Investigating the impact of flexible demand on market-based generation investment planning

Oderinwale, Temitayo; Papadaskalopoulos, Dimitrios; Ye, Yujian; Štrbac, Goran

doi:10.1016/j.ijepes.2020.105881

Cited by 9 publications

(2 citation statements)

References 28 publications

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“…Bi-level optimization constitutes a rigorous methodological framework for modelling non-cooperative interactions between di erent entities. It has been employed successfully in many power system applications, including strategic bidding in electricity markets [12], [13], electricity suppliers' / aggregators' pricing strategies [14], [15], and strategic generation investment planning [16], [17]. However, research e orts on the application of bilevel optimization to the problem of DUoS pricing for the e ective management of DERs are still limited.…”

Section: B Literature Reviewmentioning

confidence: 99%

Bilevel Optimization Model for the Design of Distribution Use-of-System Tariffs

et al. 2021

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Pediaditis et al.: Bilevel Optimization Model for the Design of Distribution Use-of-System Tari sGeneration curtailment at node i and period (t, d) (MWh) π i,t,d Distribution use of system (DUoS) tari at node i and period (t, d) (e/MWh) u i,t,d,n Binary variable of tari level n at node i and period (t, d) P j,t,d Active power ow on branch j and period (t, d) (MW) Q j,t,d Reactive power ow on branch j and period (t, d) (MVar) v i,t,d Square of the voltage at node i and period (t, d) (V 2 )

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Section: B Literature Reviewmentioning

confidence: 99%

Bilevel Optimization Model for the Design of Distribution Use-of-System Tariffs

et al. 2021

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“…In [9], the impact of flexibility resources on coordinated system expansion planning is studied including dispatchable units, energy storage systems, and demand response. In [10,11], a bi-level model for market-based GEP is proposed to investigate the impact of system flexibility on investment decisions, and short-term operational flexibility is considered in the lower level. In [12], the unit commitment (UC) model is considered in the operation subproblem of the GEP and an approximation approach is used to mitigate the computational burden.…”

Section: Introductionmentioning

confidence: 99%

Multi‐stage stochastic wind‐thermal generation expansion planning with probabilistic reliability criteria

Wang

Luo

et al. 2021

IET Generation Trans & Dist

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Due to the growing proportion of uncertain and fluctuating renewable energy sources in the power system, reasonable generation expansion considering the uncertainties is desperately needed. This paper proposes a novel three‐stage wind‐thermal generation expansion planning model based on representative day unit commitment that incorporates the uncertainty of wind power and load and the probabilistic reliability criteria. The probabilistic reliability criteria are considered by simulating random outage events of thermal units using a robust approach. The consequent robust reliability model is reformulated as mixed‐integer linear programming models and integrated into the multi‐stage generation expansion planning model. A decomposed strategy based on the Benders decomposition is adopted to tackle with the large‐scale original model. Case studies are performed on both the revised IEEE 14‐bus and IEEE 118‐bus test systems to validate the effectiveness of proposed model and method. Numerical results show that the proposed generation planning method balances the economy and reliability of the system.

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