PROJECT TITLE :

Reactive power planning under conditional-value-at-risk assessment using chance-constrained optimisation

ABSTRACT:

This study presents a risk-assessment approach to the reactive power coming up with problem. Chance-constrained programming is used to model the random equivalent availability of existing reactive power sources for a given confidence level. Load shedding because of random equivalent availability of those reactive power sources is implemented through conditional-price-at-risk. Tap settings of below-load tap-changing Transformers are thought-about as integer variables. Active and reactive demands are thought of as chance distribution functions. The proposed mathematical formulation is a 2-stage stochastic, multi-amount mixed-integer convex model. The tradeoff between risk mitigation and investment cost minimisation is analysed. The proposed methodology is applied to the CIGRE-32 electrical Power System, using the optimisation solver CPLEX in AMPL.