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This paper presents a new algorithm to solve economic dispatch (ED) as an optimization problem in power systems. A simple iterated-based algorithm has been developed. It starts with a guess and converges to the optimal point in such a way that the total generation cost of a microgrid is minimized. Since microgrid is considered as a lossless small network, the algorithm is supposed to solve the lossless economic dispatch problem. The proposed method applied on a microgrid consisting of three distributed energy resources (DERs) with convex type of cost functions. The problem was also solved by CPLEX solver as a quadratic programming problem (QP) and the obtained results of proposed algorithm were compared with its results. The comparison confirmed the capability of proposed method to solve ED problem since it was easy to implement with acceptable speed and accuracy.

Distributed generation (DG) systems have many impacts on the power network. Previously, the power was supplied from the centralized generating unit and then dispatched to the loads, but today DG systems provide electrical power at the customers' sites and slightly decline the losses due to either transmission or distribution of the electricity. Furthermore, DG systems are able to reduce the emission of fossil fuel pollutants, maintenance costs and improve the voltage profile. Indeed, the aim of this paper is to qualify the effects of the photovoltaic DG (PV-DG) system interconnection on the voltage profile and power losses over a sample power grid located in Peninsular Malaysia for three load pattern categories such as residential, commercial and industrial. Moreover, the solar radiation data associated with a typical location in Malaysia would be extracted from the web, and then the impacts of PV-DG are supposed to be investigated based on the PV output power variations during a day. Finally, the resulted voltage profiles and power dissipations would be compared for before and after the PV-DG installation in different locations of distribution feeders.