scholarly journals Optimizing Capacities of Distributed Generation and Energy Storage in a Small Autonomous Power System Considering Uncertainty in Renewables

Energies ◽  
2015 ◽  
Vol 8 (4) ◽  
pp. 2473-2492 ◽  
Author(s):  
Ying-Yi Hong ◽  
Yuan-Ming Lai ◽  
Yung-Ruei Chang ◽  
Yih-Der Lee ◽  
Pang-Wei Liu
Keyword(s):  
Energy Storage ◽  
Power System ◽  
Distributed Generation ◽  
Autonomous Power System

Techno-economic analysis of an autonomous power system integrating hydrogen technology as energy storage medium

2011 ◽  
Vol 36 (1) ◽  
pp. 118-124 ◽  
Author(s):  
G. Tzamalis ◽  
E.I. Zoulias ◽  
E. Stamatakis ◽  
E. Varkaraki ◽  
E. Lois ◽  
...  
Keyword(s):  
Energy Storage ◽  
Economic Analysis ◽  
Power System ◽  
Storage Medium ◽  
Hydrogen Technology ◽  
Autonomous Power System

scholarly journals Enhanced Contingency Analysis—A Power System Operator Tool

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 923
Author(s):  
Hrvoje Bulat ◽  
Dubravko Franković ◽  
Saša Vlahinić
Keyword(s):  
Energy Storage ◽  
Power System ◽  
Distributed Generation ◽  
Contingency Analysis ◽  
Load Modeling ◽  
System Operator ◽  
Static Security ◽  
Remedial Action Schemes ◽  
Safe Operating ◽  
Planning And Operation

Contingency analysis (CA) is a well-known function in power system planning and operation. In accordance with CA results, the system operator dispenses information regarding static security of the power system (overloads and/or voltage outside tolerable limits). However, classic CA with remedial action schemes cannot distinguish safe operating regimes from potentially dangerous ones in terms of voltage (in)stability. In fact, voltage instability is considered as one of the major threats leading to power system insecurity. Therefore, in this study an enhanced contingency analysis (ECA) is presented where the classical CA is extended with static voltage analysis based on the modal analysis. The article presents a dedicated methodology for the proposed ECA tool, with special emphasis on the analysis of corrective measures provided by the system operator, intended for enhancing power system security (regulation transformer action, distributed generation and energy storage). Also the influence of the load model was analyzed by simulation and the main conclusions are presented. The study demonstrated the advantages that distributed generation resources and energy storage can provide in the context of voltage stability. Also, the simulations acknowledged the importance of correct load modeling, since over or under estimation of a certain load-type component can result in too optimistic or too pessimistic power system operation limits.

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