CUED Publications database

A clusterized energy management with linearized losses in the presence of multiple types of distributed generation

Rigo-Mariani, R and Ling, KV and Maciejowski, J (2019) A clusterized energy management with linearized losses in the presence of multiple types of distributed generation. International Journal of Electrical Power and Energy Systems, 113. pp. 9-22. ISSN 0142-0615

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Abstract

© 2019 Elsevier Ltd This paper presents an optimal management (OM) strategy for distributed generation (DG) planning studies. The objective is the reduction of the CO2 emissions for the power generation on Jurong Island in Singapore. Different DG resources are investigated with solar panels, energy storage units, small gas turbines as well as controllable loads in addition to the centralized generation already in site. Each of those resources is modeled in an optimal scheduling procedure that furtherly allows to test several DG configurations (i.e. different types/sizes/sites) with regards to the CO2 emissions. The paper mainly focuses on the implementation of the OM and the main challenge is to avoid prohibitive computational times, which is tackled thanks to two approaches. At first, a linearization of the line losses with a modified DC power flow is considered while optimizing the system management over a representative day. A generic clustering method is then developed along with a sequential optimal management (S-OM) lying on both nodal and zonal representations of the electrical network. Different validation tests are performed as well as sets of simulations with several DG configurations. The optimal DG planning procedure itself is not in the scope of that paper and will be part of further developments.

Item Type: Article
Subjects: UNSPECIFIED
Divisions: Div F > Control
Depositing User: Cron Job
Date Deposited: 27 May 2019 20:05
Last Modified: 12 Dec 2019 02:02
DOI: 10.1016/j.ijepes.2019.04.049