\u3cp\u3eA two-stage stochastic optimization problem is proposed in order to model a day-ahead market in which energy, as well as active and reactive power reserves are jointly scheduled, in the presence of significant uncertain wind power production. In addition, a second order conic programming based AC power flow formulation is used, in order to take into account the active and reactive power losses while maintaining computational efficiency. The energy providers are compensated both in terms of availability payments for scheduling active power reserves and energy payments for actual reserve deployment. Simulations performed on the IEEE 24-bus system are presented and the impact of reactive power requirements on energy, active power rese...
This paper proposes an energy and reserve joint dispatch model based on a robust optimization approa...
The variability of renewables requires a higher degree of flexibility in power system operation. At ...
The presence of high levels of renewable energy resources (RES) and especially wind power production...
A two-stage stochastic optimization problem is proposed in order to model a day-ahead market in whic...
Wind power producers have recently gained a significant penetration in the electric power network, w...
This work presents a solution method for a day-ahead stochastic reserve scheduling (RS) problem usin...
In this study, a two-stage stochastic programming joint energy and reserve day-ahead market structur...
This chapter introduces several two-stage stochastic programming models in order to procure energy a...
The increasing penetration of wind power generation introduces uncertainty in the behaviour of elect...
\u3cp\u3eThe large-scale integration of wind generation in power systems increases the need for rese...
\u3cp\u3eSystem operators must consider events that cause disturbances in the balance between the ou...
Nowadays renewable energy sources (RES) are growing at a rapid pace, particularly the wind energy. T...
This paper proposes an energy and reserve joint dispatch model based on a robust optimization approa...
The variability of renewables requires a higher degree of flexibility in power system operation. At ...
The presence of high levels of renewable energy resources (RES) and especially wind power production...
A two-stage stochastic optimization problem is proposed in order to model a day-ahead market in whic...
Wind power producers have recently gained a significant penetration in the electric power network, w...
This work presents a solution method for a day-ahead stochastic reserve scheduling (RS) problem usin...
In this study, a two-stage stochastic programming joint energy and reserve day-ahead market structur...
This chapter introduces several two-stage stochastic programming models in order to procure energy a...
The increasing penetration of wind power generation introduces uncertainty in the behaviour of elect...
\u3cp\u3eThe large-scale integration of wind generation in power systems increases the need for rese...
\u3cp\u3eSystem operators must consider events that cause disturbances in the balance between the ou...
Nowadays renewable energy sources (RES) are growing at a rapid pace, particularly the wind energy. T...
This paper proposes an energy and reserve joint dispatch model based on a robust optimization approa...
The variability of renewables requires a higher degree of flexibility in power system operation. At ...
The presence of high levels of renewable energy resources (RES) and especially wind power production...