Multiobjective Scheduling of Microgrids to Harvest Higher Photovoltaic Energy

Photovoltaics (PVs) and plug-in electric vehicles (PEVs) could instigate voltage violation issues, if not controlled properly. Besides, these components highly contribute to economic efficiency of microgrids (MGs). Being motivated to enhance technical and economic issues, this study develops an energy management system that is able to coordinate voltage control devices, say under-load tap changers (ULTC), PVs, PEV aggregators, and dispatchable distributed generations (DDGs). Active and reactive power provisions of PEVs and DDGs along with voltage control of ULTC lessen the plausible violations. So, higher renewable energy is contributed by PVs and extra monetary saving is reflected. In this manner, augmented Epsilon-constraint method followed with fuzzy decision making is applied to operation cost and voltage deviation minimizations. The proposed approach is formulated as a mixed-integer nonlinear multiobjective problem and tested on a modified IEEE 33-bus medium-voltage MG. Results are discussed in depth.