Special edition of the International Journal of Electric Power and Energy Systems: The 18th Power Systems Computation Conference (PSCC 2014)

Author(s):  
Keith Bell ◽  
Olav Fosso ◽  
Tharam Dillon
2018 ◽  
Vol 5 (2) ◽  
pp. 847-870 ◽  
Author(s):  
Guneet Bedi ◽  
Ganesh Kumar Venayagamoorthy ◽  
Rajendra Singh ◽  
Richard R. Brooks ◽  
Kuang-Ching Wang

Author(s):  
Abdullah Alshaalan

Power systems' planning, particularly in developing countries, faces enormous challenges and problems such as defining the future load growth in the face of uncertainties. Renewable energies are coming to the arena and affecting the planning of power and energy systems. The relation between power generation, transmission, and distribution entities, as well as the need for consolidating the dispersed electric utilities in the isolated regions is a prerequisite for future planning. Plenty of technologies, systems, and contractors are coming off the road while an optimal reliability levels need to be achieved. This chapter attempts to display the most tedious and prominent problems and challenges that face innovating the electric power systems which must be based on two major factors, namely reliability and cost. This chapter will help in drafting a new contracting style that mitigate obstacles that face power systems planners and concerned agencies while planning and operating electric power facilities.


2021 ◽  
Vol 51 (4) ◽  
pp. 2036-2040
Author(s):  
Ratnesh Kumar ◽  
Thomas I. Strasser ◽  
Geert Deconinck ◽  
Chun Sing Lai ◽  
Loi Lei Lai

Energies ◽  
2020 ◽  
Vol 13 (19) ◽  
pp. 5097
Author(s):  
Gianfranco Chicco ◽  
Andrea Mazza

In the power and energy systems area, a progressive increase of literature contributions that contain applications of metaheuristic algorithms is occurring. In many cases, these applications are merely aimed at proposing the testing of an existing metaheuristic algorithm on a specific problem, claiming that the proposed method is better than other methods that are based on weak comparisons. This ‘rush to heuristics’ does not happen in the evolutionary computation domain, where the rules for setting up rigorous comparisons are stricter but are typical of the domains of application of the metaheuristics. This paper considers the applications to power and energy systems and aims at providing a comprehensive view of the main issues that concern the use of metaheuristics for global optimization problems. A set of underlying principles that characterize the metaheuristic algorithms is presented. The customization of metaheuristic algorithms to fit the constraints of specific problems is discussed. Some weaknesses and pitfalls that are found in literature contributions are identified, and specific guidelines are provided regarding how to prepare sound contributions on the application of metaheuristic algorithms to specific problems.


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