2013 International Conference on Power, Energy and Control (ICPEC) 06-08 February 2013 ISBN 978-1-4673-6029-6 EEE-PSNA CET, Dindigul, Tamilnadu, INDIA A Novel Seeker Optimization Approach for Solving Combined Economic and Emission Dispatch Mahaboob Shareef Syed 1,* Abdul Rahim Syed 2 Y.Srinivasa Rao 3 1 School of Electrical and Electronics Engineering, Vignan University, Guntur, Andhra Pradesh, India, alif.shareef@gmail.com 2 Department Of Electronics & Communication Engineering, Andhra Loyola College of engineering and technology, Vijayawada, Andhra Pradesh, India 3 Department of Electrical and Electronics Engineering, K L University, Green Fields, Vaddeswaram, Guntur, Andhra Pradesh, INDIA. Abstract — over the past 50 years the average global temperature has increased at the fastest rate in record history. The main reason behind this is emission of Carbon dioxide from thermal power plants. The U.S only produces 2.5 billion tons every year. This paper solves the problem of emission dispatch including economic dispatch combining as combined economic dispatch and emission dispatch (CEED). Economic dispatch gives a solution to reduce the total fuel cost while Emission dispatch is to reduce the emission level with the required system constraints. In this paper Particle swarm Optimization is used to solve CEED on a test system and the results are compared with Ant Colony Optimization (ACO) algorithm. Index Terms— Economic Dispatch, Emission dispatch, Particle swarm Optimization, Ant Colony Optimization. I. INTRODUCTION In these present days the world is more concerned about the environmental issues. Natural disasters like Tsunami, hurricanes etc are because of Global warming. The main reason for Global warming is the emission of green house gases from the fossil fuel fired plants. These green house gases include Carbon (CO x ), Nitrogen (NO x ) and Sulfur (SO x ) components [1]. Emission dispatch is to reduce the emission levels from the thermal plants [2]. Economic load dispatch is allocation of generation to the available generators such that to reduce the total fuel cost of the plants with due regard to the system equality and inequality constraints [3]. II. MATHEMATICAL PROBLEM FORMULATION Economic Dispatch objective is only the reduction of total fuel cost, while Emission Dispatch deals only with the reducing of NOx from the emissions of the thermal plants. The two objectives can be obtained by combining Economic and Emission dispatch as a Combined Economic and Emission Dispatch (CEED) and formulated as follows: A. ECONOMIC DISPATCH The objective function for Economic Dispatch is Minimize   ∑        Rs / hr (1) Where   = Total fuel cost, N = Number of generators in a Thermal plant and,      = Fuel cost of i th generator to generate the real power P i . The Fuel cost function can be represented by a quadratic expression [3] and mathematically it is given as in (2)                Rs / hr. (2) Where   ,   and   are the cost coefficients of the i th generator. B. EMISSION DISPATCH The objective function for Emission Dispatch is Minimize   ∑        Kg / hr (3)