RSE
A A
Login
nome di accesso
password
login
GSE
ITA english

Rapporto RSE 17001381

Synergies between electricity and heat networks: optimization of the operation of a real heat network which provides ancillary services to electrical grid

The present document includes the results of theresearch activity related to district heating, which is mainly focalized on the optimization of the operation of the thermal station of Canavese, with the aim of exploitation of the interesting synergies with electrical network (trading in “day ahead” market of electrical energy).

In the present reference period, the research activity related to district heating was mainly focalized on the optimization of the operation of the thermal station of Canavese: in particular with the aim of exploitation of the interesting synergies with electrical network (trading in “day ahead” market of electrical energy). For this purpose, dedicated control strategies of the heat generators (engines, boilers, heat pumps) were developed and the numerical model, built in the previous reference period, was updated. An economic sub-model has been added, distribution network has been simplified and an interface for an external optimizer has been included. The new model has been successfully validated with experimental data of 2013 and 2014 winter seasons.

The achievable advantages resulting from a synergic operation between district heating network and electrical network have been investigated in two different scenarios with the application of an ad-hoc optimizer. In the first scenario (A), the operator is fully free to participate to the “day before” market for the exchange of electrical energy (buying&selling) and of the natural gas. In the second scenario (B), the buying prices of electrical energy and natural gas are considered fixed according to a long term contract, while the electrical energy produced by cogenerators is sold at a local, variable price. The results show that a significant reduction of annual operating costs could be reached (50% scenario A, 30% scenario B) with a minimum impact for the users of district heating network. It has been observed that the daily activation profiles of the different heat generators in the optimized scenarios result substantially different from the ones of the basic scenario (corresponding to a control strategy with the only aim of users heat demand satisfaction). These differences have been observed both on a yearly scale and on a hourly scale. In both the considered scenarios, the exchange of electrical energy on the grid was always “anti-cyclic” in comparison with the trend of the buying and selling prices of the electrical energy with the results of a positive “stabilizing” effect on the national electrical network.