Economic-environmental analysis of combined heat and power-based reconfigurable microgrid integrated with multiple energy storage and demand response program

Microgrids (MGs) are solutions to integrate high shares of variable renewable energy which can contribute more economical and environmental benefits, as well improving the supply efficiency. One significant potential MGs is an expanded opportunity use waste heating from conversion primary fuel (such natural gas) generate electricity. The heat in combined power (CHP)-based MG efficient meet local load decrease emission pollution. Hence, this paper elaborates on optimal multi-objective scheduling CHP-based coupled with compressed air storage (CAES), energy, thermal (TES), demand response programs through shiftable loads, considers a reconfiguration capability. embedded CAES, addition charging/discharging scheme, operate simple cycling mode serve generation resource emergency condition. daily will introduce new named reconfigurable microgrid (RMG) that offers flexibility enhances system reliability. RMG TES facilitate integration CHP unit enables operator participate market, market. main intents proposed problem minimize operation cost along reduction carbon emission. epsilon-constraint technique used solve while fuzzy decision making implemented select solution among all Pareto solutions. electricity prices wind variation captured random variables model scenario-based stochastic approach handle them. Simulation results prove simultaneous multiple technologies decreases up 3 % 10.28 %, respectively.