scholarly journals Optimisation of wall insulation thickness using energy management strategies: Intermittent versus continuous operation schedule

2022 ◽  
Vol 49 ◽  
pp. 101778
Author(s):  
Ekrem Tunçbilek ◽  
Anna Komerska ◽  
Müslüm Arıcı
Keyword(s):  
Energy Management ◽  
Management Strategies ◽  
Continuous Operation ◽  
Insulation Thickness ◽  
Operation Schedule

Microgrid energy management strategies assessment through coupled thermal-electric considerations

2021 ◽  
Vol 228 ◽  
pp. 113711
Author(s):  
Spyridon Chapaloglou ◽  
Athanasios Nesiadis ◽  
Konstantinos Atsonios ◽  
Nikos Nikolopoulos ◽  
Panagiotis Grammelis ◽  
...  
Keyword(s):  
Energy Management ◽  
Management Strategies ◽  
Microgrid Energy Management

scholarly journals Leveraging a Genetic Algorithm for the Optimal Placement of Distributed Generation and the Need for Energy Management Strategies Using a Fuzzy Inference System

Electronics ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 172
Author(s):  
Sunny Katyara ◽  
Muhammad Fawad Shaikh ◽  
Shoaib Shaikh ◽  
Zahid Hussain Khand ◽  
Lukasz Staszewski ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Energy Management ◽  
Fuzzy Inference System ◽  
Distribution System ◽  
Fuzzy Inference ◽  
Management Strategies ◽  
Test System ◽  
Optimal Placement ◽  
Inference System ◽  
Simulated Environment

With the rising load demand and power losses, the equipment in the utility network often operates close to its marginal limits, creating a dire need for the installation of new Distributed Generators (DGs). Their proper placement is one of the prerequisites for fully achieving the benefits; otherwise, this may result in the worsening of their performance. This could even lead to further deterioration if an effective Energy Management System (EMS) is not installed. Firstly, addressing these issues, this research exploits a Genetic Algorithm (GA) for the proper placement of new DGs in a distribution system. This approach is based on the system losses, voltage profiles, and phase angle jump variations. Secondly, the energy management models are designed using a fuzzy inference system. The models are then analyzed under heavy loading and fault conditions. This research is conducted on a six bus radial test system in a simulated environment together with a real-time Power Hardware-In-the-Loop (PHIL) setup. It is concluded that the optimal placement of a 3.33 MVA synchronous DG is near the load center, and the robustness of the proposed EMS is proven by mitigating the distinct contingencies within the approximately 2.5 cycles of the operating period.

Performances of energy management strategies for a Photovoltaic/Battery microgrid considering battery degradation

Solar Energy ◽  
2021 ◽  
Vol 230 ◽  
pp. 654-665
Author(s):  
Sarah Ouédraogo ◽  
Ghjuvan Antone Faggianelli ◽  
Guillaume Pigelet ◽  
Gilles Notton ◽  
Jean Laurent Duchaud
Keyword(s):  
Energy Management ◽  
Management Strategies ◽  
Battery Degradation
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