is an open access repository that collects the work of Arts et Métiers ParisTech researchers and makes it freely available over the web where possible. Any correspondence concerning this service should be sent to the repository Administrator : archiveouverte@ensam.eu 1 Abstract-The development of energy management tools for consumers and next generation PV installations, including storage units, provides flexibility to distribution system operators. In this paper the aggregation and implementation of this new energy management method for business customers in a microgrid power system is presented. The proposed energy management system is organized according to different functions and is implemented in two parts: a central energy management of the microgrid and a local power management at the customer side. The central and local management systems exchange data and orders through a communication network. The power planning is designed according to the prediction for PV power production and the load forecasting by taking into account the capabilities of dispatched customers. According to received grid power references, additional functions are also designed to manage locally the power flows between the various sources. Application to the case of a hybrid supercapacitor battery based PV active generator is presented.

In order to take full advantage of distributed generators, an evolution of the classical power system organization and management is also necessary. An aggregator of a residential urban electrical network can be considered by the Distribution System Operator as a stakeholder, which is able to control a cluster of local generators and loads with technical constraints for the connection with the remaining distribution grid and commercial contracts with outer electrical producers. This paper is focused on the design of the Microgrid Central Energy Management System which relies on a day ahead operational planning and an online adjustment procedure during the operation. A dynamic programming based algorithm is derived to solve the Unit Commitment Problem with a multiobjective function in order to reduce the economic cost and CO 2 equivalent emissions. The proposed energy management system is implemented into a SCADA and tested by using a hardware-in-the-loop simulation of the urban network. Economic and environmental gains are evaluated.

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