Distributed Transactive Framework for Congestion Management of Multiple-Microgrid Distribution Systems

Fattaheian‐Dehkordi, Sajjad; Rajaei, Ali; Abbaspour, Ali; Fotuhi‐Firuzabad, Mahmud; Lehtonen, Matti

doi:10.1109/tsg.2021.3135139

Cited by 17 publications

(14 citation statements)

References 39 publications

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“…the PCC of the DN and the TN), which would be associated with the 0 DNA t TE . Moreover, the operational constraints of the grid are presented by ( 24) - (27). Note that , it p at the PCC of MGs and the DN equals to , i DNA it p , which would be determined by (7) and sent to DNA i by MCU i.…”

Section: ) Central Opf Formulationmentioning

confidence: 99%

“…In this context, alternating direction method of multipliers (ADMM) [24] has been employed in several works developed recently to operate the electrical systems in a distributed manner [25], [26]. Authors in [27] have developed a distributed approach to address the congestion issue in the energy grid. Moreover, [28] has proposed an ADMM-robust-based energy management scheme to efficiently schedule the LRSs in a multi-agent DN.…”

Section: Introductionmentioning

confidence: 99%

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A Distributed Framework for Intense Ramping Management in Distribution Networks

Fattaheian‐Dehkordi

Abbaspour

Fotuhi‐Firuzabad

et al. 2023

IEEE Trans. Smart Grid

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High-penetration of renewable energy sources (RESs) in power networks has resulted in new operational challenges in the system. Accordingly, due to the uncertainty as well as variability of power-outputs of RESs, the flexibility ramping capacity of the system should be improved. Accordingly, system operators would rely on local responsive resources (LRSs) in distribution networks (DNs) to guarantee the demand-supply balance in each area of the system and minimize its associated ramping requirements. Nevertheless, the introduction of multimicrogrid (multi-MG) structures would limit the direct-access of system operators over the LRSs scheduling. As a result, this paper aims to develop a novel framework for intense-ramping management in multi-MG systems to settle the demand-supply gap in the system while addressing the distributed nature of the network. Respectively, alternating direction method of multipliers (ADMM) is employed to develop a decentralized coordination scheme in the system. Moreover, transactive energy control signals are utilized in the context of the ADMM-algorithm in order to exploit the LRSs scheduling to address the ramping constraints of the overall system. Lastly, the scheme is simulated on 37-bus and 123-bus DNs to analyze its efficacy in the management of intense ramping conditions in multi-MG DNs.

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Section: ) Central Opf Formulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Distributed Framework for Intense Ramping Management in Distribution Networks

Fattaheian‐Dehkordi

Abbaspour

Fotuhi‐Firuzabad

et al. 2023

IEEE Trans. Smart Grid

Self Cite

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“…According to the aforementioned facts, in [27], an optimal PMU placement method is developed to minimize the cost of PMUs and line relays considering the network observability and the minimum load loss with different configurations. Also, as taken into consideration in [28], an integer linear programming method is used to optimize measurement costs and network observability. The effects of state estimation accuracy in different contingencies have been analyzed in this regard.…”

Section: B Related Workmentioning

confidence: 99%

Developing an Optimal Framework for PMU Placement Based on Active Distribution System State Estimation Considering Cost-Worth Analysis

et al. 2023

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Due to low levels of observability and automation in active distribution networks (ADNs), the deployment of accurate measurement devices would be inevitable to increase the network observability. This work develops an optimal framework for phasor measurement unit (PMU) placement considering the accuracy of the distribution system state estimation (DSSE) process. In this regard, first, considering the significance of active power in supplying network loads, an active power sensitivity analysis is conducted in which the accuracy of active power injection at each bus is multiplied by its value of lost load. In this way, the accuracy of active power estimation could be transformed into a monetary value. Then, based on the determined sensitivity criterion, the optimal placement of PMUs has been performed with the aim of appropriate accuracy for the DSSE. On the other hand, the accuracy of the results obtained in the state estimation procedure can affect the estimation of line-loadings and lead to load shedding due to the low accuracy of estimated line-loadings. It is noteworthy that due to the high integration of distributed energy resources in distribution systems, ADNs would be prone to congestion issues. Therefore, in the next stage, this perspective is also used for determining the optimal number and location of PMUs in ADNs to improve their observability based on the operational conditions of the network. Finally, the developed algorithm is applied on the 77-bus-UK-test distribution network to investigate its effectiveness in improving the DSSE accuracy and mitigating interrupted loads. The numerical results indicate that implementing the proposed framework not only increases the DSSE accuracy but also decreases the cost of compensating the accuracy of active power by 7% compared to the typical network without PMUs. Further, the results show that the proposed model significantly mitigates the total curtailed loads due to the low accuracy of estimated line-loadings.

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“…In this regard, the Copula concept is taken into account to develop the scenarios associated with the power generation by RESs in different agents. Moreover, the MPC method is taken into consideration with the aim of modeling the operational characteristics of the future time intervals while optimizing each agent's operational scheduling in the current time interval [20]. In this regard, agents operating energy storage systems (ESSs) and electrical vehicles (EVs) would be able to optimize their resource scheduling in an efficient manner.…”

Section: Introductionmentioning

confidence: 99%

A Novel Distributed Paradigm for Energy Scheduling of Islanded Multiagent Microgrids

et al. 2022

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Restructuring in power systems has resulted in the development of microgrids (MGs) as entities that could be operated in grid-connected or islanded modes while managing the operation of their systems. On the other hand, privatization and integration of independently operated distributed resources in energy systems have caused the introduction of multi-agent structures. In this regard, new operational management methodologies should be employed by the MG operator (MGO) to efficiently operate the system while addressing the distributed nature of multi-agent structures. Accordingly, this paper aims to provide a new algorithm to operate an islanded multi-agent MG utilizing the peer-to-peer (P2P) management concept; which copes with the distributed nature of the system. Consequently, each agent would independently schedule its respective local resources, while participating in the hourly P2P market scheme. Moreover, MGO manages the power transactions among the agents. Furthermore, different types of power generation resources are modeled in the proposed optimization scheme while scenario-based stochastic optimization, as well as the condition-value-at-risk index, are deployed to address the uncertainty and the operational risk associated with the operational optimization of renewable energies. Finally, the developed framework is implemented on a 10-bus-MG test system to investigate its effectiveness in the management of the system and also on a 33-bus-MG test system to study its scalability.

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Distributed Transactive Framework for Congestion Management of Multiple-Microgrid Distribution Systems

Cited by 17 publications

References 39 publications

A Distributed Framework for Intense Ramping Management in Distribution Networks

A Distributed Framework for Intense Ramping Management in Distribution Networks

Developing an Optimal Framework for PMU Placement Based on Active Distribution System State Estimation Considering Cost-Worth Analysis

A Novel Distributed Paradigm for Energy Scheduling of Islanded Multiagent Microgrids

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