Multi-Area Unit Commitment Using Hybrid Particle Swarm Optimization Technique with Import and Export Constraints
نویسندگان
چکیده
منابع مشابه
Hybrid Evolutionary Programming Approach to Multi-Area Unit Commitment with Import and Export Constraints
This paper presents a novel approach to solve the Multi-Area unit –commitment problem using a evolutionary programming technique. The objective of the Multi-Area unit commitment problem is to determine the optimal or a near optimal commitment strategy for generating units located in multiple areas that are interconnected via tie –lines and joint operation of generation resources can result in s...
متن کاملHybrid Proposed Particle Swarm Optimization Method for Solving Multi Area Unit Commitment Problem
Particle Swarm Optimization (PSO) is a population based stochastic optimization technique developed by Eberhart (1995) and Kennedy, inspired by the social behavior of bird flocking or fish schooling. PSO shares many similarities with evolutionary computation techniques such as GA. The system is initialized with a population of random solutions and searches for optima by updating generations. Ho...
متن کاملSolving Security Constrained Unit Commitment by Particle Swarm Optimization
The issue of unit commitment is one of the most important economic plans in power system. In modern and traditional power systems, in addition to being economical of the planning, the issue of security in unit operation is also of great importance. Hence power system operation confronts units’ participation and input considering network security constrains. The issue of units’ participation is ...
متن کاملA Solution to The Unit Commitment Problem Using Hybrid Genetic and particle swarm optimization Algorithms
The solution of the unit commitment problem (UCP) is a complex optimization problem. The exact solution of the UCP can he obtained by a complete enumeration of all feasible combinations of generating units, which could be a huge number. The objective is to find the generation scheduling such that the total operating cost can be minimized, when subjected to a variety of constraints. This also me...
متن کاملMulti-area Environmental Economic Dispatch with Reserve Constraints Using Enhanced Particle Swarm Optimization
In this paper, the multi-area environmental economic dispatch (MAEED) problem with reserve constraints is solved by proposing an enhanced particle swarm optimization (EPSO) method. The objective of MAEED problem is to determine the optimal generating schedule of thermal units and inter-area power transactions in such a way that total fuel cost and emission are simultaneously optimized while sat...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Engineering
سال: 2009
ISSN: 1947-3931,1947-394X
DOI: 10.4236/eng.2009.13017