A Clusterized Energy Management with Linearized Losses in the Presence of Multiple Types of Distributed Generation
Résumé
This paper presents an optimal management (OM) strategy for distributed generation (DG) planning whose objective is the CO2 reduction for the power generation on the Jurong Island in Singapore. Different DG resources are investigated with solar generation, energy storage, small gas turbine as well as controllable loads in addition to the centralized generation already in site. Each of those resource is modeled in an optimal scheduling method that allow to test a great number of different DG configurations (i.e. type/size/site). The paper mainly focuses on the OM implementation that would allow avoiding prohibitive computational times. At first it is achieved thanks to a linearization of the line losses and a modified DC power flow. When simulating the system over a representative day. Then a generic clustering method is developed as well as a sequential optimal management (S-OM) with the zonal and nodal models is implemented. Different validation tests are performed as well as sets of simulation with different DG configurations. The optimal DG planning procedure will be part of further developments.
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