Title
Expert System in MicroPower Grid Planning
Document Type
Conference Proceeding
Abstract
This work focuses on the potential of expert System(ES) in solving complicated and Contradicting problems in the field of power system planning. Conventional optimization methods are inappropriate in many cases of optimization problem solutions. Artificial Intelligence (AI) albeit rather Convenient for solution of some optimization problems of power systems, however, the need for good starting point helps greatly for achieving proper and fast conversion. Experience of professional engineers is very crucial in reaching the optimal solution. In this paper we introduce ES technique as a helpful tool in Micro Power grid (MPG) planning by suggesting a strong starting point for optimization techniques in both conventional and AI methods. A knowledge base chain rules for two major problems are investigated; distributed generators(DG) and capacitor allocation. Effectiveness of the proposed knowledgebase is tested through the standard IEEE 14-bus system.
Publication Date
5-10-2021
Faculty
Faculty of Dentistry
Subject Area
Health Sciences, General Medicine
Indexed in Scopus
yes
DOI
https://doi.org/10.1109/AIIoT52608.2021.9454196
Keywords
Artificial Intelligence (AI), Distributed generators (DG), Expert System (ES), Micro Power Grid (MPG)
Recommended Citation
Moussa, Sahar A.; Aziz, Ahmed Essam Abdel; Ahmed, Rania Magdy; Hendawy, Nada Adel; Nasr, Hesham Ayman; and Shalaby, Mohamed Adel, "Expert System in MicroPower Grid Planning" (2021). Faculty of Dentistry. 83.
https://pks.pua.edu.eg/dentistry_publications/83