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A decomposed solution to multiple-energy carriers optimal power flow
, Article IEEE Transactions on Power Systems ; Vol. 29, issue. 2 , March , 2014 , p. 707-716 ; ISSN: 8858950 ; Abbaspour, A ; Fotuhi-Firuzabad, M ; Hajipour, E ; Sharif University of Technology
Abstract
Presence of energy hubs in the future vision of energy networks creates a great opportunity for system planners and operators to move towards more efficient systems. The role of energy hubs as the intermediate in multi-carrier energy (MCE) systems calls for a generic framework to study the new upcoming technical as well as economical effects on the system performance. In response, this paper attempts to develop a general optimization and modeling framework for coupled power flow studies on different energy infrastructures. This, as a large-scale nonlinear problem, is approached through a robust optimization technique, i.e., multi-agent genetic algorithm (MAGA). The proposed procedure...
Optimal charge scheduling of PHEV in a multi-carrier energy home
, Article 2014 14th International Conference on Environment and Electrical Engineering, EEEIC 2014 - Conference Proceedings ; 2014 , p. 199-203 ; ISBN: 9781480000000 ; Fotuhi-Firuzabad, M ; Sharif University of Technology
Abstract
The presence of different energy carriers as well as the advent of new multi-generation technologies such as combined heat and power (CHP) at homes necessitates designing an integrated model for optimal operation of such multi-carrier energy home. A residential energy hub model including a CHP and a Plug-in hybrid electric vehicle (PHEV) is presented in this paper to show the multi-carrier energy system operation. In addition, this paper proposes an optimization-based formulation for PHEV charging control in the residential energy hub. The payment cost is minimized for the charge scheduling of PHEV through optimization of the residential energy hub operation in response to the...
Multiagent genetic algorithm: An online probabilistic view on economic dispatch of energy hubs constrained by wind availability
, Article IEEE Transactions on Sustainable Energy ; Vol. 5, issue. 2 , 2014 , p. 699-708 ; ISSN: 19493029 ; Dehghanian, P ; Fotuhi-Firuzabad, M ; Abbaspour, A ; Sharif University of Technology
Abstract
Multiple energy carriers (MECs) have been broadly engrossing power system planners and operators toward a modern standpoint in power system studies. Energy hub, though playing an undeniable role as the intermediate in implementing the MECs, still needs to be put under examination in both modeling and operating concerns. Since wind power continues to be one of the fastest-growing energy resources worldwide, its intrinsic challenges should be also treated as an element of crucial role in the vision of future energy networks. In response, this paper aims to concentrate on the online economic dispatch (ED) of MECs for which it provides a probabilistic ED optimization model. The presented model...
Optimising operational cost of a smart energy hub, the reinforcement learning approach
, Article International Journal of Parallel, Emergent and Distributed Systems ; Volume 30, Issue 4 , Oct , 2015 , Pages 325-341 ; 17445760 (ISSN) ; Sheikhi, A ; Ranjbar, A. M ; Sharif University of Technology
Taylor and Francis Ltd
2015
Abstract
The concept of smart grid (SG) has been introduced to improve the operation of the power systems. In modern structures of power systems, different reasons prompt researchers to suggest integrated analysis of multi-carrier energy systems. Considering synergy effects of the couplings between different energy carriers and utilising intelligent technologies for monitoring and controlling of energy flow may change energy system management in the future. In this paper, we propose a new solution which is entitled smart energy hub (SEH) that models a multi-carrier energy system in a SG. SEH solutions allow homeowners to manage their energy consumption to reduce their electricity and gas bill. We...
Probabilistic energy flow analysis of multi-carrier energy system in the presence of energy DR programs
, Article 2019 Smart Gird Conference, SGC 2019, 18 December 2019 through 19 December 2019 ; 2019 ; 9781728158945 (ISBN) ; Fotuhi Firuzabad, M ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2019
Abstract
In recent years, a great deal of attention has been paid to multi-energy systems that improve energy efficiency and reliability. In this respect, this paper examines the issue of energy flow of these systems in a probabilistic context in the presence of energy responsive programs. Responsive energy programs are provided by system operator of multi-carrier energy to manage these networks where energy customers can participate in it. The probabilistic method used is 2m + 1 point estimation method, which has high speed and high accuracy. The presented numerical results show the impact of each responsive energy program on the cost of operating a multi-carrier system. © 2019 IEEE
Flexibility provision of residential energy hubs with demand response applications
, Article IET Generation, Transmission and Distribution ; Volume 16, Issue 8 , 2022 , Pages 1668-1679 ; 17518687 (ISSN) ; Moeini Aghtaie, M ; Hadi, M. B ; Sharif University of Technology
John Wiley and Sons Inc
2022
Abstract
Smart grids help local distribution companies (LDCs) facilitate the communication between grid operators and residential prosumers. While the prosumers are striving to optimize their daily load profile by home energy management systems (HEMSs) deployment, the LDCs attempt to enhance the operation of the grid in an efficient way and decrease network losses. This paper attempts to develop a new bi-level probabilistic optimization framework wherein an HEMS optimizes its respective daily load profile, and determines its flexibility provision, which is communicated to an LDC. In the proposed framework, a decentralized approach is used to achieve the flexibility product, which is the modulation of...
Sizing and performance analysis of standalone hybrid photovoltaic/battery/hydrogen storage technology power generation systems based on the energy hub concept
, Article International Journal of Green Energy ; Volume 14, Issue 2 , 2017 , Pages 121-134 ; 15435075 (ISSN) ; Roshandel, R ; Hamidi, A. A ; Sharif University of Technology
Taylor and Francis Inc
2017
Abstract
In this study, the optimal sizing and performance analysis of a standalone integrated solar power system equipped with different storage scenarios to supply the power demand of a household is presented. One of the main purposes when applying solar energy resource is to face the increasing environmental pollutions resulting from fossil fuel based electricity sector. To this end, and to compare and examine two energy storage technologies (battery and hydrogen storage technology), three storage scenarios including battery only, hydrogen storage technology only and hybrid storage options are evaluated. An optimization framework based on Energy Hub concept is used to determine the optimum sizes...
Home Energy Management in Multi-carrier Energy Environment and Investigating Its Impacts on Electrical Distribution System
, Ph.D. Dissertation Sharif University of Technology ; Fotuhi Firouzabad, Mahmud (Supervisor) ; Zareipour, Hamid Reza (Co-Advisor)
Abstract
Increasing demand, rising energy costs, and environmental concerns are some of the main challenges faced by the energy industry in upcoming years. With such a diverse set of issues, it is important to take a holistic approach to addressing these concerns and therefore transitioning to a smarter grid. Demand response (DR) has recently been introduced as a promising solution to these issues in the smart grid era. Since residential demand is a significant portion of the total system load, residential customers play critical roles in a proper implementation of DR programs. The main obstacle in broad implementation of residential DR is the low participation of customers in these programs. Lack of...
Multi-Energy Hub System Planning Integrated with Natural Gas and Electricity Networks
, M.Sc. Thesis Sharif University of Technology ; Rajabi-Ghahnavieh, Abbas (Supervisor) ; Fotuhi-Forizabad, Mahmoud (Co-Supervisor)
Abstract
Traditionally, different energy carriers are operated and planned independently. In recent years, with the growth of technology, communication has increased between different energy carrier-systems, in particular within electricity and natural gas networks. The attention to the links between various energy carriers has led to the formation of a new concept called the Energy Hub (EH). In this research, the problem of capacity development planning for gas power plant, CHP and boiler has been studied in a specified time horizon for several energy hubs, so as to meet the demand for electrical and thermal energy. It is worthy to note that the development of electricity and natural gas...
Peer-to-Peer Energy Sharing Optmization Among Smart Energy Hubs in an Integrated Heat-Electricity Network
, M.Sc. Thesis Sharif University of Technology ; Ranjbar, Ali Mohammad (Supervisor)
Abstract
With deployment of distributed generation such as photovoltaic (PV) and active prosumers along with demand response (DR) ability, new fields are being created for energy markets and they are moving towards a consumer-centric way. Peer-to-Peer (P2P) network is one of the top research focuses which many studies have been conducted recently. The P2P network is based on multi bilateral agreements between Prosumers that help each other to manage and balance the supply and demand of energy between each other. In this thesis, two important structures of P2P network, which are called community-based and fully-decentrilized, respectively based on MILP (mixed integer linear programing) and ADMM...
Modeling and optimization of a network of energy hubs to improve economic and emission considerations
, Article Energy ; Volume 93 , December , 2015 , Pages 2546-2558 ; 03605442 (ISSN) ; Elkamel, A ; Fowler, M ; Sattari, S ; Roshandel, R ; Hajimiragha, A ; Walker, S ; Entchev, E ; Sharif University of Technology
Elsevier Ltd
2015
Abstract
Energy hubs that incorporate a variety of energy generation and energy transformation technologies can be used to provide the energy storage needed to enable the efficient operation of a ‘smart energy network’. When these hubs are combined as a network and allowed to exchange energy, they create efficiency advantages in both financial and environmental performance. Further, the interconnectedness of the energy network design provides an added layer of reliability. In this paper, a complex network of energy hubs is modeled and optimized under different scenarios to examine both the financial viability and potential reduction of greenhouse gas emissions. Two case studies consisting of two and...
Integrated demand side management game in smart energy hubs
, Article IEEE Transactions on Smart Grid ; Volume 6, Issue 2 , 2015 , Pages 675-683 ; 19493053 (ISSN) ; Rayati, M ; Bahrami, S ; Ranjbar, A. M ; Sharif University of Technology
Abstract
The presence of energy hubs and the advancement in smart grid technologies have motivated system planners to deploy intelligent multicarrier energy systems entitled "smart energy hub" (S.E. Hub). In this paper, we model S.E. Hub, and propose a modern energy management technique in electricity and natural gas networks based on integrated demand side management (IDSM). In conventional studies, energy consumption is optimized from the perspective of each individual user without considering the interactions with each other. Here, the interaction among S.E. Hubs in IDSM program is formulated as a noncooperative game. The existence and uniqueness of a pure strategy Nash equilibrium (NE) is proved....
A cloud computing framework on demand side management game in smart energy hubs
, Article International Journal of Electrical Power and Energy Systems ; Volume 64 , January , 2015 , Pages 1007-1016 ; 01420615 (ISSN) ; Rayati, M ; Bahrami, S ; Ranjbar, A. M ; Sattari, S ; Sharif University of Technology
Elsevier Ltd
2015
Abstract
The presence of energy hubs in the future vision of energy networks creates an opportunity for electrical engineers to move toward more efficient energy systems. At the same time, it is envisioned that smart grid can cover the natural gas network in the near future. This paper modifies the classic Energy Hub model to present an upgraded model in the smart environment entitling "Smart Energy Hub". Supporting real time, two-way communication between utility companies and smart energy hubs, and allowing intelligent infrastructures at both ends to manage power consumption necessitates large-scale real-time computing capabilities to handle the communication and the storage of huge transferable...
Energy Hub optimal sizing in the smart grid; Machine learning approach
, Article 2015 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2015, 18 February 2015 through 20 February 2015 ; Feb , 2015 ; 9781479917853 (ISBN) ; Rayati, M ; Ranjbar, A. M ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2015
Abstract
The interests in 'Energy Hub' (EH) and 'Smart Grid' (SG) concepts have been increasing, in recent years. The synergy effect of the coupling between electricity and natural gas grids and utilizing intelligent technologies for communicating, may change energy management in the future. A new solution entitling 'Smart Energy Hub' (S. E. Hub) that models a multi-carrier energy system in a SG environment studied in this paper. Moreover, the optimal size of CHP, auxiliary boiler, absorption chiller, and also transformer unit as main elements of a S. E. Hub is determined. Authors proposed a comprehensive cost and benefit analysis to optimize these elements and apply Reinforcement Learning (RL)...
Demand side management in a group of Smart Energy Hubs as price anticipators; The game theoretical approach
, Article IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2015, 18 February 2015 through 20 February 2015 ; 2015 ; 9781479917853 (ISBN) ; Rayati, M ; Bahrami, S ; Ranjbar, A. M ; Sharif University of Technology
Abstract
In recent years, there have been significant developments of applications related to 'Energy Hub' and 'Smart Grid' concepts. Synergy effect of the coupling between electricity and natural gas infrastructures, and approaching energy systems to the smart grid environment leads us to introduce a new solution. This solution is entitled 'Smart Energy Hub' (S. E. Hub). Simply stated, the S. E. Hub models a multicarrier energy system in a smart grid environment. The evolution of the smart grid heavily relies on the utilization and the integration of modern information technologies. Therefore, we suggest that the information technology industry should be involved to facilitate the information...
Applying reinforcement learning method to optimize an Energy Hub operation in the smart grid
, Article IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2015, 18 February through 20 February 2015 ; 2015 ; 9781479917853 (ISBN) ; Sheikhi, A ; Ranjbar, A. M ; Sharif University of Technology
Abstract
New days, the concepts of 'Smart Grid' and 'Energy Hub' have been introduced to improve the operation of the energy systems. This paper introduces a new conception entitling Smart Energy Hub (S. E. Hub), as a multi-carrier energy system in a smart grid environment. To show the application of this novel idea, we present a residential S. E. Hub which employs Reinforcement Learning (RL) method for finding a near optimal solution. The simulation results show that by applying the S. E. Hub model and then using the proposed method for a residential customer, running cost is reduced substantially. While, comparing with the classical ones, the RL method does not require any data about the...
A scenario-based optimization of smart energy hub operation in a stochastic environment using conditional-value-at-risk
, Article Sustainable Cities and Society ; Volume 39 , 2018 , Pages 309-316 ; 22106707 (ISSN) ; Rayati, M ; Sheikhi, A ; Ranjbar, A. M ; Sharif University of Technology
Elsevier Ltd
2018
Abstract
Besides increasing the installation of distributed generation plants, investigation on multi-carrier energy systems leads recent studies to focus on several aspects of Smart Energy Hub (S. E. Hub) systems. An S. E. Hub incorporates several modules which calculation of optimal size and operation of each have already attracted a great deal of research. Uncertainty in the modeling of these modules is an imperative factor that was not paid attention in S. E. Hub models properly. To build up a more precise framework for S. E. Hubs, here we present a stochastic model for real time electricity and natural-gas prices and electricity demands. In this paper, an S. E. Hub operates in order to minimize...
Retail market equilibrium in multicarrier energy systems: A game theoretical approach
, Article IEEE Systems Journal ; 2018 ; 19328184 (ISSN) ; Sheikhi, A ; Rayiati, M ; Soleymani, S ; Ranjbar, A. M ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2018
Abstract
Multicarrier energy systems have provided the opportunity for users who are experiencing only must-run loads to participate in demand response programs by using self-generation units. In this paper, a bilevel game between so-called energy retailers and consumers with firm loads (as subsystems) is formulated in a multicarrier energy system. In the first level of this game, energy retailers offer selling prices for different energy carriers to maximize their profit. Consequently, consumers react to the offered prices by managing their purchasing power from the retail market to minimize their energy bill in the second level. The proposed approach leads to a mixed integer nonlinear programming...
Retail market equilibrium in multicarrier energy systems: A game theoretical approach
, Article IEEE Systems Journal ; Volume 13, Issue 1 , 2019 , Pages 738-747 ; 19328184 (ISSN) ; Sheikhi, A ; Rayati, M ; Soleymani, S ; Ranjbar, A. M ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2019
Abstract
Multicarrier energy systems have provided the opportunity for users who are experiencing only must-run loads to participate in demand response programs by using self-generation units. In this paper, a bilevel game between so-called energy retailers and consumers with firm loads (as subsystems) is formulated in a multicarrier energy system. In the first level of this game, energy retailers offer selling prices for different energy carriers to maximize their profit. Consequently, consumers react to the offered prices by managing their purchasing power from the retail market to minimize their energy bill in the second level. The proposed approach leads to a mixed integer nonlinear programming...
Two-level distributed demand-side management using the smart energy hub concept
, Article 10th International Conference on Applied Energy, ICAE 2018, 22 August 2018 through 25 August 2018 ; Volume 158 , 2019 , Pages 3052-3063 ; 18766102 (ISSN) ; Sheykhha, S ; Azimi, M. R ; Madlener, R ; Yang H. X ; Li H ; Chen X ; Yan J ; Sharif University of Technology
Elsevier Ltd
2019
Abstract
Demand-side management (DSM) and the integration of the energy hub concept as a main part of future energy networks play an essential role in the process of improving the efficiency and reliability of the power grids. In this paper, we consider a smart multi-carrier energy system in which users are equipped with energy storage and conversion devices (i.e., an energy hub). Users intend to reduce their energy payment by shifting energy consumption to off-peak hours and switching between different energy carriers. This system enables both users with shiftable loads and must-run loads to be active in a DSM program. We apply game theory to formulate the energy consumption and conversion for a...