Bi-level optimization model for the coordination between transmission and distribution systems interacting with local energy markets

Sheikhahmadi, Pouria; Bahramara, Salah; Mazza, Andrea; Chicco, Gianfranco; Catalão, João P.S.

doi:10.1016/j.ijepes.2020.106392

Cited by 47 publications

(37 citation statements)

References 34 publications

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“…6 A cost allocation vector y for a coalition structure CS satisfies the individual rationality property if yn ≤ v({n}), ∀n ∈ N G , i.e., each SO weakly pefers being in the coalition structure to being on his own. The submitted bids are drawn from a uniform distribution in the range of [10,15]e/MWh for downward bids and [50, 55] e/MWh for upward offers, not to induce biases stemming from the submitted bids/offers.…”

Section: Numerical Resultsmentioning

confidence: 99%

“…co-optimization) of flexibility [3], [6], to maximize the grid and system-level value of this flexibility. In particular, a key focus has been shed on the need for coordination between SOs to achieve joint procurement, not only for optimization of economic efficiency but also to ensure that the activated flexibility meets grid operational constraints of all the grids involved [2]- [5], [9], [10]. However, when jointly procuring flexibility, it is paramount to decide on how the costs of this flexibility should be divided among the participating SOs…”

Section: Introductionmentioning

confidence: 99%

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TSO-DSOs Stable Cost Allocation for the Joint Procurement of Flexibility: A Cooperative Game Approach

Sanjab

Cadre

Mou

2021

Preprint

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In this paper, a transmission-distribution systems flexibility market is introduced, in which system operators (SOs) jointly procure flexibility from different systems to meet their needs (balancing and congestion management) using a common market. This common market is, then, formulated as a cooperative game aiming at identifying a stable and efficient split of costs of the jointly procured flexibility among the participating SOs to incentivize their cooperation. The non-emptiness of the core of this game is then mathematically proven, implying the stability of the game and the naturally-arising incentive for cooperation among the SOs. Several cost allocation mechanisms are then introduced, while characterizing their mathematical properties. Numerical results focusing on an interconnected system (composed of the IEEE 14-bus transmission system and the Matpower 18-bus, 69-bus, and 141-bus distributions systems) showcase the cooperation-induced reduction in systemwide flexibility procurement costs, and identifies the varying costs borne by different SOs under various cost allocations methods.

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Section: Numerical Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

TSO-DSOs Stable Cost Allocation for the Joint Procurement of Flexibility: A Cooperative Game Approach

Sanjab

Cadre

Mou

2021

Preprint

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“…Furthermore, in [29], Gonzalez et al included uncertainties from forecast errors. In [30], Sheikhahmadi et al considered both wholesale and local markets that are operated by TSO and DSO respectively. In these studies, coordination between the DSO and DERA is not the main issue.…”

Section: B Literature Focusing On Coordination Between the Tso And Dsomentioning

confidence: 99%

Prequalification Scheme of a Distribution System Operator for Supporting Wholesale Market Participation of a Distributed Energy Resource Aggregator

et al. 2021

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Increasing penetration of distributed renewable energy sources (DRESs) has resulted in the emergence of distributed energy resource aggregators (DERAs). A DERA participates in the transmissionlevel market operated by a transmission system operator (TSO), and the DERA's resources are connected to a jurisdiction of the distribution system operator (DSO). Inspired by the structure of the Korean power industry, this study assumes a minimal DSO that cannot directly dispatch the resources in its system. In this study, we develop a detailed procedure for prequalification wherein the DSO checks the DERA's bids that are submitted to the TSO markets. The proposed prequalification enables the DSO to secure the reliability of its system by providing limited network information to the DERA. The DERA modifies its bid until potential overvoltage and overflow problems are resolved, even in the worst case, including uncertainties. The proposed prequalification process is verified using the IEEE 33-bus distribution network. Compared to previous studies, the results demonstrate that the proposed prequalification can deal with distribution system constraints, even though uncertainties are included. The proposed prequalification process can be applied to power industries where the DSO does not have the full dispatch authority on DRESs.

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“…In terms of the efficient interaction between the DSO and the TSO, [30] proposed a multi-level structure for the TSO-DSO coordination so that it enables distrusted energy resources to participate in wholesale energy markets. In the similar work proposed by [31], the coordination between system operators was modelled using the local energy market concept. In this approach, the local energy market was considered as a strategic player of the wholesale energy market.…”

Section: ) Local and System-wide Flexibility Provisionmentioning

confidence: 99%

A Local Capacity Market Providing Local and System-Wide Flexibility Services

et al. 2021

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Bi-level optimization model for the coordination between transmission and distribution systems interacting with local energy markets

Cited by 47 publications

References 34 publications

TSO-DSOs Stable Cost Allocation for the Joint Procurement of Flexibility: A Cooperative Game Approach

TSO-DSOs Stable Cost Allocation for the Joint Procurement of Flexibility: A Cooperative Game Approach

Prequalification Scheme of a Distribution System Operator for Supporting Wholesale Market Participation of a Distributed Energy Resource Aggregator

A Local Capacity Market Providing Local and System-Wide Flexibility Services

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