Discrete Logic vs Optimized Dispatch for Energy Storage in a Microgrid

被引:0
作者
Headley, Alexander J. [1 ]
Schenkman, Benjamin L. [1 ]
Rosewater, David M. [1 ]
机构
[1] Sandia Natl Labs, Energy Storage Technol & Syst, POB 5800, Albuquerque, NM 87185 USA
来源
2020 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM) | 2020年
关键词
energy storage; discrete dispatch; optimized dispatch; microgrid;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Forward operating base (FOB) microgrids typically use diesel generators with discrete logic control to supply power. However, emerging energy storage systems can be added as spinning reserves and to increase the PV hosting capacity of microgrids to significantly reduce diesel consumption if resources are controlled appropriately. Discrete logic controllers use if/else statements to determine resource dispatch based on inputs such as net load and generator run times but do not account for the capabilities of energy storage systems explicitly. Optimal dispatch controllers could improve upon this architecture by optimizing dispatch based on forecasts of load and generation. However, optimal dispatch controllers are far less intuitive, require more processing power, and the level of potential improvement is unclear. This work seeks to address three points with regards to FOB microgrid operations. Firstly, the impact of energy storage systems on the adoption of solar generation in microgrids is discussed. Secondly, logic is added to the typical discrete controller decision tree to account for energy storage resources. Lastly, fuel savings with energy storage and solar generation using the new discrete control logic and optimal dispatch are compared based on load data measured from a real FOB. The results of these analyses show the potential impact of energy storage on fuel consumption in FOBs and gives guidance as to the appropriate control architecture for management of integrated resource microgrids.
引用
收藏
页数:5
相关论文
共 50 条
  • [1] Economic Dispatch of a Hybrid Microgrid With Distributed Energy Storage
    Mahmoodi, Mishel
    Shamsi, Pourya
    Fahimi, Babak
    IEEE TRANSACTIONS ON SMART GRID, 2015, 6 (06) : 2607 - 2614
  • [2] Microgrid Economic Dispatch With Energy Storage Systems
    Ross, Michael
    Abbey, Chad
    Bouffard, Francois
    Joos, Geza
    IEEE TRANSACTIONS ON SMART GRID, 2018, 9 (04) : 3039 - 3047
  • [3] Real-time optimal energy dispatch for microgrid with battery storage
    Shi, Qingjun
    Jiang, Quanyuan
    Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2013, 33 (05): : 76 - 82
  • [4] Dynamic Economic Dispatch of Hybrid Microgrid with Energy Storage Using Quadratic Programming
    Wibowo, Rony Seto
    Firmansyah, Kemas Robby
    Aryani, Ni Ketut
    Soeprijanto, Adi
    PROCEEDINGS OF THE 2016 IEEE REGION 10 CONFERENCE (TENCON), 2016, : 667 - 670
  • [5] Grey Wolf Optimized Economic Load Dispatch Including Battery Storage In Microgrid
    Aljribi, Salem
    Yusupov, Ziyodulla
    JOURNAL OF POLYTECHNIC-POLITEKNIK DERGISI, 2024, 27 (01):
  • [6] An Energy Management System for Residential Autonomous DC Microgrid Using Optimized Fuzzy Logic Controller Considering Economic Dispatch
    Al-Sakkaf, Shehab
    Kassas, Mahmoud
    Khalid, Muhammad
    Abido, Mohammad A.
    ENERGIES, 2019, 12 (08)
  • [7] Optimized allocation of microgrid energy storage capacity considering photovoltaic correction
    Chen J.
    Xiao Y.
    Mo R.
    Tian Y.
    Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2021, 49 (10): : 59 - 66
  • [8] Dynamic Economic Dispatch of Isolated Microgrid with Energy Storage using MIQP
    Sufyan, Muhammad
    Tan, ChiaKwang
    Abd Rahim, Nasrudin
    Raihan, Siti Rohani Shaikh
    Muhammad, Munir Azam
    2018 INTERNATIONAL CONFERENCE ON INTELLIGENT AND ADVANCED SYSTEM (ICIAS 2018) / WORLD ENGINEERING, SCIENCE & TECHNOLOGY CONGRESS (ESTCON), 2018,
  • [9] A real-time optimal energy dispatch for microgrid Including battery energy storage
    Yu Jiang-feng
    Wei Wei
    Peng Yong-gang
    PROCEEDINGS OF 2016 10TH INTERNATIONAL CONFERENCE ON SOFTWARE, KNOWLEDGE, INFORMATION MANAGEMENT & APPLICATIONS (SKIMA), 2016, : 314 - 318
  • [10] Model Predictive Control Energy Dispatch to Optimize Renewable Penetration for a Microgrid with Battery and Thermal Storage
    Aldaouab, Ibrahim
    Daniels, Malcolm
    Ordonez, Raul
    2018 IEEE TEXAS POWER AND ENERGY CONFERENCE (TPEC), 2018,