Linear interpolated multi-objective economic emission scheduling using grey wolf optimizer: a strategic balance and solution with diverse load pattern

• Kalyan Sagar Kadali ^[1] ; Moorthy Veeraswamy ^[2] ; Marimuthu Ponnusamy ^[3] ; Viswanatha Rao Jawalkar ^[4]
  1. [1] Shri Vishnu Engineering College for Women, India
  2. [2] KKR & KSR Institute of Technology and Sciences, India
  3. [3] Malla Reddy Engineering College, India
  4. [4] VNR Vignana Jyothi College of Engineering and Technology, India

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• Localización: Compel: International journal for computation and mathematics in electrical and electronic engineering, ISSN 0332-1649, Vol. 41, Nº 1, 2022, págs. 427-454
• Idioma: inglés
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  • Purpose – The purpose of this paper is to focus on the cost-effective and environmentally sustainable operation of thermal power systems to allocate optimum active power generation resultant for a feasible solution in diverse load patterns using the grey wolf optimization (GWO) algorithm.

    Design/methodology/approach – The economic dispatch problem is formulated as a bi-objective optimization subjected to several operational and practical constraints. A normalized price penalty factor approach is used to convert these objectives into a single one. The GWO algorithm is adopted as an optimization tool in which the exploration and exploitation process in search space is carried through encircling, hunting and attacking.

    Findings – A linear interpolated price penalty model is developed based on simple analytical geometry equations that perfectly blend two non-commensurable objectives. The desired GWO algorithm reports a new optimum thermal generation schedule for a feasible solution for different operational strategies. These are better than the earlier reports regarding solution quality.

    Practical implications – The proposed method seems to be a promising optimization tool for the utilities, thereby modifying their operating strategies to generate electricity at minimum energy cost and pollution levels. Thus, a strategic balance is derived among economic development, energy cost and environmental sustainability.

    Originality/value – A single optimization tool is used in both quadratic and non-convex cost characteristics thermal modal. The GWO algorithm has discovered the best, cost-effective and environmentally sustainable generation dispatch.