Abstract — In addition to its adverse impacts on power system operations, the large-scale integration of renewable energy sources presents market design challenges as it exacerbates the missing money problem by moving value from energy to capacity markets. Energy-only markets have been touted as a mechanism for alleviating the missing money problem, although demand response is widely recognized as the ultimate solution. In this paper we analyze the benefits of demand response and an energy-only market design on short-term operations and long-term investment, as well as the result of overlapping an energy-only market design in a market with active demand response. We use a multi-stage stochastic program to characterize the real-time and long...
We present a novel method of determining the contribution of load-shifting Demand Response (DR) to e...
\u3cp\u3eThe large-scale integration of wind generation in power systems increases the need for rese...
This chapter introduces several two-stage stochastic programming models in order to procure energy a...
In addition to its adverse impacts on power system operations, the large-scale integration of renewa...
We present a stochastic unit commitment model for assessing the impacts of the large-scale integrati...
Demand Response is capable of reducing the total amount of generation capacity investment required t...
Demand response (DR) as a source of flexibility is considered to become increasingly important in po...
This paper deals with wind power offering strategies in day-ahead markets. A new plan is proposed in...
Abstract—We present a stochastic unit commitment model for assessing the reserve requirements result...
Power systems based on renewable energy sources (RES) are characterised by increasingly distributed,...
This paper provides results from an integrated model for short-term electricity markets, including d...
The large-scale integration of renewable energy sources is advancing rapidly in numerous power syste...
To ensure security of supply and incentivize reliable investment in generation capacity, capacity ma...
In this study, a new market model is proposed to enable the smooth integration of distributed energy...
This paper optimizes the price-based demand response of a large customer in a power system with stoc...
We present a novel method of determining the contribution of load-shifting Demand Response (DR) to e...
\u3cp\u3eThe large-scale integration of wind generation in power systems increases the need for rese...
This chapter introduces several two-stage stochastic programming models in order to procure energy a...
In addition to its adverse impacts on power system operations, the large-scale integration of renewa...
We present a stochastic unit commitment model for assessing the impacts of the large-scale integrati...
Demand Response is capable of reducing the total amount of generation capacity investment required t...
Demand response (DR) as a source of flexibility is considered to become increasingly important in po...
This paper deals with wind power offering strategies in day-ahead markets. A new plan is proposed in...
Abstract—We present a stochastic unit commitment model for assessing the reserve requirements result...
Power systems based on renewable energy sources (RES) are characterised by increasingly distributed,...
This paper provides results from an integrated model for short-term electricity markets, including d...
The large-scale integration of renewable energy sources is advancing rapidly in numerous power syste...
To ensure security of supply and incentivize reliable investment in generation capacity, capacity ma...
In this study, a new market model is proposed to enable the smooth integration of distributed energy...
This paper optimizes the price-based demand response of a large customer in a power system with stoc...
We present a novel method of determining the contribution of load-shifting Demand Response (DR) to e...
\u3cp\u3eThe large-scale integration of wind generation in power systems increases the need for rese...
This chapter introduces several two-stage stochastic programming models in order to procure energy a...