Abstract
In the new competitive electricity market, the accurate operation management of Micro-Grid (MG) with various types of renewable power sources (RES) can be an effective approach to supply the electrical consumers more reliably and economically. In this regard, this paper proposes a novel solution methodology based on bat algorithm to solve the op- timal energy management of MG including several RESs with the back-up of Fuel Cell (FC), Wind Turbine (WT), Photovoltaics (PV), Micro Turbine (MT) as well as storage devices to meet the energy mismatch. The problem is formulated as a nonlinear constraint optimization problem to minimize the total cost of the grid and RESs, simultaneously. In addition, the problem considers the interactive effects of MG and utility in a 24 hour time interval which would in- crease the complexity of the problem from the optimization point of view more severely. The proposed optimization technique is consisted of a self adaptive modification method compromised of two modification methods based on bat algorithm to explore the total search space globally. The superiority of the proposed method over the other well-known algorithms is demonstrated through a typical renewable MG as the test system.
Highlights
In recent years, high utilization of renewable power sources (RESs) in the form of distributed generations (DGs) has experienced rapid growth especially in the voltage level of distribution networks
This paper proposes a novel solution methodology based on bat algorithm to solve the optimal energy management of MG including several RESs with the back-up of Fuel Cell (FC), Wind Turbine (WT), Photovoltaics (PV), Micro Turbine (MT) as well as storage devices to meet the energy mismatch
It is supposed that all the active power produced by the PV and WT power sources are
Summary
High utilization of renewable power sources (RESs) in the form of distributed generations (DGs) has experienced rapid growth especially in the voltage level of distribution networks. MG problem is defined as the aggregation of DGs, electrical loads and generation interconnected among themselves and with the distribution network as well [2]. In the area of MG operation management, the solution techniques are experiencing continuous changing so that to keep these networks at the optimal operating point and control with different targets. In this regard, in recent years, several researches have been implemented to investigate the MG problem under different loading with different targets
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Journal of Intelligent Learning Systems and Applications
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
