Differential evolution meter location in distribution state estimation

Abstract

Distribution System monitoring become a very important function in today's deregulated power markets and thus, state estimators have become the essential tools of choice for the implementation of this function. Determination of the best possible combination of meters for monitoring a given Distribution System is referred to as the optimal meter placement. Whether a new state estimator is put into service or an existing one is being upgraded, placing new meters for improving or maintaining reliability and the observability of the measurement system, is of great concern. This paper proposes an optimization algorithm suitable to choose the optimal number and position of the measurement devices needed to operate management and control issues, such as energy dispatching and protection coordination, in modern electric distribution networks. The intelligent algorithm tested for IEEE and TNEB test systems.

Meter placement algorithms to enhance distribution systems state estimation: Review, challenges and future research directions

“…The data collected by meters and RTUs is sent to a central computer through a dedicated telecommunications channel. In this vein, some researchers have incorporated the optimal location of the RTU in the meter placement problem [3,62,73,75]. In Table 4, the relevant references are compared in terms of the type of measurements considered in the meter placement problem.…”

“…Comprehensive exploration increases convergence time, and high exploitation causes the algorithm to get stuck at a local optimal point and not be able to get close to the global optimal solution. In [3,17,19,41,45,75], meta-heuristic methods such as genetic algorithm (GA), ant colony optimization (ACO), bacterial foraging search, simulated annealing (SA), Tabu search (TS) and particle swarm optimization (PSO) are proposed for meter placement in the DSSE problem.…”