A new time-decoupled framework for PEVs charging and scheduling in industrial Microgrids
Institute of Electrical and Electronics Engineers Inc.
School of Engineering
Solving the optimal power flow (OPF) in industrial microgrids (IMGs) in presence of plug-in electric vehicles (PEVs) changes the structure of problem to a complex dynamic OPF (DOPF). The complication is due to energy and time related constraints of PEVs that requires the complex non-linear time-coupled DOPF problem to be solved over a long period of few hours (e.g., 24-h). This paper presents a novel time-decoupled framework for solving the generation scheduling problem in IMGs by relaxing the time correlated constraints of the DOPF. The relaxation is mathematically achieved by replacing the time-coupled constraints with their corresponding long term time averages. This will resolve the time coupling property of DOPF and results in a simpler solution approach. The relaxed DOPF problem can be solved in independent time periods while considering other constraints such as PEVs and security constraints of OPF as well as factories constraints. To examine the effectiveness of the proposed method, different simulation scenarios have been applied to an 18-bus IMG consisting of PEVs and 12 factories with electrical and thermal loads as well as combined heat and power systems.