Optimal Power Flow for Unbalanced Distribution Networks with Distributed Generation Integration

The distribution systems are usually of high complexity with a large system scale and varieties of load types. Moreover, they are also expanding at an unbelievable rate in terms of complexity. The world faces a significant investment challenge to build, expand or improve the electrical power systems to meet the continuous increasing loads. Meanwhile, power system operation process often encounters a significant and growing demand for the connections of renewable energy systems such as solar panels, wind- turbines, micro-turbine generators and so forth. Nowadays in the smart grid application area, intelligent algorithms are widely utilized to control the distribution systems with complicated topologies. However, there is a huge gap between the application area and theoretical field. Although highly automated and integrated control systems have been proposed, systems with coverage from the zone substation to the middle-voltage (MV) feeders practically do not exist. By researching the basic structure of active distribution networks, this study is aimed to propose a hierarchical optimization strategy that is feasible to fully exploit the capabilities of both traditional and emerging devices, expand the network load capacity and accommodate more renewable resources connections.

Grantor dc:publisher

State University of New York at Buffalo

Year dc:date.issued

2018

Author dc:creator

• Wang, Tianjian

Contributors dc:contributor

• Furlani, Edward
• Electrical Engineering

• electrical engineering
• energy

Statement dc:rights

• Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.
• Copyright retained by author.

Language dc:language

eng

Handle dc:identifier

http://hdl.handle.net/10477/77941

OAI record oai:identifier

https://ubir.buffalo.edu/oai/request?verb=GetRecord&metadataPrefix=qdc&identifier=oai%3Aubir.buffalo.edu%3A10477%2F77941