A study of reactive power marginal price in electricity market

Dai, Yuxing; Ni, Yixin; Shen, Chen; Wen, Fushuan; Han, Zhen; Wu, F.F.

doi:10.1016/s0378-7796(00)00119-x

Cited by 36 publications

(28 citation statements)

References 8 publications

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“…The scenario considered corresponds to a market in which each generator's output is set by a system manager in order to achieve an overall optimal result that satisfies all the established technical and contractual requirements. Various methods have been developed for the calculation of active and reactive power spot prices, with the introduction of new constraints [3][4][5][6][7][8], the costs of reactive power generation [9], and the treatment of line saturation [10]. Rather than obtaining the power spot price for each node of an electricity system -a question that has been extensively dealt with in the literature -the objective of the present study is to decompose the spot price into its component factors, to deduce the general rules governing its behaviour, to analyze the influence of the existing constraints, and to show the need to establish relationships that bring stability to the rate-setting model.…”

Section: Introductionmentioning

confidence: 99%

Analysis and decomposition of the electricity market active and reactive power spot price under centralized management

García-Román

2012

International Journal of Electrical Power & Energy Systems

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Section: Introductionmentioning

confidence: 99%

Analysis and decomposition of the electricity market active and reactive power spot price under centralized management

García-Román

2012

International Journal of Electrical Power & Energy Systems

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“…The busdata, linedata including generator cost coefficients are taken from [15,16] Table II-III show that although Method-1 controls better (11.921 MVA) than Method-2 (11.921 MVA, when kprofit = 5%) but congestion relief charges are less for Method-2 than Method-1. The high congestion relief charges of Method-1 are resulted mainly due to high real power generation redispatch cost because fitness function does not take total (real + reactive) redispatch cost into account.…”

Section: Resultsmentioning

confidence: 99%

Optimal Power Flow based Congestion Management Methods for Competitive Electricity Markets

Saini¹,

Saxena²

2010

IJCEE

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Abstract-Congestion management is one of the major tasks performed by system operators to ensure the operation of transmission system within operating limits. In the emerging electric power market, the congestion management becomes extremely important and it can impose a barrier to the electricity trading. In the present paper, a concept of transmission congestion penalty factors is developed and implemented to control power overflows in transmission lines for congestion management. Three methods based on optimal power flow are proposed to alleviate congestion in transmission lines and tested. The first two methods require re-dispatching of generators and changes in capacitors' reactive support only. They can be differentiated on the basis of economic cost involved in making required changes to above variables. The third method deals with load curtailment scheme based on willing to pay charges paid for different transactions in the system to avoid congestion. The formation of different categories for charging willing to pay charges from pool consumers is new feature of this scheme.

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“…The reactive power procurement cost to be paid to the GenCos can be obtained from their lost opportunity to trade , by making use of an approximate capability curve of the generators [18]- [20] …”

Section: Day-ahead Market Dispatch Problem Formulation Under Prdmentioning

confidence: 99%

“…The day-ahead market dispatch problem is formulated as to maximize the social welfare of market participants (i.e., DistCos' benefits minus GenCos' costs) subject to operational and security constraints. The DistCos' benefits are determined on the basis of their price responsive demand shifting bids, and GenCos' costs include real power generation cost and lost opportunity cost to provide reactive power [18]- [20]. The cost function corresponding to reactive power procurement from GenCos is necessary to be included in the market dispatch formulation in order to provide incentives to the generator companies for their reactive power supply and to determine pricing signal for delivery of reactive power to consumers in deregulated environment.…”

Section: Introductionmentioning

confidence: 99%

Influence of Price Responsive Demand Shifting Bidding on Congestion and LMP in Pool-Based Day-Ahead Electricity Markets

Singh

Padhy

Sharma

2011

IEEE Trans. Power Syst.

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This paper investigates the influence of price responsive demand shifting bidding on congestion and locational marginal prices in pool-based day-ahead electricity markets. The market dispatch problem of the pool-based day-ahead electricity market is formulated as to maximize the social welfare of market participants subject to operational constraints given by real and reactive power balance equations, and security constraints in the form of apparent power flow limits over the congested lines. The social welfare objective function of the day-ahead market dispatch problem maximizes the benefit of distribution companies and other bulk consumers based on their price responsive demand shifting bids and minimizes the real and reactive power generation cost of generation companies. The price responsive demand shifting bidding mechanism, which has been recently introduced in the literature, is able to shift the price responsive demand from the periods of high price to the periods of low price in day-ahead electricity markets. The comparisons of the price responsive demand shifting bids with conventional price responsive and price taking bids are presented by solving hourly market dispatch problems on five-bus, IEEE 30-bus, realistic UP 75-bus Indian, and IEEE 118-bus systems for 24-h scheduling period. It has been demonstrated that the proposed approach leads to reduction in congestion and locational marginal prices as compared to price responsive and price taking bids and meets the energy consumption targets of distribution companies/bulk consumers.Index Terms-Congestion management, locational marginal price, price responsive demand shifting bidding, social welfare.

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A study of reactive power marginal price in electricity market

Cited by 36 publications

References 8 publications

Analysis and decomposition of the electricity market active and reactive power spot price under centralized management

Analysis and decomposition of the electricity market active and reactive power spot price under centralized management

Optimal Power Flow based Congestion Management Methods for Competitive Electricity Markets

Influence of Price Responsive Demand Shifting Bidding on Congestion and LMP in Pool-Based Day-Ahead Electricity Markets

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