Cloud-based Optimal Energy Scheduling of Photovoltaics and Electric Vehicle-integrated Community Microgrids

2022-01-01
Zehir, Mustafa Alparslan
Tufan Dogan, Osman
Merdanoglu, Hakan
Yakici, Ertan
Duran, Serhan
Can Akyildirim, Hayri
© 2022 IEEE.Community microgrid is one of the promising pathways to achieve higher levels of penetration of distributed generation from intermittent renewables and energy storage, further electrify heat and transport and enable active energy customers. Optimal energy scheduling of wide range and large number of flexible asset, using operational information from stakeholders (such dynamic pricing rates) and relying on customer preferences has been a processing power intensive major challenge. The inconsistencies between the common assumptions, simplifications in modeling, scenario determination and observations gained from field pilots require design and investigation of improved models and scenarios that can better represent reality. This study presents a cloud-based optimal energy scheduling approach for community microgrids with large penetration of photovoltaics and electric vehicle chargers. A case study for an urban energy community is explored highlighting the promising flexibility potential of EV charging coordination of wide range of car models and charger options.
4th IEEE Global Power, Energy and Communication Conference, GPECOM 2022

Suggestions

Centralized Microgrid Control System in Compliance with IEEE 2030.7 Standard Based on an Advanced Field Unit
Pouraltafi-kheljan, Soheil; Ugur, Mesut; Bozulu, Efecan; Caliskan, Bahadir Can; Keysan, Ozan; Göl, Murat (2021-11-01)
The necessity for the utilization of microgrids emerges from the integration of distributed energy resources, electric vehicles, and battery storage systems into the conventional grid structure. In order to achieve a proper operation of the microgrid, the presence of a microgrid control system is crucial. The IEEE 2030.7 standard defines the microgrid control system as a key element of the microgrid that regulates every aspect of it at the point-of-interconnection with the distribution system, and autonomou...
Sizing of Photovoltaic-Wind-Battery Hybrid System for a Mediterranean Island Community Based on Estimated and Measured Meteorological Data
Sadati, S. M. Sajed; Jahani, Elham; Taylan, Onur; Baker, Derek Keıth (2018-02-01)
Deploying renewable energy systems (RES) to supply electricity faces many challenges related to cost and the variability of the renewable resources. One possible solution to these challenges is to hybridize RES with conventional power systems and include energy storage units. In this study, the feasibility analysis of a grid-connected photovoltaic (PV)wind-battery hybrid system is presented as a microgrid for a university campus-scale community on a Mediterranean island. Models for PV and wind turbine syste...
Empirical Proof of Concept for TE Generation in Mobile Computers
Denker, Reha; Muhtaroglu, Ali; Külah, Haluk (2012-12-05)
Thermoelectric (TE) module integration into a mobile computer has been experimentally investigated in this paper for its energy harvesting opportunities. For this purpose, a detailed Finite Element Analysis (FEA) model was constructed for thermal simulations. The model outputs were then correlated with the thermal validation results of the target system. A suitable "warm spot" has been selected, based on the FEA model, to integrate a commercial TE micro-module inside the system with minimum or no notable im...
Assessment of renewable energy based micro-grids for small communities
Sadati, S.M. Sajed; Taylan, Onur; Sustainable Environment and Energy Systems (2016-7)
Deploying renewable energy systems to supply electricity faces many challenges related to cost and variability of the renewable resources. One possible solution to these challenges is to hybridize renewable energy systems with conventional power systems and include energy storage systems. In this study, the feasibility analysis of two cases for electricity generation systems as (i) photovoltaic (PV)-battery-pumped hydro system (PHS) and (ii) PV-wind-battery are presented as a Renewable Energy Micro-Gr...
Adaptation of Renewable Based Power Plants to the Energy Market Using Battery Energy Storage Systems
Durna, E.; Parlak, D.; Logoglu, E. Uz; Gercek, C. O. (2014-10-22)
This paper presents a method for the adaptation of a wind power plant to the energy market using battery energy storage systems (BESS) to show the feasibility of using fast-response batteries, and to calculate its payback period. The proposed method is also used to investigate the optimum battery size according to the installed capacity of the wind farm based on the price and wind forecast, and arbitrage opportunity so as to maximize the profit of the investor. The profit obtained from the market by the bat...
Citation Formats
M. A. Zehir, O. Tufan Dogan, H. Merdanoglu, E. Yakici, S. Duran, and H. Can Akyildirim, “Cloud-based Optimal Energy Scheduling of Photovoltaics and Electric Vehicle-integrated Community Microgrids,” presented at the 4th IEEE Global Power, Energy and Communication Conference, GPECOM 2022, Cappadocia, Türkiye, 2022, Accessed: 00, 2022. [Online]. Available: https://hdl.handle.net/11511/98810.