TY - GEN
T1 - Increasing Hosting Capacity of Distribution Networks by Microgrid Reactive Power Management
AU - Nunna, H. S.V.S.Kumar
AU - Azibek, Balzhan
AU - Khamitov, Anvar
AU - Jamwal, Prashant K.
AU - Rathore, Akshay K.
AU - Doolla, Suryanarayana
N1 - Publisher Copyright:
© 2020 IEEE.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/1
Y1 - 2020/1
N2 - The penetration of renewable energy sources is ascending as the efficiency and affordability of renewable generation is rising. The present power systems are not coping with all of the additional generated energy due to the limited hosting capacity (HC). There are several available methods for escalating this characteristic; however, these methods would generally require additional investments. This paper develops a method which implements reactive power of the microgrids in the distribution network to allow more renewable power to be injected into the system. The connection buses of the microgrids to the distribution network will be specified and the absorbed and injected reactive power amounts in the microgrid to increase the HC while taking into account all the security constraints will be determined by the proposed optimization model consisting of the local and global optimization which will use genetic algorithm and dynamic programming, respectively. A 12-bus distribution system with multiple microgrids is to analyze the method.
AB - The penetration of renewable energy sources is ascending as the efficiency and affordability of renewable generation is rising. The present power systems are not coping with all of the additional generated energy due to the limited hosting capacity (HC). There are several available methods for escalating this characteristic; however, these methods would generally require additional investments. This paper develops a method which implements reactive power of the microgrids in the distribution network to allow more renewable power to be injected into the system. The connection buses of the microgrids to the distribution network will be specified and the absorbed and injected reactive power amounts in the microgrid to increase the HC while taking into account all the security constraints will be determined by the proposed optimization model consisting of the local and global optimization which will use genetic algorithm and dynamic programming, respectively. A 12-bus distribution system with multiple microgrids is to analyze the method.
KW - Dynamic programming (DP)
KW - Genetic algorithm (GA)
KW - Hosting capacity (HC)
KW - Microgrid
KW - Reactive power control
UR - http://www.scopus.com/inward/record.url?scp=85084362332&partnerID=8YFLogxK
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U2 - 10.1109/PESGRE45664.2020.9070727
DO - 10.1109/PESGRE45664.2020.9070727
M3 - Conference contribution
AN - SCOPUS:85084362332
T3 - 2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy, PESGRE 2020
BT - 2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy, PESGRE 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy, PESGRE 2020
Y2 - 2 January 2020 through 4 January 2020
ER -