An Incentive-Based Mechanism to Alleviate Active Power Congestion in a Multi-Agent Distribution System

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

doi:10.1109/tsg.2020.3037560

Cited by 32 publications

(24 citation statements)

References 22 publications

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“…The characteristics of PV units, loads, ESSs, and the power sector network are described in [35,37]. Moreover, energy prices and loads in the gas sector are modelled based on the Australian energy market as presented in [36]. The peak demands for electricity and gas grids are 792.2 kW and 155.44 GJ at hours 21 and 1, respectively.…”

Section: Numerical Results and Discussionmentioning

confidence: 99%

Flexibility‐based operational management of a microgrid considering interaction with gas grid

Kamrani

Fattaheian‐Dehkordi

Abbaspour

et al. 2021

IET Generation Trans & Dist

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Power systems have been undergoing significant restructuring as a result of increasing independently operated local resources. Consequently, new entities, i.e. microgrids (MGs), are developed, which facilitate the integration of local resources, specifically renewable energy sources (RESs), into the operation of power systems. Despite many benefits, the integration of RESs could cause severe rampings in the net-load, which would challenge the reliable operation of the system. Therefore, it seems essential that flexible local resources in an MG should be employed to provide flexibility services to the main grid, thus ensuring that ramping in the MG's net-load would meet the ramping capability in the upper-level system. Accordingly, this study aims to develop an energy management framework to schedule local resources in an MG considering system's ramping limits. In this regard, the interaction between electricity and gas grid as a potential future flexible resource for energy systems is considered in the developed scheme. Moreover, the chance-constrained methodology is employed to address the uncertainty associated with the operational management of RESs. Finally, the proposed energy management model is analysed from different perspectives to show the importance of the contribution of flexible local resources to the efficient improvement of the power system flexibility.

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Section: Numerical Results and Discussionmentioning

confidence: 99%

Flexibility‐based operational management of a microgrid considering interaction with gas grid

Kamrani

Fattaheian‐Dehkordi

Abbaspour

et al. 2021

IET Generation Trans & Dist

Self Cite

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“…As a way to meet the flexibility constraints in each time period (i.e. time periods 1,2,15,16,18,19,20,21), CEMS has increased/decreased the power exchange with the grid in one hour; while decreasing/increasing the traded power with the grid in the next hour. The analyzed results show that implementing the presented scheme would enable the efficient operation of the MMG system while providing flexibility service to the grid operator.…”

Section: Methodsmentioning

confidence: 99%

“…,, ch max k i P , ,, ch min k i P Maximum and minimum possible charging of storage unit i in the k th MG. Maximum and minimum possible change in power generation of flexible power unit i in the k th MG at t. ISTRIBUTION systems have experienced a dramatic increasing rate of renewable energy sources (RESs) installation in recent years; which is primarily motivated by the fact that these resources are clean and free from contamination [1]. Nevertheless, the growing tendency to RESs such as solar energy and wind power has caused new challenges in operation and planning of power systems.…”

Section: Res K It Pmentioning

confidence: 99%

A Two-Stage Flexibility-Oriented Stochastic Energy Management Strategy for Multi-Microgrids Considering Interaction With Gas Grid

Kamrani

Fattaheian‐Dehkordi

Gholami

et al. 2023

IEEE Trans. Eng. Manage.

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“…On the other hand, the increasing trend of integration of distributed energy resources (DERs) [25], as well as the introduction of microgrids, facilitate the islanded operation of the energy systems in case of grid's failure [26]. In other words, the areas which are at high risk of load curtailment in case of landslide happening could be operated as microgrids and reinforced by installation of DERs [27].…”

Section: Management Of the System Considering Landslide Hazardmentioning

confidence: 99%

Modeling and Quantification of Power System Resilience to Natural Hazards: A Case of Landslide

et al. 2021

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Power systems are stretched across thousands of miles of diverse territories, often in remote locations, to generate and transfer the energy to geographically dispersed customers. The system is therefore subjected to a wide range of natural hazards which could potentially damage critical system components and cause interruption of electricity supply in some areas. To improve system resilience against natural hazards, management frameworks are required to identify hazardous areas and prioritize reinforcement activities in order to take the most out of the limited resources.Landslide is a natural disaster that involves the breakup and downhill flow of rock, mud, water, and anything caught in the path. It is a phenomenon frequently occurred in some parts of the world that could result in the failure of power transmission networks. Consequently, in this paper, a novel approach has been proposed that quantifies the landslide hazard, its damage to power system components, and the impacts on the overall system performance to prioritize reinforcement activities and mitigate the landslide vulnerability. The proposed approach is applied to a real power system and the obtained results are discussed in detail.

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An Incentive-Based Mechanism to Alleviate Active Power Congestion in a Multi-Agent Distribution System

Cited by 32 publications

References 22 publications

Flexibility‐based operational management of a microgrid considering interaction with gas grid

Flexibility‐based operational management of a microgrid considering interaction with gas grid

A Two-Stage Flexibility-Oriented Stochastic Energy Management Strategy for Multi-Microgrids Considering Interaction With Gas Grid

Modeling and Quantification of Power System Resilience to Natural Hazards: A Case of Landslide

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