This paper proposes a robust static state estimation method for radial electric power distribution systems. In recent years distribution system operators are interested in improving the security function in distribution systems. In this paper the nested structure of the state variable is used to estimate the state variable of the distribution system power flow calculation. The problem of state estimation may be expressed by the minimization of noise of state variables at the substation node. That allows us to carry out static state estimation with a limited set of measurements. This paper presents a new robust algorithm for reducing noise and suppressing bad data. The conventional optimization is not applicable due to the complicated formulation. Meta-heuristics are very efficient for solving a combinatorial optimization problem. As one of rneta-heuristics, this paper makes use of tabu search to solve the formulation. The proposed method is successfully applied to the 69-node distribution system. A comparison between the proposed and conventional methods is made to demonstrate the effectiveness of the proposed method.
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