In this paper, we present an optimal capacity decision model for energy storage systems (ESSs) in combined operation with wind energy in power systems. We use a two-stage stochastic programming approach to take into account both wind and load uncertainties. The planning problem is formulated as an AC optimal power flow (OPF) model with the objective of minimizing ESS installation cost and system operation cost. Stochastic wind and load inputs for the model are generated from historical data using clustering technique. The model is tested on the IEEE 39-bus system
An increased penetration of renewable energy into the electric power grid is desirable from an envir...
Wind energy is intermittent in nature because it introduces random fluctuations in wind power which ...
In this work, we present a stochastic mixed-integer programming model to optimize the sizes of two d...
In this paper, we present an optimal capacity decision model for energy storage systems (ESSs) in co...
Due to the rapid growth in the amount of wind energy connected to distribution grids, they are expos...
Due to the rapid growth in the amount of wind energy connected to distribution grids, they are expos...
In this dissertation, we propose new operational and planning methodologies for power systems with r...
Renewable energy, especially wind, photovoltaic technologies and battery energy storage (BES) have b...
A majority of remote power systems are going to be supplied by diesel-renewable resources such as wi...
A majority of remote power systems are going to be supplied by diesel-renewable resources such as wi...
Energy storage systems (ESSs) is an emerging technology that enables increased and effective penetra...
This study identifies the optimal management policy of a given energy storage system (ESS) installed...
Utility-scale Energy Storage Systems (ESSs) are increasingly employed with the rapid integration of ...
Thesis (Ph.D.)--University of Washington, 2017-06With environmentally oriented energy policies, wind...
Thesis (Ph.D.)--University of Washington, 2018The increase in renewable power generation has greatly...
An increased penetration of renewable energy into the electric power grid is desirable from an envir...
Wind energy is intermittent in nature because it introduces random fluctuations in wind power which ...
In this work, we present a stochastic mixed-integer programming model to optimize the sizes of two d...
In this paper, we present an optimal capacity decision model for energy storage systems (ESSs) in co...
Due to the rapid growth in the amount of wind energy connected to distribution grids, they are expos...
Due to the rapid growth in the amount of wind energy connected to distribution grids, they are expos...
In this dissertation, we propose new operational and planning methodologies for power systems with r...
Renewable energy, especially wind, photovoltaic technologies and battery energy storage (BES) have b...
A majority of remote power systems are going to be supplied by diesel-renewable resources such as wi...
A majority of remote power systems are going to be supplied by diesel-renewable resources such as wi...
Energy storage systems (ESSs) is an emerging technology that enables increased and effective penetra...
This study identifies the optimal management policy of a given energy storage system (ESS) installed...
Utility-scale Energy Storage Systems (ESSs) are increasingly employed with the rapid integration of ...
Thesis (Ph.D.)--University of Washington, 2017-06With environmentally oriented energy policies, wind...
Thesis (Ph.D.)--University of Washington, 2018The increase in renewable power generation has greatly...
An increased penetration of renewable energy into the electric power grid is desirable from an envir...
Wind energy is intermittent in nature because it introduces random fluctuations in wind power which ...
In this work, we present a stochastic mixed-integer programming model to optimize the sizes of two d...