Three-Phase State Estimation Using Hybrid Particle Swarm Optimization
نویسندگان
چکیده
منابع مشابه
Practical Distribution State Estimation Using Hybrid Particle Swarm Optimization
This paper proposes a practical distribution state estimation method using a hybrid particle swarm optimization. The proposed method considers nonlinear characteristics of the practical equipment and actual measurements in distribution systems. The method can estimate load and distributed generation output values at each node by minimizing difference between measured and calculated state variab...
متن کاملOptimal Static State Estimation Using hybrid Particle Swarm-Differential Evolution Based Optimization
In this paper, swarm optimization hybridized with differential evolution (PSO-DE) technique is proposed to solve static state estimation (SE) problem as a minimization problem. The proposed hybrid method is tested on IEEE 5-bus, 14-bus, 30-bus, 57-bus and 118-bus standard test systems along with 11-bus and 13-bus ill-conditioned test systems under different simulated conditions and the results ...
متن کاملThree-phase power flow analysis in sequence component frame using Hybrid Particle Swarm Optimization
Power flow is an important tool in power system studies. Usually, a power system is assumed to be balanced and the power flow analysis is carried out for the same. Practical power system networks are highly unbalanced and it is required to obtain load flow (power flow) solution for such unbalanced networks. The unbalancing in power system is unavoidable due to the untransposed transmission line...
متن کاملDiversified Particle Swarm Optimization for Hybrid Flowshop Scheduling
The aim of this paper is to propose a new particle swarm optimization algorithm to solve a hybrid flowshop scheduling with sequence-dependent setup times problem, which is of great importance in the industrial context. This algorithm is called diversified particle swarm optimization algorithm which is a generalization of particle swarm optimization algorithm and inspired by an anarchic society ...
متن کاملPREDICTION OF EARTHQUAKE INDUCED DISPLACEMENTS OF SLOPES USING HYBRID SUPPORT VECTOR REGRESSION WITH PARTICLE SWARM OPTIMIZATION
Displacements induced by earthquake can be very large and result in severe damage to earth and earth supported structures including embankment dams, road embankments, excavations and retaining walls. It is important, therefore, to be able to predict such displacements. In this paper, a new approach to prediction of earthquake induced displacements of slopes (EIDS) using hybrid support vector re...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Smart Grid
سال: 2017
ISSN: 1949-3053,1949-3061
DOI: 10.1109/tsg.2015.2428172