Simulating Operation and Trading of Aggregated Energy Portfolios in Multi-Market Environments

Management of portfolios containing a mix of generation and consumption assets involves a wide range of strategies, encompassing both internal optimizations and market participation. However, the feasible actions during real-time operations depend on several factors, including the state of associated devices, power system demand, and external influences. Our aim with this study is to present a combined technical and market model that simulates potential operational strategies. This model generates time-series data representing energy transactions, revenues, and costs for an aggregator managing diverse assets. The data generated are based on realistic scenarios, reflecting true market pricing conditions and the dynamics of specific sub-markets.