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Journal ArticleDOI

Optimal VAr planning by approximation method for recursive mixed-integer linear programming

Kenichi Aoki, +2 more
- 01 Nov 1988 - 
- Vol. 3, Iss: 4, pp 1741-1747
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TLDR
An algorithm for solving reactive power planning problems based on a recursive mixed-integer programming technique using an approximation method so that the number of capacitor or reactor units can be treated as a discrete variable in solving large-scale VAr (volt-ampere reactive) planning problems.
Abstract
The authors propose an algorithm for solving reactive power planning problems. The optimization approach is based on a recursive mixed-integer programming technique using an approximation method. A fundamental feature of this algorithm is that the number of capacitor or reactor units can be treated as a discrete variable in solving large-scale VAr (volt-ampere reactive) planning problems. Numerical results have verified the validity and efficiency of the algorithm. >

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Citations
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Journal ArticleDOI

Solution of optimal reactive power dispatch of power systems using hybrid particle swarm optimization and imperialist competitive algorithms

TL;DR: In this paper, a hybrid approach based on ICA and PSO is proposed to find the solution of optimal reactive power dispatch (ORPD) of power systems, which is implemented on standard IEEE 57-bus and IEEE 118-bus test systems.
Journal ArticleDOI

Optimal reactive power planning and its spot-pricing: an integrated approach

TL;DR: In this article, a simple bus-wise cost-benefit analysis (CBA) scheme is proposed which involves solving a modified optimal power flow problem (OPF) iteratively, and a two-part reactive power spot-pricing scheme is formulated, by which the investment and operational costs can be recovered by the utility.
Journal ArticleDOI

Correction to "A multiagent-based particle swarm optimization approach for optimal reactive power dispatch"

TL;DR: A solution to the reactive power dispatch problem with a novel particle swarm optimization approach based on multiagent systems (MAPSO) is presented and it is shown that the proposed approach converges to better solutions much faster than the earlier reported approaches.
Journal ArticleDOI

Discrete shunt controls in a Newton optimal power flow

TL;DR: A penalty-based discretization algorithm is proposed that consistently provides a near-optimal discrete solution for shunt controls without combinatorial search.
Journal ArticleDOI

Solving optimal reactive power dispatch problem using a novel teaching-learning-based optimization algorithm

TL;DR: Results for ORPD problem demonstrate superiority in terms of solution quality of the GBTLBO and MGBTLBO algorithms over original TLBO algorithm and other algorithm.
References
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Journal ArticleDOI

Nonlinear Optimization by Successive Linear Programming

TL;DR: A detailed description of an efficient, reliable SLP algorithm along with a convergence theorem for linearly constrained problems and extensive computational results show that SLP compares favorably with the Generalized Reduced Gradient Code GRG2 and with MINOS/GRG.
Journal ArticleDOI

Non-Linear Var Optimization Using Decomposition And Coordination

TL;DR: This paper introduces a new approach to solve the var optimization problem that computes the desired optimal solution on-line and is applicable to large system deviations, without the need of an OPF.
Journal ArticleDOI

An integrated methodology for VAr sources planning

TL;DR: In this article, an integrated methodology for VAr sources expansion planning is described, which extends and generalizes a previously proposed two-level hierarchical approach to represent multiple load levels and multiple contingencies, calculate the trade-off between investment cost and supply reliability, and select the most adequate set of candidate nodes for expansion.
Journal ArticleDOI

A Hierarchical Approach to Reactive Volt Ampere (Var) Optimization in System Planning

TL;DR: In this article, a two-level hierarchical approach for optimum allocation of reactive volt ampere (VAR) sources in large scale power system planning is presented, which takes advantage of the natural distinction between var dispatch in system operation and var allocation in system planning.
Journal ArticleDOI

Large Scale Reactive Power Planning

TL;DR: In this article, a new methodology for planning future reactive compensation for large scale systems is presented, based on a restructuring of the network model and a special formulation of the revised simplex method.
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