CONGESTION MANAGEMENT AND LOOP FLOW CONTROL BY TRANSMISSION NETWORK RECONFIGURATION

2010 ◽  
Vol 30 (3) ◽  
Author(s):  
Gianpietro Granelli ◽  
Paolo Marannino ◽  
Mario Montagna ◽  
Mario Innorta
Keyword(s):  
Flow Control ◽  
Congestion Management ◽  
Transmission Network ◽  
Network Reconfiguration

Optimal Power Flow Control on Power System Transmission Network using UPFC

2016 ◽  
Vol 33 (3) ◽  
pp. 118-125
Author(s):  
France O Akpojedje ◽  
◽  
Abel O Olomo ◽  
Emmanuel C. Mormah ◽  
Ese M Okah
Keyword(s):  
Power System ◽  
Flow Control ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Transmission Network ◽  
Power Flow Control ◽  
Optimal Power

scholarly journals Congestion Management of Microgrids With Renewable Energy Resources and Energy Storage Systems

2021 ◽  
Vol 9 ◽  
Author(s):  
Yaling Chen ◽  
Yinpeng Liu
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Programming Model ◽  
Congestion Management ◽  
Heat Pumps ◽  
Energy Resources ◽  
Mixed Integer ◽  
Network Reconfiguration ◽  
Renewable Energy Resources ◽  
Reliable Operation

With the increasing share of renewable energy resources in the microgrid, the microgrid faces more and more challenges in its reliable operation. One major challenge is the potential congestion caused by the uncoordinated operation of flexible demands such as heat pumps and the high penetration of renewable energy resources such as photovoltaics. Therefore, it is important to conduct microgrid energy management to ensure its reliable operation. The energy storage system (ESS) scheduling as an efficient means to alleviate congestion has been widely used. However, in the existing literature, the ESSs are usually scheduled by the microgrid system operator (MSO) in a direct control manner, which is impractical in the case where customers own ESSs and are willing to schedule ESSs by themselves. To resolve this issue, this study proposes a network reconfiguration integrated dynamic tariff–subsidy (DTS) congestion management method to utilize ESSs and network reconfiguration to alleviate congestion in microgrids caused by renewable energy resources and flexible demands. In the proposed method, the MSO controls sectionalization switches while customers or aggregators schedule ESSs in response to DTS to alleviate congestion. The DTS calculation model is formulated as a mixed-integer linear programming model, considering heat pumps (HPs), ESSs, and reconfigurable microgrid topology. The numerical results demonstrate that the proposed method can effectively use ESSs and network topology to alleviate congestion and the MSO does not need to take over the scheduling of the ESS.

Optimal network reconfiguration for congestion management by deterministic and genetic algorithms

2006 ◽  
Vol 76 (6-7) ◽  
pp. 549-556 ◽  
Author(s):  
G. Granelli ◽  
M. Montagna ◽  
F. Zanellini ◽  
P. Bresesti ◽  
R. Vailati ◽  
...  
Keyword(s):  
Genetic Algorithms ◽  
Congestion Management ◽  
Network Reconfiguration ◽  
Optimal Network
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