelope is revised.
According to a further technical scheme, on the basis of a two-stage robust optimization model, adding constraints into a first stage, and correcting an initial range of an operation envelope; and on the basis, carrying out the second stage, and continuously carrying out loop iteration until the operation constraint constructed in the second stage is satisfied, thereby obtaining the final maximum robust network security operation envelope of the aggregator.
In a second aspect, the present disclosure provides an aggregator robust operational envelope estimation system that accounts for power distribution network security, comprising:
the data information acquisition module is used for acquiring parameter information of the distributed energy equipment;
the aggregation model generation module is used for integrating the parameter information of the distributed energy equipment to generate an equipment equivalent aggregation model;
the safe operation envelope estimation module is used for establishing a two-stage robust optimization model based on equivalent equipment operation constraint in the equipment equivalent aggregation model; and (3) modeling the uncertainty of the power distribution network by considering the state of the power distribution network, and estimating the maximum robust network safe operation envelope of the aggregator by combining a two-stage robust optimization model.
In a third aspect, the present disclosure also provides an electronic device comprising a memory and a processor, and computer instructions stored on the memory and running on the processor, which when executed by the processor, perform the steps of the method of the first aspect.
In a fourth aspect, the present disclosure also provides a computer readable storage medium storing computer instructions which, when executed by a processor, perform the steps of the method of the first aspect.
The one or more of the above technical solutions have the following beneficial effects:
1. the invention provides a robust operation envelope estimation method and system of an aggregator considering the safety of a power distribution network, which solves the maximum robust network safety operation envelope of the aggregator by utilizing a two-stage robust optimization model, fully considers the constraint and the network state of the power distribution network to ensure the safety of the network, and simultaneously, checks whether a group of feasible solutions exist at any point in an uncertain set to deal with the uncertainty in the power distribution network, such as distributed energy output and root node voltage, so that the larger operation envelope can be strived for the aggregator under the uncertain condition to excite the aggregator to participate in the market.
2. The invention considers the authority problem of the distribution network information, takes the distribution system operator as a computing center, optimizes the running states of all user-level equipment, can provide a larger running envelope for the aggregators under uncertain situations, effectively stimulates the aggregators to participate in the market, and fully excavates the flexibility of the distributed energy sources.
3. Compared with the traditional network security operation envelope evaluation method, the method fully considers network security constraint, injection power of all nodes and uncertainty in the network, and can strive for a larger operation envelope for an aggregator under the uncertain condition to encourage the aggregator to participate in the market.
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.
FIG. 1 is a schematic diagram of a framework for running envelope assessment when an aggregator participates in a wholesale market;
fig. 2 is a flowchart of a robust network security operation envelope estimation method according to an embodiment of the present invention.
Detailed Description
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the invention. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the present invention. As used herein, the singular is also intended to include the plural unless the context clearly indicates otherwise, and furthermore, it is to be understood that the terms "comprises" and/or "comprising" when used in this specification are taken to specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof.
Example 1
In order to solve the problems in the background art, the embodiment provides an aggregator robust operation envelope estimation method considering the safety of a power distribution network, and compared with the traditional network safe operation envelope estimation method, the method fully considers network safety constraint, the injection power of all nodes and the uncertainty in the network, and can obtain a larger safe operation envelope for the aggregator under the uncertain condition so as to encourage the aggregator to participate in the market.
When an aggregator participates in a wholesale market, the aggregator needs to submit a bid to the market operator, the bid including an operational envelope. In order to ensure the safety of the distribution network in the quotation process, the embodiment provides the robust network safety operation envelope estimation method for the quotation of the aggregators in the wholesale market, so that the operation envelope of the aggregators can be maximized on the premise of ensuring the network safety, namely, before the aggregators participate in the wholesale market, the estimated aggregators can meet the operation envelope of the safety constraint of the distribution network, and further participate in the wholesale market. As shown in fig. 1, a user first signs a contract with an aggregator, and the user submits parameter information of distributed energy equipment to the aggregator; then, integrating parameter information of the distributed energy equipment by an aggregator to generate an equipment equivalent aggregation model of a virtual synchronous machine or/and virtual energy storage, and uploading equivalent equipment operation constraint to a distribution system operator based on the aggregation model; finally, the distribution system operators comprehensively consider network states of the distribution network, such as node voltage, line transmission power and the like, and construct a two-stage robust optimization model by combining with equivalent operation constraints of the aggregators, so that the operation envelope of all the aggregators is maximized, and meanwhile, the optimization result is transmitted to the aggregators. The method for estimating the safe operation envelope of the aggregate Shang Lu rod network in the embodiment specifically comprises the following steps:
step S1, acquiring parameter information of distributed energy equipment;
s2, integrating parameter information of the distributed energy equipment to generate an equipment equivalent aggregation model;
step S3, establishing a two-stage robust optimization model based on equivalent equipment operation constraint in the equipment equivalent aggregation model;
and S4, modeling the uncertainty of the power distribution network by considering the state of the power distribution network, and estimating the maximum robust network safe operation envelope of the aggregator by combining a two-stage robust optimization model.
First, in the step S1, the aggregator obtains parameter information of the distributed energy device according to information submitted by the user. The user-level distributed energy equipment comprises distributed power generation equipment (in the embodiment, photovoltaic power generation is used as the distributed power generation equipment), loads (including adjustable loads and non-adjustable loads) and an energy storage system; the obtained parameter information comprises upper and lower limits of the output of the distributed power generation equipment, the maximum value of the load participating in the demand response, the upper and lower limits of the regulating coefficient of the controllable load in the load, the charging and discharging efficiency coefficient of the energy storage system, the upper limit of the charging and discharging power of the energy storage system, the upper limit and the lower limit of the charge state of the energy storage system and the like.
In the step S2, the aggregator integrates the distributed energy devices to generate a device equivalent aggregation model, including a virtual synchronous machine aggregation model and a virtual energy storage aggregation model. First, a model of a distributed power generation apparatus (photovoltaic power generation apparatus) and a load is constructed as follows:
Figure GDA0004215719090000071
P D,d,n =f flex,b,n P d,b,n (2)
Figure GDA0004215719090000072
Figure GDA0004215719090000073
wherein P is PV,b,n The output of the nth photovoltaic power generation device of the aggregator b;
Figure GDA0004215719090000074
P PV,b,n maximum and minimum technical output of the nth photovoltaic power generation equipment respectively; p (P) D,d,n Actual power consumption for load n; p (P) d,b,n 、/>
Figure GDA0004215719090000075
The load involved in demand response and its maximum value respectively; f (f) flex,b,n The flexibility adjusting coefficient of the load can be adjusted and controlled for the load n; />
Figure GDA0004215719090000076
f flex,b,n The upper limit and the lower limit of the adjustment coefficient are respectively.
Then, the photovoltaic power generation equipment model and the load model are aggregated into a virtual synchronous machine model, and the model is as follows:
Figure GDA0004215719090000077
Figure GDA0004215719090000078
in the method, in the process of the invention,
Figure GDA0004215719090000079
photovoltaic power generation equipment and load sets of the aggregators b respectively; p (P) VSG,b Outputting power for the virtual synchronous machine of the aggregator b; />
Figure GDA00042157190900000710
P VSG,b The upper limit and the lower limit of the output of the virtual synchronous machine are respectively defined. In the present embodiment, P is used VSG,b ∈Ω VSG,b Representing the operational constraints of the virtual synchro-machine model, wherein Ω VSG,b Is a feasible operation area of the virtual synchronous machine.
Likewise, aggregating energy storage systems into virtual energy storage models is:
Figure GDA00042157190900000711
Figure GDA00042157190900000712
Figure GDA0004215719090000081
wherein P is VB,b 、E VB,b,t Active power, state of charge, respectively, of virtual energy storage of the aggregator b, wherein when the energy storage system is in a discharge state, P VB,b Positive, otherwise negative;
Figure GDA0004215719090000082
P VB,b the discharging power limit and the charging power limit of the energy storage system are respectively; />
Figure GDA0004215719090000083
E VB,b,t The upper limit and the lower limit of the charge state of the energy storage system are respectively; η (eta) + ,η - Respectively charging and discharging efficiency coefficients of the energy storage system; Δt is the discrete time interval of the energy storage system. In the present embodiment, P is used VB,b ∈Ω VB,b Representing constraints of the virtual energy storage model, wherein Ω VB,b Is a feasible operation area for virtual energy storage.
In step 3, in order to ensure network security and operation envelope optimality at the same time, the embodiment establishes a two-stage robust optimization model for the power distribution system operator, so as to calculate the robust network security operation envelope of the aggregator. Firstly, in a first stage, determining initial upper and lower limits of an operation envelope based on equivalent equipment operation constraints submitted by all aggregators, and obtaining an initial range of an aggregation robust network safe operation envelope; and in the second stage, checking whether points which do not meet network security constraints exist in the robust network security operation envelope obtained in the first stage, if so, indicating that the operation envelope given in the first stage is not accurate enough, and correcting the upper limit and the lower limit of the operation envelope to obtain the final maximum robust network security operation envelope of the aggregator.
Specifically, the first-stage optimization problem aims at maximizing the operation envelope of all aggregators, and an initial range of the robust network security operation envelope of the aggregators is obtained. As described above, in the case of ensuring universality, assuming that the aggregator is composed of two parts, namely a virtual synchronous machine and a virtual energy storage, the first-stage optimization problem can be expressed as follows:
namely, the objective function of the first stage of the robust optimization model is as follows:
Figure GDA0004215719090000084
the constraint conditions are as follows:
Figure GDA0004215719090000085
in the above, the variables are optimized
Figure GDA0004215719090000086
And (3) withP Ag,b Together form the aggregate b output power P Ag,b Is a robust network security operating envelope of>
Figure GDA0004215719090000091
Figure GDA0004215719090000092
The initial upper and lower limits of the operating envelope are determined by the sum of the upper and lower power limits of the aggregate model, respectively.
That is, in the first stage, a model with the operation envelope of all aggregators maximized as an objective function is constructed, and the initial range of the operation envelope is determined according to the sum of the upper limit and the lower limit of the power of the equipment equivalent aggregation model, wherein the initial upper limit and the lower limit of the operation envelope are the initial range of the robust network safe operation envelope of the aggregators.
With respect to the objective function (10) described above, when multiple aggregators are involved, it is difficult for the distribution system operator to fairly cut down the envelope, and a common approach is to target minimizing the overall cut-down amount for all aggregators. However, this approach is beneficial for some aggregators that are insensitive to network security issues, punishing aggregators located in weaker areas (e.g., end users). To overcome this problem, in this embodiment, the aggregate-reduction amount is described in equation (10) using a square distance, the optimized envelope is made as close as possible to its initial envelope, and the reduction amount is equally distributed to each aggregate.
Taking into account the maximum operating envelope determined in the first stage
Figure GDA0004215719090000093
The second stage is provided, and for any point in the operating envelope obtained in the first stage, the second stage optimization problem checks whether the point is feasible or not, and corrects the point.
The second-stage optimization problem requires assurance that operational constraints, including network security constraints of the power distribution system, are met. By using
Figure GDA0004215719090000094
And ε represents the set of nodes and lines, the second phase of operational constraints can be expressed as:
Figure GDA0004215719090000097
Figure GDA0004215719090000098
P Ag,b =P VSG,b +P VB,b (14)
P VSG,b ∈Ω VSG,b ,P VB,b ∈Ω VB,b (15)
Figure GDA0004215719090000101
Figure GDA0004215719090000102
Figure GDA0004215719090000103
Figure GDA0004215719090000104
v 1 =v set (20)
Figure GDA0004215719090000105
0≤l ij ≤|I ij | 2 (22)
Figure GDA0004215719090000106
and u is P,b ∈[0,1] (23)
In the above, any one of
Figure GDA0004215719090000107
And (i, j) ∈ε, vector P inj 、/>
Figure GDA0004215719090000108
Respectively considering total injection/outflow active power after the polymerization quotient and initial injection/outflow active power of the network; p (P) inj,j ,/>
Figure GDA0004215719090000109
The total injected/flowed active power and the initial injected/flowed active power of the node j are respectively positive and negative when the power is injected into the power grid; vector P Ag To be the instituteThe output active power of the aggregation quotient; p (P) Ag,b Output active power for aggregator b; h Ag 、H inj Respectively P Ag 、/>
Figure GDA00042157190900001010
Wherein H is Ag (j, b) indicates whether the aggregator b is located on node j, H inj (i, j) represents whether node i and node j are the same node, if so, 1, otherwise 0; vector Q inj 、/>
Figure GDA00042157190900001011
Respectively considering total injected/discharged reactive power after polymerization quotient and initial injected/discharged reactive power of the network; q (Q) inj,j ,/>
Figure GDA00042157190900001012
The total injected/flown out reactive power of the node j and the initial injected/flown out reactive power respectively; vector Q Ag Output reactive power for the aggregator; q (Q) Ag,b Output reactive power for aggregator b; />
Figure GDA00042157190900001013
Respectively parent node and child node sets of the node j; p (P) ij 、Q ij 、l ij The squares of the active power, reactive power and current flowing through the lines (i, j), respectively; r is (r) ij 、x ij The resistance, reactance of the lines (i, j), respectively; v j 、v set Square of node and root node voltages respectively; />
Figure GDA00042157190900001014
v j The upper limit and the lower limit of the square voltage of the node j are respectively; i ij An upper limit which is the square of the current flowing through the line (i, j); u (u) P,b Is an uncertain variable, which is represented by the formula [0,1 ]]Internal variation.
The constraints (12) and (13) represent the total injected active power and the injected reactive power of each node; constraint (14) indicates that the output active power of the aggregator is represented by virtualA quasi-synchronous machine and a virtual energy storage; constraint (15) is the limitation of the aggregated virtual synchronous machine and the virtual energy storage feasible operation area; constraints (16) - (22) represent network security constraints described using the DistFlow model; constraint (23) describes the uncertainty variable u P,b And variable (i.e. P Ag,b
Figure GDA0004215719090000111
and P Ag,b ) Relationship between them.
In the second stage, on the basis of the robust optimization model constructed in the first stage, constructing a power distribution network safety constraint, continuously simulating any point in the operation envelope according to the robust network safety operation envelope of the aggregation obtained in the first stage, checking whether all possible winning amounts of electricity in the operation envelope are safely transmitted, if so, obtaining the maximum robust network safety operation envelope of the final aggregation, otherwise, correcting the operation envelope. That is, the constructed constraint is utilized to check the point in the envelope, and whether any point in the envelope meets the operation constraint constructed in the second stage is checked, namely, whether the point has a feasible solution is checked, and if the feasible solution exists, the point meets the network operation constraint, so that the network security can be ensured.
The correction refers to adding constraint to the first stage based on the two-stage robust optimization model, correcting the initial range of the operation envelope, and then performing the second stage based on the initial range of the operation envelope, and obtaining the final maximum robust network safe operation envelope of the aggregator by continuously performing cyclic iteration until the operation constraint constructed in the second stage is satisfied.
In step S4, the power distribution network uncertainty is modeled in consideration of the power distribution network state, and the maximum robust network security operation envelope of the aggregator is estimated by combining the two-stage robust optimization model. Specifically, the uncertainty parameters u= [ [ P ] of the output power of the distributed energy equipment, the voltage of the root node and the like are considered in consideration of the state of the power distribution network VSG,b ];v set ;u P,b ]Modeling as an uncertainty set, which is a set of polyhedrons
Figure GDA0004215719090000112
The constraint is as follows:
Figure GDA0004215719090000113
in the above, P VSG,0,b 、Δ G,b The output of the virtual synchronous machine under the aggregation quotient b and the possible output deviation are respectively;
Figure GDA0004215719090000114
v set the upper and lower limits of the root node voltage, respectively.
Combining the two-stage optimization problem in the step 3 with the above-mentioned established uncertainty set, a mathematical model of the robust operation envelope estimation method can be obtained, that is, by integrating the above-mentioned model and the corresponding formula, a compact form of the robust network safe operation envelope model in which the aggregator participates in wholesale market quotations can be obtained, which is:
Figure GDA0004215719090000121
in the above-mentioned method, the step of,
Figure GDA0004215719090000122
y=[[P ij ];[Q ij ];[v j ];[l ij ];[P Ag,b ];[P VSG,b ];[P VB,b ]]optimizing variables of the first stage and the second stage respectively; u= { u|Ru.ltoreq.r } is a compact form of the uncertain polyhedron set; a is that l 、B l C, D, E, F, J, R are coefficient matrices; c. s, f l 、h l And d, g and r are coefficient vectors.
The first stage optimization problem is to maximize the envelope of all aggregators without taking other things into account, and the second stage optimization problem is to check the correlation
Figure GDA0004215719090000123
Whether any u in the list exists a set of feasibleThe solution y, if present, the running envelope x is robust, i.e. the envelope is viable; otherwise, the upper and lower ranges of the envelope are revised, x is selected again, and the checking process is repeated. And (3) carrying out iterative solution on the optimization problems of the first stage and the second stage, and finally converging to a solution meeting the precision requirement, thereby obtaining the required maximum robust network safe operation envelope of the aggregator.
The above-described scheme of the present embodiment can handle network security constraints within a limited number of communications and take into account uncertainty of the power distribution system. This is because the distribution system operator that calculates the network security envelope grasps the network state, and the aggregator directly controls the user-level devices according to the optimization results given by the distribution system operator. The aggregator can obtain a larger operation envelope on the premise of ensuring network security so as to better participate in the market; while the principle of the distribution system operator helping the aggregator is to minimize the reduction in amount to ensure network security.
The method provided by the embodiment utilizes a two-stage robust optimization model to solve the maximum robust network security operation envelope of the aggregator, fully considers the constraint and the network state of the power distribution network to ensure the network security, and simultaneously, checks whether a group of feasible solutions exist for any point in an uncertain set to cope with uncertainty in the power distribution network, such as distributed energy output and root node voltage. In addition, the authority problem of the distribution network information is considered, the distribution system operator is taken as a computing center, the running states of all user-level devices are optimized, a larger running envelope can be provided for an aggregator under uncertain situations, the aggregator is effectively stimulated to participate in the market, and the flexibility of the distributed energy sources is fully excavated.
Example two
The present embodiment provides an aggregator robust operation envelope estimation system considering power distribution network security, comprising:
the data information acquisition module is used for acquiring parameter information of the distributed energy equipment;
the aggregation model generation module is used for integrating the parameter information of the distributed energy equipment to generate an equipment equivalent aggregation model;
the safe operation envelope estimation module is used for establishing a two-stage robust optimization model based on equivalent equipment operation constraint in the equipment equivalent aggregation model; and (3) modeling the uncertainty of the power distribution network by considering the state of the power distribution network, and estimating the maximum robust network safe operation envelope of the aggregator by combining a two-stage robust optimization model.
Example III
The present embodiment provides an electronic device comprising a memory and a processor and computer instructions stored on the memory and running on the processor, which when executed by the processor, perform the steps in the method for estimating an aggregate robust operating envelope taking into account power distribution network security as described above.
Example IV
The present embodiment also provides a computer readable storage medium storing computer instructions that, when executed by a processor, perform the steps in an aggregator robust operating envelope estimation method as described above that considers power distribution network security.
The steps involved in the second to fourth embodiments correspond to the first embodiment of the method, and the detailed description of the second embodiment refers to the relevant description of the first embodiment. The term "computer-readable storage medium" should be taken to include a single medium or multiple media including one or more sets of instructions; it should also be understood to include any medium capable of storing, encoding or carrying a set of instructions for execution by a processor and that cause the processor to perform any one of the methods of the present invention.
It will be appreciated by those skilled in the art that the modules or steps of the invention described above may be implemented by general-purpose computer means, alternatively they may be implemented by program code executable by computing means, whereby they may be stored in storage means for execution by computing means, or they may be made into individual integrated circuit modules separately, or a plurality of modules or steps in them may be made into a single integrated circuit module. The present invention is not limited to any specific combination of hardware and software.
The above description is only of the preferred embodiments of the present invention and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
While the foregoing description of the embodiments of the present invention has been presented in conjunction with the drawings, it should be understood that it is not intended to limit the scope of the invention, but rather, it is intended to cover all modifications or variations within the scope of the invention as defined by the claims of the present invention.

Claims (7)

1. An aggregator robust operational envelope estimation method that considers power distribution network security, comprising:
acquiring parameter information of distributed energy equipment;
integrating parameter information of the distributed energy equipment to generate an equipment equivalent aggregation model;
establishing a two-stage robust optimization model based on equivalent equipment operation constraint in the equipment equivalent aggregation model;
modeling the uncertainty of the power distribution network by considering the state of the power distribution network, and estimating the maximum robust network safe operation envelope of an aggregator by combining a two-stage robust optimization model; wherein, modeling the uncertainty of the distribution network is: uncertainty parameters u= [ [ P ] of output and root node voltage of distributed energy equipment VSG,b ];v set ;u P,b ]Modeling as an uncertainty set;
the method for establishing the two-stage robust optimization model comprises the following steps:
in the first stage, determining initial upper and lower limits of an operation envelope based on equivalent equipment operation constraints provided by all aggregators, and obtaining an initial range of an aggregation robust network safe operation envelope; specifically, in the first stage, a model taking the operation envelope of all aggregators as an objective function is constructed, and the initial range of the operation envelope is determined according to the sum of the upper limit and the lower limit of the power of the equipment equivalent aggregation model, wherein the initial upper limit and the lower limit of the operation envelope are the initial range of the robust network safe operation envelope of the aggregators; the objective function of the model constructed in the first stage is:
Figure FDA0004215719080000011
the constraint conditions are as follows:
Figure FDA0004215719080000012
in the above, the variables are optimized
Figure FDA0004215719080000013
And (3) withP Ag,b Together form the aggregate b output power P Ag,b Is a robust network security operating envelope of>
Figure FDA0004215719080000014
Figure FDA0004215719080000015
The initial upper limit and the initial lower limit of the operation envelope are respectively determined by the sum of the upper limit and the lower limit of the power of the aggregation model;
in the second stage, checking whether points which do not meet network security constraints exist in the maximum robust network security operation envelope obtained in the first stage, and if the points do not meet network security constraints, correcting the upper limit and the lower limit of the operation envelope, so as to obtain the final maximum robust network security operation envelope of the aggregator; specifically, in the second stage, on the basis of the robust optimization model constructed in the first stage, a safe operation constraint of the power distribution network is constructed, according to the robust network safe operation envelope of the aggregator obtained in the first stage, any point in the operation envelope is continuously simulated, whether all possible winning amounts of electricity in the operation envelope are safely transmitted or not is checked, namely whether the operation constraint constructed in the second stage is met or not, if yes, the final robust network safe operation envelope of the aggregator is obtained, otherwise, the operation envelope is revised.
2. The method for estimating a robust operating envelope for an aggregator in consideration of distribution network security of claim 1, wherein the user-level distributed energy device comprises a distributed power generation device, a load, and an energy storage system; the obtained parameter information comprises upper and lower limits of the output of the distributed power generation equipment, the maximum value of the load participating in the demand response, the upper and lower limits of the regulating coefficient of the controllable load in the load, the charging and discharging efficiency coefficient of the energy storage system, the upper limit of the charging and discharging power of the energy storage system and the upper and lower limits of the state of charge of the energy storage system.
3. The method for estimating an aggregate robust operating envelope in consideration of security of a power distribution network of claim 1, wherein the device equivalent aggregate model comprises a virtual synchro machine aggregate model and a virtual energy storage aggregate model, and the generating process comprises:
based on the parameter information of the distributed energy equipment, constructing a model of the distributed power generation equipment and a model of the load, and aggregating the photovoltaic power generation equipment model and the load model into a virtual synchronous machine model;
and aggregating the energy storage system into a virtual energy storage model based on the parameter information of the distributed energy equipment.
4. The method for estimating an aggregate robust operational envelope taking into account safety of a power distribution network according to claim 1, wherein the modification means that, on the basis of a two-stage robust optimization model, constraints are added to the first stage, thereby modifying an initial range of the operational envelope; and on the basis, carrying out the second stage, and continuously carrying out loop iteration until the operation constraint constructed in the second stage is satisfied, thereby obtaining the final maximum robust network security operation envelope of the aggregator.
5. An aggregator robust operational envelope estimation system that accounts for power distribution network security, comprising:
the data information acquisition module is used for acquiring parameter information of the distributed energy equipment;
the aggregation model generation module is used for integrating the parameter information of the distributed energy equipment to generate an equipment equivalent aggregation model;
the safe operation envelope estimation module is used for establishing a two-stage robust optimization model based on equivalent equipment operation constraint in the equipment equivalent aggregation model; modeling the uncertainty of the power distribution network by considering the state of the power distribution network, and estimating the maximum robust network safe operation envelope of an aggregator by combining a two-stage robust optimization model; wherein, modeling the uncertainty of the distribution network is: uncertainty parameters u= [ [ P ] of output and root node voltage of distributed energy equipment VSG,b ];v set ;u P,b ]Modeling as an uncertainty set;
the method for establishing the two-stage robust optimization model comprises the following steps:
in the first stage, determining initial upper and lower limits of an operation envelope based on equivalent equipment operation constraints provided by all aggregators, and obtaining an initial range of an aggregation robust network safe operation envelope; specifically, in the first stage, a model taking the operation envelope of all aggregators as an objective function is constructed, and the initial range of the operation envelope is determined according to the sum of the upper limit and the lower limit of the power of the equipment equivalent aggregation model, wherein the initial upper limit and the lower limit of the operation envelope are the initial range of the robust network safe operation envelope of the aggregators; the objective function of the model constructed in the first stage is:
Figure FDA0004215719080000031
the constraint conditions are as follows:
Figure FDA0004215719080000041
in the above, the variables are optimized
Figure FDA0004215719080000042
And P Ag,b Together form the aggregate b output power P Ag,b Is a robust network security operating envelope of>
Figure FDA0004215719080000043
Figure FDA0004215719080000044
The initial upper limit and the initial lower limit of the operation envelope are respectively determined by the sum of the upper limit and the lower limit of the power of the aggregation model;
in the second stage, checking whether points which do not meet network security constraints exist in the maximum robust network security operation envelope obtained in the first stage, and if the points do not meet network security constraints, correcting the upper limit and the lower limit of the operation envelope, so as to obtain the final maximum robust network security operation envelope of the aggregator; specifically, in the second stage, on the basis of the robust optimization model constructed in the first stage, a safe operation constraint of the power distribution network is constructed, according to the robust network safe operation envelope of the aggregator obtained in the first stage, any point in the operation envelope is continuously simulated, whether all possible winning amounts of electricity in the operation envelope are safely transmitted or not is checked, namely whether the operation constraint constructed in the second stage is met or not, if yes, the final robust network safe operation envelope of the aggregator is obtained, otherwise, the operation envelope is revised.
6. An electronic device comprising a memory and a processor and computer instructions stored on the memory and run on the processor, which when run by the processor, perform the steps of the method for aggregate robust operational envelope estimation taking into account power distribution network security as claimed in any of claims 1-4.
7. A computer readable storage medium storing computer instructions which, when executed by a processor, perform the steps of the method for aggregate robust operational envelope estimation taking into account power distribution network security as claimed in any of claims 1-4.
CN202211538018.8A 2022-12-02 2022-12-02 Method and system for estimating robust operation envelope of aggregator considering distribution network safety Active CN115795875B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202211538018.8A CN115795875B (en) 2022-12-02 2022-12-02 Method and system for estimating robust operation envelope of aggregator considering distribution network safety

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202211538018.8A CN115795875B (en) 2022-12-02 2022-12-02 Method and system for estimating robust operation envelope of aggregator considering distribution network safety

Publications (2)

Publication Number Publication Date
CN115795875A CN115795875A (en) 2023-03-14
CN115795875B true CN115795875B (en) 2023-06-16

Family

ID=85444927

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202211538018.8A Active CN115795875B (en) 2022-12-02 2022-12-02 Method and system for estimating robust operation envelope of aggregator considering distribution network safety

Country Status (1)

Country Link
CN (1) CN115795875B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117077946B (en) * 2023-08-16 2024-04-16 国网山东省电力公司东营供电公司 Novel market subject identification method and system suitable for participating in power grid aggregation scheduling

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113659572A (en) * 2021-08-16 2021-11-16 四川大学 Robust optimization method of gas-electricity integrated energy distribution network considering network reconstruction and demand response

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9373960B2 (en) * 2013-03-13 2016-06-21 Oracle International Corporation Computerized system and method for distributed energy resource scheduling
CN107979111A (en) * 2017-07-21 2018-05-01 天津大学 A kind of energy management method for micro-grid based on the optimization of two benches robust
CN111242392B (en) * 2020-03-06 2022-12-09 上海电力大学 Double-layer and two-stage operation method for multi-virtual power plant participating in active power distribution network
CN112257212B (en) * 2020-12-21 2021-05-14 中国电力科学研究院有限公司 Modeling method and system of comprehensive load model considering distributed power generation system
CN114094609B (en) * 2021-11-24 2023-08-22 国网湖南省电力有限公司 Optimal configuration method of power grid energy storage system

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113659572A (en) * 2021-08-16 2021-11-16 四川大学 Robust optimization method of gas-electricity integrated energy distribution network considering network reconstruction and demand response

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
基于熵值法和DEA的增量配电价格制定方法;任曦骏;叶斌;高赐威;王宝;杨娜;张茂;邵海雯;;电力建设(01);84-91 *
期望场景下的并网型微电网两阶段鲁棒优化调度;桑博;张涛;刘亚杰;刘陵顺;朱骏杰;王锐;;中国电机工程学报(第19期);131-143 *

Also Published As

Publication number Publication date
CN115795875A (en) 2023-03-14

Similar Documents

Publication Publication Date Title
CN112467722B (en) Active power distribution network source-network-load-storage coordination planning method considering electric vehicle charging station
Zhang et al. Distributed online optimal energy management for smart grids
CN108320111B (en) A kind of ultra-large GROUP OF HYDROPOWER STATIONS practical dispatching method in short term
CN108446796A (en) Consider net-source-lotus coordinated planning method of electric automobile load demand response
CN113572163B (en) Optimized scheduling method for distributed power supply active power distribution network based on improved affine algorithm
Zhang et al. Optimal residential battery storage operations using robust data-driven dynamic programming
CN105184027B (en) A kind of power load modelling approach based on interacting multiple model algorithm
CN110061524B (en) Active power dispatching equivalent aggregation method and system for distributed power supply virtual power plant based on deep neural network
CN115795875B (en) Method and system for estimating robust operation envelope of aggregator considering distribution network safety
Li et al. Two-stage community energy trading under end-edge-cloud orchestration
CN115640963A (en) Offshore wind power access system robust planning method considering investment operation mode
Chen et al. Distributional analysis for model predictive deferrable load control
Zhang et al. Distributed optimal active power dispatch under constraints for smart grids
CN113779874A (en) Multi-objective optimization method for off-grid microgrid construction
CN117578409A (en) Multi-energy complementary optimization scheduling method and system in power market environment
CN109066651A (en) The calculation method of wind-powered electricity generation-load scenarios limit transmitted power
CN112651177B (en) Flexible resource allocation method and system for power distribution network considering flexible service cost
CN111523947B (en) Virtual power plant power generation cost generation method
Zhu et al. Dynamic multi-objective dispatch considering wind power and electric vehicles with probabilistic characteristics
CN111834996B (en) Power grid line loss calculation method and device
CN116995740A (en) Distributed wind power and energy storage optimal configuration method and system for power distribution network
CN115549137A (en) Distributed power grid regulation and control system and regulation and control method
CN114549148A (en) Virtual power plant bidding method, device, equipment and storage medium
CN114475331A (en) Electric automobile aggregation optimization scheduling method considering load rebound
CN114358430A (en) Novel rural power distribution network planning strategy based on robust optimization

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant