The stochastic nature of wind alters the unit commitment and dispatch problem. By accounting for this uncertainty when scheduling the system, more robust schedules are produced, which should, on average, reduce expected costs. In this paper, the effects of stochastic wind and load on the unit commitment and dispatch of power systems with high levels of wind power are examined. By comparing the costs, planned operation and performance of the schedules produced, it is shown that stochastic optimization results in less costly, of the order of 0.25%, and better performing schedules than deterministic optimization. The impact of planning the system more frequently to account for updated wind and load forecasts is then examined. More frequent pla...
Wind power intervals with different confidence levels have an impact on both the economic cost and r...
Thesis (Ph.D.)--University of Washington, 2013Large amounts of wind generation have been added to th...
The cost of balancing supply and demand will increase as power systems are decarbonised, because th...
The stochastic nature of wind alters the unit commitment and dispatch problem. By accounting for thi...
Abstract—The impact of wind power forecasting on unit commitment and dispatch is investigated in thi...
The cost of balancing supply and demand will increase as power systems are decarbonised, because the...
In recent years, high penetration of variable generating sources, such as wind power, has challenged...
A stochastic mixed integer linear optimization scheduling model minimizing system operation costs an...
Limited transmission capacity may lead to wind curtailment during periods of high availability of wi...
International audienceDecision making regarding the operation of renewable-integrated power systems ...
In this paper we present a unit commitment model for studying the impact of large-scale wind integra...
This paper presents a stochastic cost model and a solution technique for optimal scheduling of the g...
In this paper, a two-stage stochastic unit commitment (UC) model considering flexible scheduling of ...
Paper presented at IEEE Power Tech 2007, 1-5 July, 2007, Lausanne, SwitzerlandAs wind power penetr...
© 2015 Elsevier Ltd. Limited transmission capacity may lead to network congestion which results in w...
Wind power intervals with different confidence levels have an impact on both the economic cost and r...
Thesis (Ph.D.)--University of Washington, 2013Large amounts of wind generation have been added to th...
The cost of balancing supply and demand will increase as power systems are decarbonised, because th...
The stochastic nature of wind alters the unit commitment and dispatch problem. By accounting for thi...
Abstract—The impact of wind power forecasting on unit commitment and dispatch is investigated in thi...
The cost of balancing supply and demand will increase as power systems are decarbonised, because the...
In recent years, high penetration of variable generating sources, such as wind power, has challenged...
A stochastic mixed integer linear optimization scheduling model minimizing system operation costs an...
Limited transmission capacity may lead to wind curtailment during periods of high availability of wi...
International audienceDecision making regarding the operation of renewable-integrated power systems ...
In this paper we present a unit commitment model for studying the impact of large-scale wind integra...
This paper presents a stochastic cost model and a solution technique for optimal scheduling of the g...
In this paper, a two-stage stochastic unit commitment (UC) model considering flexible scheduling of ...
Paper presented at IEEE Power Tech 2007, 1-5 July, 2007, Lausanne, SwitzerlandAs wind power penetr...
© 2015 Elsevier Ltd. Limited transmission capacity may lead to network congestion which results in w...
Wind power intervals with different confidence levels have an impact on both the economic cost and r...
Thesis (Ph.D.)--University of Washington, 2013Large amounts of wind generation have been added to th...
The cost of balancing supply and demand will increase as power systems are decarbonised, because th...