Risk-oriented energy management strategy for electric vehicle fleets in hybrid AC-DC microgrids

Electric Vehicle Fleets (EVFs) will play a significant role in the near future transportation systems due to their environmental friendliness. However, they bring technical and economic challenges for distribution system operators (DSO), such as voltage problems and high operational costs over the peak period. To this end, this investigation exploits a new management strategy to schedule the charging/discharging of EVFs in hybrid AC-DC microgrids under the high penetration of renewable energy sources (RESs). The proposed scheduling problem is formulated for operational cost minimization, subject to various technical constraints regarding microgrids, EVFs, etc. To handle the uncertainty of load demand, RERs, and energy consumption of EVFs affected by external factors, information-gap decision theory (IGDT) is taken into account from the standpoint of both risk-averse and risk-seeker operators. The problem is then solved via the powerful solver named CPLEX due to the linear configuration of the suggested approach. The efficiency and applicability of the proposed management strategy are examined by implementing it on modified 69-bus and 94-bus systems, which are operated as hybrid AC-DC microgrids. The results show that DSO can mitigate the operational cost and enhance the technical aspects, whether EVFs collaborate in management scheme in the presence of generation resources. The results of un-certainty modeling via IGDT demonstrate that DSO can effectively schedule EVFs under the possibility of pa-rameters with a particular uncertainty budget. This means that risk-averse operators can predict how much extra expenditure is imposed if parameters under uncertainty violate their forecasted amount. This is vice versa for risk-seeker operators because of taking advantage of the division of uncertain parameters.

Automated summary

Electric Vehicle Fleets (EVFs) will play a significant role in future transportation systems due to their environmental friendliness. This study proposes a new management strategy for scheduling the charging/discharging of EVFs in hybrid AC-DC microgrids under high penetration of renewable energy sources (RESs), aiming to minimize operational costs and address technical constraints. Information-gap decision theory (IGDT) is utilized to handle uncertainties, and the proposed strategy is evaluated using modified 69-bus and 94-bus systems. The results demonstrate the effectiveness and applicability of the strategy in reducing operational costs and enhancing technical aspects.