Towards swarm optimization techniques for power communication systems and smart grid environments

Article type: Research Article

Authors: Liu, Yongchao | Zhang, Tao^{; *} | Li, Wenfang | Cheng, Tingting | Zhang, Yaping

Affiliations: State Grid Shandong Electric Power Company Marketing Service Center (Metrology Center), Jinan, 250000, China

Correspondence: [*] Corresponding author. E-mail: sgsepc_taozhang@163.com.

Abstract: Today, continuous technical and emerging advances between power communication systems and smart grids and applying swarm intelligence have increased for data sharing and analytics in our life. On the other side, Internet of things (IoT) has important key role to establish constructive interactions between smart devices and smart grid and power communication applications. For enhancing data transformation and improvements of multi-objective Quality of Service (QoS) factors, Swarm Optimization Techniques (SOT) are applied simultaneously in a cooperative smart environment to solve NP-hard problems. This paper provides a comprehensive analysis to address a new technical taxonomy and categorization of existing SOT-based smart grid applications in power communication systems in the IoT. Also, existing service and resource management case studies on smart grids and power communication systems are briefly analyzed and discussed. Existing evaluation factors on smart grid applications using SOT are represented. Possible advantages and weaknesses of each category are discussed with respect to new challenges and open research directions.

Keywords: Smart Grids, Internet of Things (IoT), Power Communication Networks, Swarm Optimization Techniques, Optimization, Energy Consumption

DOI: 10.3233/JHS-222080

Journal: Journal of High Speed Networks, vol. 29, no. 3, pp. 237-249, 2023