Yansong Bai, Xueping Gu, Shaoyan Li, Tong Liu, Yingshan Wang
{"title":"风电一体化多电压级电力系统恢复决策的层次协调优化","authors":"Yansong Bai, Xueping Gu, Shaoyan Li, Tong Liu, Yingshan Wang","doi":"10.1049/gtd2.70075","DOIUrl":null,"url":null,"abstract":"<p>In power system restoration (PSR), networks with various voltage levels have different decision-making constraints and restoration characteristics. Specifically, the restoration plan for the lower voltage level network is more adaptable to uncertainty of wind power output, owing to its greater flexibility. First, the restoration scheme decision-making is divided into two parts for the main network level (MNL) and the regional network level (RNL) respectively, according to the voltage levels. Second, a hierarchical coordinated optimisation model is established based on a two-stage framework. In the first stage, the plants/lines restoration sequence of the MNL and the subsystem partitioning scheme are determined. Furthermore, the plants/lines restoration sequence of the RNL and the restoration power scheduling scheme of the MNL and RNL are obtained in the second stage of optimisation, which can be flexibly adjusted to adapt to uncertain wind power outputs. The coordination and allocation of frequency regulation resources across subsystems are considered. Finally, the nested column and constraint generation algorithm is applied to solve the two-stage robust model. Case studies using the IEEE standard and a provincial system in China show that the algorithm converges in 2–3 iterations. Compared to non-hierarchical approaches, the proposed method improves cumulative restored energy by 2% and 5.3% in case 1 and case 2, respectively, while maintaining robustness against wind power uncertainty, highlighting its effectiveness in multi-level PSR.</p>","PeriodicalId":13261,"journal":{"name":"Iet Generation Transmission & Distribution","volume":"19 1","pages":""},"PeriodicalIF":2.0000,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.70075","citationCount":"0","resultStr":"{\"title\":\"Hierarchical Coordinated Optimisation of the Restoration Decision-Making for Multi-Voltage-Level Power Systems With Wind Power Integration\",\"authors\":\"Yansong Bai, Xueping Gu, Shaoyan Li, Tong Liu, Yingshan Wang\",\"doi\":\"10.1049/gtd2.70075\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>In power system restoration (PSR), networks with various voltage levels have different decision-making constraints and restoration characteristics. Specifically, the restoration plan for the lower voltage level network is more adaptable to uncertainty of wind power output, owing to its greater flexibility. First, the restoration scheme decision-making is divided into two parts for the main network level (MNL) and the regional network level (RNL) respectively, according to the voltage levels. Second, a hierarchical coordinated optimisation model is established based on a two-stage framework. In the first stage, the plants/lines restoration sequence of the MNL and the subsystem partitioning scheme are determined. Furthermore, the plants/lines restoration sequence of the RNL and the restoration power scheduling scheme of the MNL and RNL are obtained in the second stage of optimisation, which can be flexibly adjusted to adapt to uncertain wind power outputs. The coordination and allocation of frequency regulation resources across subsystems are considered. Finally, the nested column and constraint generation algorithm is applied to solve the two-stage robust model. Case studies using the IEEE standard and a provincial system in China show that the algorithm converges in 2–3 iterations. Compared to non-hierarchical approaches, the proposed method improves cumulative restored energy by 2% and 5.3% in case 1 and case 2, respectively, while maintaining robustness against wind power uncertainty, highlighting its effectiveness in multi-level PSR.</p>\",\"PeriodicalId\":13261,\"journal\":{\"name\":\"Iet Generation Transmission & Distribution\",\"volume\":\"19 1\",\"pages\":\"\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2025-04-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1049/gtd2.70075\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Iet Generation Transmission & Distribution\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1049/gtd2.70075\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Iet Generation Transmission & Distribution","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1049/gtd2.70075","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Hierarchical Coordinated Optimisation of the Restoration Decision-Making for Multi-Voltage-Level Power Systems With Wind Power Integration
In power system restoration (PSR), networks with various voltage levels have different decision-making constraints and restoration characteristics. Specifically, the restoration plan for the lower voltage level network is more adaptable to uncertainty of wind power output, owing to its greater flexibility. First, the restoration scheme decision-making is divided into two parts for the main network level (MNL) and the regional network level (RNL) respectively, according to the voltage levels. Second, a hierarchical coordinated optimisation model is established based on a two-stage framework. In the first stage, the plants/lines restoration sequence of the MNL and the subsystem partitioning scheme are determined. Furthermore, the plants/lines restoration sequence of the RNL and the restoration power scheduling scheme of the MNL and RNL are obtained in the second stage of optimisation, which can be flexibly adjusted to adapt to uncertain wind power outputs. The coordination and allocation of frequency regulation resources across subsystems are considered. Finally, the nested column and constraint generation algorithm is applied to solve the two-stage robust model. Case studies using the IEEE standard and a provincial system in China show that the algorithm converges in 2–3 iterations. Compared to non-hierarchical approaches, the proposed method improves cumulative restored energy by 2% and 5.3% in case 1 and case 2, respectively, while maintaining robustness against wind power uncertainty, highlighting its effectiveness in multi-level PSR.
期刊介绍:
IET Generation, Transmission & Distribution is intended as a forum for the publication and discussion of current practice and future developments in electric power generation, transmission and distribution. Practical papers in which examples of good present practice can be described and disseminated are particularly sought. Papers of high technical merit relying on mathematical arguments and computation will be considered, but authors are asked to relegate, as far as possible, the details of analysis to an appendix.
The scope of IET Generation, Transmission & Distribution includes the following:
Design of transmission and distribution systems
Operation and control of power generation
Power system management, planning and economics
Power system operation, protection and control
Power system measurement and modelling
Computer applications and computational intelligence in power flexible AC or DC transmission systems
Special Issues. Current Call for papers:
Next Generation of Synchrophasor-based Power System Monitoring, Operation and Control - https://digital-library.theiet.org/files/IET_GTD_CFP_NGSPSMOC.pdf