Optimal operation of the energy hubs in the islanded multi-carrier energy system using Cournot model

Rahmatian, Mohammad Rasoul; Shamim, Ahmad Ghaderi; Bahramara, Salah

doi:10.1016/j.applthermaleng.2021.116837

Cited by 14 publications

(6 citation statements)

References 16 publications

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“…In addition to the nonvoluntary load interruptions included in the planning process, the price-based DRP (load shifting) is taken into account here. According to (21), MGs can raise or reduce their power usage by Inc or Dec per hour according on the price of energy. It should be emphasized that, the total power consumption will be constant for a set period of time (24 h), as shown by (22).…”

Section: Bi-level Problem Modelingmentioning

confidence: 99%

“…In Reference 9, the effects of DRPs on the changes in operating and management costs of DNs consisting of several MGs have been studied from the perspective of technical and economic indicators. The scheduling and operation of multicarrier systems that include energy hubs with diverse types of power sources, using the Cournot competitive game strategy and taking into account the DRP and the ESSs, is of the recent studies in the area of energy systems management 21 . Nikmehr et al looked at the effects of DRP in interconnected MGs 22 .…”

Section: Introductionmentioning

confidence: 99%

“…The scheduling and operation of multicarrier systems that include energy hubs with diverse types of power sources, using the Cournot competitive game strategy and taking into account the DRP and the ESSs, is of the recent studies in the area of energy systems management. 21 Nikmehr et al looked at the effects of DRP in interconnected MGs. 22 While the study does account for the decentralized energy management mechanism, it does not take into account DN exchanges with the upstream network.…”

Section: Introductionmentioning

confidence: 99%

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Two‐level scheduling of an active power distribution network by considering demand response program and uncertainties

Rahnama

Dejamkhooy

Shayeghi

2023

Engineering Reports

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This study investigates a hierarchical approach for modeling the mutual impacts of distribution network (DN) decisions and microgrids in a multi‐microgrid system under the cover of a two‐level problem. Due to the conflicting interests of decision‐makers in an active DN, the optimization problem has a hierarchical structure, with distribution companies (Discos) at the top attempting to maximize profits and microgrids at the bottom attempting to reduce costs. This study examines the relationship between the unpredictability of renewable energy sources and power demand. In this mechanism, the influence of the demand response program (DRP) is also considered an important aspect of intelligent systems. The two‐level nonlinear optimization problem has been transformed to a one‐level linear problem using dual theory and KKT conditions. According to the findings of the studies, even though cost reduction is the sole objective of scheduling in centralized mode, applying DRP to the system results in a 16% reduction in overall costs for the two‐level scheduling method, and a 22% reduction in daily costs when compared to two‐level scheduling without DRP.

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Section: Bi-level Problem Modelingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Two‐level scheduling of an active power distribution network by considering demand response program and uncertainties

Rahnama

Dejamkhooy

Shayeghi

2023

Engineering Reports

View full text Add to dashboard Cite

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“…It is noteworthy that the storage system was employed to damp the intermittency of the solar power generation and promote the system's efficiency. The competition among energy hubs operating in the island mode has been addressed in [21] by using the Cournot model and the Nash equilibrium has been derived. The interaction between the energy hubs has been modeled by using a trasactive energy trading framework in [22] where local markets have been designed to enable the energy trading between hubs.…”

Section: Literature Reviewmentioning

confidence: 99%

A multi-stage joint planning and operation model for energy hubs considering integrated demand response programs

Mansouri

Ahmarinejad

Sheidaei

et al. 2022

International Journal of Electrical Power & Energy Systems

101

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“…(Paktinat et al, 2022) develops a complex model of operation based on information gap decision theory for multi-carrier energy networks based on which the supply of thermal and electrical load for the system is evaluated as well as the heat production program for storage role plants. An islandmode operation strategy for multi-carrier distribution systems was given in (Rahmatian et al, 2021), whereby the local network is cut off from the main grid in the event of a malfunction or other critical event. For multi-energy hub systems, a stochastic scheduling methodology was suggested to simultaneously optimize distribution networks and EHs.…”

Section: Introductionmentioning

confidence: 99%

A Fuzzy Cloud Theory based Stochastic Model for Multi-Carrier Energy Hubs in Grid-Connected and Islanded Operations

Quteishat,

Younis,

Safari

et al. 2024

Preprint

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The energy hub (EH), which is a crucial component of multi-energy systems, plays a significant role in increasing flexibility, and reliability. Due to the interaction of various energies, the unpredictability of renewable energy sources, energy prices, and consumer demands, the optimal operation of EHs presents a considerable challenge for operators. In this study, networked EH takes in a variety of energy sources, including electricity, gas, and wind, and after conversion, storage, direct connection, or shifting of demands, it supplies the hub's essential demands. In a predictable and stochastic environment, the EH is operated optimally based on an objective function that takes into account economic, greenhouse gas emission, and reliability parameters. An intelligent strategy based on fuzzy cloud theory is utilized to develop an entropy-entropy concept for its work in order to reflect the impact of uncertainties in the challenge. In both grid-connected and island-based operations, the cost of operating networked EHs is modeled as a MILP optimization problem with demand response program and reliability restrictions. Finally, the effectiveness of various modes in enhancing the reliability, and flexibility of energy systems in accordance with the optimal schedule for EHs is proven by modeling the suggested scheme on a sample test system.

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Optimal operation of the energy hubs in the islanded multi-carrier energy system using Cournot model

Cited by 14 publications

References 16 publications

Two‐level scheduling of an active power distribution network by considering demand response program and uncertainties

Two‐level scheduling of an active power distribution network by considering demand response program and uncertainties

A multi-stage joint planning and operation model for energy hubs considering integrated demand response programs

A Fuzzy Cloud Theory based Stochastic Model for Multi-Carrier Energy Hubs in Grid-Connected and Islanded Operations

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