Multi-objective DSTATCOM placement based on sensitivity analysis and genetic algorithm in unbalanced mv distribution networks

As a new type of reactive compensation device, distribution static compensator (DSTATCOM) is gradually utilized to mitigate voltage drop and power losses caused by increasing loads. Considering load variations, this study proposes a multi-objective placement model based on sensitivity analysis and genetic algorithm (GA) for the sequential and optimal allocation of DSTATCOM in unbalanced MV distribution networks. Weighted sum method is adopted to reflect the preferences on conflicting placement objectives, including network losses, voltage magnitude and balance profiles, as well as economic costs. To efficiently solve the multi- objective placement problem defined above, an improved direct distribution load flow approach integrating DSTATCOM is presented, and a comprehensive loss sensitivity index is defined to reasonably select the installation site. Finally the proposed placement model and strategy are simulated and validated on an unbalanced Australian MV network with MATLAB.