Energy Management for Supercapacitor-Battery-Solar Panel Hybrid Energy Storage System Using Computational Intelligence

Research output: Contribution to conferenceConference paper presented at Conference (not in Proceedings)

Abstract

Using renewable energy as power source is of great importance in our modern society. In this work, design and implementation of hybrid energy storage system to provide electricity from solar energy in a consistent manner is demonstrated. Different computational intelligence algorithms and methods, namely support vector machines, neural networks together with evolutionary optimisation algorithms, have been used to minimise the production costs and eliminate power cut during peak hours of electricity consumption. Support vector machines and neural networks have been applied for prediction of the electricity consumption during the peak hours, and evolutionary optimisation algorithms have been used for minimising the production costs and finding the optimal numbers of components in the hybrid energy storage system.
Original languageEnglish
Publication statusPublished - 2021
Externally publishedYes
EventThe 12th Asia-Pacific Power and Energy Engineering Conference - Xi'an, China
Duration: 17 Apr 202119 Apr 2021
Conference number: 12

Conference

ConferenceThe 12th Asia-Pacific Power and Energy Engineering Conference
Abbreviated titleAPPEEC 2021
Country/TerritoryChina
CityXi'an
Period17/04/2119/04/21

Fingerprint

Dive into the research topics of 'Energy Management for Supercapacitor-Battery-Solar Panel Hybrid Energy Storage System Using Computational Intelligence'. Together they form a unique fingerprint.

Cite this