Authors:
Yerzhigit Bapin
1
and
Vasileios Zarikas
2
Affiliations:
1
School of Engineering, Nazarbayev University, 56 Kabanbay Batyr ave., Astana and Kazakhstan
;
2
School of Engineering, Nazarbayev University, 56 Kabanbay Batyr ave., Astana, Kazakhstan, Department of Engineering Informatics, University of Thessaly and Greece
Keyword(s):
Spinning Reserve, Interconnected Power Systems, Bayesian Network, Probabilistic Reserve Estimation, Power System Reliability.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Bayesian Networks
;
Enterprise Information Systems
;
Hybrid Intelligent Systems
;
Soft Computing
Abstract:
This study proposes a new stochastic spinning reserve estimation model applicable to multi-connected energy systems with reserve rescheduling algorithm based on Bayesian Networks. The general structure of the model is developed based on the probabilistic reserve estimation model that considers random generator outages as well as load and renewable energy forecast errors. The novelty of the present work concerns the additional Bayesian layer which is linked to the general model. It conducts reserve rescheduling based on the actual net demand realization and other reserve requirements. The results show that the proposed model improves estimation of reserve requirements by reducing the total cost of the system associated with reserve schedule.