Optimal operation of energy hubs including parking lots for hydrogen vehicles and responsive demands

Nasir, Mohammad; Jordehi, Ahmad Rezaee; Matin, Seyed Alireza Alavi; Tabar, Vahid Sohrabi; Tostado‐Véliz, Marcos; Mansouri, Seyed Amir

doi:10.1016/j.est.2022.104630

Cited by 50 publications

(27 citation statements)

References 48 publications

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“…The calculated electrical power is flowed over the grid to meet the consumers' electrical power demand. The calculation is performed via equations (21) to (25). The parameters P e,n,t,s and D e,n,t,s in ( 21) are the generated and consumed powers for each bus at each time.…”

Section: Problem Formulationmentioning

confidence: 99%

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Eco-Environmental Uncertain Management of Various Energy Hubs within a Microgrid Concentrated on Demand Response, Intelligent Parking Lots, and Power-to-Gas Unit Effects

Gharai

Hooshmand

Nosratabadi

2023

International Journal of Energy Research

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Nowadays, consumption of different energy carriers is increasing due to the division of community activities in various sectors such as residential, commercial, and industrial. The energy hub concept is used to meet the demands of different energy carriers in these sections. In this paper, a new method for energy management of a microgrid is presented in an intelligent network based on three types of commercial, residential, and industrial energy hubs. In the energy hubs, a wide range of components, including renewable and nonrenewable generation units, converters, storage devices, intelligent parking lots consisting of electric vehicles, P2G units, and cogeneration units, are used to supply electrical, heating, cooling, and natural gas energies. Some parameters like renewable generations, energy demands, and arriving and departure time of electric vehicles are considered to be uncertain, and a relevant method is applied to provide a near-realistic profile for them. In addition, a demand response paradigm has also been proposed for three types of electrical, heating, and cooling demands at the hub output side. Therefore, in this method, a mixed integer linear programming model is proposed based on benefit and reduction of emission caused by the activity of gas-burning units for short-term planning and obtaining an optimal solution for generation and sending loads in a distribution network containing energy hubs. To evaluate the performance of the proposed modeling and structure, the presented approach is applied on a modified 33-bus IEEE test network. According to the results of the energy management model, it is possible to significantly increase benefits and also obtain a smoother consumption pattern in consumption with financial incentives.

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Section: Problem Formulationmentioning

confidence: 99%

“…Ref. [21] has discussed the optimization problem in order to reduce the cost of an EH by considering the PV as well as IPL. Also in [22], in order to minimize the impact of unexpected events on the system, a new energy management tool for isolated microgrids that is resistant to failure is presented.…”

Section: Introductionmentioning

confidence: 99%

Eco-Environmental Uncertain Management of Various Energy Hubs within a Microgrid Concentrated on Demand Response, Intelligent Parking Lots, and Power-to-Gas Unit Effects

Gharai

Hooshmand

Nosratabadi

2023

International Journal of Energy Research

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“…The objective function of the REH scheduling problem includes minimizing the cost of NG purchased [1], the cost of electricity purchased from the day-ahead (DA) market [1], the cost of operation of the biomass burner CHP [1], start-up and shut-down costs of CHP ST and CHP ICE units [63], revenue from heat sales [1] respectively, according to (2)- (8). Considering that (2) consists of 6 terms, Equations ( 3)-( 8) describe each of these terms.…”

Section: Objective Functionmentioning

confidence: 99%

“…Due to the significant impact of parameters such as wind speed, solar sunlight, electricity market price, electric demand, and electric vehicles on energy management results, their uncertainty has been done using scenario generation based on PDFs similar to previous research. In [8], researchers study a type of energy hub that includes hydrogen vehicle parking. This energy hub includes electrical, thermal, cooling, NG, and hydrogen loads, which not only have been considered uncertain many times but also the initial power of hydrogen vehicle tanks and solar farm (SF) output.…”

Section: Introductionmentioning

confidence: 99%

Development of Monte‐Carlo‐based stochastic scenarios to improve uncertainty modelling for optimal energy management of a renewable energy hub

Tavakoli

Karimi

2022

IET Renewable Power Gen

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The Monte-Carlo (MC) method for generating stochastic scenarios to model uncertainty has a special role in research related to energy systems, but most studies have not provided a specific criterion for choosing an appropriate probability distribution function for using MC. This paper develops a new process for applying MC to improve uncertainty modelling based on Anderson-Darling (AD), Kolmogorov-Smirnov (KS), and Chi-Square (CS) tests statistical. Moreover, three clustering algorithms of K-means, Fuzzy c-means, and Kantorovich distance matrix have been applied to reduce the generated scenarios. To evaluate the performance of the proposed process, a renewable energy hub involving electricity, heat, cooling, natural gas, and biomass fuel carriers, is used employing valid data. The results of numerical studies show that the quality of the scenarios in the proposed process based on statistical tests is much higher than the conventional method. Also, MC-CS has been superior to the other two proposed methods in various seasons, so that, for example, in summer, its operating cost has decreased by 3% and 4% compared to MC-KS and MC-AD, respectively.

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“…A novel supervisory-based model for the optimal scheduling of distributed HESS fueling stations for tracking the external consumers of hydrogen and electricity has been provided in [20]. A multi-objective mixed integer linear programming (MILP) framework based on the uncertainty related to the demand, prices, and wind speed for the design of an energy hub including parking areas of hydrogen vehicles has been developed in [21]. An optimal scheduling strategy for the energy management of a microgrid including solar panels paired with a HESS and integrated BESS units has been proposed in [22] to satisfy electric and hydrogen demands requested by the industrial hydrogen facility.…”

Section: Introductionmentioning

confidence: 99%

A Coordinated Optimal Operation of a Grid-Connected Wind-Solar Microgrid Incorporating Hybrid Energy Storage Management Systems

Abdelghany

Al‐Durra

Gao

2024

IEEE Trans. Sustain. Energy

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The hybrid-energy storage systems (ESSs) are promising eco-friendly power converter devices used in a wide range of applications. However, their insufficient lifespan is one of the key issues by hindering their large-scale commercial application. In order to extend the lifespan of the hybrid-ESSs, the cost functions proposed in this paper include the degradation of the hydrogen devices and the battery. Indeed, this paper aims to develop a sophisticated model predictive control strategy for a grid-connected wind and solar microgrid, which includes a hydrogen-ESS, a battery-ESS, and the interaction with external consumers, e.g., battery/fuel cell electric vehicles. The integrated system requires the management of its energy production in different forms, i.e., the electric and the hydrogen ones. The proposed strategy consists of the economical and operating costs of the hybrid-ESSs, the degradation issues, and the physical and dynamic constraints of the system. The mixed-logic dynamic framework is required to model the operating modes of the hybrid-ESSs and the switches between them. The effectiveness of the controller is analyzed by numerical simulations which are conducted using solar and wind generation profiles of solar panels and wind farms located in Abu Dhabi, United Arab Emirates. Such simulations, indeed, show that the proposed strategy appropriately manages the plant by fulfilling constraints and energy requests while reducing device costs and increasing battery life.

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Optimal operation of energy hubs including parking lots for hydrogen vehicles and responsive demands

Cited by 50 publications

References 48 publications

Eco-Environmental Uncertain Management of Various Energy Hubs within a Microgrid Concentrated on Demand Response, Intelligent Parking Lots, and Power-to-Gas Unit Effects

Eco-Environmental Uncertain Management of Various Energy Hubs within a Microgrid Concentrated on Demand Response, Intelligent Parking Lots, and Power-to-Gas Unit Effects

Development of Monte‐Carlo‐based stochastic scenarios to improve uncertainty modelling for optimal energy management of a renewable energy hub

A Coordinated Optimal Operation of a Grid-Connected Wind-Solar Microgrid Incorporating Hybrid Energy Storage Management Systems

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