Abstract
In the ongoing trend of restructuring the electricity market worldwide, ancillary services are introduced for operating entities to realize the market function and maintain system security. As generation has been unbundled from the vertically integrated structure, the generation companies (GENCOs) willing to join the power market would be interested in how the direct service between suppliers and customers be effectively realized at lower operating costs, while maintaining the operating service at the satisfactory level. This paper presents a method to estimate specific customer's power deficiency that is used for GENCOs to provide the bilateral ancillary service. Results showing the proposed method in the simulated condition were performing as desired. An adaptive frequency bias setting is utilized to develop a bias logic based gain-scheduling controller. Simulation results showed that the proposed controller is feasible for GENCOs to enhance bilateral regulation performance.
Original language | English |
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Pages (from-to) | 177-191 |
Number of pages | 15 |
Journal | Electric Power Systems Research |
Volume | 78 |
Issue number | 2 |
DOIs | |
Publication status | Published - 2008 Feb 1 |
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All Science Journal Classification (ASJC) codes
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering
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Formulating customer's power deficiency for GENCOs to perform third-party supply. / Chang-Chien, Le Ren; Chu, I. Chieh.
In: Electric Power Systems Research, Vol. 78, No. 2, 01.02.2008, p. 177-191.Research output: Contribution to journal › Article
TY - JOUR
T1 - Formulating customer's power deficiency for GENCOs to perform third-party supply
AU - Chang-Chien, Le Ren
AU - Chu, I. Chieh
PY - 2008/2/1
Y1 - 2008/2/1
N2 - In the ongoing trend of restructuring the electricity market worldwide, ancillary services are introduced for operating entities to realize the market function and maintain system security. As generation has been unbundled from the vertically integrated structure, the generation companies (GENCOs) willing to join the power market would be interested in how the direct service between suppliers and customers be effectively realized at lower operating costs, while maintaining the operating service at the satisfactory level. This paper presents a method to estimate specific customer's power deficiency that is used for GENCOs to provide the bilateral ancillary service. Results showing the proposed method in the simulated condition were performing as desired. An adaptive frequency bias setting is utilized to develop a bias logic based gain-scheduling controller. Simulation results showed that the proposed controller is feasible for GENCOs to enhance bilateral regulation performance.
AB - In the ongoing trend of restructuring the electricity market worldwide, ancillary services are introduced for operating entities to realize the market function and maintain system security. As generation has been unbundled from the vertically integrated structure, the generation companies (GENCOs) willing to join the power market would be interested in how the direct service between suppliers and customers be effectively realized at lower operating costs, while maintaining the operating service at the satisfactory level. This paper presents a method to estimate specific customer's power deficiency that is used for GENCOs to provide the bilateral ancillary service. Results showing the proposed method in the simulated condition were performing as desired. An adaptive frequency bias setting is utilized to develop a bias logic based gain-scheduling controller. Simulation results showed that the proposed controller is feasible for GENCOs to enhance bilateral regulation performance.
UR - http://www.scopus.com/inward/record.url?scp=37249009539&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=37249009539&partnerID=8YFLogxK
U2 - 10.1016/j.epsr.2007.01.006
DO - 10.1016/j.epsr.2007.01.006
M3 - Article
AN - SCOPUS:37249009539
VL - 78
SP - 177
EP - 191
JO - Electric Power Systems Research
JF - Electric Power Systems Research
SN - 0378-7796
IS - 2
ER -