The Effect of Power Flow Entropy on Available Load Supply Capacity under Stochastic Scenarios with Different Control Coefficients of UPFC

With the sharp increase in fluctuant sources power systems, deterministic flow (DPF) calculation has been unable to meet demands of practical applications; thus, probabilistic method becomes indispensable for reliable and stable operation systems. This paper adopts (PPF) method, which is a Monte Carlo simulation (MCS) based on Latin hypercube sampling (LHS) analyze uncertainties Specifically, available load supply capability (ALSC) branch loading rate used safety margin whole system, while improved entropy introduced quantify equilibrium distribution. The repeated (RPF) combined with PPF and, hence, (PRPF) proposed calculate at initial state ALSC. To flexibly control flow, unified controller (UPFC) added AC system. different coefficients UPFC are set reveal relationship between under stochastic scenarios. Finally, modified IEEE14 test system study adjustment abilities UPFC. consideration case, positive effect ALSC scenarios deeply studied.