We present a novel method of determining the contribution of load-shifting Demand Response (DR) to energy and reserve markets. We model DR in an Mixed Complementarity Problem (MCP) framework with high levels of wind penetration. Investment, exit and operational decisions are optimized simultaneously. We examine the potential for DR to participate in both energy and reserve markets. DR participation in the energy market reduces costs and prices and gives rise to lower equilibrium levels of investment in conventional generation. DR and wind generation are strongly complementary, due to the ability of DR to mitigate against the variability of wind generation, with the highest reduction of consumer costs seen at high levels of wind penetration....
Demand response (DR) can play an important role when dealing with the increasing variability of rene...
Electricity demand varies over the course of a day or a year, with very high levels of electricity d...
Planning models have been used for many years to optimize generation investments in electric power s...
We present a novel method of determining the contribution of load-shifting Demand Response (DR) to e...
We present a novel method of determining the contribution of load-shifting Demand Response (DR) to e...
Demand Response is capable of reducing the total amount of generation capacity investment required t...
Concerns over climate change have led to an increase in renewable energy usage, particularly in the ...
Demand Response (DR) is capable of reducing the need for generation capacity investments in order to...
peer-reviewedAs part of a European Union climate change and energy package that aims to reduce gree...
Demand response is capable of providing multiple services, including energy and reserve. As a conseq...
The ever-increasing penetration of renewable energy resources (RERs), specifically wind power genera...
Demand response (DR) as a source of flexibility is considered to become increasingly important in po...
A linear complementarity model is extended with volume-shifting demand response. The model is an equ...
This paper discusses the potential of demand-side response to balance demand and supply, facilitatin...
Planning models have been used for many years to optimize generation investments in electric power s...
Demand response (DR) can play an important role when dealing with the increasing variability of rene...
Electricity demand varies over the course of a day or a year, with very high levels of electricity d...
Planning models have been used for many years to optimize generation investments in electric power s...
We present a novel method of determining the contribution of load-shifting Demand Response (DR) to e...
We present a novel method of determining the contribution of load-shifting Demand Response (DR) to e...
Demand Response is capable of reducing the total amount of generation capacity investment required t...
Concerns over climate change have led to an increase in renewable energy usage, particularly in the ...
Demand Response (DR) is capable of reducing the need for generation capacity investments in order to...
peer-reviewedAs part of a European Union climate change and energy package that aims to reduce gree...
Demand response is capable of providing multiple services, including energy and reserve. As a conseq...
The ever-increasing penetration of renewable energy resources (RERs), specifically wind power genera...
Demand response (DR) as a source of flexibility is considered to become increasingly important in po...
A linear complementarity model is extended with volume-shifting demand response. The model is an equ...
This paper discusses the potential of demand-side response to balance demand and supply, facilitatin...
Planning models have been used for many years to optimize generation investments in electric power s...
Demand response (DR) can play an important role when dealing with the increasing variability of rene...
Electricity demand varies over the course of a day or a year, with very high levels of electricity d...
Planning models have been used for many years to optimize generation investments in electric power s...