Fastened Unit Commitment with Loss Linearization for Distributed Generation Planning Studies

This paper presents an energy management strategy whose objective is the reduction of CO
₂
emissions of the power system on Jurong Island in Singapore. Distributed Generation (DG), with solar generation, energy storage, small gas turbine as well as controllable loads, is investigated. Such a procedure aims at being integrated in an optimal planning problem to find the best DG configuration and should then correspond to reasonable computational time. Thus a Mixed integer linear programming (MILP) technique is considered for the system simulated over a representative day. A specific attention is attached to the branch losses estimation with a modified DC power flow (DCPF). At first the method is tested for the base case scenario before investigating different configurations for the DG assets. Results are analyzed in terms of carbon emissions and grid losses.