Invasive Weed Optimization for Combined Economic and Emission Dispatch Problems
نویسندگان
چکیده
In this paper, Invasive Weed Optimization (IWO) algorithm is used to find the optimum solution of Combined Economic Emission Dispatch (CEED) problem. The main objective is to minimize the fuel cost as well as emission level, while satisfying the power demand and associative operational constraints. The bi-objective problem is made to a single objective function using the price penalty factor. Since, the minimize fuel cost and emission are contradictory to each other so to get the optimum compromise solution, weighing factor is used. IWO is applied on three different standard test cases i.e. 6 generators, 10 generators and 40 generators system. To measure the effectiveness and quality of solution, test results have been compared with other existing relevant approaches. Invasive Weed Optimization for Combined Economic and Emission Dispatch Problems
منابع مشابه
Combined Economic and Emission Dispatch Solution Using Exchange Market Algorithm
This paper proposes the exchange market algorithm (EMA) to solve the combined economic and emission dispatch (CEED) problems in thermal power plants. The EMA is a new, robust and efficient algorithm to exploit the global optimum point in optimization problems. Existence of two seeking operators in EMA provides a high ability in exploiting global optimum point. In order to show the capabilities ...
متن کاملPer Unit Coding for Combined Economic Emission Load Dispatch using Smart Algorithms
This paper proposes per unit coding for combined economic emission load dispatch problem. In the proposed coding, it is possible to apply the percent effects of elements in any number and with high accuracy in objective function. In the proposed per unit coding, each function is transformed into per unit form based on its own maximum value and has a value from 0 to 1. In this paper, particle sw...
متن کاملCombined Economic and Emission Dispatch for a Wind Integrated System Using Particle Swarm Optimization
Page 769 Linga et. al., Combined Economic and Emission Dispatch for a Wind Integrated System Using Particle Swarm Optimization Abstract—This paper deals with the problems of Economic Dispatch, Emission Dispatch and Combined Economic and Emission Dispatch problems for an integrated system having thermal and wind units. Particle Swarm Optimization and Genetic Algorithm methods are used to solve t...
متن کاملCombined Economic and Emission Dispatch Using Particle Swarm Optimization
This paper presents a demonstration of solving combined economic and emission dispatch problems by using one of swarm intelligences, called particle swarm optimization. The objective of the combined problem can be expressed by taking both the total production cost and total emission into account with required constraints. Among potential intelligent search methods, particle swarm optimization i...
متن کاملParticle Swarm Optimization with Smart Inertia Factor for Combined Heat and Power Economic Dispatch
In this paper particle swarm optimization with smart inertia factor (PSO-SIF) algorithm is proposed to solve combined heat and power economic dispatch (CHPED) problem. The CHPED problem is one of the most important problems in power systems and is a challenging non-convex and non-linear optimization problem. The aim of solving CHPED problem is to determine optimal heat and power of generating u...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- IJAEC
دوره 5 شماره
صفحات -
تاریخ انتشار 2014