Congestion management market design- Approach for the Nordics and Central Europe

Attar, Mehdi; Repo, Sami; Mann, Pierre

doi:10.1016/j.apenergy.2022.118905

Cited by 22 publications

(6 citation statements)

References 33 publications

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“…Refs. [81,82]), to which a monopolistic position of grid companies may be a key contributor. Allocating sufficient power and autonomy to local governments in the electricity sector to assist in ensuring a more balanced check on the power of grid companies is worth further analytical consideration.…”

Section: Discussionmentioning

confidence: 99%

Collaborative efforts on energy transition in urban China: Institutional enabling and constraining conditions

Zuidema²,

Roo³

2022

Renewable and Sustainable Energy Reviews

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Section: Discussionmentioning

confidence: 99%

Collaborative efforts on energy transition in urban China: Institutional enabling and constraining conditions

Zuidema²,

Roo³

2022

Renewable and Sustainable Energy Reviews

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“…Some of the illustrious research work for congestion management incorporating with DGs is discussed hereafter. A congestion management strategy has been proposed by Attar et al [20,30] for optimal allocation of DGs at the node with maximum LMP and reformulated the OPF by considering the cost function for finding the optimal DG size. Further, utilization of LMP difference approach leads to substantial decrement in LMP and maximization of social welfare has been noted.…”

Section: Literature Surveymentioning

confidence: 99%

“…Generator Sensitivity Index (GSI) is the widely adopted method for optimal selection of generators to manage congestion and have been proposed by several authors in the extensive literature [5, 8, 16, 19‐21]. But generation rescheduling alone is not suitable to manage the congestion thus several authors [17–21] proposed other methods such as: reactive power support by placing Flexible AC Transmission Systems (FACTS) device [6, 12–13, 15–17, 21‐24]. Placement of FACTS devices in electrical network enormously enhances the power transfer capacity of the line as well as of the network.…”

Section: Introductionmentioning

confidence: 99%

“…Though, in actual the varying DG sizes have distinct impacts on the performance of the power system due to variation of OPF and can considerably reduce the LMP difference and thereafter the cost. For this reason, in many recent studies applications of classical constrained and multivariable based [13‐14, 17, 23–24, 27, 30, 32, 37, 38, 40‐41], meta‐heuristics (Sensitivity Index based approaches) [12, 16, 19, 20–21, 26, 35–36, 39] and Artificial Intelligence (AI) such as GA, PSO, DE, HEA, Hybrid Bacterial Foraging Optimization and Nelder Mead Algorithm, Hybrid Bacterial Foraging Optimization, Hybrid Firefly and Differential Evolution Algorithm, Hybrid Nelder‐Mead–Fuzzy Adaptive Particle Swarm Optimization, Hybrid Harmony Search Algorithm, and Modified grey wolf optimization approach [4, 6–11, 15, 17–18, 21, 22, 28, 31–19, 33–34, 38‐39] etc. based approaches are emerging extensively to solve single and multi‐objective problems of congestion management.…”

Section: Introductionmentioning

confidence: 99%

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Transmission network congestion control by DESS through interval computation and capacity optimization via hybrid DE‐PSO technique

Asija

Viral

Choudekar

et al. 2022

IET Generation Trans & Dist

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Transmission congestion is one of major drawbacks of deregulated power system. Congestion gradually violates the physical, operational and policy constraints of the present electricity market. Congestion management in huge power system remains a challenging and tough task, which can be achieved by introducing one or more Distributed Energy Resources (DERs) such as Distributed Generation (DG), electric vehicles, modern micro grid, Energy Storage Systems (ESSs) etc. over congested lines. Consequently, this work proposes the hourly congestion management by optimal allocation of DG in ‘24 hours’ time frame. Further, Transmission Congestion Rent is used to determine the optimal and sub optimal locations for DG, whereas Differential Evolution and Particle Swarm Optimization based hybrid optimization technique is exploited to identify optimal DG size. In this work, solar based DG along with battery based ESS is considered to act as Distributed Energy Storage System ‘DESS. Subsequently, Interval computation method is introduced in this work to consider the intermittency of solar DG. Battery Energy Storage System ‘BESS’ is integrated with DGs due to its excess energy storage capability during off‐load period and make it available at peak load conditions, thereby enhancing the overall efficiency of the network. The ‘24 hours’ solar irradiance and temperature data of Delhi, India is taken into account to mathematically model the power generated from Solar DG. The proposed methodology is tested on IEEE 30‐bus system and ‘24 hours’ demand data is generated from the original IEEE load data. From the obtained results, it has been established that the hybrid optimization technique results into a better solution as compared to their individual enforcement in managing available generation resources and congestion problem.

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“…Ref. [16] states that standardized products allow for more transparent competition between FSPs due to the creation of a merit order list (MOL) of bids, enabling buyers to select the most cost-efficient bid. We build upon their work by analyzing the potential for standardizing heterogeneous flexibility products and markets, as well as exploring possible approaches to achieving this standardization.…”

Section: Introductionmentioning

confidence: 99%

Efficient Operationalization of Flexibility Procurement: Market Design Analysis and Process Definition

Fanta,

Tolstrup,

Riegler

et al. 2024

Energies

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Flexibility provision for ancillary services and electricity markets has been widely seen as crucial for the future of highly interconnected energy systems with high shares of renewables. Yet, little research has so far addressed (1) how its procurement could be best operationalized and (2) how limited flexible resources can be used more efficiently given the growing system needs. This paper focuses on flexibility services for transmission operators, specifically balancing and redispatch, as well as the intraday market within the context of the European electricity market. To analyze possible services and/or market combinations, we compare three modes of flexibility procurement: (a) sequential, (b) parallel and (c) combined. We evaluate the different modes of procurement options based on eight criteria. We further investigate how the procurement of flexibility, including small-scale technical units, could be organized via a flexibility platform given the most promising implementation setup, and detail the process for “flexibility service provider <> flexibility platform <> market interaction”, taking the multi-use-case logic into account.

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Congestion management market design- Approach for the Nordics and Central Europe

Cited by 22 publications

References 33 publications

Collaborative efforts on energy transition in urban China: Institutional enabling and constraining conditions

Collaborative efforts on energy transition in urban China: Institutional enabling and constraining conditions

Transmission network congestion control by DESS through interval computation and capacity optimization via hybrid DE‐PSO technique

Efficient Operationalization of Flexibility Procurement: Market Design Analysis and Process Definition

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