Publication

HIERARCHICAL OPTIMIZATION OF REACTIVE POWER WITH LINEAR PROGRAMMING.

1984
Reports

Abstract

An iterative and decoupled method is proposed for solving the general active/reactive constrained power flow problem, based on rectangular coordinates of injected currents. Successive linear programming with dual-relaxation method is used. The general objective function is designed to accommodate security improvement as well as economical optimization, including system active losses. A hierarchical approach for reactive optimization is proposed. A whole optimization problem is thus subdivided into several subproblems which can be optimized independently, starting from predetermined boundary conditions. The performance of the algorithms is evaluated on real systems.

Official source

https://infoscience.epfl.ch/entities/publication/be27c092-2237-40aa-9bc9-15affe72df67

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1984
Reports

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/be27c092-2237-40aa-9bc9-15affe72df67

About this result

Related concepts (32)

Multi-objective optimization

Multi-objective optimization or Pareto optimization (also known as multi-objective programming, vector optimization, multicriteria optimization, or multiattribute optimization) is an area of multiple-criteria decision making that is concerned with mathematical optimization problems involving more than one objective function to be optimized simultaneously. Multi-objective is a type of vector optimization that has been applied in many fields of science, including engineering, economics and logistics where optimal decisions need to be taken in the presence of trade-offs between two or more conflicting objectives.

Linear programming

Linear programming (LP), also called linear optimization, is a method to achieve the best outcome (such as maximum profit or lowest cost) in a mathematical model whose requirements are represented by linear relationships. Linear programming is a special case of mathematical programming (also known as mathematical optimization). More formally, linear programming is a technique for the optimization of a linear objective function, subject to linear equality and linear inequality constraints.

Optimization problem

In mathematics, computer science and economics, an optimization problem is the problem of finding the best solution from all feasible solutions. Optimization problems can be divided into two categories, depending on whether the variables are continuous or discrete: An optimization problem with discrete variables is known as a discrete optimization, in which an object such as an integer, permutation or graph must be found from a countable set.

Related publications (26)

HIERARCHICAL OPTIMIZATION OF REACTIVE POWER WITH LINEAR PROGRAMMING.

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