Microgrid sizing with combined evolutionary algorithm and MILP unit commitment

Simulated Annealing Combined with Evolutionary Algorithm to Unit Commitment Problem

Solving Unit Commitment Problem Using Chemo-tactic PSO–DE Optimization Algorithm Combined with Lagrange Relaxation

This paper presents Chemo-tactic PSO-DE (CPSO-DE) optimization algorithm combined with Lagrange Relaxation method (LR) for solving Unit Commitment (UC) problem. The proposed approach employs Chemo-tactic PSO-DE algorithm for optimal settings of Lagrange multipliers. It provides high-quality performance and reaches global solution and is a hybrid heuristic algorithm based on Bacterial Foraging O...

Maintaining Voltage Stability by Optimal Locating and Sizing by Combined Evolutionary Algorithm

This paper proposes an algorithm for optimal placement of FACTS devices in transmission line to maintain the power system voltage stability and optimal sizing of the FACTS device. The aim of this paper is to improve voltage stability and reduce the total power losses. Here, voltage stability means no variation in the voltages of each bus beyond its boundaries and system stability is the ability...

UPFC Siting and Sizing in Power Network Using Two Different Evolutionary Algorithm

In emerging electric power systems, increased transactions often lead to the situations where the system no longer remains in secure operating region. The flexible Ac transmission system (FACTS) controllers can play an important role in the power system security enhancement. However, due to high capital investment, it is necessary to locate these controllers optimally in the power system. FACTS...

A new MILP-based approach for unit commitment in power production planning

This paper presents a complete, quadratic programming formulation of the standard thermal unit commitment problem in power generation planning, together with a novel iterative optimisation algorithm for its solution. The algorithm, based on a mixed-integer formulation of the problem, considers piecewise linear approximations of the quadratic fuel cost function that are dynamically updated in an...