A Computational Intelligence Solution for Power Flow Automatic Adjustment

Abstract

With power system growing more enormous and complicated, adjusting operating point to change the power of cross-section to the given value becomes unhandy and tedious for the system operators. In this paper, a power flow automatic adjustment strategy based on the computational intelligence technique is proposed. With sensitivity analysis based on direct current power flow (DCPF) model, the generators are grouped and filtered to decrease calculating amount. An improved evolutionary programming approach is applied to search the combination of active power and voltage magnitude of generators to achieve the automatic adjustment of the given cross-section power flow. The simulations are performed on the IEEE 3-machine-9-bus test case to illustrate the rationality and validity of the proposed strategy.