Joint Planning of Smart EV Charging Stations and DGs in Eco-Friendly Remote Hybrid Microgrids
Date
2019Author
Shaaban, Mostafa
Mohamed, Sayed
Ismail, Muhammad
Qaraqe, Khalid
Serpedin, Erchin
Advisor(s)
Unknown advisorType
Article
Peer-Reviewed
Postprint
Metadata
Show full item recordAbstract
This paper proposes an efficient planning algorithm for allocating smart electric vehicle (EV) charging stations in remote communities. The planning problem jointly allocates and sizes a set of distributed generators (DGs) along with the EV charging stations to balance the supply with the total demand of regular loads and EV charging. The planning algorithm specifies optimal locations and sizes of the EV charging stations and DG units that minimize two conflicting objectives: (a) deployment and operation costs and (b) associated green house gas emissions, while satisfying the microgrid technical constraints. This is achieved by iteratively solving a multi-objective mixed integer non-linear program. An outer sub-problem determines the locations and sizes of the DG units and charging stations using a non-dominated sorting Genetic algorithm (NSGA-II). Given the allocation and sizing decisions, an inner sub-problem ensures smart, reliable, and eco-friendly operation of the microgrid by solving a non-linear scheduling problem. The proposed algorithm results in a Pareto frontier that captures the trade-off between the conflicting planning objectives. Simulation studies investigate the performance of the proposed planning algorithm in order to obtain a compromise planning solution.DSpace URI
http://hdl.handle.net/11073/21639External URI
https://doi.org/10.1109/TSG.2019.2891900Collections
Related items
Showing items related by title, author, creator and subject.
-
Renewable and Storage Energy Integration for Smart Grid Housing
Al-Ali, Abdulrahman; El-Hag, Ayman; Bahadiri, Mujib; Harbaji, Mustafa; El Haj, Youssef (2012-03)This paper presents the design, implementation and testing of an embedded system that integrates solar and storage energy resources to smart homes within the smart microgrid. The proposed system provides the required home ... -
Assessing the Impact of Reactive Power Droop on Inverter Based Microgrid Stability
Lasheen, Ahmed; Ammar, M. E.; Zeineldin, H. H.; Al-Durra, Ahmed; El-Saadany, Ehab; Shaaban, Mostafa (IEEE, 2021-01)Droop control is the most common approach for controlling inverter-based micro-grids. The active power droop gain has always been considered as the main parameter for identifying the micro-grid stability margin. Increasing ... -
A multi-objective planning approach for optimal DG allocation for droop based microgrids
Shaaban, Mostafa; Saber, A.; Ammar, M. E.; Zeineldin, H. H. (Elsevier, 2021-11)This paper proposes a multi-objective planning approach to determine the optimal DG locations for droop-based microgrids. A secondary control operating region is mathematically formulated and incor-porated in the multi-objective ...