Enhancement of Grid-Connected Photovoltaic Systems Using Artificial Intelligence
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Beschreibung
Enhancement of Grid-Connected Photovoltaic Systems Using Artificial Intelligence presents methods for monitoring transmission systems and enhancing distribution system performance using modern optimization techniques considering different multi-objective functions such as voltage loss sensitivity indexes, reducing total annual cost, and voltage deviation. The authors offer a comprehensive survey of distributed energy resources (DERs), explain the backward/forward sweep (BFS) power flow algorithm, and present simulation results on the optimal integration of photovoltaic-based distributed generators (PV-DG) and distribution static synchronous compensators (DSTATCOM) in different transmission and distribution systems. This book will be a valuable academic and industry resource for electrical engineers, students, and researchers working on optimization techniques, photovoltaic systems, energy engineering, and artificial intelligence.
- Covers developmentsto enhance the integration of renewable energy sources;
- Presents simulation results, including standard IEEE bus test systems;
- Includes MATLAB M-file codes.
Enhancement of Grid-Connected Photovoltaic Systems Using Artificial Intelligence presents methods for monitoring transmission systems and enhancing distribution system performance using modern optimization techniques considering different multi-objective functions such as voltage loss sensitivity indexes, reducing total annual cost, and voltage deviation. The authors offer a comprehensive survey of distributed energy resources (DERs), explain the backward/forward sweep (BFS) power flow algorithm, and present simulation results on the optimal integration of photovoltaic-based distributed generators (PV-DG) and distribution static synchronous compensators (DSTATCOM) in different transmission and distribution systems. This book will be a valuable academic and industry resource for electrical engineers, students, and researchers working on optimization techniques, photovoltaic systems, energy engineering, and artificial intelligence.
Covers developments to enhance the integration of renewable energy sources Presents simulation results, including standard IEEE bus test systems Includes MATLAB M-file codes
Autor*in
Amal M. Abd El- Hameid
Themen in »Enhancement of Grid-Connected Photovoltaic Systems Using Artificial Intelligence«
Optimization techniques Power system monitoring Photovoltaics Distributed generation Distributed static compensator (D-STATCOM) Voltage stability index Voltage deviation Equilibrium optimizer (EO) Modified ant lion optimization (MALO) Lightning attachment procedure optimization (LAPO) Photovoltaic-based distributed generators (PV-DG)