CN116154849A - Power grid distributed power supply bearing capacity assessment method - Google Patents

Power grid distributed power supply bearing capacity assessment method Download PDF

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Publication number
CN116154849A
CN116154849A CN202211738633.3A CN202211738633A CN116154849A CN 116154849 A CN116154849 A CN 116154849A CN 202211738633 A CN202211738633 A CN 202211738633A CN 116154849 A CN116154849 A CN 116154849A
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constraint
distributed power
power grid
bearing capacity
power supply
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郭雪丽
王爽
龚正国
姚楠
郭仁朝
李婷婷
陈庆岩
杨冰
王莹
宋少
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Nanyang Power Supply Co of State Grid Henan Electric Power Co Ltd
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Nanyang Power Supply Co of State Grid Henan Electric Power Co Ltd
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/381—Dispersed generators
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/01—Arrangements for reducing harmonics or ripples
    • 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
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
    • H02J3/466—Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/10—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
    • 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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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The invention provides a method for evaluating the bearing capacity of a distributed power supply of a power grid, and belongs to the technical field of power grid planning. The method comprises the steps of constructing a bearing capacity assessment model; simplifying and solving the bearing capacity assessment model; collecting basic data of a power grid to be evaluated; inputting basic data of the power grid to be evaluated into the bearing capacity evaluation model, and calculating the evaluation model to obtain an evaluation result; constraint conditions of the bearing capacity evaluation model comprise a tide equation constraint, a line current carrying constraint, a short circuit current constraint, a voltage deviation constraint, a harmonic constraint and a distributed power supply operation constraint. Based on system model data, operation data and the like, the invention fully considers the constraints of stability, short-circuit current, voltage deviation, harmonic waves and the like of the power distribution network, can obtain the numerical result of the distributed power supply bearing capacity of each level of bus of the power distribution network, can divide the bearing capacity level by colors, and can provide effective basis for decision making of government, power grid enterprises and investors.

Description

Power grid distributed power supply bearing capacity assessment method
Technical Field
The invention belongs to the technical field of power grid planning, and particularly relates to a method for evaluating the bearing capacity of a distributed power supply of a power grid.
Background
The output of the distributed power supply such as photovoltaic power, wind power and the like is closely related to natural conditions such as the local solar energy real-time irradiation intensity, the wind power intensity and the like, and has obvious intermittence and fluctuation. After the large-scale distributed power supply is connected with a power grid, the characteristics of the traditional power distribution network are changed, the power distribution network is changed from a passive network to an active network, and the power flow of the power distribution network is changed from one-way to two-way, so that various adverse effects are brought to the voltage, the electric energy quality, the relay protection, the planning, the scheduling operation and the like of the power distribution network, and the safe and stable operation of the power distribution network is seriously threatened. In addition, the distributed power supply is usually located at the tail end of the power distribution network, the access voltage level is low, the information access rate is not high, the observability is poor, and the security risk caused by unordered access of the distributed power supply is often unpredictable for a power grid dispatching department. Therefore, in order to guarantee the coordinated development of the distributed power supply, the load and the power grid, the capacity margin of the distributed power supply which can be accessed in the future by each node must be estimated based on the stable operation boundary and the actual operation state of the power distribution network, so that guidance is provided for planning and construction of the distributed power supply and the power distribution network.
And the distributed power supply access power grid bearing capacity evaluation guideline (DL/T2041-2019) evaluates all devices in the same power supply area on the premise of ensuring safe and stable operation of the power grid and full consumption of the distributed power supply so as to determine the distributed power supply access bearing capacity evaluation grade. However, the standard evaluation result does not relate to specific accessible distributed power capacity, and the evaluation result is rough, so that the carrying capacity of the power grid to the distributed power can not be accurately quantified.
Disclosure of Invention
The invention aims to solve the technical problem of providing a power grid distributed power supply bearing capacity assessment method aiming at the defects of the prior art.
In order to solve the technical problems, the invention adopts the following technical scheme:
a method for evaluating the load-bearing capacity of a distributed power supply of a power grid, comprising:
a power grid distributed power supply bearing capacity assessment method is characterized by comprising the following steps of: comprising the following steps:
constructing a bearing capacity assessment model;
simplifying and solving the bearing capacity assessment model;
collecting basic data of a power grid to be evaluated;
and inputting basic data of the power grid to be evaluated into the bearing capacity evaluation model, and calculating the evaluation model to obtain an evaluation result.
Further, the objective function of the load bearing capacity assessment model is that
Figure BDA0004032012180000011
Where maxC is the maximum admission capacity of the distributed power supply, N df S is the set of all distributed power access nodes in a certain partition i Is the access capacity of the ith distributed power node.
Further, constraint conditions of the bearing capacity evaluation model comprise a tide equation constraint, a line current carrying constraint, a short circuit current constraint, a voltage deviation constraint, a harmonic constraint and a distributed power supply operation constraint.
Further, the basic data of the power grid includes system data, equipment data, operation data and safety boundary data.
Further, the evaluation results were equally classified into four grades according to the percentile, respectively, green 85-100, yellow 70-85, orange 60-70, red < 60.
Further, convex relaxation processing is performed when the bearing capacity assessment model is simplified and solved.
Further, the line current-carrying constraint is |I b |≤I bmax Wherein I b Is the current flowing on branch b; i bmax The maximum value of the current that can be delivered for branch b.
Further, the short-circuit current is constrained to be I D,i ≤I Dmax Wherein I D,i Short circuit current for node i; i Dmax Is the maximum allowable value of the short-circuit current.
Further, the voltage deviation constraint is (1- ε) L )U N ≤U i ≤(1+ε H )U N Wherein U is N Is the nominal voltage of the line; epsilon H And epsilon L The lower and upper limits of the node voltage deviation, respectively, are specified by the power specification.
Further, the distributed power operation constraint is that
Figure BDA0004032012180000021
Wherein P is dg,i Active power injected for the ith distributed power node, +.>
Figure BDA0004032012180000022
Is the power factor of the ith distributed power node.
With the high-speed development of the distributed power supply in China, the influence of the distributed power supply on the power grid is extended from local to global and distribution networks to main networks, the power grid enterprise is urgently required to develop the measurement and calculation of the bearing capacity of the distributed power supply of the power grid in a full range, and guidance is provided for orderly access of the distributed power supply and collaborative planning of network sources.
The distributed photovoltaic power generation network-entry load capacity represents the maximum installed capacity of distributed photovoltaic power generation that the grid can carry. The method has the advantages that the network access bearing capacity of the distributed photovoltaic power generation is scientifically and reasonably evaluated, and the method is not only the responsibility requirement that a power grid enterprise guarantees safe, stable and good operation of the power grid and energy consumption experience of users, but also a basic constraint condition which is required to be acquired in subsequent distributed power generation market construction and distributed photovoltaic planning research.
In the prior art, in general, the quantitative evaluation of the network access bearing capacity of the distributed power supply refers to that under the existing grid structure, all devices in the same power supply area are evaluated on the premise of ensuring the safe and stable operation of the power grid and the full consumption of the distributed power supply so as to determine the evaluation grade of the network access bearing capacity of the distributed power supply; in the evaluation process, the calculation analysis is developed mainly aiming at factors such as thermal stability of power system equipment, node voltage deviation, short-circuit current of each node of the system, harmonic wave of each node of a power grid and the like, and the evaluation result does not relate to specific accessible distributed power supply capacity.
In practical application, the distributed power supply network access bearing capacity is evaluated more by adopting a 'post-verification' mode, and the evaluation scheme does not relate to power flow calculation, so that the characteristic that the active power and the reactive power of the power distribution network cannot be decoupled is ignored. Therefore, the method for evaluating the network access bearing capacity of the distributed power supply in the prior art has complex flow and rough evaluation result. In addition, the carrying capacity assessment method in the prior art does not relate to various constraint conditions in the aspect of power flow of the power system, so that the carrying capacity of the system cannot be described more accurately.
At present, the automation level of the power grid dispatching in China is higher, and a dispatching system accumulates a large amount of precious data including power grid model data, power grid operation data and the like. Therefore, the existing measurement data are fully utilized, situation awareness and assessment can be carried out on the power grid, and the method has high engineering practical value. Based on the power grid operation data, it is feasible to sense and evaluate the distributed power carrying capacity of the power grid.
Compared with the prior art, the invention has the following beneficial effects:
aiming at the problem of the quantitative evaluation of the load-carrying capacity of the distributed power supply of the power grid, a power grid distributed power supply load-carrying capacity evaluation model is established, and constraint conditions such as a tide equation constraint, a line current-carrying constraint, a short-circuit current constraint, a voltage deviation constraint, a harmonic constraint, a distributed power supply operation constraint and the like are determined; after carrying out convex relaxation treatment on the bearing capacity evaluation model, converting the original non-male model into a model easy to solve, and realizing efficient and quick solving of the model.
The invention aims at the maximum installation capacity of the distributed power supply access, considers the constraint conditions of multiple types of safe and stable operation, and obtains the optimal solution according to different optimization algorithms. The invention simplifies constraint conditions, reduces solving complexity, and overcomes the defects of large calculated amount and solving time of the traditional mathematical optimization method.
The invention can reasonably evaluate the carrying capacity of the distributed power supply access to the network, is not only the responsibility requirement of a power grid enterprise for guaranteeing the safe and stable operation of the power grid and good energy utilization experience of users, but also one of the necessary consideration of government department formulated policy for promoting the construction of the distributed power generation market, and has important theoretical research value and engineering practice significance. The method and the system can ensure the coordinated development of the distributed power supply and the power grid, and can evaluate the capacity margin of the distributed power supply accessible in the future by each node based on the stable operation boundary and the actual operation state of the power distribution network, thereby providing guidance for planning and construction of the distributed power supply and the power distribution network.
The method is used for evaluating the maximum bearing capacity of the distributed power supply connected to the power distribution network aiming at the risk brought to the power quality by a large number of grid connection of the distributed power supply, has guiding significance on planning of the distributed power supply, establishes a calculation model of the maximum bearing capacity of the distributed power supply connected to the power distribution network, and aims at the maximum grid connection capacity of the distributed power supply, wherein the constraint relates to the constraint of a tide equation, the constraint of line current carrying, the constraint of short-circuit current, the constraint of voltage deviation, the constraint of harmonic wave, the constraint of the operation of the distributed power supply and the like. An optimization model segmentation solving method based on constraint indexes relative to the capacity sensitivity of a distributed power supply is provided; according to the different quantity of constraint conditions, the method is divided into a single constraint solution method and a multi-constraint coordination method; the method is divided into a backward pushing method and a forward pushing method according to the initial output of the distributed power supply. The coordination method can process the calculation of the maximum bearing capacity of a plurality of different types of distributed power supplies under the condition of multiple constraints, and the calculation process is visual, stable and efficient.
The method for evaluating the distributed power supply bearing capacity of the power grid is based on system model data, operation data and the like, fully considers constraints such as stability, short-circuit current, voltage deviation and harmonic waves of the power distribution network, can finally obtain the numerical result of the distributed power supply bearing capacity of each level of bus of the power distribution network through measurement and calculation, can divide bearing capacity grades by colors, and can provide effective basis for decision making of government, power grid enterprises and investors.
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The present invention will be described in further detail with reference to the accompanying drawings.
Fig. 1: a flow chart of the present invention;
Detailed Description
For a better understanding of the present invention, the content of the present invention will be further clarified below with reference to the examples and the accompanying drawings, but the scope of the present invention is not limited to the following examples only. In the following description, numerous specific details are set forth in order to provide a more thorough understanding of the present invention. It will be apparent, however, to one skilled in the art that the invention may be practiced without one or more of these details.
Referring to fig. 1, the objective of the present embodiment is to provide a method for evaluating the load-bearing capacity of a distributed power grid. The evaluation method comprises the following steps:
s1, constructing a bearing capacity evaluation model.
In the method, the bearing capacity of the distributed power supply is represented by the maximum admission capacity of the power generation of the distributed power supply. The objective function is:
Figure BDA0004032012180000041
in the formula (1), maxC is the maximum admittance capacity of the distributed power supply, N dg S is the set of all distributed power access nodes in a certain partition i Is the access capacity of the ith distributed power node.
The constraint conditions of the objective function comprise a tide equation constraint, a line current carrying constraint, a short circuit current constraint, a voltage deviation constraint, a harmonic constraint and a distributed power supply operation constraint.
The constraint of the tide equation is as follows:
Figure BDA0004032012180000042
in the formula (2), P dg,i And Q dg,i Active power and reactive power injected into the ith distributed power node respectively; p (P) L,i And Q L,i Active power and reactive power of the load of the node i; g ij 、B ij 、δ ij Conductance, susceptance, and phase angle difference between node i and node j, respectively; n (N) n The method comprises the steps of collecting all nodes of a system; u (U) i Is the voltage magnitude at node i.
The line current-carrying constraint is:
|I b |≤I bmax (3)
in the formula (3), I b Is the current flowing on branch b; i bmax The maximum value of the current that can be delivered for branch b. During operation of the distribution network, the current of the branch is not higher than the upper limit, and when the branch is disconnected, the current flowing through the branch is 0.
The short circuit current constraint is:
I D,i ≤I Dmax (4)
in the formula (4), I D,i Short circuit current for node i; i Dmax Is the maximum allowable value of the short-circuit current.
After the distributed power source is connected to the power grid, if the system suddenly starts or the output of the system suddenly changes due to other reasons, the voltage of the power grid is affected. In addition, when the distributed power supply can raise the load node voltage of the power distribution network due to reverse power flow, the node voltage is easy to be out of limit. The voltage deviation constraint is set in this step as:
(1-ε L )U N ≤U i ≤(1+ε H )U N (5)
in formula (5), U N Is the nominal voltage of the line;ε H and zeta L The lower and upper limits of the node voltage deviation, respectively, are specified by the power specification.
Because the distributed power supply is a harmonic power supply, the harmonic power supply can generate harmonic conditions under the condition of being connected with a power grid, and harmonic pollution can be caused after the distributed power supply is connected. This step therefore sets the harmonic constraint as:
Figure BDA0004032012180000051
THD in formula (6) V And THD (total heat transfer) I The total harmonic distortion rate of voltage and the harmonic distortion rate of current are respectively; THD (total heat transfer) Vmax And THD (total heat transfer) Imax The maximum allowable values of voltage and current harmonic distortion rate are respectively; i PCC,h And I PCCmax,h The h-th harmonic current component (square root) injected into the common connection point and the maximum allowed value thereof are respectively obtained.
The distributed power supply operating constraints are:
Figure BDA0004032012180000053
in the formula (7), the amino acid sequence of the compound,
Figure BDA0004032012180000052
is the power factor of the ith distributed power node.
S2, simplifying and solving a bearing capacity evaluation model.
The step simplifies and solves the bearing capacity assessment model. The load-bearing capacity assessment model belongs to non-convex nonlinearity and needs linearization processing.
For nonlinear power flows, an unbalanced distribution network linear power flow model, such as a Distflow power flow model, can be used to complete linear conversion. For non-convex sources in the model, convex relaxation treatment is carried out by using a method such as a Michael envelope.
Through the simplification and relaxation, the original bearing capacity assessment model can be directly and quickly solved by using the existing commercial solver, such as a CPLEX solver.
And S3, collecting basic data of the power grid to be evaluated.
The carrying capacity of the distributed power supply connected to the power grid is evaluated according to basic data of the power distribution network to be evaluated, and the factors such as the geographic position of the area, the power grid topology, the running mode, the load type, the load level, the time scale, the built and recovered power supply and power grid project and the like are fully considered. The data requirements can be categorized as: system data, device data, operation data, security boundary data, class 4, specifically as follows:
the system data comprises a primary wiring diagram of the power grid to be evaluated, a power grid equivalent impedance diagram and a short-circuit capacity meter of each level of bus size mode;
the equipment data comprises capacity limit values of transformers at all levels, current limit values of lines at all levels, power installation and planning information in an area and power factor adjusting range of the distributed photovoltaic inverter;
the operation data comprises normal operation mode data of power supplies in a power grid to be evaluated and an area, and actual measurement values of harmonic current and inter-harmonic voltage content of each level of transformer historical load time sequence data, each level of line historical load time sequence data, each power supply historical output time sequence, each level of bus voltage historical time sequence and power quality monitoring points in an evaluation period;
safety margin data including bus voltage deviation limit, short circuit current limit, harmonic current allowed value, inter-harmonic voltage content limit.
And S4, inputting basic data of the power grid to be evaluated into the bearing capacity evaluation model, and calculating the evaluation model to obtain an evaluation result.
The load bearing capacity assessment model is used for calculating an assessment result, and the load bearing capacity of the power grid distributed power supply can be quantitatively analyzed and assessed through the assessment result.
Meanwhile, in the power specification, the distributed power carrying capacity of the power grid is divided into four types of green, yellow, orange and red in sequence from high to low, so that the evaluation result is also divided into four grades according to a percentage system for reference to the standard, wherein the grades are respectively green 85-100, yellow 70-85, orange 60-70 and red < 60.
Finally, it is noted that the above-mentioned embodiments are merely for illustrating the technical solution of the present invention, and that other modifications and equivalents thereof by those skilled in the art should be included in the scope of the claims of the present invention without departing from the spirit and scope of the technical solution of the present invention.

Claims (10)

1. A power grid distributed power supply bearing capacity assessment method is characterized by comprising the following steps of: comprising the following steps:
constructing a bearing capacity assessment model;
simplifying and solving the bearing capacity assessment model;
collecting basic data of a power grid to be evaluated;
and inputting basic data of the power grid to be evaluated into the bearing capacity evaluation model, and calculating the evaluation model to obtain an evaluation result.
2. The power grid distributed power load capacity assessment method according to claim 1, wherein: the objective function of the bearing capacity assessment model is that
Figure FDA0004032012170000011
Where maxC is the maximum admission capacity of the distributed power supply, N dg S is the set of all distributed power access nodes in a certain partition i Is the access capacity of the ith distributed power node.
3. The power grid distributed power load capacity assessment method according to claim 1, wherein: constraint conditions of the bearing capacity evaluation model comprise a tide equation constraint, a line current carrying constraint, a short circuit current constraint, a voltage deviation constraint, a harmonic constraint and a distributed power supply operation constraint.
4. The power grid distributed power load capacity assessment method according to claim 1, wherein: the basic data of the power grid comprises system data, equipment data, operation data and safety boundary data.
5. The power grid distributed power load capacity assessment method according to claim 1, wherein: the evaluation results were equally classified into four grades according to the percentile, respectively green 85-100, yellow 70-85, orange 60-70, red < 60.
6. The power grid distributed power load capacity assessment method according to claim 1, wherein: and simplifying and solving the bearing capacity evaluation model, and performing convex relaxation treatment.
7. A method of evaluating the load carrying capacity of a distributed power grid as set forth in claim 3, wherein: the current-carrying constraint of the line is I b |≤I bmax Wherein I b Is the current flowing on branch b; i bmax The maximum value of the current that can be delivered for branch b.
8. A method of evaluating the load carrying capacity of a distributed power grid as set forth in claim 3, wherein: the short-circuit current is constrained to be I D,i ≤I Dmax Wherein I D,i Short circuit current for node i; i Dmax Is the maximum allowable value of the short-circuit current.
9. A method of evaluating the load carrying capacity of a distributed power grid as set forth in claim 3, wherein: the voltage deviation constraint is (1-epsilon) L )U N ≤U i ≤(1+ε H )U N Wherein U is N Is the nominal voltage of the line; epsilon H And epsilon L The lower and upper limits of the node voltage deviation, respectively, are specified by the power specification.
10. A method of evaluating the load carrying capacity of a distributed power grid as set forth in claim 3, wherein: the operation constraint of the distributed power supply is more than or equal to 0 and less than or equal to P dg,i ≤P dg,i,max ，
Figure FDA0004032012170000012
Wherein P is dg,i Active power injected for the ith distributed power node, +.>
Figure FDA0004032012170000021
Is the power factor of the ith distributed power node. />
CN202211738633.3A 2022-12-30 2022-12-30 Power grid distributed power supply bearing capacity assessment method Pending CN116154849A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117394438A (en) * 2023-11-13 2024-01-12 南方电网能源发展研究院有限责任公司 Distributed photovoltaic admission capacity evaluation method considering adjustable potential of communication base station

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117394438A (en) * 2023-11-13 2024-01-12 南方电网能源发展研究院有限责任公司 Distributed photovoltaic admission capacity evaluation method considering adjustable potential of communication base station

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