Abstract
Competitive bidding for energy and ancillary services is increasingly recognized as an important part of electricity markets. On the other hand, the transmission capacity limits should be considered to optimize the total market cost. In this paper, a new approach based on Constrained Particle Swarm Optimization (CPSO) is developed to address the multi-product and multi-area electricity market dispatch problem. Constraint handling is based on feasibility rules and probability distribution. CPSO method offers a new solution for optimizing the total market cost in a multi-area competitive electricity market considering system constraints. The proposed approach is verified with several cases studies with quadratic and non-smooth cost functions.
| Original language | English |
|---|---|
| Title of host publication | 12th International Middle East Power System Conference, MEPCON 2008 |
| Publisher | IEEE Institute of Electrical and Electronic Engineers |
| Pages | 559-564 |
| ISBN (Electronic) | 978-1-4244-1934-0 |
| ISBN (Print) | 978-1-4244-1933-3 |
| DOIs | |
| Publication status | Published - 18 Sep 2008 |
| MoE publication type | A4 Article in a conference publication |
| Event | 2008 12th International Middle East Power System Conference, MEPCON 2008 - Aswan, Egypt Duration: 12 Mar 2008 → 15 Mar 2008 |
Conference
| Conference | 2008 12th International Middle East Power System Conference, MEPCON 2008 |
|---|---|
| Country | Egypt |
| City | Aswan |
| Period | 12/03/08 → 15/03/08 |
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Keywords
- Energy bidding price
- Particle swarm optimization
- Reserve bidding price
Cite this
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Economic dispatch in multi-area using particle swarm optimization in electricity market. / Azadani, E. Nasr; Hosseinian, S. H.; Moradzadeh, B.; Hasanpor, P.
12th International Middle East Power System Conference, MEPCON 2008. IEEE Institute of Electrical and Electronic Engineers , 2008. p. 559-564 4562353.Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
TY - GEN
T1 - Economic dispatch in multi-area using particle swarm optimization in electricity market
AU - Azadani, E. Nasr
AU - Hosseinian, S. H.
AU - Moradzadeh, B.
AU - Hasanpor, P.
N1 - No VTT affiliation
PY - 2008/9/18
Y1 - 2008/9/18
N2 - Competitive bidding for energy and ancillary services is increasingly recognized as an important part of electricity markets. On the other hand, the transmission capacity limits should be considered to optimize the total market cost. In this paper, a new approach based on Constrained Particle Swarm Optimization (CPSO) is developed to address the multi-product and multi-area electricity market dispatch problem. Constraint handling is based on feasibility rules and probability distribution. CPSO method offers a new solution for optimizing the total market cost in a multi-area competitive electricity market considering system constraints. The proposed approach is verified with several cases studies with quadratic and non-smooth cost functions.
AB - Competitive bidding for energy and ancillary services is increasingly recognized as an important part of electricity markets. On the other hand, the transmission capacity limits should be considered to optimize the total market cost. In this paper, a new approach based on Constrained Particle Swarm Optimization (CPSO) is developed to address the multi-product and multi-area electricity market dispatch problem. Constraint handling is based on feasibility rules and probability distribution. CPSO method offers a new solution for optimizing the total market cost in a multi-area competitive electricity market considering system constraints. The proposed approach is verified with several cases studies with quadratic and non-smooth cost functions.
KW - Energy bidding price
KW - Particle swarm optimization
KW - Reserve bidding price
UR - http://www.scopus.com/inward/record.url?scp=51649097692&partnerID=8YFLogxK
U2 - 10.1109/MEPCON.2008.4562353
DO - 10.1109/MEPCON.2008.4562353
M3 - Conference article in proceedings
AN - SCOPUS:51649097692
SN - 978-1-4244-1933-3
SP - 559
EP - 564
BT - 12th International Middle East Power System Conference, MEPCON 2008
PB - IEEE Institute of Electrical and Electronic Engineers
ER -