TY - GEN
T1 - Feasibility Study of Energy Storage Systems for a Wind Farm
T2 - 14th IEEE International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2020
AU - Kalakova, Aidana
AU - Amanbek, Yerasyl
AU - Kumar Nunna, H. S.V.S.
AU - Jamwal, Prashant
AU - Doolla, Suryanarayanna
N1 - Funding Information:
VI. ACKNOWLEDGMENT Authors would like to acknowledge the financial support given by the Nazarbayev University through the Collaborative Research Grant (Ref. Id: 091019CRP2116) and the School of Engineering and Digital Sciences.
PY - 2020/7
Y1 - 2020/7
N2 - Increased number of Distributed Energy Resources (DERs) in the electric distribution systems brings major challenges related to energy scheduling, management and control. To address these challenges, Energy Storage Systems (ESS) like batteries or pumped hydro storages can be used to manage energy more effectively. The work aims to conduct feasibility study of ESS for wind farm located in Ereymentau region, Kazakhstan to identify most economically feasible system. The aim is to reduce intermittency of generation and effectively respond to peak hour periods. Optimal sizing and economic models of ESS was developed. For the battery systems inverter parameters and battery bank sizing were estimated. In case of pumped hydro storage, the water reservoir and turbine sizing were modeled. The economic model was based on estimating Life-cycle costs (LCC) for battery systems, pumped hydro systems, and combined model. Sensitivity analysis for the ESS models on energy consumption, peak load, peak hours, and discount rate were conducted.
AB - Increased number of Distributed Energy Resources (DERs) in the electric distribution systems brings major challenges related to energy scheduling, management and control. To address these challenges, Energy Storage Systems (ESS) like batteries or pumped hydro storages can be used to manage energy more effectively. The work aims to conduct feasibility study of ESS for wind farm located in Ereymentau region, Kazakhstan to identify most economically feasible system. The aim is to reduce intermittency of generation and effectively respond to peak hour periods. Optimal sizing and economic models of ESS was developed. For the battery systems inverter parameters and battery bank sizing were estimated. In case of pumped hydro storage, the water reservoir and turbine sizing were modeled. The economic model was based on estimating Life-cycle costs (LCC) for battery systems, pumped hydro systems, and combined model. Sensitivity analysis for the ESS models on energy consumption, peak load, peak hours, and discount rate were conducted.
KW - Battery Storage System
KW - Energy Storage Systems (ESS)
KW - Life-cycle costs (LCC)
KW - Pumped-Hydro Storage
UR - http://www.scopus.com/inward/record.url?scp=85090860192&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85090860192&partnerID=8YFLogxK
U2 - 10.1109/CPE-POWERENG48600.2020.9161476
DO - 10.1109/CPE-POWERENG48600.2020.9161476
M3 - Conference contribution
AN - SCOPUS:85090860192
T3 - Proceedings - 2020 IEEE 14th International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2020
SP - 364
EP - 369
BT - Proceedings - 2020 IEEE 14th International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2020
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 8 July 2020 through 10 July 2020
ER -