CN116090652A - Configuration method for flexible resource planning of current-level power grid - Google Patents

Configuration method for flexible resource planning of current-level power grid Download PDF

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CN116090652A
CN116090652A CN202310141389.0A CN202310141389A CN116090652A CN 116090652 A CN116090652 A CN 116090652A CN 202310141389 A CN202310141389 A CN 202310141389A CN 116090652 A CN116090652 A CN 116090652A
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node
flexible
resource
power
power grid
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呼斯乐
郭向伟
李晓鹏
蔡文斌
王渊
杨家强
赵禹灿
曹林锋
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Inner Mongolia Power Group Co ltd
Economic and Technological Research Institute of State Grid Inner Mongolia Electric Power Co Ltd
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Economic and Technological Research Institute of State Grid Inner Mongolia 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06312—Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q50/06—Energy or water supply
    • 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
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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
    • H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20—The dispersed energy generation being of renewable origin
    • H02J2300/22—The renewable source being solar energy
    • H02J2300/24—The renewable source being solar energy of photovoltaic origin
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20—The dispersed energy generation being of renewable origin
    • H02J2300/28—The renewable source being wind energy
    • 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

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Abstract

Aiming at the problem of insufficient flexibility of a novel power system, the invention provides a configuration method for flexible resource planning of a current-level power grid, which is used for guiding site selection and volume setting of flexible resource configuration of the novel power system. And solving the mathematical model by taking the minimum sum of newly built flexible resource cost of each node as an objective function and taking a flexible adjustment coefficient larger than 1 and the upper limit of flexible resource capacity as constraint conditions, thereby obtaining the flexible resource capacity required to be configured by each node. According to the invention, the power grids of all levels are independently planned, so that not only is the workload reduced, but also the tasks required to be born by the power grids of all levels in the planning process are defined.

Description

Configuration method for flexible resource planning of current-level power grid
Technical Field
The invention relates to the technical field of power grid planning in the field of new energy, in particular to a configuration method for flexible resource planning of a current-level power grid.
Background
In order to solve the increasingly serious energy crisis and environmental problems, the government of China puts forward a double-carbon target, and the duty ratio of renewable energy generation is gradually increased, so that the renewable energy generation becomes a main power generation resource in an electric power system in the future. However, because the output of some renewable energy sources such as wind power, photovoltaic and the like fluctuates with the change of weather, the power system faces the challenge of unbalanced power production and consumption. In contrast, the International energy agency (International EnergyAgency, IEA) issued a report on topics in 2008, proposed the concept of "flexibility of power system", and emphasized that the capability of the system to cope with power fluctuation was increased by flexibility [1] 。
The importance of flexibility is now well recognized, but this concept has not been well defined. IEA considers that flexibility refers to the ability of an electrical power system to maintain reliability by adjusting power generation or load when faced with large disturbances, i.e., the ability to respond quickly to both predictable and unpredictable events [2] . The mid-independent system operator (Midcontinent Independent System Operator, MISO) defines flexibility as the ability to meet the potential hill climbing/landslide demand of the system in real-time operation by scheduling additional flexible resources [3] . North American electric reliability Committee (North American Electric Reliability Corporation, NERC) will set the flexibilityDefined as the ability of a power system resource to meet a change in the net load, where net load refers to the total load minus the variable power source (wind, photovoltaic, etc.) output [4] . Definition of flexibility by the academy [5-8] . Although slightly different, but substantially identical, i.e. the ability of the power system to respond to power changes.
Disclosure of Invention
The invention aims to solve the problem of insufficient flexibility of a novel power system, and provides a configuration method for flexible resource planning of a current-level power grid, which is used for guiding the site selection and the constant volume of flexible resource configuration of the novel power system by taking a flexible adjustment coefficient as an evaluation index.
The aim of the invention is realized by the following technical scheme: a configuration method for the flexible resource planning of a current-level power grid comprises the following steps: and flexible adjustment coefficients are used as the basis, and flexible resources are increased or reduced at each node, so that the flexibility of the current-stage power grid is improved.
Further, the method specifically comprises the following steps:
step one: based on flexible adjustment coefficients, establishing a mathematical model of flexible planning in consideration of economic cost;
step two: solving a mathematical model to obtain the flexible resource capacity required to be configured by each node;
step three: and adding or reducing flexible resources at each node according to the solving result.
Further, the flexible adjustment coefficient is the ratio of the adjustment capability of the node or system to the power fluctuation amplitude.
Further, the mathematical model is:
Figure BDA0004087592070000021
wherein:
Figure BDA0004087592070000022
up-regulated resource capacity newly created by node b, < >>
Figure BDA0004087592070000023
Is the down-regulated resource capacity newly created by node b,/->
Figure BDA0004087592070000024
Is the construction cost of unit up-regulation resource capacity, < >>
Figure BDA0004087592070000025
Is the construction cost of unit down-regulating resource capacity; η (eta) U Is a flexible up-regulation factor,/->
Figure BDA0004087592070000026
Is the amplitude of the fluctuation in power of regular node b, < >>
Figure BDA0004087592070000027
Is the fluctuation amplitude of the generalized node C on the power, B is the set of conventional nodes, and C is the set of generalized nodes; η (eta) D Is a flexible down-regulation factor,/->
Figure BDA0004087592070000028
Is the amplitude of the fluctuation at the power of the regular node c, < >>
Figure BDA0004087592070000029
Is the fluctuation amplitude of the generalized node c under power; />
Figure BDA00040875920700000210
Up-regulated resource maximum capacity allowed by node b, +.>
Figure BDA00040875920700000211
Is the maximum capacity of the down-regulated resource allowed to be expanded by node b.
Further, the objective function of the mathematical model should minimize the sum of the cost of newly built flexible resources of each conventional node, namely, set the objective function as:
Figure BDA00040875920700000212
wherein:
Figure BDA00040875920700000213
up-regulated resource capacity newly created by node b, < >>
Figure BDA00040875920700000214
The construction cost of unit up-regulation resource capacity; />
Figure BDA00040875920700000215
Is the down-regulated resource capacity newly created by node b,/->
Figure BDA00040875920700000216
Is the construction cost of unit down-regulating resource capacity.
Further, the constraint conditions of the mathematical model mainly include the following aspects.
1) Capacity constraints are adjusted. The flexible resource of the current level power grid is optimally configured, firstly, the current level power grid is ensured to be a flexible node in the upper level power grid, namely, the flexible adjustment coefficient is more than 1, namely:
Figure BDA00040875920700000217
wherein: η (eta) U Is a flexible up-regulation coefficient, eta D Is a flexible down-scaling factor.
2) Flexible resource capacity constraints. The flexible resources allowed for extension by each node are limited, namely:
Figure BDA00040875920700000218
wherein:
Figure BDA00040875920700000219
up-regulated resource maximum capacity allowed by node b, +.>
Figure BDA00040875920700000220
Is the maximum capacity of the down-regulated resource allowed to be expanded by node b.
Further, the flexible adjustment coefficient in the constraint condition can be obtained by the following method: according to the theory of the electric network, the lower-level electric network can be equivalent to a generalized node. From the perspective of flexibility planning, any power grid should be a "flexibility node" of an upper power grid, and a lower power grid also needs to have a flexible adjustment coefficient greater than or equal to 1 when planning. Therefore, when the flexible resource of the current level power grid is configured, in order to ensure the flexibility of the current level power grid, the flexible adjustment coefficient eta of the current level power grid can be set to be equal to 1 by the flexible adjustment coefficient of the generalized node U And eta D The method can be obtained by the following formula:
Figure BDA0004087592070000031
wherein:
Figure BDA0004087592070000032
is the amplitude of the fluctuation in power of regular node b, < >>
Figure BDA0004087592070000033
Is the amplitude of the fluctuation at the power of the regular node c, < >>
Figure BDA0004087592070000034
Is the amplitude of the fluctuation in power of the generalized node c, < >>
Figure BDA0004087592070000035
Is the amplitude of the fluctuation at the power of the generalized node c.
The beneficial effects of the invention are as follows: 1. the method provides a feasible scheme for the problem of flexible resource optimal configuration in power grid planning; 2. the lower power grid is equivalent to a generalized node, so that the workload of power planning is reduced; 3. and the power grids at all levels are independently planned, and the tasks required to be born in the planning process of the power grids at all levels are defined.
Drawings
FIG. 1 is a circuit diagram of an IEEE 30 node modelAnda topology;
fig. 2 is a topology of a "flexible 10-node model".
Detailed Description
The invention takes the minimum sum of newly built flexible resource cost of each node as an objective function, takes flexible adjustment coefficients larger than 1 and the upper limit of flexible resource capacity as constraint conditions, and solves the mathematical model to obtain the flexible resource capacity required to be configured by each node.
The present specification improves the IEEE 30 node model as shown in fig. 1 of the accompanying drawings, resulting in a "flexible tuning 10 node model" as shown in fig. 2 of the accompanying drawings, and a detailed embodiment of the present invention will be described below in connection with the model.
The system data of the modified model are shown in table 1. The differences between the improved model and the classical model mainly comprise three aspects: (1) The IEEE 30 node model has two voltage levels, namely 132kV and 33kV, wherein the improved model regards the 132kV part of the model as a current-level power grid, and the 33kV part of the model as a lower-level power grid; (2) As shown in table 1 (a), the power supply on the bus of the node 8 has reached the maximum output during normal operation, so the difference (5 MW) between the output and the load at the node 8 is equivalent to the power fixedly transmitted from the current level power grid to the upper level power grid; (3) The improved model has certain fluctuation of power supply and load, and has certain flexible adjustment capability, and the adjustment coefficient and fluctuation amplitude of each node are shown in table 1 (c). In the table 1 (c), the nodes 3 and 7 have no bus and no power supply, so the up-regulation coefficient is 0; 4. the No. 6 and 28 nodes are high-voltage side buses of the transformer substation, and no power supply and no load exist, so that the net load is 0, and the up-regulation coefficient and the down-regulation coefficient are also 0.
Table 1 Flexible adjustment of 10 node model System data (a) node data
Figure BDA0004087592070000041
(b) Branch data (per unit value, power reference value S) B ＝100MVA)
Figure BDA0004087592070000042
(c) Adjusting coefficient and fluctuation amplitude (time scale t=5min)
Figure BDA0004087592070000043
/>
Figure BDA0004087592070000051
And then determining the nodes participating in planning according to the actual conditions. The node numbers of this chapter are as shown in fig. 2 and table 1 (a). The nodes 3, 7 are bus-free and are not within the planning considerations. Nodes 4, 6 and 28 are high-voltage side buses of the transformer substation and do not participate in flexible adjustment. The economic cost and extension scale of each node configuration flexibility resource are shown in table 2.
TABLE 2 economic cost and extension Scale for configuring Flexible resources for nodes
Figure BDA0004087592070000052
Substituting the data in Table 2 into (1) (objective function unit: ten thousand yuan; capacity unit: MW):
Figure BDA0004087592070000053
and finally solving the formula (6) based on the MATLAB software platform to obtain the flexible resource planning scheme of each node as shown in the table 4.
Table 3 Flexible resource planning scheme for nodes
Figure BDA0004087592070000061
Comparing the data in Table 3 and Table 1 (c) shows that the current-stage power grid on-line adjustment coefficient is smaller than 1 before planning, and the situation of insufficient flexibility exists; and after the power grid is expanded according to the planning scheme, the upper and lower adjustment coefficients of the power grid are larger than 1, so that the flexibility requirement is met.
It is apparent that the above examples are given by way of illustration only and are not limiting of the embodiments. Other variations or modifications of the above teachings will be apparent to those of ordinary skill in the art. It is not necessary or exhaustive of all embodiments. And obvious variations or modifications thereof are contemplated as falling within the scope of the present invention.

Claims (3)

1. The configuration method for the flexible resource planning of the power grid is characterized by comprising the following steps of:
step one: based on flexible adjustment coefficients, establishing a mathematical model of flexible planning in consideration of economic cost;
step two: solving a mathematical model to obtain the flexible resource capacity required to be configured by each node;
step three: and adding or reducing flexible resources at each node according to the solving result.
2. A method of configuring a flexible resource plan for a current level power grid as claimed in claim 1, wherein the flexible adjustment factor is a ratio of adjustment capacity of a node or system to power fluctuation amplitude.
3. The configuration method for flexible resource planning of a current level power grid according to claim 1, wherein the mathematical model is:
Figure FDA0004087592060000011
wherein:
Figure FDA0004087592060000012
up-regulated resource capacity newly created by node b, < >>
Figure FDA0004087592060000013
Is the down-regulated resource capacity newly created by node b,/->
Figure FDA0004087592060000014
Is the construction cost of unit up-regulation resource capacity, < >>
Figure FDA0004087592060000015
Is the construction cost of unit down-regulating resource capacity; η (eta) U Is a flexible up-regulation factor,/->
Figure FDA0004087592060000016
Is the amplitude of the fluctuation in power of regular node b, < >>
Figure FDA0004087592060000017
Is the fluctuation amplitude of the generalized node C on the power, B is the set of conventional nodes, and C is the set of generalized nodes; η (eta) D Is a flexible down-regulation factor,/->
Figure FDA0004087592060000018
Is the amplitude of the fluctuation at the power of the regular node c, < >>
Figure FDA0004087592060000019
Is the fluctuation amplitude of the generalized node c under power; />
Figure FDA00040875920600000110
Up-regulated resource maximum capacity allowed by node b, +.>
Figure FDA00040875920600000111
Is the maximum capacity of the down-regulated resource allowed to be expanded by node b. />
CN202310141389.0A 2023-02-21 2023-02-21 Configuration method for flexible resource planning of current-level power grid Pending CN116090652A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117439090A (en) * 2023-12-19 2024-01-23 浙江大学 Flexible resource allocation or scheduling method taking flexible adjustment coefficient as index

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117439090A (en) * 2023-12-19 2024-01-23 浙江大学 Flexible resource allocation or scheduling method taking flexible adjustment coefficient as index
CN117439090B (en) * 2023-12-19 2024-04-02 浙江大学 Flexible resource allocation or scheduling method taking flexible adjustment coefficient as index

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