Demand response (DR) as a source of flexibility is considered to become increasingly important in power systems based on renewable energy sources (RES), which are characterised by increasingly distributed, volatile and uncertain supply. We explore the impact of DR on generator investments and profits from different markets, on costs for different consumers from different markets, and on CO2 emissions under consideration of the uncertainties associated with the RES generation. We develop a novel stochastic mixed complementarity model in this paper that considers both operational and investment decisions, that considers interactions between an energy market, a capacity market and a feed-in premium and that takes into account the stochasticity...
Demand response is capable of providing multiple services, including energy and reserve. As a conseq...
In addition to its adverse impacts on power system operations, the large-scale integration of renewa...
Former generation capacity expansion models were formulated as optimization problems. These included...
Power systems based on renewable energy sources (RES) are characterised by increasingly distributed,...
As a result of government policies increasing the amount of electricity generated from fluctuating r...
Demand Response is capable of reducing the total amount of generation capacity investment required t...
We present a novel method of determining the contribution of load-shifting Demand Response (DR) to e...
Market power is a dominant feature of many modern electricity markets with an oligopolistic structur...
AbstractSmart grid enables the integration of large-scale renewable energy resources (RERs) into the...
This paper optimizes the price-based demand response of a large customer in a power system with stoc...
This paper extensively models the interactions of emerging players in future power systems to analyz...
Demand response (DR) can provide a costeffectiveness approach for reducing peak load while renewable...
Demand response (DR) can provide a cost-effectiveness approach for reducing peak load while renewabl...
We present a novel method of determining the contribution of load-shifting Demand Response (DR) to e...
To ensure security of supply and incentivize reliable investment in generation capacity, capacity ma...
Demand response is capable of providing multiple services, including energy and reserve. As a conseq...
In addition to its adverse impacts on power system operations, the large-scale integration of renewa...
Former generation capacity expansion models were formulated as optimization problems. These included...
Power systems based on renewable energy sources (RES) are characterised by increasingly distributed,...
As a result of government policies increasing the amount of electricity generated from fluctuating r...
Demand Response is capable of reducing the total amount of generation capacity investment required t...
We present a novel method of determining the contribution of load-shifting Demand Response (DR) to e...
Market power is a dominant feature of many modern electricity markets with an oligopolistic structur...
AbstractSmart grid enables the integration of large-scale renewable energy resources (RERs) into the...
This paper optimizes the price-based demand response of a large customer in a power system with stoc...
This paper extensively models the interactions of emerging players in future power systems to analyz...
Demand response (DR) can provide a costeffectiveness approach for reducing peak load while renewable...
Demand response (DR) can provide a cost-effectiveness approach for reducing peak load while renewabl...
We present a novel method of determining the contribution of load-shifting Demand Response (DR) to e...
To ensure security of supply and incentivize reliable investment in generation capacity, capacity ma...
Demand response is capable of providing multiple services, including energy and reserve. As a conseq...
In addition to its adverse impacts on power system operations, the large-scale integration of renewa...
Former generation capacity expansion models were formulated as optimization problems. These included...