DocumentCode :
3597508
Title :
The Implementation of Alleviating Overload in Energy Markets
Author :
Zhu, Jizhong ; Hwang, Davis ; Sadjadpour, Ali
Author_Institution :
AREVA T&D Corp., Redmond, WA
fYear :
2007
Firstpage :
1
Lastpage :
7
Abstract :
This paper presents an implementation to alleviate the overload in the energy markets. The proposed alleviating overload (AOL) method is based on real time network analysis (RTNET), state estimator (SE), real time contingency analysis (RTCA), and the constraint shift factor (CSF) calculation in the energy management system (EMS). RTNET/SE is used to obtain real time data through state estimator and capture the real time data and compute loss sensitivities. RTCA/CSF is used to compute generator shift factors (or sensitivities) for the violated constraints both in base case and outage situations. The network data, loss sensitivities and the shift factors are passed to LMP system for dispatching the units and alleviating the constraints violations. The implementation of AOL and the test results for the constrained shift factor calculation are shown in the paper.
Keywords :
energy management systems; power markets; sensitivity analysis; alleviating overload method; constraint shift factor calculation; energy management system; energy markets; generator shift factors; loss sensitivity; real time contingency analysis; real time network analysis; state estimator; Economic forecasting; Energy management; Load flow; Medical services; Power generation economics; Power system economics; Power system reliability; Propagation losses; Real time systems; State estimation; Alleviating overload; Location-based marginal prices; Loss sensitivity; Real-time energy markets; Shift factor; Standard market design; economic dispatch;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Engineering Society General Meeting, 2007. IEEE
ISSN :
1932-5517
Print_ISBN :
1-4244-1296-X
Electronic_ISBN :
1932-5517
Type :
conf
DOI :
10.1109/PES.2007.385848
Filename :
4275614
Link To Document :
بازگشت