Optimal Allocation of Distributed Generation in Microgrid by Considering Load Modeling
محورهای موضوعی : مهندسی هوشمند برق
Ferinar Moaidi
1
(K. N. Toosi University of technology, Tehran, Iran.)
Masoud Aliakbar Golkar
2
(K. N. Toosi University of Technology)
کلید واژه: Distributed Generation (DG), Genetic Algorithm (GA), Limited Constraint Method (LCM), load modelling,
چکیده مقاله :
Recent increment in carbon emission due to the dependency on fossil fuels in power generation sector is a critical issue in the last decade. The motivation to Distributed Generation (DG) in order to catch low carbon networks is rising. This research seeks to experience DG existence in local energy servicing in microgrid structure. Optimal sizing and placement of DG units is followed by this paper for simultaneous power loss reduction and voltage profile improvement. Optimization is solved by applying Limited Constraint Method (LCM) for converting of multi-objective problem to single-objective one. A typical Genetic Algorithm (GA) is presented from the array of artificial intelligence methods for solving the optimization problem. The algorithm is implemented on the IEEE 33 buses standard network. This study is presented in two scenarios, primarily to elaborate the effect of location and determination of DGs has been done to reduce losses and improve the voltage profile. Secondly, the research shows the necessity to load modeling in case of DG presence in networks.
