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Energy storage devices (ESS) and distributed generations are integrated or characterized with the help of distribution networks (ADNs). Micro grids (MGs) are ADNs but they can also operate in stand-al...one mode. Micro grid provides redress to several factors in the power quality systems by integrating renewable and non-renewable Distributed Energy Resources along with Energy Storage Systems. A robust optimization framework for economic dispatch (ED) for such a micro grid is proposed in this paper. In this paper, modified IEEE 24 bus model of mess distribution including energy resources that are intermittent such as photovoltaic (PV) energy source, wind turbines, include conventional diesel generators, battery energy storage (BES) systems are essential components of hybrid energy systems. PV units convert sunlight into electricity while wind turbines harness power from the wind systems store excess energy generated has been considered to implement the proposed optimized algorithm. In this technique, micro grid is heavily loaded or operated in islanded mode to realize that the local generation and Because of the penetration of distributed energy resources, system operators can meet this high demand for heavy loads with no need to purchase additional power from the grid. A time varying voltage dependent load model has been considered for obtaining the optimal economic dispatch for an IEEE test system. The impacts of Battery energy and distributed energy system penetration has also been considered. The voltage deviation is minimized while taking the technical constraints of alternate current optimal power flow (OPF) into account. In addition, the paper also considers conservation voltage reduction (CVR) with the aim to optimally schedule reactive power from inverters for voltage regulation support and BES’s charging/discharging. The problem is solved under different scenarios and examined within a 24 hour (h) time horizon. The results are obtained for different scenarios and discussed to reflect the effectiveness and efficiency of the proposed optimization technique.続きを見る
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Mendeley出力
p2325-2338