Stochastic Multi-Objective Optimal Reactive Power Dispatch with the Integration of Wind and Solar Generation

The exponential growth of unpredictable renewable power production sources in the grid results difficult-to-regulate reactive power. ultimate goal optimal dispatch (ORPD) is to find voltage level all generators, transformer tap ratio, and MVAR injection shunt VAR compensators (SVC). More realistically, ORPD problem a nonlinear multi-objective optimization problem. Therefore, this paper, formulated solved considering simultaneous minimization active loss, deviation, emission, operating cost thermal generators. Usually, generators such as wind solar are uncertain; therefore, Weibull lognormal probability distribution functions considered model power, respectively. Due unavailability uncertainty appropriate PDFs have been used generate 1000 scenarios with help Monte Carlo simulation techniques. Practically, it not possible solve scenarios. scenario reduction technique based on distance metric applied select 24 representative reduce size Moreover, efficient non-dominated sorting genetic algorithm II-based bidirectional co-evolutionary (BiCo), along constraint domination principle, adopted Furthermore, modified IEEE standard 30-bus system employed show performance superiority proposed algorithm. Simulation indicate that finds uniformly distributed near-global final solutions compared recently available state-of-the-art algorithms literature.