A MILP-based power system parallel restoration model with the support of mobile energy storage systems

被引:0
作者
Xie, Yunyun [1 ]
Cai, Sheng [1 ]
Wang, Jie [2 ]
Chen, Yuhuan [1 ]
Qiu, Chenguang [3 ]
机构
[1] Nanjing Univ Sci & Technol, Sch Automat, Nanjing 210094, Peoples R China
[2] State Grid Baoying Cty Elect Power Supply Co, Yangzhou 225800, Peoples R China
[3] State Grid Jiangsu Elect Power Supply Co Ltd, Nanjing 210024, Peoples R China
关键词
Power system restoration; Mobile energy storage; Black -start generator; Coupled transportation -power network; Mixed integrate linear programming; BLACKSTART CAPABILITY; OPTIMIZATION; ALGORITHM; STRATEGY;
D O I
10.1016/j.epsr.2024.110592
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
During bulk power system restoration, black-start (BS) units are used to crank non-BS units in such a way that the over system generation capability is maximized. However, traditional power system restoration methods rely on stationary BS units, whose number is limited due to high investment and geographic conditions, impeding a fast system restoration. To enhance restoration efficiency, this paper proposes an integrated power system parallel restoration method considering the support of mobile energy storage systems (MESSs), which can provide cranking power to non-BS units and transform them into MESS-assisted BS units. MESSs are routed and scheduled via transportation network, along with restoration planning in power network by integrating them into a mixed integrated linear programming model. Specifically, to describe the interactive behavior between MESSs and the power system, a mobility model for MESSs is proposed, which indicates the travel path, travel time and connection nodes. Then, an integrated optimization model involving BS unit location, zone partitioning, network reconfiguration and generator start-up is formulated. The proposed method was simulated in the modified IEEE 30-bus transmission system coupled with 11-node transportation system. The results show that, in contrast with a decoupled restoration method, the proposed method increases system generation capability by 6.3%.
引用
收藏
页数:11
相关论文
共 50 条
  • [41] Methodology for the economic optimisation of energy storage systems for frequency support in wind power plants
    Johnston, Lewis
    Diaz-Gonzalez, Francisco
    Gomis-Bellmunt, Oriol
    Corchero-Garcia, Cristina
    Cruz-Zambrano, Miguel
    APPLIED ENERGY, 2015, 137 : 660 - 669
  • [42] A MILP Optimization Model for Sizing a Hybrid Concentrated Solar Power-Wind System Considering Energy Allocation
    Ghaithan, Ahmed M.
    Al Hanbali, Ahmad
    Mohammed, Awsan
    Abdel-Aal, Mohammad
    PROCESS INTEGRATION AND OPTIMIZATION FOR SUSTAINABILITY, 2024, 8 (05) : 1527 - 1544
  • [43] Optimal Strategies in Home Energy Management System Integrating Solar Power, Energy Storage, and Vehicle-to-Grid for Grid Support and Energy Efficiency
    Sangswang, Anawach
    Konghirun, Mongkol
    IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2020, 56 (05) : 5716 - 5728
  • [44] Real-Time Energy Management for Net-Zero Power Systems Based on Shared Energy Storage
    Du, Pengbo
    Huang, Bonan
    Liu, Ziming
    Yang, Chao
    Sun, Qiuye
    JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY, 2024, 12 (02) : 371 - 380
  • [45] Research and Bench Test of Nonlinear Model Predictive Control-Based Power Allocation Strategy for Hybrid Energy Storage System
    Zhao Yulong
    Wang Weida
    Xiang Changle
    Liu Hui
    Langari, Reza
    IEEE ACCESS, 2018, 6 : 70770 - 70787
  • [46] Optimal planning method of multi-energy storage systems based on the power response analysis in the integrated energy system
    Gao, Mingfei
    Han, Zhonghe
    Zhao, Bin
    Li, Peng
    Wu, Di
    Li, Peng
    JOURNAL OF ENERGY STORAGE, 2023, 73
  • [47] Parallel Restoration Method for AC-DC Hybrid Power Systems Based on Graph Theory
    Li, Changcheng
    Xu, Yin
    He, Jinghan
    Zhang, Pei
    Liu, Lin
    IEEE ACCESS, 2019, 7 : 66185 - 66196
  • [48] Regenerative Braking Energy Flow Control Algorithm for Power Grid Voltage Stabilization in Mobile Energy Storage Systems
    Zupan, Ivan
    Sunde, Viktor
    Ban, Zeljko
    Novoselnik, Branimir
    ENERGIES, 2025, 18 (02)
  • [49] A Comparison of Power Conversion Systems for Modular Battery-Based Energy Storage Systems
    Diaz-Gonzalez, Francisco
    Heredero-Peris, Daniel
    Pages-Gimenez, Marc
    Prieto-Araujo, Eduardo
    Sumper, Andreas
    IEEE ACCESS, 2020, 8 (08): : 29557 - 29574
  • [50] Model predictive control based real-time energy management for hybrid energy storage system
    Chen, Huan
    Xiong, Rui
    Lin, Cheng
    Shen, Weixiang
    CSEE JOURNAL OF POWER AND ENERGY SYSTEMS, 2021, 7 (04): : 862 - 874