Advanced DP based method for power expansion planning in the deregulated market

N. X. Jia; R. Yokoyama; Y. C. Zhou

doi:10.1109/PTC.2001.964602

Advanced DP based method for power expansion planning in the deregulated market

N. X. Jia^*, R. Yokoyama, Y. C. Zhou

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Citations (Scopus)

Abstract

In open generation market, the utility prefers to introduce IPPs rather than building new generators by itself if the participation of IPPs can maximize its profits. At the same time, the IPPs also want to maximize their own profits and bid against each other for participating in generation market. This paper discusses the bidding conditions of IpPs based on their scenario analyses, and proposes a solution method for the utility to obtain the optimal generation expansion planning while considering the profits of IPPs from the viewpoint of an utility. The supply reliability and the environmental problem (CO ₂ emission) are considered in this paper. Based on a Dynamic Programming (DP) approach, the feasibility of the proposed approach is demonstrated in a test power system, and an optimal generation expansion planning of utility in consideration of impact of IPPs is obtained.

Original language	English
Title of host publication	2001 IEEE Porto Power Tech Proceedings
Pages	222-227
Number of pages	6
Volume	1
DOIs	https://doi.org/10.1109/PTC.2001.964602
Publication status	Published - 2001
Event	2001 IEEE Porto Power Tech Conference - Porto Duration: 2001 Sept 10 → 2001 Sept 13

Other

Other	2001 IEEE Porto Power Tech Conference
City	Porto
Period	01/9/10 → 01/9/13

Keywords

CO emission
DP
Generation expansion planning
IPP
Supply reliability

ASJC Scopus subject areas

Energy Engineering and Power Technology
Fuel Technology

Access to Document

10.1109/PTC.2001.964602

Cite this

@inproceedings{1cbdeb0747a04a969387eb5a6b5e4824,

title = "Advanced DP based method for power expansion planning in the deregulated market",

abstract = "In open generation market, the utility prefers to introduce IPPs rather than building new generators by itself if the participation of IPPs can maximize its profits. At the same time, the IPPs also want to maximize their own profits and bid against each other for participating in generation market. This paper discusses the bidding conditions of IpPs based on their scenario analyses, and proposes a solution method for the utility to obtain the optimal generation expansion planning while considering the profits of IPPs from the viewpoint of an utility. The supply reliability and the environmental problem (CO 2 emission) are considered in this paper. Based on a Dynamic Programming (DP) approach, the feasibility of the proposed approach is demonstrated in a test power system, and an optimal generation expansion planning of utility in consideration of impact of IPPs is obtained.",

keywords = "CO emission, DP, Generation expansion planning, IPP, Supply reliability",

author = "Jia, {N. X.} and R. Yokoyama and Zhou, {Y. C.}",

year = "2001",

doi = "10.1109/PTC.2001.964602",

language = "English",

isbn = "0780371399",

volume = "1",

pages = "222--227",

booktitle = "2001 IEEE Porto Power Tech Proceedings",

note = "2001 IEEE Porto Power Tech Conference ; Conference date: 10-09-2001 Through 13-09-2001",

}

TY - GEN

T1 - Advanced DP based method for power expansion planning in the deregulated market

AU - Jia, N. X.

AU - Yokoyama, R.

AU - Zhou, Y. C.

PY - 2001

Y1 - 2001

N2 - In open generation market, the utility prefers to introduce IPPs rather than building new generators by itself if the participation of IPPs can maximize its profits. At the same time, the IPPs also want to maximize their own profits and bid against each other for participating in generation market. This paper discusses the bidding conditions of IpPs based on their scenario analyses, and proposes a solution method for the utility to obtain the optimal generation expansion planning while considering the profits of IPPs from the viewpoint of an utility. The supply reliability and the environmental problem (CO 2 emission) are considered in this paper. Based on a Dynamic Programming (DP) approach, the feasibility of the proposed approach is demonstrated in a test power system, and an optimal generation expansion planning of utility in consideration of impact of IPPs is obtained.

AB - In open generation market, the utility prefers to introduce IPPs rather than building new generators by itself if the participation of IPPs can maximize its profits. At the same time, the IPPs also want to maximize their own profits and bid against each other for participating in generation market. This paper discusses the bidding conditions of IpPs based on their scenario analyses, and proposes a solution method for the utility to obtain the optimal generation expansion planning while considering the profits of IPPs from the viewpoint of an utility. The supply reliability and the environmental problem (CO 2 emission) are considered in this paper. Based on a Dynamic Programming (DP) approach, the feasibility of the proposed approach is demonstrated in a test power system, and an optimal generation expansion planning of utility in consideration of impact of IPPs is obtained.

KW - CO emission

KW - DP

KW - Generation expansion planning

KW - IPP

KW - Supply reliability

UR - http://www.scopus.com/inward/record.url?scp=35348911560&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=35348911560&partnerID=8YFLogxK

U2 - 10.1109/PTC.2001.964602

DO - 10.1109/PTC.2001.964602

M3 - Conference contribution

AN - SCOPUS:35348911560

SN - 0780371399

SN - 9780780371392

VL - 1

SP - 222

EP - 227

BT - 2001 IEEE Porto Power Tech Proceedings

T2 - 2001 IEEE Porto Power Tech Conference

Y2 - 10 September 2001 through 13 September 2001

ER -

Advanced DP based method for power expansion planning in the deregulated market

Abstract

Other

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this