Bidding strategies for virtual power plants considering CHPs and intermittent renewables

摘要: Abstract Energy efficiency and renewable-energy sources (RES) are fundamental parts of the European energy policy. For this reason, efficient distributed generation technologies such as combined heat power coupled to district heating (CHP–DH) RES based electricity largely promoted. Additionally, flexibility that CHP–DH offers system is seen an option balance intermittent output RES-based generation. This could be done by aggregating CHP DH in a virtual plant (VPP). In framework, present work presents methodology evaluate optimal bidding strategy VPP composed generators. The objective investigate for uses compensate uncertainties regarding market prices. operator nominates its day ahead before actual delivery (D-1). real time, any deviation from day-ahead schedule settled imbalance market. modeled using two stage stochastic programming approach. Three different strategies studied: ‘static’, ‘flexible DA’ RT’. major difference between studied lies dispatch decisions. ‘static’ does not adjust scheduled CHP. Whereas, RT’ differ each other terms information available at moment performing reschedule (second decision). reschedules whole assuming full knowledge scenario, but under uncertainty price. allows position time step depending on price scenarios. results show comparison with strategy, operation profit increase during summer (5900 €/week), intermediate season (2800 €/week) winter (2700 €/week). moderate when compared against total fuel cost these seasons. Better obtained applied. Using larger profits achieved all instance, case amounts 22,600 €/week, approximately 5% cost.