EPPEI Power Seminar #6

Presenter:	Jiansheng Lei Ph.D. Student (Advisor: Dr. G.M. Huang)
Topic:	Data Exchange Design and a Textured State Estimation Algorithm for Distributed Multi-Utility Operations in Electric Power Market
Time:	October 18th, Friday at 3:00pm
Location:	128D ZEC

ABSTRACT:

The objective of this research is to develop a framework for data exchange design (Here data refers to measurement raw data and estimation results) within the context of the distributed multi-utility operations under the electric power market. An expert system is proposed to search for most beneficial and efficient data exchange schemes while avoiding harmful data exchange at the same time. In addition, the impact of data exchange on new measurement design and the issues on price of exchanged data are also discussed. Based on facilitation of such a data exchange framework, a concurrent textured distributed state estimation algorithm is proposed to meet the challenges of large-scale state estimation in Mega-RTO. Such an algorithm tries to avoid the disadvantages of both One State Estimator (OSE) and existing distributed state estimation (DSE) algorithms. Furthermore, the implementation of data exchange among various proprietary independent information sources in a nationwide power market, which is classified as an information integration problem, is also investigated by a newly proposed concept semantic web component (sWebComp). A transaction detection scheme in power market is investigated as an example, where the information of real time state estimation from energy management system (EMS) and the financial transaction information from the accounting department are both fully utilized.

Presentation slides