A Probabilistic Approach for Power Loss Minimization in Distribution Systems

The number of Wind Power Distributed Generators are increasingly integrated in power systems because of having environmentally friendly and technically sound characteristics. It is prevalent that the non-optimal size and placement of Distributed Generation (DGs) can cause high power loss and unexpected voltage profile variation on feeder. This research study focusses on the probabilistic approach to design of Distributed Generation (DGs) and its impact on medium voltage (MV) feeders. Monte Carlo simulation based probabilistic power flow considering stochastic nature of wind and solar power generation and uncertainty of load variation are employed. The proposed method is simple that used open source MATLAB software including MATPOWER tools to analyse and design low voltage and medium voltage feeder. This method can furnish several choices to utilities/owners to place WT-DGs and PV-DGs at different suitable nodes. The method will be tested on different case study using Indian practical 22-bus and IEEE 69-bus network and the effect of DGs on the system voltage profile and loss are investigated accordingly.