Two-stage risk-constrained stochastic optimal bidding strategy of virtual power plant considering distributed generation outage

This paper presents an optimal bidding strategy for a technical and commercial virtual power plant (VPP) in medium-term time horizon. A VPP includes various distributed energy resources (DERs) that can participate in the Pool and Futures markets. Although medium/long-term scheduling provides the opportunity to participate in the futures...

The contribution of low-head pumped hydro storage to grid stability in future power systems

The pan-European power grid is experiencing an increasing penetration of Variable Renewable Energy (VRE). The fluctuating and non-dispatchable nature of VRE hinders them in providing the Ancillary Service (AS) needed for the reliability and stability of the grid. Therefore, Energy Storage Systems (ESS) are needed along the VRE. Among the...

Assessing the Operation of Typical Dutch Distribution Systems with Large Penetration of Low-Carbon Energy Technologies

Currently, the majority of the available test feeder models are based on the North American type of distribution systems, leaving an absence of representative feeder models for the European (and Dutch) types of distribution systems. Therefore, a standardized set of power flow models for typical Dutch LV distribution networks is developed using...

Power Scheduling of Fuel Cell Cars in an Islanded Mode Microgrid with Private Driving Patterns

A microgrid in the islanded mode is considered where a fleet of fuel cell cars is used as a distributed power generation system. The objective of the proposed control system is to minimize the operational cost of the system, subject to the physical and operational constraints of the system. In order to deal with uncertainty in the prediction...

Adaptive prediction model accuracy in the control of residential energy resources

With the increasing use of distributed energy resources and intelligence in the electricity infrastructure, the possibilities for minimizing costs of household energy consumption increase. Technology is moving toward a situation in which automated energy management systems could control domestic energy generation, storage, and consumption. In...

Least-cost model predictive control of residential energy resources when applying ?mCHP

With an increasing use of distributed energy resources and intelligence in the electricity infrastructure, the possibilities for minimizing costs of household energy consumption increase. Technology is moving toward a situation in which households manage their own energy generation and consumption, possibly in cooperation with each other. As a...