The efficient development of modern distribution system requires the deployment of flexibility services provided by Distributed Energy Resources, like distributed generation, electric energy storage and demand response. This kind of planning tools have to be risk-based, in order to deal with the high level of uncertainties introduced by these new technologies. Suitable models and methodologies for the consideration of the value at risk associated to each choice are essential to compare innovative and conventional planning solutions. In the paper, Demand Response has been modelled with its possible payback effect and the optimal exploitation of this flexibility service with a predefined confidence (residual risk) has been estimated by means ...
This paper provides a new methodology for assessing the effect on both residential users and distrib...
AbstractClassical deterministic models applied to investment valuation in distribution networks may ...
AbstractThis paper presents a comprehensive framework for the assessment of reliability and risk imp...
The efficient development of modern distribution system requires the deployment of flexibility servi...
The connection of renewable-based distributed generation (DG) in distribution networks has been incr...
This paper presents an innovative instantaneous pricing scheme for optimal operation and improved re...
The paper presents a risk-based distribution network planning procedure to perform a comparison (in ...
The Demand Response Program (DRP) has recently attracted much attention from Independent System Oper...
The integration of renewables is fast-growing, in light of smart grid technology development. As a r...
Technical and financial uncertainties may put distribution system planning at risk. In this paper, a...
The paper constructs a two-level collaborative planning model for incremental distribution network c...
To decarbonize the electric power grid, there have been increased efforts to utilize clean renewable...
In competitive electricity markets with deep concerns for the efficiency level, demand response prog...
The connection of renewable-based distributed generation (DG) in distribution networks has been incr...
In this dissertation, we introduce and study robust optimization models and decomposition algorithms...
This paper provides a new methodology for assessing the effect on both residential users and distrib...
AbstractClassical deterministic models applied to investment valuation in distribution networks may ...
AbstractThis paper presents a comprehensive framework for the assessment of reliability and risk imp...
The efficient development of modern distribution system requires the deployment of flexibility servi...
The connection of renewable-based distributed generation (DG) in distribution networks has been incr...
This paper presents an innovative instantaneous pricing scheme for optimal operation and improved re...
The paper presents a risk-based distribution network planning procedure to perform a comparison (in ...
The Demand Response Program (DRP) has recently attracted much attention from Independent System Oper...
The integration of renewables is fast-growing, in light of smart grid technology development. As a r...
Technical and financial uncertainties may put distribution system planning at risk. In this paper, a...
The paper constructs a two-level collaborative planning model for incremental distribution network c...
To decarbonize the electric power grid, there have been increased efforts to utilize clean renewable...
In competitive electricity markets with deep concerns for the efficiency level, demand response prog...
The connection of renewable-based distributed generation (DG) in distribution networks has been incr...
In this dissertation, we introduce and study robust optimization models and decomposition algorithms...
This paper provides a new methodology for assessing the effect on both residential users and distrib...
AbstractClassical deterministic models applied to investment valuation in distribution networks may ...
AbstractThis paper presents a comprehensive framework for the assessment of reliability and risk imp...