학술논문

Short-Term Reliability Evaluation of Composite Power Systems in the Presence of DR Programs
Document Type
Conference
Source
2022 17th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) Probabilistic Methods Applied to Power Systems (PMAPS), 2022 17th International Conference on. :1-6 Jun, 2022
Subject
Power, Energy and Industry Applications
Renewable energy sources
Uncertainty
Probabilistic logic
Demand response
Power system reliability
Planning
Complexity theory
demand response
Monte Carlo methods
power system reliability
smart grids
Language
ISSN
2642-6757
Abstract
Demand response (DR) programs are getting more attention due to their many advantages for the operation and reliability of power systems. Evaluating the short-term impacts of supplementary resources, like DR, on system reliability is crucial in power system operation planning, as it can assist system operators in managing remedial resources and effectively establishing operational plans. However, short-term reliability assessment requires particular considerations, not usually included in conventional approaches. In the short term, the failure probability of system components depends on time and the initial states. Considering DR programs adds another layer of complexity to this problem due to their operational and management requirements. This paper discusses the distinctions between conventional and short-term reliability evaluations and proposes an algorithm for operating reliability assessments. The results indicate that taking a short-term view of system reliability might result in more realistic evaluations of system reliability and hence more robust planning of remedial resources.