CN-121998350-A - Hierarchical distribution coupling power system supply and demand balance assessment method and system

CN121998350ACN 121998350 ACN121998350 ACN 121998350ACN-121998350-A

Abstract

The invention relates to the technical field of construction data optimization, in particular to a hierarchical distribution coupling power system supply and demand balance evaluation method and system, wherein the method comprises the steps of constructing a full-system multidimensional coupling index system; the method comprises the steps of mapping historical operation data into full-system high-dimensional feature vectors, performing collaborative clustering and joint screening to generate a probabilistic typical daily scene set, constructing a main-distribution collaborative distributed operation simulation model, introducing a load shedding loss item and a new energy power discarding punishment item into an optimization objective function of a main network and a distribution network to perform collaborative iterative computation, and calculating supply-demand balance of the main network, supply-demand balance of the distribution network and interlayer power interaction risk indexes to obtain a supply-demand balance evaluation result of a layered distributed coupled power system. The method effectively solves the problem that the coupling characteristics of the main distribution network are difficult to uniformly characterize and the risk of main network supply and distribution network consumption is considered in the existing method, and improves the accuracy and engineering applicability of the supply and demand balance assessment of the layered distribution coupling power system.

Inventors

ZHAO JINGBO
JIANG LIN
WANG CHONG
ZHAO TIANHUI
XIE BING
QIN CHUAN
AN HAIYUN

Assignees

国网江苏省电力有限公司电力科学研究院
江苏省电力试验研究院有限公司
国网江苏省电力有限公司
河海大学

Dates

Publication Date: 20260508
Application Date: 20260127

Claims (10)

1. A method for evaluating supply-demand balance of a hierarchically distributed coupled power system, the method comprising: constructing a full-system multidimensional coupling index system comprising a main network source load characteristic, an allocation network source load characteristic and interlayer payload characteristics between a main network and each allocation network; based on the full-system multidimensional coupling index system, mapping historical operation data into full-system high-dimensional feature vectors, and performing collaborative clustering and joint screening by introducing a similarity measurement mechanism considering the level importance to generate a probabilistic typical daily scene set; Aiming at the probabilistic typical daily scene set, constructing a main-distribution cooperative distributed operation simulation model based on risk cost embedded type target cascading analysis, and introducing a load shedding loss item and a new energy power-off penalty item into an optimization objective function of a main network and a distribution network to perform cooperative iterative computation; And calculating a main network supply and demand balance index, a distribution network supply and demand balance index and an interlayer power interaction risk index based on the result of the collaborative iterative calculation to obtain a supply and demand balance evaluation result of the layered distribution coupling power system.
2. The method for evaluating the supply-demand balance of a hierarchically distributed coupled power system according to claim 1, wherein constructing a system-wide multidimensional coupling index system including a main network source load characteristic, a distribution network source load characteristic, and an interlayer payload characteristic between the main network and each distribution network, comprises: constructing a main network source load coupling characteristic index set based on a time sequence matching relation between main network large-scale new energy output and main network load; constructing a distribution network source load coupling characteristic index set based on the absorption matching relation between the distributed power output and the local load in each distribution network; and constructing an interlayer payload characteristic index set between the main network and each distribution network based on the main network source load coupling characteristic index set and the distribution network source load coupling characteristic index set, and obtaining the full-system multidimensional coupling index system.
3. The hierarchical distributed coupled power system supply and demand balance assessment method of claim 1, wherein the introducing a similarity metric mechanism that accounts for hierarchical importance performs collaborative clustering and joint screening, comprising: normalizing each dimension index in the multi-dimension coupling index system of the whole system, and representing data corresponding to a single historical operation day as a high-dimension feature vector; different level importance weights are respectively set for the main network layer index, the distribution network layer and the interlayer index, and a weighted similarity measurement function considering the level importance is constructed; and based on the weighted similarity measurement function, carrying out collaborative clustering on the high-dimensional feature vectors, and dividing the historical operation days into a plurality of scene clusters with the correlation of the source load characteristics of the main network and the distribution network and the interlayer power interaction characteristics.
4. The method for evaluating supply and demand balance of a hierarchically distributed coupled power system according to claim 3, wherein performing joint scene screening on scene clusters obtained by collaborative clustering and generating a typical daily scene set with occurrence probability comprises: Aiming at each scene cluster, screening the historical operation day with the largest net load peak value of the main network in the scene cluster based on the supply and demand balance risk of the main network, and taking the historical operation day as a typical scene reflecting the mains power supply deficiency risk; aiming at the same scene cluster, screening historical operation days with the highest distribution network distributed power output ratio or lowest distribution network net load in the scene cluster based on local elimination risk of the distribution network; Aiming at the same scene cluster, screening historical operation days with the maximum net exchange power extremum or net load climbing rate among layers in the scene cluster based on interlayer power interaction risks between a main network and a distribution network; And merging and de-duplicating the typical scenes obtained through screening to form the typical daily scene set.
5. The hierarchical distributed coupled power system supply and demand balance assessment method according to claim 1, wherein constructing a main-distribution collaborative distributed operation simulation model based on risk cost embedded type target cascade analysis for the probabilistic typical day scene set comprises: dividing a layered distributed coupling power system into a main network layer and a distribution network layer, and selecting exchange power between the main network and each distribution network as a coupling variable shared between layers; And constructing a main network optimization sub-model, each distribution network optimization sub-model and each distribution network optimization sub-model, and introducing a deviation penalty term for describing interlayer exchange power consistency into the main network optimization sub-model and the distribution network optimization sub-model to obtain the main distribution coordination distributed operation simulation model.
6. The method for evaluating the supply and demand balance of the hierarchical distributed coupled power system according to claim 5, wherein the main network optimization sub-model takes the minimum sum of main network operation cost and main network load shedding loss cost as an optimization target and sets main network power supply and demand balance constraint and equipment operation constraint, and each of the distribution network optimization sub-models takes the minimum sum of distribution network local operation cost and new energy power discarding penalty cost as an optimization target and sets distribution network local power balance constraint and distributed power supply operation constraint.
7. The method for evaluating the supply-demand balance of a hierarchically distributed coupled power system according to claim 1, wherein the main network supply-demand balance index comprises: ; ; ; Wherein, in the formula: 、 And The power shortage maximum value, the power shortage probability and the expected power shortage value of the main network are respectively; is a full system typical day show Jing Jige; Is a scene Is a probability of occurrence of (2); is a set of all day periods; Is a scene At the position of The main network cuts the load quantity at the moment; taking 1 when the condition is satisfied, otherwise taking 0; in time steps.
8. The method for evaluating the supply-demand balance of a hierarchically distributed and coupled power system according to claim 1, wherein the distribution network supply-demand balance index comprises: ; ; ; Wherein, the 、 And Respectively the first The maximum value, probability and expected value of the power deficiency of the individual distribution network; Is a scene At the position of Time of day (time) Cut load of each distribution network.
9. The method for evaluating the supply-demand balance of a hierarchically distributed coupled power system according to claim 1, wherein the inter-layer power interaction risk index comprises: ; ; ; Wherein, the The blocking probability is the coupling point; the power feedback probability; is the maximum value of the reverse power; Is a scene At the position of Time of day (time) The actual exchange power of each coupling point defines the main network flow direction as the positive direction; is the maximum transmission capacity of the coupling point line.
10. A hierarchically distributed coupled power system supply and demand balance assessment system, the system comprising: The index system construction module is used for constructing a full-system multidimensional coupling index system comprising the source load characteristics of the main network, the source load characteristics of the distribution network and the interlayer payload characteristics between the main network and each distribution network; the daily scene set generation module maps the historical operation data into full-system high-dimensional feature vectors based on the full-system multi-dimensional coupling index system, and performs collaborative clustering and joint screening by introducing a similarity measurement mechanism considering the level importance to generate a probabilistic typical daily scene set; The simulation model construction module is used for constructing a main-distribution cooperative distributed operation simulation model based on risk cost embedded type target cascading analysis aiming at the probabilistic typical daily scene set, and introducing a load shedding loss item and a new energy power discarding penalty item into an optimization objective function of a main network and a distribution network to carry out cooperative iterative computation; And the evaluation result acquisition module is used for calculating a main network supply and demand balance index, a distribution network supply and demand balance index and an interlayer power interaction risk index based on the result of the collaborative iterative calculation to obtain a supply and demand balance evaluation result of the layered distribution coupling power system.

Description

Hierarchical distribution coupling power system supply and demand balance assessment method and system Technical Field The invention relates to the technical field of power system evaluation, in particular to a hierarchical distribution coupling power system supply and demand balance evaluation method and system. Background Meanwhile, the power system structure gradually presents the development characteristics of layered distribution and mutual coupling of a main network and a distribution network, the main network side is intensively connected with a large-scale new energy source, the distribution network side is widely connected with a distributed power source and flexible load, the power interaction is carried out between the main network and the distribution network through a connecting line, and the load change of the distribution network source can influence the running state of the main network in an interlayer payload form. Under the background, the existing power system supply-demand balance evaluation method mostly takes a single-level system as a research object or respectively performs independent analysis on a main network and a distribution network, lacks an evaluation method capable of simultaneously describing the source load characteristics of the main network, the source load characteristics of the distribution network and the interlayer payload characteristics between the main network and the distribution network under a unified frame, and is difficult to reflect the uncertainty of the multi-level source load and the interaction relationship thereof in the layered distribution coupling power system, so that the evaluation result is difficult to accurately reflect the overall operation characteristics of the system. In addition, when historical operation data are processed, the conventional scene generation or simplified analysis means are mostly adopted in the existing evaluation method, importance differences of different level characteristics in supply and demand balance analysis cannot be fully considered, and in the operation simulation process, the main network power supply safety risk and the distribution network new energy consumption risk are difficult to be simultaneously considered, so that the applicability and the guiding significance of the supply and demand balance evaluation result under extreme working conditions are limited. Disclosure of Invention The invention provides a hierarchical distribution coupling power system supply-demand balance assessment method, which can effectively solve the problems in the background technology. In order to achieve the above purpose, the technical scheme adopted by the invention is as follows: a method for evaluating supply-demand balance of a hierarchically distributed coupled power system, the method comprising: constructing a full-system multidimensional coupling index system comprising a main network source load characteristic, an allocation network source load characteristic and interlayer payload characteristics between a main network and each allocation network; based on the full-system multidimensional coupling index system, mapping historical operation data into full-system high-dimensional feature vectors, and performing collaborative clustering and joint screening by introducing a similarity measurement mechanism considering the level importance to generate a probabilistic typical daily scene set; Aiming at the probabilistic typical daily scene set, constructing a main-distribution cooperative distributed operation simulation model based on risk cost embedded type target cascading analysis, and introducing a load shedding loss item and a new energy power-off penalty item into an optimization objective function of a main network and a distribution network to perform cooperative iterative computation; And calculating a main network supply and demand balance index, a distribution network supply and demand balance index and an interlayer power interaction risk index based on the result of the collaborative iterative calculation to obtain a supply and demand balance evaluation result of the layered distribution coupling power system. Further, constructing a system-wide multidimensional coupling index system including a main network source load characteristic, a distribution network source load characteristic and an interlayer payload characteristic between the main network and each distribution network, including: constructing a main network source load coupling characteristic index set based on a time sequence matching relation between main network large-scale new energy output and main network load; constructing a distribution network source load coupling characteristic index set based on the absorption matching relation between the distributed power output and the local load in each distribution network; and constructing an interlayer payload characteristic index set between the main network and each distribution network based