The Experts below are selected from a list of 6108 Experts worldwide ranked by ideXlab platform

Zuriani Mustaffa - One of the best experts on this subject based on the ideXlab platform.

  • Solving optimal Power flow problem with stochastic wind–solar–Small Hydro Power using barnacles mating optimizer
    Control Engineering Practice, 2021
    Co-Authors: Mohd Herwan Sulaiman, Zuriani Mustaffa
    Abstract:

    Abstract Optimal Power Flow (OPF) is a complex and challenging problem in Power system that includes non-convex and non-linear constrained optimization problems. Due to these features, solving the OPF problem is becoming a well-known area to be solved by researchers for the past decades especially involving with the proper optimizing of the control variables. This issue is vital to be solved in achieving the objectives while maintaining of the stability of the system. In this paper, recent metaheuristic algorithm namely Barnacles Mating Optimizer (BMO) will be used to solve three objective functions of OPF problem viz. (1) cost minimization of the Power generation that consists of thermal and stochastic wind–solar–Small Hydro Power generations, (2) Power loss minimization, and (3) combined cost and emission minimization of mentioned Power generations. To assess the performance of BMO into OPF problem, modified IEEE 30-bus and IEEE 57-bus systems that incorporate the stochastic wind–solar–Small Hydro Power generators will be employed. Statistical studies are performed to show the feasible and effectiveness of BMO compared with other selected metaheuristic algorithms. Based on the obtained results, the BMO has shown the best results for all cases of simulation study. For example, the cost of Power generations obtained by BMO for IEEE 30-bus and IEEE 57-bus systems are 789.1248 $/h and 5300.457 $/hr, respectively which 1.45% and 2.2% cost saving per hour compared to the worst results obtained from compared algorithms. The results suggest that BMO performs better compared to the rest of algorithms and demonstrate as effective alternative for the OPF problem solution.

Mats Leijon - One of the best experts on this subject based on the ideXlab platform.

Mohd Herwan Sulaiman - One of the best experts on this subject based on the ideXlab platform.

  • Solving optimal Power flow problem with stochastic wind–solar–Small Hydro Power using barnacles mating optimizer
    Control Engineering Practice, 2021
    Co-Authors: Mohd Herwan Sulaiman, Zuriani Mustaffa
    Abstract:

    Abstract Optimal Power Flow (OPF) is a complex and challenging problem in Power system that includes non-convex and non-linear constrained optimization problems. Due to these features, solving the OPF problem is becoming a well-known area to be solved by researchers for the past decades especially involving with the proper optimizing of the control variables. This issue is vital to be solved in achieving the objectives while maintaining of the stability of the system. In this paper, recent metaheuristic algorithm namely Barnacles Mating Optimizer (BMO) will be used to solve three objective functions of OPF problem viz. (1) cost minimization of the Power generation that consists of thermal and stochastic wind–solar–Small Hydro Power generations, (2) Power loss minimization, and (3) combined cost and emission minimization of mentioned Power generations. To assess the performance of BMO into OPF problem, modified IEEE 30-bus and IEEE 57-bus systems that incorporate the stochastic wind–solar–Small Hydro Power generators will be employed. Statistical studies are performed to show the feasible and effectiveness of BMO compared with other selected metaheuristic algorithms. Based on the obtained results, the BMO has shown the best results for all cases of simulation study. For example, the cost of Power generations obtained by BMO for IEEE 30-bus and IEEE 57-bus systems are 789.1248 $/h and 5300.457 $/hr, respectively which 1.45% and 2.2% cost saving per hour compared to the worst results obtained from compared algorithms. The results suggest that BMO performs better compared to the rest of algorithms and demonstrate as effective alternative for the OPF problem solution.

Karin Thorburn - One of the best experts on this subject based on the ideXlab platform.

Mathias Odje - One of the best experts on this subject based on the ideXlab platform.

  • Harnessing the potential of Small Hydro Power in Cross River state of Southern Nigeria
    Sustainable Energy Technologies and Assessments, 2020
    Co-Authors: Kenneth E. Okedu, Roland Uhunmwangho, Mathias Odje
    Abstract:

    Abstract Recently, the use of Hydro Power as a renewable energy source, to provide Power solutions is on the rise. Currently, one-fifth of the global electricity generation is from Hydro Power technology. In this study, the potential of harnessing Small Hydro Power (SHP) in Cross River State of the southern part of Nigeria is presented, considering the different sites of Hydro Power in the entire state. The concentration of SHP potential sites is skewed heavily towards regions with hills and forest cover. The cost of the SHP project in this work is based on Power potential of flow at the lean season, however, the actual cost was established based on the extracted peak seasonal Power. In the ranking of the sites for the study, Power potential and cost were used as criteria. The recommended top three sites based on the ranking of the SHP projects were: Kwa Falls, located in Akamkpa, Kundeve stone market stream, located in Obanliku and Ajasor mission Atang stream, located in Etung. Other criteria used for the selection of sites for development includes: isolation from the grid, high cost of transmitting Power from the grid to such communities, economic potential, population and development goals of the government.