A Resilience Driven Multi-Objective Approach for Optimal Placement of Energy Storage in Islanded Transmission Networks

被引:1
作者
Nassif, Alexandre B. [1 ]
Daneshpooy, Ali [2 ]
Othman, Hisham [3 ]
Vu, Khoi [3 ]
Paaso, Aleksi [1 ]
机构
[1] LUMA Energy, San Juan, PR 00936 USA
[2] LUMA Energy, Oakland, CA USA
[3] LUMA Energy, Raleigh, NC USA
来源
2023 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES LATIN AMERICA, ISGT-LA | 2023年
关键词
Energy Storage; reliability; resilience;
D O I
10.1109/ISGT-LA56058.2023.10328327
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Battery energy storage systems can provide the needed supply during extreme events and improve system resilience during system outages caused by natural or man-made events. The amount of relief that energy storage can provide during an extreme event depends strongly on its placement and size. This study investigates the optimal sizing and placement of energy storage resources throughout island transmission networks to improve grid resilience. Three aspects of resilience were considered, namely (1) providing back up to critical loads under probable system contingencies, i.e., mitigating critical load drops due to grid outages, (i.e., consequential load drop), (2) mitigating the need to interrupt service to critical loads that can happen as a consequence of thermal and voltage grid violations under probable system contingencies (i.e., non-consequential critical load drops), and (3) enabling orderly breakup into smaller islands and subsequent operation of these system islands while maximizing the number of critical loads being served.
引用
收藏
页码:15 / 19
页数:5
相关论文
共 50 条
[21]   A multi-objective framework for distributed energy resources planning and storage management [J].
Ahmadi, Bahman ;
Ceylan, Oguzhan ;
Ozdemir, Aydogan ;
Fotuhi-Firuzabad, Mahmoud .
APPLIED ENERGY, 2022, 314
[22]   Multi-Objective Optimal Dispatch of Energy Router Considering the Efficiency of Microgrid [J].
Lu, Qingyuan ;
Wang, Qingsong ;
Deng, Fujin ;
Kaddah, Sahar S. ;
Abulanwar, Sayed .
2024 4TH POWER SYSTEM AND GREEN ENERGY CONFERENCE, PSGEC 2024, 2024, :1137-1142
[23]   Optimised planning of power distribution network with solar energy, Battery storage and DSTATCOM: a multi-objective approach [J].
Ghatak, Sriparna Roy ;
Sannigrahi, Surajit ;
Acharjee, Parimal .
2018 IEEE INTERNATIONAL CONFERENCE ON POWER ELECTRONICS, DRIVES AND ENERGY SYSTEMS (PEDES), 2018,
[24]   Dynamic networking of islanded regional multi-microgrid networks based on graph theory and multi-objective evolutionary optimization [J].
Ge, Leijiao ;
Song, Zhaoshan ;
Xu, Xiandong ;
Bai, Xingzhen ;
Yan, Jun .
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS, 2021, 31 (01)
[25]   Multi-Objective Design of Energy Storage in Distribution Systems Based on Modified Particle Swarm Optimization [J].
Xu, Yixing ;
Singh, Chanan .
2012 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING, 2012,
[26]   Resilience-Driven Optimal Sizing of Energy Storage Systems in Remote Microgrids [J].
Picioroaga, Irina ;
Luca, Madalina ;
Tudose, Andrei ;
Sidea, Dorian ;
Eremia, Mircea ;
Bulac, Constantin .
SUSTAINABILITY, 2023, 15 (22)
[27]   Multi-objective transmission expansion planning based on Pareto dominance and neural networks [J].
Miranda, Felipe L. ;
Oliveira, Leonardo W. ;
Oliveira, Edimar J. ;
Nepomuceno, Erivelton G. ;
Dias, Bruno H. .
ELECTRIC POWER SYSTEMS RESEARCH, 2023, 214
[28]   Multi-objective transmission expansion planning based on Pareto dominance and neural networks [J].
Miranda, Felipe L. ;
Oliveira, Leonardo W. ;
Oliveira, Edimar J. ;
Nepomuceno, Erivelton G. ;
Dias, Bruno H. .
ELECTRIC POWER SYSTEMS RESEARCH, 2023, 214
[29]   A multi-objective framework for energy resource scheduling in active distribution networks [J].
Shafiee, Mehdi ;
Ghazi, Reza ;
Moeini-Aghtaie, Moein .
INTERNATIONAL JOURNAL OF AMBIENT ENERGY, 2019, 40 (05) :504-516
[30]   Multi-objective optimal power management and sizing of a reliable wind/PV microgrid with hydrogen energy storage using MOPSO [J].
Baghaee, Hamid Reza ;
Mirsalim, Mojtaba ;
Gharehpetian, Gevork B. .
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2017, 32 (03) :1753-1773