A review of typical applications of heuristic multi-objective optimization algorithms in energy and power systems
[1]Zhu Xiaodong,Wang Ying Young Joy Guo Yuanjun.A review of typical applications of heuristic multi-objective optimization algorithms in energy and power systems[J].Journal of Zhengzhou University (Engineering Science),2019,40(05):1-11.[doi:10.13705/j.issn.1671-6833.2019.05.010]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
40
Number of periods:
2019 05
Page number:
1-11
Column:
Public date:
2019-10-23
- Title:
- A review of typical applications of heuristic multi-objective optimization algorithms in energy and power systems
- Keywords:
- Multi objective optimization ; power system ; energy system ; Pareto optimal solution ; heuristic op ; timization algorithm
- CLC:
- -
- Abstract:
- Power and energy systems are the foundation of human survival and development in modem society. They played an indispensable role in daily production and life. However, significant inefficiencies and wastes found in the process of energy transmission and transformation, such as power generation and energy conversion, could result in increasingly environmental pollution and resource consumption. In order to create a low-carbon energy future, it was a necessary way to optimize the design and operation of energy and power systems aiming at maximization to the economic, environmental and social friendly benefit. After decades of development, Multi- objective heuristics optimization algorithms with characteristics of high flexibility, wide application range and high efficiency, have become crucial tools in the solving various engineering optimization. This paper aimed to systematically reviewing state-of-the-art heuristic based multi-objective optimization algorithms for solving six typical problems in power and energy systems. Comprehensive discussions on the methodologies and a brief in sight on future research direction have also been proposed.
- References:
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- Similar References:
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Last Update:
2019-10-26
