Optimal resilient operation of hub energy system considering uncertain parameters

Paktinat, Mehdi; Amirahmadi, Meysam; Askari, Mohammad Tolou; Mousavizadeh, Farhood

doi:10.1016/j.segan.2022.100618

Cited by 9 publications

(4 citation statements)

References 31 publications

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“…In the literature, various aspects of optimal operation and scheduling of the MCESs have been investigated in the presence of many technologies. As a vital issue, the optimal power flow and economic dispatch problems of multiple energy carriers with different energy systems such as electricity, gas, and district heating have been discussed in [26][27][28]. An algorithm has been presented based on time-varying acceleration coefficients in the particle swarm optimization by introducing a formula for gas network loss in [26] and, also the Point Estimate Method (PEM) is used to solve the probabilistic energy flow of MCESs with considering the load and unforeseen faults uncertainties in the electrical, NG, and heating networks [28].…”

Section: Multi-carrier Energy Systemsmentioning

confidence: 99%

Optimization of transmission lines congestion management in integrated electricity and natural gas multi‐carrier energy systems

Khoshbouy,

Kazemzadeh

2024

IET Generation Trans & Dist

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The increasing interactivity between energy carrier networks such as electrical, natural gas (NG), and heating can be appropriately used for improving the operation optimality along with overcoming some challenges of those systems. With such a view, this paper studies the practical issue of power transmission lines congestion management in integrated multicarrier energy systems (MCESs) and makes a comparison with the only electrical operation mode. The MCES consisting of electrical and NG network infrastructures with exchanged energy between them is modelled by considering the several local energy hubs and their electrical and heat loads. Rescheduling of energy sources (power plants and gas wells) and demand side management in both electrical and NG networks have been utilized as the two important tools in the developed congestion alleviation framework. The proposed method confirms that the provided flexibility in the integrated operation of the MCESs can lead to a remarkable reduction in the congestion management cost index. Implementing the proposed congestion management framework on an assumed test MCES with a combined 39‐bus New England power system and 20‐node Belgium NG system demonstrates its effectiveness and applicability for the system operators.

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Section: Multi-carrier Energy Systemsmentioning

confidence: 99%

Optimization of transmission lines congestion management in integrated electricity and natural gas multi‐carrier energy systems

Khoshbouy,

Kazemzadeh

2024

IET Generation Trans & Dist

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“…Its related profle is displayed in Figure 11. Regarding the relationship between power and heat generated by CHP (13), the heat generated by this unit for supplying the thermal energy of the energy hub system is presented in Figure 12. It is clear that DRP, by considering resiliency improvement, can change the power and heat generated by CHP sharply.…”

Section: Simulation Input Parametersmentioning

confidence: 99%

“…Te optimal performance of energy hub buildings has been studied by taking into account the robustness of the energy demand [12] in which, contrary to other researchers, the dynamic behavior of thermal loads has been considered in assessing system security under the Markov chain concept. A similar work is referred to in [13] that is based on information-gap decision theory to ensure robust operation of the hub energy system by considering uncertainties such as demand and outages in the electrical section of the hub that may be caused by weather conditions. To investigate the optimal performance of active distribution networks, an optimization model has been presented in [14] under the concept of a renewable-energy hub, in which the availability of distributed generation resources, as well as electric vehicles capable of being connected to the network under probability methods, has been studied.…”

Section: Introductionmentioning

confidence: 99%

Optimal Operation of Energy Hub Systems under Resiliency Response Options

Khodadadi

Abedinzadeh

Alipour

et al. 2023

Journal of Electrical and Computer Engineering

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The economic and resilient operation of power systems has always been one of the main priorities of energy systems. In spite of improvements in various fields of energy systems, especially power systems, the issue of resilience has become more important. For this purpose, this paper proposes a multiobjective optimization model to improve the economic performance of energy hub systems and improve the resilience of electrical consumers. Also, consumer welfare, which is a function of the energy not supplied index, is maximized over a 24-hour period by considering extreme weather conditions. The ε-constraint method is applied to solve the proposed model by transforming the multiobjective optimization problem into several single-objective optimization problems. The max-min fuzzy method is also used to select the optimal solution among the Pareto solutions. A sample hub system is made up of electrical, thermal, and gas loads, electrical and thermal energy sources, and storage systems employed as a test system. A group of actions is applied to improve the resilience of the system, which may be affected by outages caused by storms under the resilience response program (RRP). The results proved the efficiency of the proposed RRP in improving economics and resilience.

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“…Ref. (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.…”

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 resilient operation of hub energy system considering uncertain parameters

Cited by 9 publications

References 31 publications

Optimization of transmission lines congestion management in integrated electricity and natural gas multi‐carrier energy systems

Optimization of transmission lines congestion management in integrated electricity and natural gas multi‐carrier energy systems

Optimal Operation of Energy Hub Systems under Resiliency Response Options

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

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