Unit commitment with DGs in distribution systems

Download
2013
Bayat, Mohsen
In this thesis the impact of distributed generation (DG) on the total cost of generating electricity is investigated. A distribution system including PV (PV) generators is considered.A mixed integer linear programming based Unit Commitment algorithm is used to optimally schedule the PV generation and other conventional generation resources for 24 hours. Afterwards, a distribution system power flow algorithm is utilized to check whether the UC solution is within the thermal limitations of the distribution lines. Finally the proposed methodology is applied to a distribution system in two scenarios and the results are analyzed.

Suggestions

Implementation and evaluation of the dynamic distributed real time industrial protocol (D²RIP)
Kaya, Adem; Eyüboğlu, Behçet Murat; Department of Electrical and Electronics Engineering (2013)
The contemporary large-scale and complex industrial control systems such as manufacturing systems, power plants or chemical processes are realized as distributed systems. Since different controller nodes are usually physically distributed, their coordination and information exchange is commonly realized via industrial communication networks (ICNs). In the last decade, there is an ongoing research effort in both academic and industrial fields to employ Ethernet for industrial communications due to its wide a...
Impact of high-level distributed generation penetration on the transmission system transient stability
Kurt, Burçak; Ertaş, Arif; Department of Electrical and Electronics Engineering (2009)
This thesis investigates the impact of high-level penetration of distributed generation especially from the renewable energy sources on the transient stability of the transmission system. Distributed generation is a source of electric power connected to the distribution network or on the consumer side. It is expected that distributed generation grows significantly by the increasing environmental concerns and deregulation in the market. As soon as the increasing penetration level, distributed generation star...
Cloud-based Optimal Energy Scheduling of Photovoltaics and Electric Vehicle-integrated Community Microgrids
Zehir, Mustafa Alparslan; Tufan Dogan, Osman; Merdanoglu, Hakan; Yakici, Ertan; Duran, Serhan; Can Akyildirim, Hayri (2022-01-01)
© 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 inconsisten...
Smart grid applications and technologies in distribution systems
Pehlivanoğlu Gürbüz, Kübra; Sevaioğlu, Osman; Department of Electrical and Electronics Engineering (2019)
Smart grid control purposes to rise the percentage of energy production through alternative energy sources like renewable resources and to make consumers to be comprehended in grid actively, is realising importance day by day. Further to that it can help us employment opportunities and improving growth in addition to keep the power on at minimum cost to prosumers, while the participation is elucidated and enabled new products, service and markets, accommodating all generation and storage options and provide...
Hybrid learning algorithm for intelligent short-term load forecasting
Kumluca Topallı, Ayça; Erkmen, İsmet; Department of Electrical and Electronics Engineering (2003)
Short-term load forecasting (STLF) is an important part of the power generation process. For years, it has been achieved by traditional approaches stochastic like time series; but, new methods based on artificial intelligence emerged recently in literature and started to replace the old ones in the industry. In order to follow the latest developments and to have a modern system, it is aimed to make a research on STLF in Turkey, by neural networks. For this purpose, a method is proposed to forecast Turkey̕s ...
Citation Formats
M. Bayat, “Unit commitment with DGs in distribution systems,” M.S. - Master of Science, Middle East Technical University, 2013.