Contingency Constrained Optimal Meter Placement for Power System Observability using Biogeography Based Optimization

The paper presents a biography based optimization algorithm to design the measurement configuration which makes the power system network observable. The optimal meter locations are obtained under normal as well as contingency cases. The normal operation of the power system means that the equality and inequality constrains of power system should be met. The optimal and reliable meter locations are identified against two types of contingencies named as single measurements loss and single branch outages by modifying the fitness function derived in normal conditions. The effectiveness of the proposed approach is demonstrated using IEEE standard systems.