Coordinated Operation of Distributed Energy Resources in Renewables Based Microgrids under Uncertainties
In recent years, the share of renewable energy sources (RESs) has been increasing in the electricity generation mix with a mandate to reduce greenhouse gas emissions that are released from burning fossil fuels. Indeed, a large share of electricity from renewable resources is required to de-carbonize the electricity sector. With the evolution of smart grids and microgrids, effective and efficient penetration of renewable generation such as wind and solar can possibly be attained. However, the intermittent nature of RESs makes microgrid operation and planning a complex problem and there is a need for a flexible grid to cope with the variability and uncertainty in their generation profiles. This research focuses on the coordination of distributed energy resources, such as energy storage systems (ESSs) and demand response (DR) to present an efficient solution towards improving the flexibility of microgrids, and supporting high levels of renewables penetration.
The overall goal of this research is to examine the influence of coordinated operation of ESS and DR on microgrid operations in the presence of high renewable generation. Deterministic and stochastic short-term operational planning models are developed to analyze the effects of coordinating ESS and DR, vis-à-vis their independent operation, on microgrids with high renewable penetration. Special focus is on operation costs, scheduling and dispatching of controllable distributed generators, and levels of renewable generation. A set of valid probabilistic scenarios is considered for the uncertainties of load, and intermittency in wind and solar generation sources.
The numerical results for a benchmark micorgrid indicate that coordinated operation of ESS and DR is beneficial in terms of operation costs, with respect to operating them independently, only with availability of sufficient excess renewable generation. Nevertheless, this combination reduces the risk in scheduling problem, and increases the flexibility of the microgrid to support high levels of renewable penetration than currently possible.