Power Flow Approach for Modeling Shipboard Power System in Presence of Energy Storage and Energy Management Systems

2020 ◽  
Vol 35 (4) ◽  
pp. 1944-1953
Author(s):  
Flavio Balsamo ◽  
Pasquale De Falco ◽  
Fabio Mottola ◽  
Mario Pagano
Keyword(s):  
Energy Storage ◽  
Power System ◽  
Energy Management ◽  
Power Flow ◽  
Management Systems ◽  
Energy Management Systems ◽  
Shipboard Power System ◽  
Shipboard Power

Analysis of robustness for shipboard power system with non-radial power flow

2011 ◽  
Author(s):  
Sayak Bose ◽  
Bala Natarajan ◽  
Caterina Scoglio ◽  
Sanjoy Das ◽  
Noel N. Schulz
Keyword(s):  
Power System ◽  
Power Flow ◽  
Shipboard Power System ◽  
Shipboard Power

scholarly journals The Optimization of Microgrids Operation through a Heuristic Energy Management Algorithm

2013 ◽  
Vol 8-9 ◽  
pp. 185-194 ◽  
Author(s):  
Bogdan Tomoiaga ◽  
Mircea D. Chindris ◽  
Andreas Sumper ◽  
Mousa Marzband
Keyword(s):  
Energy Storage ◽  
Energy Management ◽  
Unit Commitment ◽  
Storage Systems ◽  
Storage System ◽  
Management Systems ◽  
Time Interval ◽  
Management Problem ◽  
Energy Storage Systems ◽  
Energy Management Systems

The concept of microgrid was first introduced in 2001 as a solution for reliable integration of distributed generation and for harnessing their multiple advantages. Specific control and energy management systems must be designed for the microgrid operation in order to ensure reliable, secure and economical operation; either in grid-connected or stand-alone operating mode. The problem of energy management in microgrids consists of finding the optimal or near optimal unit commitment and dispatch of the available sources and energy storage systems so that certain selected criteria are achieved. In most cases, energy management problem do not satisfy the Bellman's principle of optimality because of the energy storage systems. Consequently, in this paper, an original fast heuristic algorithm for the energy management on stand-alone microgrids, which avoids wastage of the existing renewable potential at each time interval, is presented. A typical test microgrid has been analysed in order to demonstrate the accuracy and the promptness of the proposed algorithm. The obtained cost of energy is low (the quality of the solution is high), the primary adjustment reserve is correspondingly assured by the energy storage system and the execution runtime is very short (a fast algorithm). Furthermore, the proposed algorithm can be used for real-time energy management systems.

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