Optimal energy management of CHP‐based microgrid examining different types of district heating networks

Heat recovery by combined heat and power (CHP) systems to provide load reduces the cost of microgrid (MG) energy management. However, transfer from CHP consumers is limited due loss pipelines. The amount varies depending on pipeline material environmental characteristics. Here, a day-ahead management CHP-based microgrid, including various types supply electrical thermal loads, performed. In this regard, accurate model losses (HTL) through pipelines in problem considered. Moreover, optimal scheduling different MGs terms HTL specifications compared with each other. Evaluating simulation results, it inferred that modeling has significant impact operation MG. To solve optimization problem, new enhanced imperialist competitive algorithm (E-ICA) examined validated. E-ICA method improves efficiency classical ICA prevent getting stuck local optimums enhancing exploration exploitation. results show superiority other evolutionary algorithms.