Service identification and allocation in market-based power system operation

Fu, Jing

doi:10.31274/rtd-180813-10839

Cited by 1 publication

(2 citation statements)

References 54 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The reactive support, comes from two sources: generation sources and transmission sources. In [9], their economic costs and bid preparation were analyzed. Those from the generation sources are traded in the reactive support markets.…”

Section: Tapmentioning

confidence: 99%

See 1 more Smart Citation

A combined framework for service identification and congestion management

Lamont

2001

IEEE Trans. Power Syst.

View full text Add to dashboard Cite

Service identification and congestion management are important functions of the ISO in maintaining system security and reliability. Most approaches in the literature solve the problem sequentially, which may lead to an under or over-estimation of the service requirement and transaction curtailment. A few of them do it iteratively which is quite time consuming. In this paper, a combined framework for service identification and congestion management is proposed. The ideal objective function is to maximize the overall profit of all market participants. Practically, an upper bound cost minimization is suggested and has been applied to identify two of the services, the reactive support and real power loss services, in case of congestion. The service costs plus the congestion cost are minimized. Results show that the proposed approach results in a smaller transaction curtailment. The curtailment also depends on the relative cost of congestion with respect to the cost of services.Index Terms-Bid price, congestion cost, congestion management, lower bound profit, profit maximization, service cost, service identification, upper bound cost.

show abstract

Section: Tapmentioning

confidence: 99%

“…Their related cost and operation data, together with that of the transmission devices are listed in [9].…”

Section: Tapmentioning

confidence: 99%