A flexible-reliable operation optimization model of the networked energy hubs with distributed generations, energy storage systems and demand response

Dini, Anoosh; Hassankashi, Alireza; Pirouzi, Sasan; Lehtonen, Matti; Arandian, Behdad; Baziar, Ali Asghar

doi:10.1016/j.energy.2021.121923

Cited by 101 publications

(58 citation statements)

References 40 publications

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“…e linear format of the objective function in ( 1) is expressed in (29), where it is followed by the first linearization method. Also, constraint (68) obtains according to this linearization approach.…”

Section: Electrical Power Flowmentioning

confidence: 99%

“…e paper uses a hybrid of Ant Lion Optimizer and Krill Herd Optimization algorithm so that optimal solutions are found. A new optimization approach is incorporated in [29] to model the flexible-reliable operation (FRO) of energy hubs (EHs) in electricity, natural gas, and district heating networks. In an attempt to provide a flexible EH, the paper also adopts storage and incentive-based demand response program (IDRP).…”

Section: Introductionmentioning

confidence: 99%

“…us, they can increase their financial benefit by engaging in ancillary services markets like the reserve market, which has rarely been studied. Also, in most research such as [14][15][16][17][18][19][20][21][22][25][26][27][28][29], the operation model of hubs has been considered, while considering the model of the energy market can obtain a suitable financial benefit for it, and this is also the case that has rarely been addressed [23,24]. (iii) e operation model of the energy hub in different energy networks such as NLP and MINLP is nonconvex.…”

Section: Introductionmentioning

confidence: 99%

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Participation of Energy Storage-Based Flexible Hubs in Day-Ahead Reserve Regulation and Energy Markets Based on a Coordinated Energy Management Strategy

Kazemi

Salehpour

Shahbaazy

et al. 2022

International Transactions on Electrical Energy Systems

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In order to increase energy efficiency, the energy hub is considered as a form of aggregator and coordinator of various resources and storage. With the optimal performance of resources and storage generators based on a proper energy management system, it is expected that hubs can gain financial benefits from energy markets and ancillary services. So, the paper presents the participation of networked energy hubs in day-ahead (DA) reserve regulation and energy markets, where the hub operator incorporates a coordinated energy management (CEM) strategy to manage power sources and energy storage devices within the hub. Hence, this problem maximizes the total profit of hubs in the DA energy and up and down reserve markets. Also, the problem is constrained by optimal power flow (OPF) constraints in gas, electricity, and thermal networks, reserve limits, and hub constraints, including the model of the combined heat and power (CHP), renewable energy source (RES), electrical/thermal storage, parking lots of electric vehicles (EVs), and boiler. Following that, a linear format is obtained for the nonlinear equation using traditional linearization methods so that an optimal solution is found in less time considering less computational error. Eventually, a standard case system is used to test the strategy, and thus, the capabilities of the approach are investigated. The obtained findings validate the potential of the proposed design in enhancing the economic situation of power sources and storage in hub form, which can enhance operation indices by optimal management of the hub so that the energy management of resources and storage in the form of a hub based on CEM compared to their independent management plan has been able to increase the profit of these elements in energy and up and down reserve markets by about 17%, 28%, and 15%, respectively. Regarding technical indices of energy networks, the proposed scheme by creating low energy losses in the gas network and providing pressure drop, overvoltage, and overtemperature within their permissible limits succeeded in reducing the energy losses in electricity and heat networks by about 83% and 38%, respectively, compared to power flow studies. Also, in these conditions, it has reduced the maximum voltage and temperature drop by 45% and 39%, respectively.

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Section: Electrical Power Flowmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Participation of Energy Storage-Based Flexible Hubs in Day-Ahead Reserve Regulation and Energy Markets Based on a Coordinated Energy Management Strategy

Kazemi

Salehpour

Shahbaazy

et al. 2022

International Transactions on Electrical Energy Systems

Self Cite

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“…e up and down reserve requirements in the transmission network at hour t are satisfied by constraints (32) and (33), respectively [21]. Accordingly, these reserve powers in this paper will be provided by generation units and VPP.…”

Section: Ncuc-based Market-clearing Model (Lower Level)mentioning

confidence: 99%

“…Accordingly, these reserve powers in this paper will be provided by generation units and VPP. Finally, λ E , λ U , and λ D are dual variables of equations ( 16), (32), and (33), where λ E is a free variable and λ U and λ D are positive variables.…”

Section: Ncuc-based Market-clearing Model (Lower Level)mentioning

confidence: 99%

A Partnership of Virtual Power Plant in Day-Ahead Energy and Reserve Markets Based on Linearized AC Network-Constrained Unit Commitment Model

Haghighi

Bahmani-Firouzi

Nafar

2022

International Transactions on Electrical Energy Systems

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This paper presents coordinated energy management as a virtual power plant (VPP) framework with a wind farm, a storage system, and a demand response program in the transmission network according to the cooperation of VPPs in day-ahead energy and reserve markets. This strategy is based on a bilevel method, where it maximizes the expected VPP revenue in the proposed markets subject to constraints of renewable and flexible sources and the VPP reserve model in the upper-level problem. Also, a market-clearing model based on network-constrained unit commitment (NCUC) is explained in the lower-level problem so that it minimizes the expected operating cost of generation units constrained to a linearized AC-NCUC model. The scenario-based stochastic programming (SBSP) models the uncertainties of loads and WF power generation. Then, the master/slave decomposition method solves the bilevel problem to achieve an optimal solution at a low computational time. Also, since the lower-level problem is mixed-integer linear programming, the Benders decomposition algorithm is adopted to solve this problem. Finally, the suggested approach is implemented on IEEE test networks in GAMS software, and numerical results confirm the efficiency of the coordinated VPP management in DA energy and reserve markets and its capabilities in improving network operation.

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Overview of the Optimal Operation of Heat and Electricity Incorporated Networks

Dorahaki

Mobasheri

Zadsar

et al. 2022

Coordinated Operation and Planning of Modern Heat and Electricity Incorporated Networks

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A flexible-reliable operation optimization model of the networked energy hubs with distributed generations, energy storage systems and demand response

Cited by 101 publications

References 40 publications

Participation of Energy Storage-Based Flexible Hubs in Day-Ahead Reserve Regulation and Energy Markets Based on a Coordinated Energy Management Strategy

Participation of Energy Storage-Based Flexible Hubs in Day-Ahead Reserve Regulation and Energy Markets Based on a Coordinated Energy Management Strategy

A Partnership of Virtual Power Plant in Day-Ahead Energy and Reserve Markets Based on Linearized AC Network-Constrained Unit Commitment Model

Overview of the Optimal Operation of Heat and Electricity Incorporated Networks

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