This paper proposes a solution to effectively determine Unit Commitment and generation cost using the technique of Invasive Weed Optimization (IWO).The objective of this paper is to find the generation scheduling such that the total operating cost can be minimized, when subjected to variety of constraints. This also means that finding the optimal generating unit commitment in the power system for the next H hours is desirable. The different constraints considered in this technique are the time constraint and spinning reserve constraint. The result obtained from this is to be compared with the already existing result of Particle Swarm Optimization (PSO) for an 8 hour 4 unit IEEE system and 24 hour 10 unit IEEE system
Electric power systems worldwide are receiving an increasing volume of wind power generation (WPG) b...
A worldwide increase in energy consumption is being observed and the task of meeting this demand at ...
Solving the Unit Commitment problem (UCP) optimizes the combination of production units operations a...
Contact no. 9443520002 Abstract There are several units operating in the power generating station fo...
The aim of this work is to solve the unit commitment (UC) problem in power systems by calculating mi...
This paper presents a Hybrid Particle Swarm Optimization (HPSO) to solve the Unit Commitment (UC) pr...
The aim of this work is to solve the unit commitment (UC) problem in power systems by calculating mi...
Abstract: A multi-objective ecological power unit commitment problem is developed to consider the ob...
In order to minimise the electricity costs of the power system, this paper proposes an optimal opera...
This paper presents a new approach via hybrid particle swarm optimization (HPSO) scheme to solve the...
Abstract:- A solution to unit commitment using binary particle swarm optimization (BPSO) is presente...
This paper presents a heuristic approach to generate initial feasible solutions for the Unit Commitm...
Unit commitment(UC) is one of the essential activities in power systems planning and operation that ...
An important criterion in power system operation is to meet the power demand at minimum fuel cost us...
Electric power systems worldwide are receiving an increasing volume of wind power generation (WPG) b...
Electric power systems worldwide are receiving an increasing volume of wind power generation (WPG) b...
A worldwide increase in energy consumption is being observed and the task of meeting this demand at ...
Solving the Unit Commitment problem (UCP) optimizes the combination of production units operations a...
Contact no. 9443520002 Abstract There are several units operating in the power generating station fo...
The aim of this work is to solve the unit commitment (UC) problem in power systems by calculating mi...
This paper presents a Hybrid Particle Swarm Optimization (HPSO) to solve the Unit Commitment (UC) pr...
The aim of this work is to solve the unit commitment (UC) problem in power systems by calculating mi...
Abstract: A multi-objective ecological power unit commitment problem is developed to consider the ob...
In order to minimise the electricity costs of the power system, this paper proposes an optimal opera...
This paper presents a new approach via hybrid particle swarm optimization (HPSO) scheme to solve the...
Abstract:- A solution to unit commitment using binary particle swarm optimization (BPSO) is presente...
This paper presents a heuristic approach to generate initial feasible solutions for the Unit Commitm...
Unit commitment(UC) is one of the essential activities in power systems planning and operation that ...
An important criterion in power system operation is to meet the power demand at minimum fuel cost us...
Electric power systems worldwide are receiving an increasing volume of wind power generation (WPG) b...
Electric power systems worldwide are receiving an increasing volume of wind power generation (WPG) b...
A worldwide increase in energy consumption is being observed and the task of meeting this demand at ...
Solving the Unit Commitment problem (UCP) optimizes the combination of production units operations a...