Integration between electric vehicle charging and micro-cogeneration system

• The interaction between an MCHP system and EV charging is investigated.
• A parametric analysis with respect to daily driving distance of the EV is performed.
• Dynamic simulations are carried out considering two different climates.
• Two EV charging strategies are analyzed to maximize the self-consumed electricity.
• The impact of EVs on electric grid and economic feasibility of MCHP can be improved.

In the near future the diffusion of plug-in electric vehicles (EVs) could play an important role in the reduction of emissions and oil dependency associated with the transport sector. However this technology could have a big impact on the electric network because EVs require a considerable amount of electricity. In order to meet the growing load due to the diffusion of EVs, the construction of new infrastructures will be required. The introduction of micro-cogeneration systems could represent a key factor in the reduction of the negative effects on the electric network related to EVs charging. The EVs are often driven during the day and recharged during the night; so the overnight charge of the EVs allows to reduce the amount of electricity exported to the grid. In this way the economic benefits associated with the introduction of micro-cogenerator system (Micro Combined Heat and Power, MCHP), that depend on the economic value of the “produced” electricity, can be improved. At the same time the impact of EVs charge on the electric network can be reduced when electricity is provided by MCHP.In this paper the interaction between an MCHP system, the EV charging and a typical semidetached house is investigated by means of dynamic simulations. The analysis is carried out in two different locations (Torino and Napoli) in order to evaluate the effects of climatic conditions on the system performance. A parametric analysis with respect to the daily driving distance of the EV is carried out in order to highlight the effect of this parameter on the simulation results. Furthermore two EV charging strategies are analyzed in order to maximize the share of self-consumed electricity.The results state that operating cost reductions of the proposed system with respect to the reference one up to 60% can be achieved. Moreover the optimized charging strategy, with respect to the normal one, allows to decrease the operating cost of a percentage up to 11%.