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Keywords
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Energy management, MMG based smart distribution network, Network losses, Emission
constraints, Priority list, clean production
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Abstract
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This paper presents a stochastic multi-layer energy management for a multi-microgrid (MMG) based
smart distribution network (SDN). Also, all network constraints have been regarded to evaluate the
effect of the active power loss on the energy management of the entities. Besides, demand response
(DR) programs have been considered in the optimization process, which is one of the features of the
SDN and could be used to manage the consumed power of each individual entity. Furthermore, in
order to contemplate environmental issues, emission constraints for dispatchable generators have been
taken into account. In this procedure, first, each microgrid (MG) performs an energy management to
determine the schedule of its units and the shortage/surplus power. Then using the received data, the
SDN operator (SDNO) prepares a priority list (PL) of units capable of injecting power to the SDN
based on their average cost and capacity. The preparation of the PL entices the investors for using
renewable based generators. Afterwards, it executes a global energy management. In the proposed
approach, scenario based stochastic optimization has been utilized to model the uncertainties of the
renewable energy resources. Finally, simulations using the modified IEEE 33-bus test feeder are done
to demonstrate that how the proposed method encourages each MG for deploying clean productions
as their main generation units. Moreover, the executed results illustrate the changes in the schedules
of the MGs in the case of considering active power loss.
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