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This paper proposes an optimal strategy for a Renewable Energy Communityparticipating in the Italian pay-as-bid ancillary service market. The communityis composed by a group of residential customers sharing a common facilityequipped with a PV power plant and a battery energy storage system. Thisbattery is employed to maximize the community cash flow obtained by theparticipation in the service market. A scenario-based optimization problem isdefined to size the bids to be submitted to the market and to define thecorresponding optimal battery energy exchange profile for the day ahead. Theproposed optimization scheme is able to take in to account the probability ofacceptance of the service market bids and the uncertainties on the forecasts ofPV generation and energy demands. Results prove the effectiveness of theapproach and the economic advantages on participating in the service market.

Day-Ahead Programming of Energy Communities Participating in Pay-as-Bid Service Markets