TY - JOUR
T1 - Optimal Flow of MVDC Shipboard Microgrids with Hybrid Storage Enhanced with Capacitive and Resistive Droop Controllers
AU - Khazaei, Javad
N1 - Funding Information:
date of current version June 18, 2021. This work was supported by the U.S. between DC microgrids and MVDC shipboard power systems is DepartmentofDefense,OfficeofNavalResearch(ONR)underGrantN00014- the type of load that is used. The loads on the MVDC shipboard TheauthoriswiththeElectricalEngineeringDepartment,PennStateHar-20-1-2397.Paperno.TPWRS-01348-2020. power systems normally include (1) pulsed power loads (PPLs), risburg and Architectural Engineering Department, Penn State University Park, (2) propulsion motor loads, and (3) service loads [3]. Among PA16802-1800USA(e-mail:jxk792@psu.edu). these load types, PPLs are the most challenging ones to support //doi.org/10.1109/TPWRS.2021.3049343.Colorversionsofoneormorefiguresinthisarticleareavailableathttps: due to their periodic fast changing demands in the range of Digital Object Identifier 10.1109/TPWRS.2021.3049343 seconds to minutes [3]. In addition to power quality issues caused 0885-8950 © 2021 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See https://www.ieee.org/publications/rights/index.html for more information.
Funding Information:
This work was supported by the U.S. Department of Defense, Office of Naval Research (ONR) under Grant N00014-20-1-2397
Publisher Copyright:
© 1969-2012 IEEE.
PY - 2021/7
Y1 - 2021/7
N2 - Hybrid storage system composed of battery energy storage systems (BESSs) and supercapacitors is a promising solution to mitigate the high frequency power fluctuations of pulsed power loads (PPLs) in medium voltage DC (MVDC) shipboard power systems. Due to the presence of multiple storage units, a power sharing algorithm needs to be considered within the energy management system (EMS) in the shipboard power system. In this paper, an optimal power flow problem is formulated for MVDC shipboard power systems with hybrid energy storage systems. Battery energy storage systems (BESSs) and conventional generation units are enhanced with virtual resistive droop controllers to share the steady-state power fluctuations. Supercapacitors are enhanced with virtual capacitive droop controllers to share the high frequency fluctuations in the load. The optimal flow accounts for minimizing the operational cost of the generation units in the shipboard power system considering the constraints of network, load balance, voltage profile, and power/energy limits. Second-order cone programming (SOCP) relaxation is used to approximate the nonconvexity of the optimal flow formulation and necessary conditions for global optimality of the solution are discussed. Results confirm the effectiveness of the proposed formulation in load support and managing the energy between storage units.
AB - Hybrid storage system composed of battery energy storage systems (BESSs) and supercapacitors is a promising solution to mitigate the high frequency power fluctuations of pulsed power loads (PPLs) in medium voltage DC (MVDC) shipboard power systems. Due to the presence of multiple storage units, a power sharing algorithm needs to be considered within the energy management system (EMS) in the shipboard power system. In this paper, an optimal power flow problem is formulated for MVDC shipboard power systems with hybrid energy storage systems. Battery energy storage systems (BESSs) and conventional generation units are enhanced with virtual resistive droop controllers to share the steady-state power fluctuations. Supercapacitors are enhanced with virtual capacitive droop controllers to share the high frequency fluctuations in the load. The optimal flow accounts for minimizing the operational cost of the generation units in the shipboard power system considering the constraints of network, load balance, voltage profile, and power/energy limits. Second-order cone programming (SOCP) relaxation is used to approximate the nonconvexity of the optimal flow formulation and necessary conditions for global optimality of the solution are discussed. Results confirm the effectiveness of the proposed formulation in load support and managing the energy between storage units.
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U2 - 10.1109/TPWRS.2021.3049343
DO - 10.1109/TPWRS.2021.3049343
M3 - Article
AN - SCOPUS:85099187972
SN - 0885-8950
VL - 36
SP - 3728
EP - 3739
JO - IEEE Transactions on Power Systems
JF - IEEE Transactions on Power Systems
IS - 4
M1 - 9314261
ER -