Stochastic network constrained payment minimisation in electricity markets

Nouri, Alireza; Hosseini, Seyed Hamid; Keane, Andrew

doi:10.1049/iet-gtd.2018.7068

Cited by 7 publications

(2 citation statements)

References 23 publications

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“…The first type have a form like , . These terms are substituted by another continuous variables, , , while the following linear constraints based on the Big M methodology [25] should be satisfied:…”

Section: A Modelling Of Devices In Load Flow Calculationsmentioning

confidence: 99%

Negative Results on Deploying Distributed Series Reactance Devices to Improve Power System Robustness Against Cascading Failures

Beiranvand

Cuffe

2021

IEEE Trans. Power Syst.

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Distributed Series Reactances are devices that dynamically increase the impedance of a line to reduce the power flow it carries. This work explores whether widely deploying these devices enhances a power system's robustness against line overload cascading failures. The presence of Distributed Series Reactances may make it less likely that equipped lines would become overloaded by contingencies elsewhere, and so their presence may arrest the propagation of line overloads through a system. However, the efficacy of these devices in this role has not been widely investigated. Likewise, there are few extant methodologies for siting dynamic reactances within the grid to mitigate the propagation of cascades. In this paper, the ability of these devices to arrest the propagation of cascading failures within power grids is investigated. First, a novel power flow is formulated, which models dynamic line impedances. A novel methodology is proposed for siting the devices on lines spread throughout the network. With these innovations in hand, the devices' effects on cascade propagation are simulated using a sizeable database consisting of multiple load & generation snapshots across eight test networks. No major beneficial effect is found, even when 25% of lines are equipped.

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Section: A Modelling Of Devices In Load Flow Calculationsmentioning

confidence: 99%

Negative Results on Deploying Distributed Series Reactance Devices to Improve Power System Robustness Against Cascading Failures

Beiranvand

Cuffe

2021

IEEE Trans. Power Syst.

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“…In [12], LMP's behavior under PCM and OCM mechanisms are compared showing that the sensitivity of LMPs under the PCM mechanism is lower comparing to the OCM mechanism. Some uncertainties such as load fluctuation and component availability are added to the main problem in [13], in which the proposed model resulted to a tri-level optimization problem that is solved after converting to an equivalent single level programming problem. In another study, a PCM unit commitment model is proposed to incorporate the uncertainty associated with wind generation [14], while the optimization problem is solved using GA, where the global optimality cannot be guaranteed.…”

Section: Introductionmentioning

confidence: 99%

Load Shifting Demand Response in Energy Scheduling Based on Payment Cost Minimization Auction Mechanism

2020

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Demand response (DR) is proven to be very efficacious for load mitigation especially in peak time period. On the other hand, DR benefits both consumers and system operators to reduce their payment and system operating cost, respectively. Offer cost minimization is currently used as the clearing mechanism with locational marginal pricing scheme to determine the consumers' payment. These clearing and pricing mechanisms are inconsistent as the system cost is being minimized, but the final payments are calculated based on marginal prices. Payment cost minimization (PCM) auction as a price-based clearing mechanism is envisaged to be an effective alternative to solve the issue. This paper shows how to include DR in PCM mechanism to further reduce the consumers' payment. It facilitates utilizing price responsive consumers for load shifting DR (LSDR) in a PCM auction. The optimization problem is modeled as a mixed-integer nonlinear bi-level programming. Duality theorem, Karush-Kuhn-Tucker conditions and integer algebra are used to convert such a problem to a single level mixed-integer linear programing problem. This problem is then solved by CPLEX solver in GAMS. The impacts of LSDR are studied by implementing the proposed formulation to solve the clearing problem in the case studies deriving promising numerical results.

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