Scipediacontent: Scipediacontent moved page Draft Content 792669148 to Fernandes et al 2012a

2021-01-28T19:50:22Z

Scipediacontent moved page Draft Content 792669148 to Fernandes et al 2012a

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2021-01-28T19:50:17Z

Created page with " == Abstract == The large penetration of intermittent resources, such as solar and wind generation, involves the use of storage systems in order to improve power system opera..."

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== Abstract ==

The large penetration of intermittent resources, such as solar and wind generation, involves the use of storage systems in order to improve power system operation. Electric Vehicles (EVs) with gridable capability (V2G) can operate as a means for storing energy. This paper proposes an algorithm to be included in a SCADA (Supervisory Control and Data Acquisition) system, which performs an intelligent management of three types of consumers: domestic, commercial and industrial, that includes the joint management of loads and the charge/discharge of EVs batteries. The proposed methodology has been implemented in a SCADA system developed by the authors of this paper – the SCADA House Intelligent Management (SHIM). Any event in the system, such as a Demand Response (DR) event, triggers the use of an optimization algorithm that performs the optimal energy resources scheduling (including loads and EVs), taking into account the priorities of each load defined by the installation users. A case study considering a specific consumer with several loads and EVs is presented in this paper.

== Original document ==

The different versions of the original document can be found in:

* [http://hdl.handle.net/10400.22/1348 http://hdl.handle.net/10400.22/1348]

* [ ]

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Fernandes et al 2012a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 792669148 to Fernandes et al 2012a

Scipediacontent: Created page with " == Abstract == The large penetration of intermittent resources, such as solar and wind generation, involves the use of storage systems in order to improve power system opera..."