Classifying and modelling demand response in power systems

Demand response (DR) is expected to play a major role in integrating large shares of variable renewable energy (VRE) sources power systems. For example, DR can increase or decrease consumption depending on the VRE availability, and use generating network assets more efficiently. Detailed models are usually very complex, hence, unsuitable for large-scale models, where simplicity linearity key elements keep reasonable computational performance. In contrast, aggregated too simplistic therefore conclusions derived from them may be misleading. This paper focuses classifying modelling models. The first part classifies different services, provides an overview benefits challenges. second presents mathematical formulations types ranging curtailment ideal shifting, shifting including saturation immediate load recovery. Here, we suggest collection linear constraints that appropriate systems integrated system but sufficiently sophisticated capture effects system. We also propose mixed-integer programming formulation guarantees recovery, its relaxation better approximates exact solution compared with previous