Refine your search
Collections
Co-Authors
Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Sowmiya, S.
- Novel Control Strategy to Maximize the Power Generation in Renewable Energy With Battery Storage System
Abstract Views :265 |
PDF Views:0
Authors
Affiliations
1 Department of Electrical and Electronics Engineering, M. Kumarasamy College of Engineering, Karur, Tamil Nadu, IN
2 Department of Electrical and Electronics Engineering, M. Kumarasamy College of Engineering, Karur, IN
1 Department of Electrical and Electronics Engineering, M. Kumarasamy College of Engineering, Karur, Tamil Nadu, IN
2 Department of Electrical and Electronics Engineering, M. Kumarasamy College of Engineering, Karur, IN
Source
International Journal of Emerging Trends in Science & Technology, Vol 6, No 1 (2020), Pagination: 05-09Abstract
This paper proposes the control framework assessment which is incorporated with a microgrid to increase the storing limit of the battery. Battery Vitality Stockpiling Framework (BESS) can give organizing stores, a sort of subordinate help, by modifying dynamic force for rehash control, suggested as Weight Repeat Control (LFC), to diminish rehash deviations acknowledged by unexpected changes in interminable age. Rather than utilizing a checking-based framework, the proposed philosophy takes the separation between the accessible unfathomable age and weight, condition of-charge of centrality putting away structure and power elevate the cost to pick the charging and releasing paces of the noteworthiness aggregating framework in a moving skyline. A model of the remote microgrid was picked as the purpose behind the plans. The most observably awful hour for power assortment from the breeze plants was perceived from this requesting and used as the purpose behind replicating the LFC controllers. With the help of the proposed control strategy, renewable energy power generation can be maximized and the system was modeled using the MATLAB Simulink and the results were observed.Keywords
Battery energy storage system, Load frequency control.
References
- A. Ipakchi, and F. Albuyeh, “Grid of the future,” IEEE Power and Energy Magazine, vol. 7, no. 2, pp. 52-62, 2009.
- R. D. Labati, A. Genovese, V. Piuri, F. Scotti, and G. Sforza, “A decision support system for wind power production,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, pp. (99): 1-15, 2018.
- E. Mojica-Nava, C. A. Macana, and N. Quijano, “Dynamic population games for optimal dispatch on hierarchical microgrid control,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 44, no. 3, pp. 306-317, 2014.
- G. Strbac, M. Aunedi, I. Konstantelos, R. Moreira, ....., and P. Papadopoulos, “Opportunities for energy storage: Assessing whole-system economic benefits of energy storage in future electricity systems,” IEEE Power and Energy Magazine, vol. 15, no. 5, pp. 32-41, 2017.
- J. C. Vasquez, J. M. Guerrero, J. Miret, M. Castilla, and L. G. de Vicuna, “Hierarchical control of intelligent microgrids,” IEEE Industrial Electronic Magazine, vol. 4, no. 4, pp. 23-29, 2010.
- A. Kwasinski, V. Krishnamurthy, J. Song, and R. Sharma, “Availability evaluation of micro-grids for resistant power supply during natural disasters,” IEEE Transactions on Smart Grid, vol. 3, no. 4, pp. 20072018, 2012.
- B. Zhou, and T. Littler, “Local storage meets local demand: A technical solution to future power distribution system,” IET Generation, Transmission & Distribution, vol. 10, no. 3, pp. 704-711, 2016.
- D. M. Greenwood, N. S. Wade, P. C. Taylor, P. Papadopoulos, and N. Heyward, “A probabilistic method combining electrical energy storage and realtime thermal ratings to defer network reinforcement,” IEEE Transactions on Sustainable Energy, vol. 8, no. 1, pp. 374-384, 2017.
- P. Zou, Q. Chen, Q. Xia, G. He, and C. Kang, ”Evaluating the contribution of energy storages to support largescale renewable generation in joint energy and ancillary service markets,” IEEE Transactions on Sustainable Energy, vol. 7, no. 2, pp. 808-818, 2016.
- S. M. Vaca, C. Patsios, and P. Taylor, “Enhancing frequency response of wind farms using hybrid energy storage systems,” 2016 IEEE International Conference on Renewable Energy Research and Applications (ICRERA), Providence, RI, pp. 325-329, November 2016.
- H. Lund, G. Salgi, B. Elmegaard, and A. N. Andersen, “Optimal operation strategies of compressed air energy storage (CAES) on electricity spot markets with f luctuating prices,” Applied Thermal Engineering, vol. 29, no. 5, pp. 799-806, 2009.
- R. Sioshansi, P. Denholm, T. Jenkin, and J. Weiss, “Estimating the value of electricity storage in PJM: Arbitrage and some welfare effects,” Energy Economics, vol. 31, no. 2, pp. 269-277, 2009.
- K. Meng, Z. Y. Dong, Z. Xu, Y. Zheng, and D. J. Hill, “Coordinated dispatch of virtual energy storage systems in smart distribution networks for loading management,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, pp. (99): pp. 1-11, 2017.
- H. Khani, and M. R. D. Zadeh, “Real-time optimal dispatch and economic viability of cryogenic energy storage exploiting arbitrage opportunities in an electricity market,” IEEE Transactions on Smart Grid, vol. 6, no. 1, pp. 391-401, 2015.
- Y. Ru, J. Kleissl, and S. Martinez, “Storage size determination for grid-connected photovoltaic systems, IEEE Transactions on Sustainable Energy, vol. 4, no. 1, pp. 68-81, 2013.