The local association of electrical generator including
renewable energies and storage technologies approximately
installed to the client made way for a small-scale power grid
called a microgrid. In certain cases, the random nature of
renewable energy sources, combined with the variable pattern
of demand, results in issues concerning the sustainability and
reliability of the microgrid system. Furthermore, the cost of
the energy coming from conventional sources is considering as
matter to the private consumer due to its high fees. An improved
methodology combining the simplex-based linear programming
with the particle swarm optimisation approach is employed
to implement an integrated power management system. The
energy scheduling is done by assuming the consumption profile
of a smart city. two scenarios of energy management have
been suggested to illustrate the behaviour of cost and gas
emissions for an optimised energy management. The results
showed the reliability of the energy management system using
an improvemed approach in scheduling of the energy flows for
the microgrid producers, limiting the utility’s cost versus an
experiment that had already been done for a similar system using
the identical data. The outcome of the computation identified
the ideal set points of the power generators in a smart city
supplied by a microgrid, while guaranteeing the comfort of the
customers i.e without intermetency in the supply, also, reducing
the emissions of greenhouse gases and providing an optimal
exploitation cost for all smart city users. Morover, the proposed
energy management system gave an inverse relation between
economic and environmental aspects, in fact, a multi-objective
optimization approach is performed as a continuation of the
work proposed in this paperinfo:eu-repo/semantics/publishedVersio
