Detect and Minimize Reverse Power Flow in a Renewable Energy Distribution System

High permeability of renewable energy into the power system can cause risks such as overvoltage, frequency variation, voltage deviation, reverse power flow (RPF), etc. This paper presents a method to detect and minimize the reverse power flow in a distribution system integrated with renewable energy. IEEE 13 bus with a monitor is mounted on the source bus to identify the reverse power flow used to test the system. To demonstrate the induction of reverse power flow, a PV system is connected at node 611 with a set capacity of 4000 kW. The load flow is performed using co-simulation between engines OpenDSS and MATLAB through component object model server dynamiclink library. Biogeography-based optimization (BBO) is applied to solve the multiple objective functions, including RPF at the substation and total load increase at each bus. Combining BBO and PSO can balance both global and local search capabilities. Results obtained by the proposed method show that the reverse power flow at the substation occurring due to the connection of large amounts of renewable energy sources can be significantly reduced.