Application of Differential Evolution for Wind Turbine Micrositing

Abstract

WTM (Wind Turbine Micrositing) has been an important topic of discussion in recent times. A number of Evolutionary Algorithms have been applied to the WTM problem. The DEA (Differential Evolution Algorithm) is used for a bi-constrained optimization for getting maximum power production at the least cost from a 2x2 km space. It is shown that the DEA performs comparably to the GA (Genetic Algorithms) for wind farm optimization. The optimal configuration obtained enlists the number of turbines, the cost of power generated as well as the power produced. Moreover, this study is augmented by comparison with past approaches by using the GA for the same purpose.

Authors and Affiliations

Shafiq-Ur-Rehman Massan, Asim Imdad Wagan, Muhammad Mujtaba Shaikh, Muhammad Saleh Shah

Keywords

Related Articles

JSOPT: A Framework for Optimization of JavaScript on Web Browsers

In the current era where multi-core technologies are very common in use, the existing web browsers are unable to fully utilize the capability of multi-core processors.The web browsers execute the JavaScript code locally...

Application of Lean Agile Resilient Green Paradigm Framework on China Pakistan Economic Corridor: A Case Study

China has recently emerged as the technological and economic giant and an attractive place for investment for MCNs (Multi-National Companies). Many of the high ranked MNC?s have shifted their production facilities to Chi...

A Family of 2n-Point Ternary Non-Stationary Interpolating Subdivision Scheme

This article offers 2n-point ternary non-stationary interpolating subdivision schemes, with the tension parameter, by using Lagrange identities. By choosing the suitable value of tension parameter, we can get different l...

Optimization by Genetic Algorithm in Wireless Sensor Networks Utilizing Multiple Sinks

WSN (Wireless Sensor Network) comprises of small-sized and constraint-capability SN (Sensor Nodes) which record, send and receive data, sensed to a sink. The network lifetime and energy usability are important challenges...

Assurance due to the Usage of Two ERP Methods: Microsoft Dynamics AX and SAP

A speculation-based resource organising technique aids agencies in routing information across many industrial components. Organisation functions through IT (Information Technology) with the use of the latest technology h...

Download PDF file
  • EP ID EP183094
  • DOI 10.22581/muet1982.1702.13
  • Views 140
  • Downloads 0

How To Cite

Shafiq-Ur-Rehman Massan, Asim Imdad Wagan, Muhammad Mujtaba Shaikh, Muhammad Saleh Shah (2017). Application of Differential Evolution for Wind Turbine Micrositing. Mehran University Research Journal of Engineering and Technology, 36(2), 353-366. https://europub.co.uk./articles/-A-183094