O3 -Microgrid flexibility optimization models

INTELLIGENT ENERGY MANAGEMENT SYSTEMS

MICROGRIDS

OPTIMIZATION MODELS

Goal

The objective of this work package is to develop optimization models and analytical frameworks for the efficient integration and utilization of flexibility resources within microgrids and distribution networks. The focus will be on flexibility sources such as Battery Energy Storage Systems (BESS), Electric Vehicles with Vehicle-to-Grid capability (EV/V2G), and controllable loads, both individually and in aggregated form.

The goal is to enable optimal operation of these resources in order to improve system efficiency, reliability, and the capacity of the network to integrate higher shares of renewable energy sources (RES). By incorporating the flexibility potential of distributed resources into network-level optimization and operational planning, the project aims to support better management of power flows, reduction of congestion, and improved voltage and frequency stability.

Methods

To achieve this objective, the project will develop optimization models, flexibility assessment tools, and market integration analyses.

First, flexibility-aware network optimization models will be formulated and implemented. These models will extend existing power system optimization approaches by incorporating the aggregated flexibility envelopes of distributed resources derived in previous work packages. The models will account for operational constraints of BESS, EV/V2G systems, and controllable loads while addressing computational challenges associated with large-scale or highly distributed systems.

The project will also analyze the interaction between flexibility resources and electricity markets. Different mechanisms for participation in energy and ancillary service markets will be evaluated, including potential roles for aggregators and distributed resource operators. The analysis will assess the economic value of flexibility services and identify potential barriers and opportunities for market participation in future smart energy systems.

Microgrid flexibility optimization models