Economically efficient, environment friendly & power stack shed reduction energy management system by utilizing renewable energy resources for remote hilly areas of Pakistan. (2021)

• Record Type: Journal Article
• Authors: Riaz, Mughees; Arslan Iqbal Awan, M.; Khalil, Linta; Mushtaq, Irfan; Liaquat Bhatti, Kamran; Siddique, Muhammad
• Is Part Of: Materials today. Volume 47:Suppement(2021)
• Page Start: S59
• Page End: S63
• Publication Date: 2021
• Subjects: Branch and Bound (B&B) -- Binary integer linear programming (BILP) -- Renewable Energy -- Energy Management -- Power Stack Shedding; Materials science -- Congresses -- Periodicals; 620.1
• DOI: 10.1016/j.matpr.2020.05.079
• Languages: English
• ISSNs: 2214-7853

Abstract

Abstract: In the current era, Energy Management has now become one of the most vital aspects of the power or energy system all over the world. With the increase in the power demand, generation capacity can't be increased due to various economic, ecological and climate changing factors. Due to the depletion of the non-renewable energy sources with time, it is the need of the time to manage the electricity usage in such a way so that it can be maintained and sustained well with the increasing demand. Pakistan is facing several power and energy crisis issues. Along with the increasing power generation capacity it is quite necessary to manage the energy generation and utilization so that the power demand can be met satisfactorily. Energy Management in hilly areas of the country zone is a crucial issue for economical hydro, solar, wind and agriculture sustainability. In this paper, effective energy management demonstration of Renewable Energy Resources is produced to guarantee continuous supply of energy for remote hilly areas. In the proposed plot, power should be produced through water, wind and solar energy. Different wellsprings of energy management are being utilized to deal with the discontinuous nature of sustainable assets and unpredicted power stack shedding. Furthermore, limiting the ecological effects and cost of power to customers by utilizing multi-objective streamlining method. The proposed multi-objective optimization problem will be solved by using Binary Integer Linear Programming (BILP) incorporated by Branch & Bound Algorithm on MATLAB.