Lexicographic multi-objective optimization for the unit commitment problem and economic dispatch in a microgrid

2011 ◽  
Author(s):  
Matteo Salani ◽  
Alessandro Giusti ◽  
Gianni Di Caro ◽  
Andrea Emilio Rizzoli ◽  
Luca Maria Gambardella
Keyword(s):  
Unit Commitment ◽  
Economic Dispatch ◽  
Multi Objective Optimization ◽  
Unit Commitment Problem ◽  
Multi Objective ◽  
Commitment Problem

Scope of Biogeography Based Optimization for Economic Load Dispatch and Multi-Objective Unit Commitment Problem

2014 ◽  
Vol 3 (4) ◽  
pp. 34-54 ◽  
Author(s):  
Vikram Kumar Kamboj ◽  
S.K. Bath
Keyword(s):  
Optimization Algorithm ◽  
Unit Commitment ◽  
Optimization Problems ◽  
Simple Procedure ◽  
Mathematical Formulation ◽  
Economic Load Dispatch ◽  
Unit Commitment Problem ◽  
Multi Objective ◽  
Commitment Problem ◽  
Population Based Algorithm

Biogeography Based Optimization (BBO) algorithm is a population-based algorithm based on biogeography concept, which uses the idea of the migration strategy of animals or other spices for solving optimization problems. Biogeography Based Optimization algorithm has a simple procedure to find the optimal solution for the non-smooth and non-convex problems through the steps of migration and mutation. This research paper presents the solution to Economic Load Dispatch Problem for IEEE 3, 4, 6 and 10-unit generating model using Biogeography Based Optimization algorithm. It also presents the mathematical formulation of scalar and multi-objective unit commitment problem, which is a further extension of economic load dispatch problem.

A practical approach for reliability-oriented multi-objective unit commitment problem

2019 ◽  
Vol 85 ◽  
pp. 105786 ◽  
Author(s):  
Hossein Narimani ◽  
Ali Azizivahed ◽  
Ehsan Naderi ◽  
Mehdi Fathi ◽  
Mohammad Rasoul Narimani
Keyword(s):  
Unit Commitment ◽  
Practical Approach ◽  
Unit Commitment Problem ◽  
Multi Objective ◽  
Commitment Problem

scholarly journals A Cross-Entropy-Based Hybrid Membrane Computing Method for Power System Unit Commitment Problems

Energies ◽  
2019 ◽  
Vol 12 (3) ◽  
pp. 486 ◽  
Author(s):  
Min Xie ◽  
Yuxin Du ◽  
Peijun Cheng ◽  
Wei Wei ◽  
Mingbo Liu
Keyword(s):  
Power System ◽  
Membrane Computing ◽  
Unit Commitment ◽  
Economic Dispatch ◽  
Hybrid Membrane ◽  
Cross Entropy ◽  
Unit Commitment Problem ◽  
Commitment Problem ◽  
Dynamic Economic Dispatch ◽  
Computing Method

The cross-entropy based hybrid membrane computing method is proposed in this paper to solve the power system unit commitment problem. The traditional unit commitment problem can be usually decomposed into a bi-level optimization problem including unit start-stop scheduling problem and dynamic economic dispatch problem. In this paper, the genetic algorithm-based P system is proposed to schedule the unit start-stop plan, and the biomimetic membrane computing method combined with the cross-entropy is proposed to solve the dynamic economic dispatch problem with a unit start-stop plan given. The simulation results of 10–100 unit systems for 24 h day-ahead dispatching show that the unit commitment problem can be solved effectively by the proposed cross-entropy based hybrid membrane computing method and obtain a good and stable solution.

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