Integration of clustering analysis and reward/penalty mechanisms for regulating service reliability in distribution systems

Shourkaei, Hosein Mohammadnezhad; Fotuhi-Firuzabad, M.; Billinton, R.

doi:10.1049/iet-gtd.2010.0743

Cited by 19 publications

(37 citation statements)

References 14 publications

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“…However, it has been proved in theory and practice that service reliability would be deteriorated under PBR [5], [13]. Therefore, regulators apply some tools to prevent such an outcome.…”

Section: Reward-penalty Schemementioning

confidence: 99%

“…On the other hand, it will be penalized if cannot satisfy the desired reliability level [2]- [4]. The regulator determines target value of the RPS using either its historic reliability data [3], or based on historical reliability data of all similar companies [5], [6]. The latter method, which is based on the yardstick regulation concept, can effectively create competition between DisCos aimed to improve reliability [5].…”

Section: Introductionmentioning

confidence: 99%

“…The regulator determines target value of the RPS using either its historic reliability data [3], or based on historical reliability data of all similar companies [5], [6]. The latter method, which is based on the yardstick regulation concept, can effectively create competition between DisCos aimed to improve reliability [5]. Determining the companies with similar attributes is the main requirement of applying this method in real applications.…”

Section: Introductionmentioning

confidence: 99%

“…In [6], a dynamic cluster technique is utilized to determine the similar sets. In [5], the fuzzy clustering algorithm is proposed for categorizing similar DisCos.…”

Section: Introductionmentioning

confidence: 99%

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A new reward-penalty mechanism for distribution companies based on concept of competition

Jooshaki

Abbaspour

Fotuhi‐Firuzabad

et al. 2014

IEEE PES Innovative Smart Grid Technologies, Europe

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In this paper, a new method for designing procedure of Reward-Penalty Scheme (RPS) in distribution system is proposed. Being fair and adoptable in viewpoint of distribution companies (DisCos) are main superiorities of the proposed RPS. Established based on concept of the Yardstick theory, its application can ensure regulators that a perfect competition will be created between DisCos to improve the service reliability. Also, such a regulation scheme can be a key for power system decision makers in order to prevent the DisCos from decreasing service reliability. Aimed to reach a fair mechanism, the proposed RPS rewards/penalizes the DisCos only compared with the other ones owning similar conditions. In this regard, Fuzzy C-means (FCM) clustering technique is applied to effectively categorize the similar DisCos into different groups. The average system reliability indices, i.e. System Average Interruption Frequency Index (SAIFI) and Expected Energy Not Supplied (EENS) are chosen as the comparison criteria in the proposed RPS. In order to illustrate efficiency of the proposed method, the proposed RPS is implemented on the Iranian electric power distribution sector to compare the abilities of different companies in reaching the predetermined goals.

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“…However, it has been proved in theory and practice that service reliability would be deteriorated under PBR [5], [13]. Therefore, regulators apply some tools to prevent such an outcome.…”

Section: Reward-penalty Schemementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…In [6], a dynamic cluster technique is utilized to determine the similar sets. In [5], the fuzzy clustering algorithm is proposed for categorizing similar DisCos.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A new reward-penalty mechanism for distribution companies based on concept of competition

Jooshaki

Abbaspour

Fotuhi‐Firuzabad

et al. 2014

IEEE PES Innovative Smart Grid Technologies, Europe

Self Cite

View full text Add to dashboard Cite

show abstract

“…This methodology was then employed in designing the procedure of some fair RPSs. In [11] and [12], fuzzy C-means clustering was borrowed to effectively categorize similar DISCOs, and the RPSs were designed for each cluster to improve service reliability. In [13], the RPS was designed using data envelopment analysis (DEA).…”

Section: Introductionmentioning

confidence: 99%

Designing a regulatory framework for efficient integration of distributed generation technologies

Jooshaki¹,

Abbaspour²,

Fotuhi‐Firuzabad³

et al. 2017

Turk J Elec Eng & Comp Sci

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This paper focuses on the designing procedure of a regulatory framework in distribution networks with the main goal being to facilitate the integration of distributed generation (DG) units. The proposed framework is based on the concept of the reward penalty scheme (RPS) and creates effective financial incentives for distribution companies (DISCOs) in improving the quality of their services by applying DG units. To achieve this goal, reliability indices and annual energy losses of a distribution network are considered as two significant measures used in designing the structure of several RPSs. Employing these schemes, the regulators can quantify the quality of services provided by DISCOs. In order to examine the abilities of the proposed method, a case study on a test distribution system connected to bus 6 of the RBTS is performed. The obtained results show that a well-designed regulatory scheme can motivate DISCOs to adopt higher penetration of DG in such a way that their technical criteria can be improved.

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Reliability incentive regulation based on reward‐penalty mechanism using distribution feeders clustering

Khonakdar-Tarsi

Fotuhi‐Firuzabad

Ehsan

et al. 2021

Int Trans Electr Energ Syst

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Summary This paper proposes an approach to enhance the reliability regulation based on the relative performance. In the proposed approach, the distribution system feeders are clustered based on the parameters, which cannot be controlled by distribution companies. Afterward, a reliability incentive regulation is applied to each cluster so that the performance of each feeder is compared to its counterparts in the same cluster. The quality regulation is designed based on the reward‐penalty mechanism, which penalizes feeders whose performance is worse than a benchmark and rewards those providing a performance higher than the benchmark. Then, the reward and penalty associated to the electric distribution company are determined to summarize the rewards and penalties for all feeders. Having this approach implemented, utilities compete to make more profits by serving customers at higher reliability levels. To assess the effectiveness of proposed method, it is applied to a real distribution network containing 194 feeders.

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Integration of clustering analysis and reward/penalty mechanisms for regulating service reliability in distribution systems

Cited by 19 publications

References 14 publications

A new reward-penalty mechanism for distribution companies based on concept of competition

A new reward-penalty mechanism for distribution companies based on concept of competition

Designing a regulatory framework for efficient integration of distributed generation technologies

Reliability incentive regulation based on reward‐penalty mechanism using distribution feeders clustering

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