Optimization of High-Dimensional, Expensive, Black-Box Integrated Energy and Power Systems
A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Algorithms for Multidisciplinary Applications".
Deadline for manuscript submissions: 15 July 2024 | Viewed by 84
Special Issue Editor
Interests: RD&D project management and business development; entrepreneurship and innovation; evolutionary algorithms development and application; global optimization techniques; surrogate models and metamodeling; artificial intelligence; energy system modeling, simulation, and optimization; energy transition and sustainable development
Special Issue Information
Dear Colleagues,
The optimization of complex integrated renewable energy systems refers to the process of systematically improving the performance and efficiency of a renewable energy setup that involves multiple interconnected components. This optimization may involve determining the optimum configuration, operation strategy, geometry design, or resource allocation to maximize the energy output, minimize costs, or achieve other specified objectives. It often requires advanced mathematical modeling, simulation, and optimization techniques to handle the complexity and interdependencies within the system. Its aim is to enhance the overall sustainability and effectiveness of renewable energy generation, storage, and utilization.
Based on this, optimizing high-dimensional, expensive, black-box (HEB) integrated power systems and renewable energy sources (RES) typically involves utilizing advanced optimization algorithms, surrogate models, and domain-specific knowledge. For this purpose, designers should consider sophisticated techniques like population-based algorithms and leverage parallel computing for efficiency. Developing surrogate models could help approximate the black-box system, making optimization more tractable. In this way, the collaboration of energy experts and mathematicians could be helpful regarding the incorporation of domain knowledge and constraints into the optimization process.
The effective implementation and application of in-house developed optimization techniques and/or algorithms will be an important part of such research. Meanwhile, the seamless integration of different tools and methods will be unavoidable when aiming to achieve the objective of these studies.
Dr. Amir Safari
Guest Editor
Manuscript Submission Information
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Keywords
- renewable energy
- optimization
- multi-objective optimization
- power systems
