Low Probability Tail Event Analysis and Mitigation in the BPA Control Area

Autor:	Shuai Lu, Alan J. Brothers, Craig A. McKinstry, Shuangshuang Jin, Yuri V. Makarov
Rok vydání:	2010
Předmět:	Decision support system Engineering Electric power system Wind power business.industry Control area Bayesian network Electric power Transmission system operator business Event analysis Reliability engineering
DOI:	10.2172/1012895
Popis:	This report investigated the uncertainties with the operations of the power system and their contributions to tail events, especially under high penetration of wind. A Bayesian network model is established to quantify the impact of these uncertainties on system imbalance. The framework is presented for a decision support tool, which can help system operators better estimate the need for balancing reserves and prepare for tail events.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::0101cb4afbff0b56dd6ae5c0f929fbc7 https://doi.org/10.2172/1012895 Zobrazit plný text záznamu