Hierarchical algorithms of functional modelling for solution of optimal operation problems in electrical power systems

Makeechev, V. A.; Soukhanov, O.A.; Sharov, Yu. V.

doi:10.1016/j.ijepes.2008.02.001

Cited by 5 publications

(2 citation statements)

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“…If power flows through boundary nodes of subsystems are considered as boundary variables and there is only one boundary node between each pair of adjoining subsystems Lagrange function for this model can be constructed as a sum of Lagrange functions of subsystems in following form [3], [4] ∑ ∑…”

Section: Hierarchical Fm Algorithm For Solution Of Optimization Pmentioning

confidence: 99%

Hierarchical models in power systems analysis & control

Soukhanov

Yadikin

2011

2011 2nd IEEE PES International Conference and Exhibition on Innovative Smart Grid Technologies

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In this paper the functional modeling (FM) method developed for efficient solution of simulation, planning and control problems in large power systems and interconnections is presented. In the first part of the paper outline of the FM method is given. According to the FM method a power system is represented by hierarchical model, consisting of systems of equations of subsystems (lower level) and system of equations of higher level, in which only boundary variables of subsystems are present. Next part of the paper is devoted to description of hierarchical algorithms for solution of power flow , optimization and stability analysis problems of power systems, based on the FM method. It is shown in the last part of the paper how general structure of the FM algorithms and principles of the FM method are used to form the basis, on which construction and functioning of distributed control system assuring optimal operation control in large integrated electrical power systems is founded.

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Section: Hierarchical Fm Algorithm For Solution Of Optimization Pmentioning

confidence: 99%

Hierarchical models in power systems analysis & control

Soukhanov

Yadikin

2011

2011 2nd IEEE PES International Conference and Exhibition on Innovative Smart Grid Technologies

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“…Also, the EPD can be formulated as a multi-objective optimization problem [11,13,17]. TWe mention that the particle swarm optimization method was successfully applied to other optimization problems, such as optimal power flow [18][19][20], reactive power optimization and voltage control [23], power loss reduction in distribution systems [24], network reconfiguration [25], unit commitment problem [26], due to its good convergence, low computational time and good quality solutions.…”

Section: Introductionmentioning

confidence: 99%

A Swarm Intelligence Approach to the Power Dispatch Problem

Secui

Felea

Dziţac

et al. 2010

INT J COMPUT COMMUN

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This paper examines how two techniques of the Particle Swarm Optimization method (PSO) can be used to solve the Economic Power Dispatch (EPD) problem. The mathematical model of the EPD is a nonlinear one, PSO algorithms being considered efficient in solving this kind of models. Also, PSO has been successfully applied in many complex optimization problems in power systems. The PSO techniques presented here are applied to three case studies, which analyze power systems having four, six, respectively twenty generating units.

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