Numerical Study of a Phase Change Material Energy Storage Tank Working with Carbon Nanotube–Water Nanofluid under Ha’il City Climatic Conditions

Kolsi, Lioua; Hussein, Ahmed Kadhim; Hassen, Walid; Said, Lotfi Ben; Ayadi, Badreddine; Rajhi, Wajdi; Labidi, Taher; Shawabkeh, Ali; Ramesh, K.

doi:10.3390/math11041057

Cited by 20 publications

(7 citation statements)

References 56 publications

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“…Utilizing a two-objective optimization framework, the plan aims to minimize the expenses associated with both VPP and EENS planning. The annual cost of constructing the various sources and ESSs in the VPP is included in the planning costs, in addition to the expected yearly operating expenditures of the NRESs and the purchase of electricity from the distribution network for the VPP [21][22][23][24][25]. Power flow equations for the distribution network, the VPPs' planning and operation model, and operational and resilience constraints are other factors that affect the problem.…”

Section: Contributionsmentioning

confidence: 99%

Resiliency-Constrained Placement and Sizing of Virtual Power Plants in the Distribution Network Considering Extreme Weather Events

Zadehbagheri,

Pirouzi,

Dehghan

et al. 2024

Preprint

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The placement and scale of virtual power plants (VPPs) in distribution networks are the only topics covered in this article that pertain to the resilience of the grid to severe weather. This problem is framed as a two-objective optimization, where the predicted energy that the network would not deliver in the case of an earthquake or flood, and the annual planning cost of the VPP, are the two objective functions to be reduced. The constraints include the formula for VPP planning, limitations on network operation and resilience, and equations for AC power flow. Uncertainties about demand, renewable power, energy prices, and the supply of network hardware and VPP components are all taken into account in stochastic programming. The proposed technique achieves a single-objective formulation in the subsequent stage by the use of a Pareto optimization strategy based on the ε-constraint method. This article uses a solver based on a hybrid of Crow search algorithm (CSA) and sine cosine algorithm (SCA) to achieve the trustworthy optimal solution with lowest dispersion in the final response. In order to tackle the problem, the proposed system looks at how the VPP affects network resilience, scales it, and combines it with the hybrid evolutionary algorithm. In the end, the numerical findings verify that the optimal placement and dimensions of VPPs help to improve the operational, financial, and resilience status of the distribution network by applying the proposed problem to a 69-bus distribution network.

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Section: Contributionsmentioning

confidence: 99%

Resiliency-Constrained Placement and Sizing of Virtual Power Plants in the Distribution Network Considering Extreme Weather Events

Zadehbagheri,

Pirouzi,

Dehghan

et al. 2024

Preprint

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show abstract

“…The VPP under study consists of WF and flexible sources like ESS [45][46][47][48][49][50] and DRP and is in connection with the transmission system. The VPP aims to inject/absorb electrical power and meet the reserve required by the system.…”

Section: Vpp Constraintsmentioning

confidence: 99%

Network‐constrained unit commitment‐based virtual power plant model in the day‐ahead market according to energy management strategy

Pirouzi

2023

IET Generation Trans & Dist

105

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Energy management of a virtual power plant (VPP) that consists of wind farm (WF), energy storage systems and a demand response program is discussed in the present study. The introduced strategy is realized at the electrical power transmission level and takes into account the collaboration between VPPs in day‐ahead energy and reserve markets. One notable feature of the proposed strategy is attempting to make the revenue of VPPs close to the operating cost of generating units as much as possible. The objective function is subjected to the network‐constrained unit commitment model, up and down reserve requirements and the proposed VPP constraints. This method is taking into account the uncertainty in system and VPP loads, day‐ahead market energy and reserve price and WF power generation. This strategy is applied as hybrid stochastic‐robust scheduling to the VPP at the electrical power transmission level, where the scenario‐based stochastic programming models the uncertainty of day‐ahead market prices, and the bounded uncertainty‐based robust optimization has been adopted to model the uncertainties related to the load and WF power. Scheme has been tested on IEEE systems. According to the obtained results, the proposed coordination of VPPs in the mentioned markets demonstrates capability of suggested strategy.

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“…The operating model of EVs aggregation is described by Equations ( 15)-( 18) [6,19]. Constraints (15) and ( 16) are respectively the charge and discharge rate limit [51][52][53][54]. Equations ( 17) and ( 18) express the amount of energy storage in the EVs and its boundary.…”

Section: Formulation Of the Ibvpp Operationmentioning

confidence: 99%

Energy management of distribution network with inverter‐based renewable virtual power plant considering voltage security index

Azarhooshang,

Rezazadeh

2023

IET Renewable Power Gen

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Virtual power plants (VPP) with resources and storages are able to control the active power of the network. They are also connected to the network through an inverter, which is capable of controlling reactive power. Therefore, it is expected that the optimal use of inverter‐based VPP can play an effective role in improving the economic and technical status of the distribution network. So, the operation of a smart distribution system is presented in this paper by considering inverter‐based VPPs constrained to the operator's measures. The weighted sum of expected energy loss (EEL) and voltage security index (VSI) is minimized while considering AC optimal power flow equations, restrictions of network's security, and operating model of the inverter‐based VPPs. Uncertainties with an origin of the amount of demand, renewable energy, and parameters of mobile energy storage are also discussed. The uncertainties are modelled using a stochastic optimization approach relying on the unscented transformation (UT). Evaluating inverter‐based VPP performance, providing models of flexible resources such as responsive loads and mobile storages, checking network voltage security status, and modelling uncertainties using the UT method are among the innovations of this study. According to the results, it is demonstrated that the technical situation of the distribution system is improved with the help of optimal management of the VPP. With energy management of the inverter‐based VPP, the suggested design has succeeded to enhance the operating status (voltage security) of the system by approximately 33–73% (12%) in comparison to power flow studies.

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Numerical Study of a Phase Change Material Energy Storage Tank Working with Carbon Nanotube–Water Nanofluid under Ha’il City Climatic Conditions

Cited by 20 publications

References 56 publications

Resiliency-Constrained Placement and Sizing of Virtual Power Plants in the Distribution Network Considering Extreme Weather Events

Resiliency-Constrained Placement and Sizing of Virtual Power Plants in the Distribution Network Considering Extreme Weather Events

Network‐constrained unit commitment‐based virtual power plant model in the day‐ahead market according to energy management strategy

Energy management of distribution network with inverter‐based renewable virtual power plant considering voltage security index

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