Generalized Normal Distribution Optimization Algorithm for Economic Dispatch with Renewable Resources Integration
Abstract
(ISSN 2690-1692)
Journal of Energy and Power Technology (JEPT) is an international peer-reviewed Open Access journal published quarterly online by LIDSEN Publishing Inc. This periodical is dedicated to providing a unique, peer-reviewed, multi-disciplinary platform for researchers, scientists and engineers in academia, research institutions, government agencies and industry. The journal is also of interest to technology developers, planners, policy makers and technical, economic and policy advisers to present their research results and findings.
Journal of Energy and Power Technology focuses on all aspects of energy and power. It publishes original research and review articles and also publishes Survey, Comments, Perspectives, Reviews, News & Views, Tutorial and Discussion Papers from experts in these fields to promote intuitive understanding of the state-of-the-art and technology trends.
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Archiving: full-text archived in CLOCKSS.
Publication Speed (median values for papers published in 2022): Submission to First Decision: 4 weeks; Submission to Acceptance: 12 weeks; Acceptance to Publication: 11 days (1-2 days of FREE language polishing included)
Special Issue
Machine Learning and Metaheuristic Optimizations for Power System Management
Submission Deadline: April 30, 2024 (Open) Submit Now
Guest Editors
Md Rashidul Islam
Department of Electrical and Electronic Engineering (EEE), International Islamic University Chittagong (IIUC), Sitakunda, Chittagong-4318, Bangladesh
Research interests: Microgrid; optimization; power system operation and control
Md Shafiullah, PhD
Interdisciplinary Research Center for Renewable Energy and Power Systems King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia
Research interests: Power system stability; intelligent energy management; machine learning; smart grid data analytics
About This Topic
Dear Colleagues,
Modern power system networks incorporate many critical components, including intermittent renewable energy resources, critical and non-critical loads, and the active participation of various stakeholders. Such incorporation into the most complex infrastructures ever devised by human-being requires a lot of sophisticated tools and strategies for their stable and reliable operation. With the invention of high computing devices, the application of computational and artificial intelligence techniques gained huge momentum for the effective management of power systems.
This Special Issue is a unique platform for power system researchers and decision-makers. The researchers present their state-of-the-art research findings and observations that come from the deployment of various machine learning and metaheuristic optimization strategies in the power sector, and the decision-makers will adopt appropriate technologies for the management of electric utilities. The scope of the issue includes:
Md Rashidul Islam
Md Shafiullah
Guest Editors
Publication
Generalized Normal Distribution Optimization Algorithm for Economic Dispatch with Renewable Resources IntegrationAbstract In an electric power system operation, the main goal of economic dispatch (ED) is to schedule the power outputs of committed generating units efficiently. This involves consideration of relevant system equality and inequality constraints to meet the required power demand at the lowest possible operational cost. This is a challenging optimi [...] |
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