Probability Constrained Load Flow on the Basis of Tracing Method

Abstract

In order to control the electric power system operation it is important to know the sensitivity of random state variables to disturbances and the factors affecting the sensitivity of the variables to ensure feasible ranges of their changes. The stochastic problem of electric power system control is solved iteratively and is reduced to successively solving the equivalent deterministic problems, including determination of numerical characteristics of the variables by the methods of probabilistic load flow. To minimize the number of controls it is suggested to use the tracing method in each step of the deterministic equivalent method. The presented numerical results demonstrate the high performance of the suggested approach.

Reconfiguration of a Primary Three-Phase Three-Wire Distribution Network with Unbalanced Loads

“…A single-line network model similar to that in the initial algorithm [6] was used in the modified reconfiguration algorithm for unbalanced three-phase three-wire network when constructing a spanning tree, and when determining chords and branches belonging to every independent loop. Difference between a modified algorithm and an initial algorithm is that the expressions (6)- (10) were used for computation of load flows, losses and total values of currents magnitude of phase с , b , а serving as weights when constructing a maximum spanning tree.…”

“…Optimization heuristic algorithms of configuration, such as genetic [1], tabu search [2], ant colony [3,4], harmony search [5], and particle swarm optimization [6] algorithms have been widely used, but their computational burden impedes their real-time use.…”