2015
DOI: 10.1049/iet-gtd.2014.0552
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Evaluation of price‐sensitive loads’ impacts on transmission network congestion using an analytical approach

Abstract: An analytical approach is presented to evaluate the impacts of price-sensitive loads on congestion in transmission network. To achieve this aim, the Lagrange multipliers (LMs) of transmission lines' power flow constraints are calculated from independent system operator's social welfare maximisation in which demand-side bidding is considered. It is shown that the LM of each congested line can be decomposed into five components. The first part is a constant value for the specified line, while the next two compon… Show more

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Cited by 11 publications
(6 citation statements)
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“…In the power market, LMP can provide price signals for market participants, realize fair trade, help transmission companies to solve transmission congestion problems, and guide transmission network planning [45]. When solving the optimal power flow economic dispatching problem of the transmission network, the extended Lagrangian function is constructed to calculate the Lagrangian multiplier of each constraint, which represents the shadow price of the network resources (i.e., lines and generators) associated with the constraint [46,47]. The expression of the extended Lagrangian function is expressed as follows:…”
Section: Lmp Decomposition Based On Shadow Price Theorymentioning
confidence: 99%
“…In the power market, LMP can provide price signals for market participants, realize fair trade, help transmission companies to solve transmission congestion problems, and guide transmission network planning [45]. When solving the optimal power flow economic dispatching problem of the transmission network, the extended Lagrangian function is constructed to calculate the Lagrangian multiplier of each constraint, which represents the shadow price of the network resources (i.e., lines and generators) associated with the constraint [46,47]. The expression of the extended Lagrangian function is expressed as follows:…”
Section: Lmp Decomposition Based On Shadow Price Theorymentioning
confidence: 99%
“…It displays excellent performance in unbalanced networks. An analytical method is presented in [17] to study the impact of demand price responsiveness on congestion, which does not consider REPPs. Additionally, it neglects the strategic behaviour of GenCos and consequently does not distinguish between the effect of market structure and actors' behaviour.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Consequently, the electricity market is a highly complex and oligopolistic market, where modelling its behaviour is a challenging task. In this paper, the optimal bidding strategy of the conventional power plants is calculated using the QL algorithm, which appropriately reflects their strategic behaviour [17,32].…”
Section: Gencos' Strategic Behaviour Simulation Using the Ql Algorithmmentioning
confidence: 99%
“…Subsequently, now that the closed-form solution of optimisation problem is nontrivial to obtain, we introduce the Lagrangian method and the Karush-Kuhn-Tucker (KKT) method to conduct the preliminary analysis. Particularly, KKT method provides the optimality conditions of OPF problem (26)- (28) and can be leveraged for further analysis [29], which are addressed as follows…”
Section: Proof Of Theoremmentioning
confidence: 99%