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- Publisher Website: 10.1109/PES.2007.385785
- Scopus: eid_2-s2.0-42549134420
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Conference Paper: Long-term bilateral contract pricing with risks of congestion charge
Title | Long-term bilateral contract pricing with risks of congestion charge |
---|---|
Authors | |
Keywords | 2n-concentration scheme Bilateral contract pricing Congestion charge Negotiated income Uncertainly |
Issue Date | 2007 |
Citation | 2007 Ieee Power Engineering Society General Meeting, Pes, 2007 How to Cite? |
Abstract | The object of this paper is to study the risk of long-term bilateral contract in the deregulated power system. A model for long-term bilateral contract pricing with risks of congestion is presented. The negotiated income, variable fuel cost, investment depreciation, and congestion payment during the whole contract period are involved in this model. Based on the principle of noarbitrage, the negotiated income is derived. The congestion payment is modeled as a random variable to take into account the fluctuation and uncertainties of load demand. For each operating scenario, the congestion charge is evaluated by AC OPF approach. A numerical method so-called 2n-concentration scheme is proposed to obtain the statistical characteristic of congestion charge instead of Monte Carlo simulation. Comparing with the Monte Carlo simulation, this method is less computation time consuming with acceptable numerical precision. Several numerical examples are given to illustrate the proposed method. © 2007 IEEE. |
Persistent Identifier | http://hdl.handle.net/10722/99496 |
References |
DC Field | Value | Language |
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dc.contributor.author | Hou, Y | en_HK |
dc.contributor.author | Wu, FF | en_HK |
dc.date.accessioned | 2010-09-25T18:32:47Z | - |
dc.date.available | 2010-09-25T18:32:47Z | - |
dc.date.issued | 2007 | en_HK |
dc.identifier.citation | 2007 Ieee Power Engineering Society General Meeting, Pes, 2007 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/99496 | - |
dc.description.abstract | The object of this paper is to study the risk of long-term bilateral contract in the deregulated power system. A model for long-term bilateral contract pricing with risks of congestion is presented. The negotiated income, variable fuel cost, investment depreciation, and congestion payment during the whole contract period are involved in this model. Based on the principle of noarbitrage, the negotiated income is derived. The congestion payment is modeled as a random variable to take into account the fluctuation and uncertainties of load demand. For each operating scenario, the congestion charge is evaluated by AC OPF approach. A numerical method so-called 2n-concentration scheme is proposed to obtain the statistical characteristic of congestion charge instead of Monte Carlo simulation. Comparing with the Monte Carlo simulation, this method is less computation time consuming with acceptable numerical precision. Several numerical examples are given to illustrate the proposed method. © 2007 IEEE. | en_HK |
dc.language | eng | en_HK |
dc.relation.ispartof | 2007 IEEE Power Engineering Society General Meeting, PES | en_HK |
dc.subject | 2n-concentration scheme | en_HK |
dc.subject | Bilateral contract pricing | en_HK |
dc.subject | Congestion charge | en_HK |
dc.subject | Negotiated income | en_HK |
dc.subject | Uncertainly | en_HK |
dc.title | Long-term bilateral contract pricing with risks of congestion charge | en_HK |
dc.type | Conference_Paper | en_HK |
dc.identifier.email | Hou, Y: yhhou@hku.hk | en_HK |
dc.identifier.email | Wu, FF: ffwu@eee.hku.hk | en_HK |
dc.identifier.authority | Hou, Y=rp00069 | en_HK |
dc.identifier.authority | Wu, FF=rp00194 | en_HK |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/PES.2007.385785 | en_HK |
dc.identifier.scopus | eid_2-s2.0-42549134420 | en_HK |
dc.identifier.hkuros | 145904 | en_HK |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-42549134420&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.spage | 1 | en_HK |
dc.identifier.epage | 6 | en_HK |
dc.identifier.scopusauthorid | Hou, Y=7402198555 | en_HK |
dc.identifier.scopusauthorid | Wu, FF=7403465107 | en_HK |