CN-121984109-A - Method and device for optimizing matched resources of new energy large-base direct-current outgoing engineering

CN121984109ACN 121984109 ACN121984109 ACN 121984109ACN-121984109-A

Abstract

The invention provides a method and a device for optimizing matched resources of a new energy large-base direct current delivery project, which comprise the steps of constructing a power receiving price model under the dimension of the leveling degree electricity cost based on matched resource parameters of the new energy large-base direct current delivery project, determining constraint conditions, determining optimal matched resource parameters under the constraint conditions so as to enable function values of the power receiving price model determined based on the optimal matched resource parameters to be minimum, wherein the optimal matched resource parameters comprise optimal wind power installed capacity of wind power equipment, optimal photovoltaic installed capacity of photovoltaic equipment, optimal power receiving energy storage rated capacity of the power receiving energy storage equipment, optimal power receiving energy storage rated charge and discharge power of the power receiving energy storage equipment, optimal power transmitting maximum output of the power transmitting energy storage equipment, optimal power transmitting energy storage rated charge and discharge power of the power transmitting energy storage equipment and optimal power transmitting power maximum output of thermal power equipment, and configuring the new energy large-base direct current delivery project based on the optimal matched resource parameters so as to realize effective consideration of power receiving and power receiving of terminal users.

Inventors

CUI WEI
LI PENGHAN
LIU SHIYU
Zhao Guankun
Tai Keqiang
HU SHUAI
XIAO GUANGYU
WEI WEI
WANG CONG
LIANG RUNZE
MA XIAOWEI
LIU RUIFENG
WANG YING
WANG MENG
HUO CHAO

Assignees

国家电网有限公司西北分部
清华大学

Dates

Publication Date: 20260505
Application Date: 20251217

Claims (10)

1. The method is applied to a new energy large-base direct current delivery project, and the new energy large-base direct current delivery project comprises wind power equipment, photovoltaic equipment, receiving end energy storage equipment, sending end energy storage equipment and thermal power equipment, and comprises the following steps: constructing a receiving end electricity price model under the leveling degree electricity cost dimension based on matched resource parameters of a new energy large-base direct current outgoing project, wherein the matched resource parameters comprise wind power installed capacity of wind power equipment, photovoltaic installed capacity of photovoltaic equipment, receiving end energy storage rated capacity of receiving end energy storage equipment, receiving end energy storage rated charge and discharge power of the receiving end energy storage equipment, sending end energy storage rated capacity of sending end energy storage equipment, sending end energy storage rated charge and discharge power of sending end energy storage equipment and thermal power maximum output of thermal power equipment; Determining constraint conditions, wherein the constraint conditions are used for representing physical constraints and/or engineering boundary conditions of the matched resource parameters; Under the constraint condition, determining optimal matched resource parameters so as to minimize a function value of a receiving-end electricity price model determined based on the optimal matched resource parameters, wherein the optimal matched resource parameters comprise an optimal wind power installed capacity of the wind power equipment, an optimal photovoltaic installed capacity of the photovoltaic equipment, an optimal receiving-end energy storage rated capacity of the receiving-end energy storage equipment, an optimal receiving-end energy storage rated charge and discharge power of the receiving-end energy storage equipment, an optimal sending-end energy storage rated capacity of the sending-end energy storage equipment, an optimal sending-end energy storage rated charge and discharge power of the sending-end energy storage equipment and an optimal thermal power maximum output of the thermal power equipment; And configuring the new energy large-base direct current output project based on the optimal matched resource parameters.
2. The method for optimizing the matched resources of the new energy large-base direct current transmission project according to claim 1, wherein the method for constructing the receiving terminal electricity price model under the leveling degree electricity cost dimension based on the matched resource parameters of the new energy large-base direct current transmission project specifically comprises the following steps: Determining initial investment and operation maintenance cost of the new energy large-base direct current delivery project based on the wind power installed capacity, the photovoltaic installed capacity, the receiving end energy storage rated capacity, the transmitting end energy storage rated capacity and the thermal power maximum output; Based on the wind power installation capacity, the photovoltaic installation capacity, the receiving end energy storage rated capacity, the sending end energy storage rated capacity and the thermal power maximum output, and combining a wind power maximum output curve, a photovoltaic maximum output curve and a load curve, planning to obtain thermal power running power, abandoned load capacity and supporting service power; determining the operation cost of the new energy large-base direct current outgoing project based on the thermal power operation power, the abandoned load quantity and the support service power; and constructing a receiving terminal electricity price model under the leveling degree electricity cost dimension based on the initial investment, the operation and maintenance cost and the operation cost.
3. The method for optimizing the matched resources of the new energy large-base direct current outgoing project according to claim 1, wherein the constraint condition is determined by adopting the following mode: Determining a first physical constraint and/or a first engineering boundary condition of a direct current transmission channel of a new energy large-base direct current outgoing engineering; determining a second physical constraint and/or a second engineering boundary condition of the wind power equipment; determining a third physical constraint and/or a third engineering boundary condition of the photovoltaic device; determining a fourth physical constraint and/or a fourth engineering boundary condition of the receiving end energy storage device; Determining a fifth physical constraint and/or a fifth engineering boundary condition of the transmitting-end energy storage device; determining a sixth physical constraint and/or a sixth engineering boundary condition of the thermal power plant; the constraint condition is constructed based on a first physical constraint and/or a first engineering boundary condition, a second physical constraint and/or a second engineering boundary condition, a third physical constraint and/or a third engineering boundary condition, a fourth physical constraint and/or a fourth engineering boundary condition, a fifth physical constraint and/or a fifth engineering boundary condition, and a sixth physical constraint and/or a sixth engineering boundary condition.
4. The method for optimizing the matched resources of the new energy large-base direct current delivery project according to any one of claims 1 to 3, wherein the method is characterized by constructing a receiving terminal electricity price model under the electrical cost dimension of the leveling degree based on the matched resource parameters of the new energy large-base direct current delivery project, and specifically comprises the following steps: Determining a plurality of preset scenes and the occurrence probability of the preset scenes corresponding to the preset scenes; constructing a receiving terminal electricity price model under each prediction scene based on the wind power installation capacity, the photovoltaic installation capacity, the receiving terminal energy storage rated charge and discharge power, the sending terminal energy storage rated capacity, the sending terminal energy storage rated charge and discharge power and the thermal power maximum output respectively; and constructing the receiving terminal electricity price model under the leveling degree electricity cost dimension based on the receiving terminal electricity price model under each prediction scene and each preset scene occurrence probability.
5. The method for optimizing the matched resources of the new energy large-base direct current outgoing project according to claim 4, wherein the determining the optimal matched resource parameters under the constraint condition so as to minimize the function value of the receiving end electricity price model determined based on the optimal matched resource parameters specifically comprises: Under the constraint condition, determining an optimal wind power installation capacity, an optimal photovoltaic installation capacity, an optimal receiving end energy storage rated charge-discharge power, an optimal sending end energy storage rated capacity, an optimal sending end energy storage rated charge-discharge power and an optimal thermal power maximum output based on a progressive hedging algorithm, so that the function value of a receiving end electricity price model determined based on the optimal wind power installation capacity, the optimal photovoltaic installation capacity, the optimal receiving end energy storage rated charge-discharge power, the optimal sending end energy storage rated charge-discharge power and the optimal thermal power maximum output is minimum.
6. The method for optimizing resources matched with a new energy large-base direct current outgoing project according to claim 5, wherein under the constraint condition, determining an optimal wind power installed capacity, an optimal photovoltaic installed capacity, an optimal receiving end energy storage rated charge-discharge power, an optimal sending end energy storage rated capacity, an optimal sending end energy storage rated charge-discharge power and an optimal thermal power maximum output based on a progressive opposite-impact algorithm so as to minimize a function value of a receiving end electricity price model determined based on the optimal wind power installed capacity, the optimal photovoltaic installed capacity, the optimal receiving end energy storage rated charge-discharge power, the optimal sending end energy storage rated capacity, the optimal sending end energy storage rated charge-discharge power and the optimal thermal power maximum output specifically comprises: adding a non-consistency penalty term for the receiving terminal electricity price model to obtain an augmented Lagrangian function matched with the receiving terminal electricity price model; under the constraint condition, based on a progressive hedging algorithm, initializing a decision variable of a preset scene of a previous round, a Lagrange multiplier of the preset scene of the previous round and a Lagrange penalty coefficient of the preset scene of the previous round; obtaining a next round preset scene decision variable by minimizing the augmented Lagrangian function based on a previous round preset scene decision variable, a previous round preset scene Lagrangian multiplier and a previous round preset scene Lagrangian penalty coefficient; And taking the next round preset scene decision variable as a previous round preset scene decision variable under the next round, taking a next round preset scene Lagrangian multiplier as a previous round preset scene Lagrangian multiplier under the next round, taking a next round preset scene Lagrangian penalty coefficient as a previous round preset scene Lagrangian penalty coefficient under the next round, iteratively repeating the preset round to obtain a final preset scene decision variable, and determining the optimal wind power installation capacity, the optimal photovoltaic installation capacity, the optimal receiving end energy storage rated charge and discharge power, the optimal sending end energy storage rated charge and discharge power and the optimal thermal power maximum output based on the final preset scene decision variable.
7. The method for optimizing the matched resources of the new energy large-base direct current outgoing project according to claim 6, wherein the lagrangian multiplier of the next round of preset scenes is determined by the following method: taking the previous round preset scene Lagrangian multiplier as the next round preset scene Lagrangian multiplier under the condition that the previous round preset scene Lagrangian multiplier exceeds a preset threshold; and under the condition that the previous round preset scene Lagrange multiplier does not exceed the preset threshold value, determining the next round preset scene Lagrange multiplier based on the previous round preset scene Lagrange multiplier and the previous round preset scene Lagrange penalty coefficient.
8. The method for optimizing the matched resources of the new energy large-base direct current outgoing project according to claim 6 or 7, wherein the lagrangian penalty coefficient of the preset scene of the next round is determined by adopting the following method: And determining the Lagrange penalty coefficient of the preset scene of the next round based on the product of the Lagrange penalty coefficient of the preset scene of the previous round and a first coefficient, wherein the first coefficient is larger than 1.
9. The utility model provides a supporting resource optimization device of new forms of energy big base direct current off-line engineering, its characterized in that, the device is applied to new forms of energy big base direct current off-line engineering, new forms of energy big base direct current off-line engineering includes wind power equipment, photovoltaic equipment, receiving end energy storage equipment, send end energy storage equipment to and thermal power equipment, the device includes: The system comprises a construction module, a power supply module and a power supply module, wherein the construction module is used for constructing a receiving end electricity price model under the leveling degree electricity cost dimension based on matched resource parameters of a new energy large-base direct current outgoing project, wherein the matched resource parameters comprise the wind power installation capacity of wind power equipment, the photovoltaic installation capacity of photovoltaic equipment, the receiving end energy storage rated capacity of receiving end energy storage equipment, the receiving end energy storage rated charge and discharge power of the receiving end energy storage equipment, the transmitting end energy storage rated capacity of transmitting end energy storage equipment, the transmitting end energy storage rated charge and discharge power of transmitting end energy storage equipment and the maximum thermal power output of thermal power equipment; the determining module is used for determining constraint conditions, wherein the constraint conditions are used for representing physical constraints and/or engineering boundary conditions of the matched resource parameters; The processing module is used for determining optimal matched resource parameters under the constraint condition so as to enable the function value of the receiving end electricity price model determined based on the optimal matched resource parameters to be minimum, wherein the optimal matched resource parameters comprise the optimal wind installation capacity of the wind power equipment, the optimal photovoltaic installation capacity of the photovoltaic equipment, the optimal receiving end energy storage rated capacity of the receiving end energy storage equipment, the optimal receiving end energy storage rated charge and discharge power of the receiving end energy storage equipment, the optimal sending end energy storage rated capacity of the sending end energy storage equipment, the optimal sending end energy storage rated charge and discharge power of the sending end energy storage equipment and the optimal thermal power maximum output of the thermal power equipment; the configuration module is used for configuring the new energy large-base direct current outgoing engineering based on the optimal matched resource parameters.
10. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method for optimizing the matched resources of the new energy large base direct current outgoing project according to any one of claims 1 to 8 when executing the computer program.

Description

Method and device for optimizing matched resources of new energy large-base direct-current outgoing engineering Technical Field The invention relates to the technical field of power system optimal configuration, in particular to a method and a device for optimizing matched resources of a new energy large-base direct current outgoing project. Background Along with the transformation and upgrading of the energy structure and the large-scale access of renewable energy sources in China, the trans-regional direct current delivery engineering plays an increasingly important role in guaranteeing the safe and stable operation of the power system and improving the renewable energy source digestion capability. The direct current outgoing engineering of the new energy large base effectively relieves the mismatch contradiction between energy resources and electricity loads in the geographic space by conveying clean energy sources such as wind power, photovoltaics and the like in the western resource enrichment areas to the eastern load center. The related technology can know that the optimal configuration method of the new energy large-base direct current outgoing engineering matched power supply and the energy storage aims at minimizing the total cost of the system or maximizing the profit, and focuses on the economy of the power generation side or the system operator. The conventional method cannot fully embody the actual electricity burden of the terminal user on the optimization target, and is difficult to comprehensively reflect the allocation of costs of various links such as power generation, power transmission, energy storage and the like on the user side, so that the power price of the receiving terminal cannot be effectively optimized. Disclosure of Invention The invention provides a method and a device for optimizing matched resources of a new energy large-base direct current delivery project, which realize that the receiving terminal electricity price of a terminal user is effectively considered in the process of configuring the matched resources of the new energy large-base direct current delivery project. The invention provides a method for optimizing matched resources of a new energy large-base direct current delivery project, which is applied to the new energy large-base direct current delivery project, wherein the new energy large-base direct current delivery project comprises wind power equipment, photovoltaic equipment, receiving end energy storage equipment, and power equipment, the method comprises the steps of constructing a receiving end electricity price model under a flat electrical cost dimension based on matched resource parameters of the new energy large-base direct current delivery project, wherein the matched resource parameters comprise wind power installation capacity of the wind power equipment, photovoltaic installation capacity of the photovoltaic equipment, receiving end energy storage rated capacity of the receiving end energy storage equipment, receiving end energy storage rated power of the receiving end energy storage equipment and power of the thermal power equipment, and maximum power of the power equipment, determining constraint conditions, wherein the constraint conditions are used for representing physical constraint of the matched resource parameters and the matched resource parameters, the constraint conditions are used for determining the receiving end electricity price model or the optimal energy storage capacity at the receiving end, the receiving end energy storage rated capacity of the receiving end energy storage equipment, the receiving end energy storage rated capacity of the receiving end energy storage of the receiving end and the receiving end energy storage equipment, and the thermal power storage power of the receiving end energy storage rated capacity of the receiving end energy storage equipment, and the thermal power of the power storage equipment of the supporting end power equipment, and the supporting end energy storage equipment under the condition is constrained by the receiving end energy storage capacity of the receiving end and power storage capacity of the power storage equipment, and the power. And configuring the new energy large-base direct current output project based on the optimal matched resource parameters. According to the method for optimizing the matched resources of the new energy large-base direct current outgoing project, The method comprises the steps of constructing a receiving end electricity price model under the dimension of the electrical cost of the leveling degree based on matched resource parameters of a new energy large-base direct current delivery project, and specifically comprises the steps of determining initial investment and operation maintenance cost of the new energy large-base direct current delivery project based on the wind installed capacity, the photovoltaic installed capacity, the receiving end energy storage