scholarly journals Deep Reinforcement Learning-Based Tie-Line Power Adjustment Method for Power System Operation State Calculation

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 156160-156174
Author(s):  
Huating Xu ◽  
Zhihong Yu ◽  
Qingping Zheng ◽  
Jinxiu Hou ◽  
Yawei Wei ◽  
...  
Keyword(s):  
Reinforcement Learning ◽  
Power System ◽  
System Operation ◽  
Power System Operation ◽  
Adjustment Method ◽  
Power Adjustment ◽  
State Calculation ◽  
Tie Line

Issues for Power System Operation for Future Renewable Energy Penetration

2011 ◽  
Vol 131 (8) ◽  
pp. 670-676 ◽  
Author(s):  
Naoto Yorino ◽  
Yutaka Sasaki ◽  
Shoki Fujita ◽  
Yoshifumi Zoka ◽  
Yoshiharu Okumoto
Keyword(s):  
Renewable Energy ◽  
Power System ◽  
System Operation ◽  
Power System Operation

Advanced teaching method for learning power system operation based on load flow simulations

2021 ◽  
Author(s):  
Andrés Honrubia‐Escribano ◽  
Raquel Villena‐Ruiz ◽  
Estefanía Artigao ◽  
Emilio Gómez‐Lázaro ◽  
Ana Morales
Keyword(s):  
Power System ◽  
Teaching Method ◽  
Load Flow ◽  
System Operation ◽  
Power System Operation ◽  
Flow Simulations ◽  
Advanced Teaching

scholarly journals Architectural and functional classification of smart grid solutions

2019 ◽  
Vol 2 (S1) ◽  
Author(s):  
Friederike Wenderoth ◽  
Elisabeth Drayer ◽  
Robert Schmoll ◽  
Michael Niedermeier ◽  
Martin Braun
Keyword(s):  
Smart Grid ◽  
Power Systems ◽  
Power System ◽  
Power Distribution ◽  
Hierarchical Architecture ◽  
Distribution Grid ◽  
Active System ◽  
System Operation ◽  
Power System Operation

Abstract Historically, the power distribution grid was a passive system with limited control capabilities. Due to its increasing digitalization, this paradigm has shifted: the passive architecture of the power system itself, which includes cables, lines, and transformers, is extended by a communication infrastructure to become an active distribution grid. This transformation to an active system results from control capabilities that combine the communication and the physical components of the grid. It aims at optimizing, securing, enhancing, or facilitating the power system operation. The combination of power system, communication, and control capabilities is also referred to as a “smart grid”. A multitude of different architectures exist to realize such integrated systems. They are often labeled with descriptive terms such as “distributed,” “decentralized,” “local,” or “central." However, the actual meaning of these terms varies considerably within the research community.This paper illustrates the conflicting uses of prominent classification terms for the description of smart grid architectures. One source of this inconsistency is that the development of such interconnected systems is not only in the hands of classic power engineering but requires input from neighboring research disciplines such as control theory and automation, information and telecommunication technology, and electronics. This impedes a clear classification of smart grid solutions. Furthermore, this paper proposes a set of well-defined operation architectures specialized for use in power systems. Based on these architectures, this paper defines clear classifiers for the assessment of smart grid solutions. This allows the structural classification and comparison between different smart grid solutions and promotes a mutual understanding between the research disciplines. This paper presents revised parts of Chapters 4.2 and 5.2 of the dissertation of Drayer (Resilient Operation of Distribution Grids with Distributed-Hierarchical Architecture. Energy Management and Power System Operation, vol. 6, 2018).

scholarly journals Erratum to: “Methods for optimization of power system operation modes”

2014 ◽  
Vol 85 (8) ◽  
pp. 541-541 ◽  
Author(s):  
N. A. Belyaev ◽  
N. V. Korovkin ◽  
O. V. Frolov ◽  
V. S. Chudnyi
Keyword(s):  
Power System ◽  
System Operation ◽  
Power System Operation ◽  
Operation Modes
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