These days, a new concept called intelligent parking lot (IPL) has been extensively paid
consideration to be used in power system industry. Using charge/discharge of electric
vehicles (EV), IPLs attempt to exchange power with the upstream grid. In addition to IPL,
studied model involves non-renewable and renewable units such as wind turbine,
photovoltaic (PV) system, local dispatchable generator (LDG) like micro-turbine and
hydrogen storage system (HSS) which are used all together to satisfy energy demand. In
this work, optimal scheduling of an IPL has been studied under time-of-use (TOU) rate of
demand response program (DRP) in which price of upstream gird is set to be uncertain
which uncertainty is modeled via interval optimization technique. This technique transforms
uncertainty based model into a deterministic multi-objective model with deviation
and average costs as the inconsistency objective functions. Then, applying ε-constraint
technique and fuzzy approach, mentioned multi-objective problem is solved. Obtained
Pareto results as well as selected trade-off results in various case studies have been
compared to prove efficiency of employed techniques. Obtained results revealed that due
to positive influence of DRP, increase of average cost of IPL has been reduced up to 2.46%
while deviation cost of IPL has been decreased up to 12.49%.