CN-122001020-A - Method and device for acquiring daily scheduling power plan through main and auxiliary micro cooperative optimization

CN122001020ACN 122001020 ACN122001020 ACN 122001020ACN-122001020-A

Abstract

The invention provides a method and a device for acquiring a daily scheduling power plan through main and micro cooperative optimization, and relates to the technical field of power grid optimization. The method comprises the steps of calculating to obtain coupling variables of each iteration, verifying the coupling variables obtained by each calculation, updating multipliers and coupling variables used by iterative calculation by an updating mechanism if the convergence condition is not met, periodically executing a coupling variable calculation step by using the updated multipliers and coupling variables until the convergence condition is met, determining a main intra-day cooperative optimization result at the moment as a micro-grid intra-day scheduling power value, determining second model input data according to the micro-grid intra-day scheduling power value, substituting the second model input data into a second objective function determined based on the micro-grid scheduling model, and calculating to obtain a main intra-day scheduling power plan of the main intra-day cooperative optimization. The method and the device provided by the embodiment of the invention can ensure the safe and stable operation of the power distribution network.

Inventors

YI SHUXIAN
LI YUNHONG
LI WEIYU
LIANG WEICHEN
ZHAO LIPING
YANG PENGWEI
YIN SAINING
LI GUOWU
MA XINCHENG
XU JING
WANG ZEZHONG
LIU SHEN
ZONG JIN
LI HUI

Assignees

国网冀北电力有限公司电力科学研究院
国家电网有限公司

Dates

Publication Date: 20260508
Application Date: 20260128

Claims (10)

1. The method for acquiring the daily scheduling power plan of the main and auxiliary micro cooperative optimization is characterized by comprising the following steps of: Determining first model input data, substituting the first model input data into a first objective function determined based on a main distribution network intra-day optimization scheduling model after a penalty function is reconstructed, and calculating to obtain a coupling variable of each iteration; verifying the coupling variable obtained by each calculation based on the external loop convergence condition used by the ATC algorithm optimization of TDQA, updating the multiplier and the coupling variable used by iterative calculation based on a multiplier and coupling variable self-adaptive updating mechanism if the convergence condition is not met, and periodically executing the coupling variable calculation step by using the updated multiplier and coupling variable until the convergence condition is met, and determining the main configuration intra-day collaborative optimization result at the moment as a micro-grid intra-day scheduling power value; And determining second model input data according to the intra-day scheduling power value of the micro-grid, substituting the second model input data into a second objective function determined based on the micro-grid scheduling model, and calculating to obtain the intra-day scheduling power plan of the main-auxiliary micro-cooperative optimization.
2. The method for acquiring the intra-day scheduling power plan for the major-minor co-optimization according to claim 1, wherein the updating of the multiplier and the coupling variable used for iterative computation based on the multiplier and coupling variable adaptive updating mechanism comprises: Determining an iterative calculation stage according to the pseudo-convergence speed information of two adjacent times, wherein the pseudo-convergence speed information is obtained by calculating the last consistency constraint and the previous consistency constraint of the power distribution network in the same period during intra-day collaborative optimization; If the iterative computation phase is determined to be a first phase, determining that the first phase is a fast convergence phase or a slow convergence phase according to the pseudo convergence speed information of two adjacent times; And if the convergence stage is determined to be the rapid convergence stage, adjusting the first order multiplier updating step length of the penalty function according to a first preset constant, updating a first algorithm coefficient by using the adjusted first order multiplier updating step length of the penalty function and bilateral asynchronous information, and determining the coupling variable updating step length as a first preset value.
3. The method for acquiring the intra-day scheduling power plan for the major-minor co-optimization according to claim 2, wherein the method for acquiring the intra-day scheduling power plan for the major-minor co-optimization further comprises: If the convergence stage is determined to be the slow convergence stage, keeping the current penalty function primary term multiplier update step length unchanged, updating the first algorithm coefficient by using the current penalty function primary term multiplier update step length and the bilateral asynchronous information, and determining the coupling variable update step length to be a first preset value.
4. The method for acquiring the intra-day schedule power plan for the major-minor co-optimization according to claim 3, wherein the method for acquiring the intra-day schedule power plan for the major-minor co-optimization further comprises: and updating the second algorithm coefficient according to the updated first algorithm coefficient and the last consistency constraint.
5. The method for acquiring the intra-day scheduling power plan for the major-minor co-optimization according to claim 2, wherein the method for acquiring the intra-day scheduling power plan for the major-minor co-optimization further comprises: If the iterative computation stage is determined to be a second stage, adjusting the multiplier update step length of the penalty function primary term according to a second preset constant, updating a first algorithm coefficient by using the adjusted multiplier update step length of the penalty function primary term and bilateral asynchronous information, and keeping a second algorithm coefficient unchanged, wherein the second preset constant is smaller than the first preset constant; If the last pseudo convergence rate information is less than or equal to 0, determining that the coupling variable updating step length is the first preset value; If the last pseudo convergence rate information is greater than 0, determining that the coupling variable updating step length is a second preset value, wherein the second preset value is smaller than the first preset value.
6. The method for acquiring the intra-day schedule power plan for the major-minor co-optimization according to claim 5, wherein the method for acquiring the intra-day schedule power plan for the major-minor co-optimization further comprises: If the iterative calculation stage is determined to be a third stage, keeping the multiplier update step length of the penalty function once term and the second algorithm coefficient unchanged, determining the coupling variable update step length to be the second preset value, and updating the first algorithm coefficient by using the current penalty function once term multiplier update step length and the bilateral asynchronous information.
7. An intra-day scheduling power plan acquisition device for major-minor cooperative optimization, comprising: the first determining unit is used for determining first model input data, substituting the first model input data into a first objective function determined based on the main distribution network intra-day optimization scheduling model after the penalty function is reconstructed, and calculating to obtain a coupling variable of each iteration; The second determining unit is used for verifying the coupling variable obtained by each calculation based on the external circulation convergence condition used by the ATC algorithm optimization of TDQA, updating the multiplier and the coupling variable used by iterative calculation based on a multiplier and coupling variable self-adaptive updating mechanism if the convergence condition is determined not to be met, and periodically executing the coupling variable calculating step by using the updated multiplier and coupling variable until the convergence condition is met, and determining the main configuration intra-day collaborative optimization result at the moment as a micro-grid intra-day scheduling power value; And the acquisition unit is used for determining second model input data according to the intra-day scheduling power value of the micro-grid, substituting the second model input data into a second objective function determined based on the micro-grid scheduling model, and calculating to obtain the intra-day scheduling power plan with main and auxiliary micro cooperative optimization.
8. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method of any of claims 1 to 6 when executing the computer program.
9. A computer readable storage medium, characterized in that the computer readable storage medium stores a computer program which, when executed by a processor, implements the method of any of claims 1 to 6.
10. A computer program product, characterized in that the computer program product comprises a computer program which, when executed by a processor, implements the method of any of claims 1 to 6.

Description

Method and device for acquiring daily scheduling power plan through main and auxiliary micro cooperative optimization Technical Field The invention relates to the technical field of power grid optimization, in particular to a method and a device for acquiring a daily scheduling power plan through main and micro cooperative optimization. Background Meanwhile, the demand of the daily optimization scheduling for quick calculation is further improved, the traditional target cascading analysis algorithm is serial solution, the calculation time is the optimal solution time of the main network plus the optimal solution maximum time of the distribution network, the calculation efficiency is reduced, and the convergence is influenced by multiplier setting. The existing random optimization scheduling method is also one of main methods for solving the problem of the optimal scheduling of the uncertain power system. The random optimization scheduling method based on the scene analysis method is used as an important method for solving the random optimization problem, the random optimization problem is converted into deterministic problem solution through scene generation and reduction, and the deterministic problem solution is applied to the area optimization scheduling of high-proportion distributed resource access, so that the adaptability of a scheduling plan can be enhanced. The random optimization scheduling method is mainly applied to a single-voltage-class power system at present, is less in application in the optimal scheduling of a multi-level power system, and needs to explore a random optimization scheduling strategy suitable for high-proportion distributed resource access to a power distribution network, so that the operation safety and economy of the power distribution network are ensured under the condition that the uncertainty is increasingly enhanced. Disclosure of Invention Aiming at the problems in the prior art, the embodiment of the invention provides a method and a device for acquiring a daily scheduling power plan through main and auxiliary micro cooperative optimization, which can at least partially solve the problems in the prior art. On one hand, the invention provides a method for acquiring a daily scheduling power plan with main and auxiliary micro cooperative optimization, which comprises the following steps: Determining first model input data, substituting the first model input data into a first objective function determined based on a main distribution network intra-day optimization scheduling model after a penalty function is reconstructed, and calculating to obtain a coupling variable of each iteration; verifying the coupling variable obtained by each calculation based on the external loop convergence condition used by the ATC algorithm optimization of TDQA, updating the multiplier and the coupling variable used by iterative calculation based on a multiplier and coupling variable self-adaptive updating mechanism if the convergence condition is not met, and periodically executing the coupling variable calculation step by using the updated multiplier and coupling variable until the convergence condition is met, and determining the main configuration intra-day collaborative optimization result at the moment as a micro-grid intra-day scheduling power value; And determining second model input data according to the intra-day scheduling power value of the micro-grid, substituting the second model input data into a second objective function determined based on the micro-grid scheduling model, and calculating to obtain the intra-day scheduling power plan of the main-auxiliary micro-cooperative optimization. Wherein updating the multiplier and the coupling variable used in the iterative computation based on the multiplier and coupling variable adaptive update mechanism comprises: Determining an iterative calculation stage according to the pseudo-convergence speed information of two adjacent times, wherein the pseudo-convergence speed information is obtained by calculating the last consistency constraint and the previous consistency constraint of the power distribution network in the same period during intra-day collaborative optimization; If the iterative computation phase is determined to be a first phase, determining that the first phase is a fast convergence phase or a slow convergence phase according to the pseudo convergence speed information of two adjacent times; And if the convergence stage is determined to be the rapid convergence stage, adjusting the first order multiplier updating step length of the penalty function according to a first preset constant, updating a first algorithm coefficient by using the adjusted first order multiplier updating step length of the penalty function and bilateral asynchronous information, and determining the coupling variable updating step length as a first preset value. The method for acquiring the intra-day scheduling power plan of the main and auxiliary