Economic Dispatch with Integrated Wind-thermal using Particle Swarm Optimization

R. Saravanan; S. Subramanian; V. Dharmalingam; S. Ganesan

doi:https://doi.org/10.51976/ijari.511729

Submit Manuscript Login / Register Subscribe

Home Page

Editorial Advisory Board

Mission, Aims & Scope

Current Issue

Economic Dispatch with Integrated Wind-thermal using Particle Swarm Optimization

R. Saravanan, S. Subramanian, V. Dharmalingam, S. Ganesan

Vol 5 , Issue 1 , January - March 2017 | Pages: 181-184 | Research Paper

https://doi.org/10.51976/ijari.511729

Received: January 25, 2017 | Revised: February 20, 2017 | Accepted: February 28, 2017 | Published Online: March 15, 2017

Author Details ( * ) denotes Corresponding author

1. * R. Saravanan, Deaprtment of Mechcnial Engineering, Annamalai University, Chidambaram, Annamalainagar, Tamil Nadu, India (jajivarghese@gmail.com)

2. S. Subramanian, Deaprtment of Mechcnial Engineering, Annamalai University, Chidambaram, Annamalainagar, Tamil Nadu, India

3. V. Dharmalingam, Pandian Saraswathi Yadav Engineering College, Sivagangai, Tamil Nadu, India

4. S. Ganesan, Deaprtment of Mechcnial Engineering, Annamalai University, Chidambaram, Annamalainagar, Tamil Nadu, India

The Economic dispatch is an important optimization task in power system. Thermal power plants are the major electrical energy producers. Need for renewable energy occurs due to the extinction of fossil fuels. Hence, it is necessary to operate these renewable plants with the thermal plants. In India, especially in Tamilnadu, Wind is the renewable plant which is widely available. The problem with the wind plant is its unpredictability.Hence, better wind thermal coordination economic dispatch method is necessary to integrate wind power reliably and efficiently. In this paper, Particle swarm optimization (PSO) technique is utilized to coordinate the wind and thermal generation dispatch and to minimize the total production cost. Ten units of thermal system incorporating wind power plant is utilized for numerical simulation. Different simulations with and without wind power production are simulated. Simulation result shows the effectiveness of wind power generation in reducing total fuel cost when compared with the genetic algorithm.

Keywords

Interlaminar Stress; Sandwich Composites; Face Sheet; Core; Laminate; FEM; Flexural Stiffness; Fiber Orientation Angle

T. Vijaikumar , R. Saravanan, "Wind-Thermal Coordination Using Genetic Algorithm", International conference on Electrical, Information and communication technology by IJARI, ICEICT – 2015.

Bart C. Ummels, Madeleine Gibescu, Engbert Pelgrum, Wil L Kling, Arno J. Brand, “Impacts of Wind Power on Thermal Generation Unit Commitment and Dispatch”, IEEE Transactions on Energy Conversion, Vol. 22, No. 1, Mar. 2007, pp. 44-51.

Amita Mahor, Vishnu Prasad, Saroj Rangnekar, "Economic dispatch using particle swarm optimization", In ELSEIVER Renewable and Sustainable Energy Reviews 13 (2009) 2134–2141.

V.Karthikeyan, S.Senthilkumar, V.J.Vijayalakshmi, “A new approach to the solution of economic dispatch using Particle Swarm Optimization with Simulated Annealing”, IJCSA Vol.3, No.3, June 2013.

K. Dhayalini, S. Sathiyamoorthy, C. Christober Asir Rajan, "Genetic Algorithm for the coordination of wind thermal dispatch".

Chen, C.L., Lee, T.L. and Jan, R.M., ‘Optimal wind–thermal coordination dispatch in isolated power systems with large integration of wind capacity’, Energy Conversion Management, 47 (2006), No. 18–19, pp. 3456–3472.

Dr. L.V.Narasimha Rao, “PSO Technique for Solving the Economic Dispatch Problem Considering the Generator Constraints”, on IJAREEIE, Vol. 3, Issue 7, July 2014