Risk‐based medium‐term trading strategy for a virtual power plant with first‐order stochastic dominance constraints

摘要: Distribution systems of the future will definitely encompass numerous distributed energy resources, and thereby, physical connection commercial contribution among virtual power plants (VPPs) be inevitable. Accordingly, this study proposes a methodology to address trading strategies VPP in cooperation with its neighbouring VPPs. This is modelled based on some available cross-regional contracts problem faced by how determine bilateral contracting portfolio. To end, decision-making framework for medium-term self-scheduling aim exercising arbitrage between two different floors, i.e. electricity market, presented. Moreover, an efficient risk management approach concept first-order stochastic dominance constraints used enable informed decision making under levels uncertainty. The resulting model formulated as mixed-integer linear programming that can solved using off-the-shelf software packages. efficiency proposed analysed through detailed case study, finally relevant conclusions are duly drawn.