Optimal Operational Scheduling of Reconfigurable Microgrids in Presence of Renewable Energy Sources

Autor: Amjad Anvari-Moghaddam, Fatma Yaprakdal, Mustafa Baysal
Rok vydání: 2019
Předmět:
Optimal dispatch (od)
Mathematical optimization
optimal dispatch (OD)
Control and Optimization
Optimization problem
Computer science
020209 energy
Energy Engineering and Power Technology
02 engineering and technology
Network topology
lcsh:Technology
Scheduling (computing)
Electric power system
0202 electrical engineering
electronic engineering
information engineering
operational scheduling
Electrical and Electronic Engineering
Engineering (miscellaneous)
network reconfiguration (NR)
RMG
SPSO
Network reconfiguration
Optimal dispatch
lcsh:T
Renewable Energy
Sustainability and the Environment
business.industry
020208 electrical & electronic engineering
Rmg
Particle swarm optimization
Control reconfiguration
Renewable energy
Operational scheduling
Electricity generation
Distributed generation
Network reconfiguration (nr)
business
Energy (miscellaneous)
Zdroj: Yaprakdal, F, Baysal, M & Anvari-Moghaddam, A 2019, ' Optimal Operational Scheduling of Reconfigurable Microgrids in Presence of Renewable Energy Sources ', Energies, vol. 12, no. 10, en12101858 . https://doi.org/10.3390/en12101858
Energies, Vol 12, Iss 10, p 1858 (2019)
Energies; Volume 12; Issue 10; Pages: 1858
ISSN: 1996-1073
DOI: 10.3390/en12101858
Popis: Passive distribution networks are being converted into active ones by incorporating distributed means of energy generation, consumption, and storage, and the formation of so-called microgrids (MGs). As the next generation of MGs, reconfigurable microgrids (RMGs) are still in early phase studies, and require further research. RMGs facilitate the integration of distributed generators (DGs) into distribution systems and enable a reconfigurable network topology by the help of remote-controlled switches (RCSs). This paper proposes a day-ahead operational scheduling framework for RMGs by simultaneously making an optimal reconfiguration plan and dispatching controllable distributed generation units (DGUs) considering power loss minimization as an objective. A hybrid approach combining conventional particle swarm optimization (PSO) and selective PSO (SPSO) methods (PSO&SPSO) is suggested for solving this combinatorial, non-linear, and NP-hard complex optimization problem. PSO-based methods are primarily considered here for our optimization problem, since they are efficient for power system optimization problems, easy to code, have a faster convergence rate, and have a substructure that is suitable for parallel calculation rather than other optimization methods. In order to evaluate the suggested method’s performance, it is applied to an IEEE 33-bus radial distribution system that is considered as an RMG. One-hour resolution of the simultaneous network reconfiguration (NR) and the optimal dispatch (OD) of distributed DGs are carried out prior to this main study in order to validate the effectiveness and superiority of the proposed approach by comparing relevant recent studies in the literature.
Databáze: OpenAIRE
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