Long term nuclear scheduling in the French power system

1982 ◽  
pp. 630-639 ◽  
Author(s):  
P. Colleter ◽  
P. Lederer ◽  
J. Ortmans
Keyword(s):  
Power System

ROBUST INTERVAL-BASED MINIMAX-REGRET ANALYSIS METHOD FOR FILTER MANAGEMENT OF FLUID POWER SYSTEM

2013 ◽  
Vol 30 (06) ◽  
pp. 1350021
Author(s):  
SONGLIN NIE ◽  
HUI JI ◽  
YEQING HUANG ◽  
ZHEN HU ◽  
YONGPING LI
Keyword(s):  
Power System ◽  
Optimal Strategies ◽  
Decision Makers ◽  
Fluid Power ◽  
Maintenance Cost ◽  
Minimax Regret ◽  
Fluid Power System ◽  
System Maintenance ◽  
Management Alternatives

Fluid contamination is one of the main reasons for the wear failure and the related downtime in a hydraulic power system. Filters play an important role in controlling the contamination effectively, increasing the reliability of the system, and maintaining the system economically. Due to the uncertainties of system parameters, the complicated relationship among components, as well as the lack of effective approach, managing filters is becoming one of the biggest challenges for engineers and decision makers. In this study, a robust interval-based minimax-regret analysis (RIMA) method is developed for the filter management in a fluid power system (FPS) under uncertainty. The RIMA method can handle the uncertainties existed in contaminant ingressions of the system and contaminant holding capacity of filters without making assumption on probabilistic distributions for random variables. Through analyzing the system cost of all possible filter management alternatives, an interval element regret matrix can be obtained, which enables decision makers to identify the optimal filter management strategy under uncertainty. The results of a case study indicate that the reasonable solutions generated can help decision makers understand the consequence of short-term and long-term decisions, identify optimal strategies for filter allocation and selection with minimized system-maintenance cost and system-failure risk.

Estimating the adequacy revenue considering long-term reliability in a renewable power system

Energy ◽  
2021 ◽  
pp. 123022
Author(s):  
Renato Haddad Simões Machado ◽  
Erik Eduardo Rego ◽  
Miguel Edgar Morales Udaeta ◽  
Viviane Tavares Nascimento
Keyword(s):  
Power System ◽  
Renewable Power

A comprehensive long term dynamic simulation for power system recovery

1994 ◽  
Vol 9 (3) ◽  
pp. 1427-1433 ◽  
Author(s):  
I. Roytelman ◽  
S.M. Shahidehpour
Keyword(s):  
Power System ◽  
Dynamic Simulation
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