Integration of power-to-hydrogen in day-ahead security-constrained unit commitment with high wind penetration

Ban, Mingfei; Yu, Jie; Shahidehpour, Mohammad; Yao, Yiyun

doi:10.1007/s40565-017-0277-0

Cited by 89 publications

(30 citation statements)

References 49 publications

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“…Ban et al conducted a study regarding the integration of wind generation along with energy hubs consisting of electrolyzers and gas-to-power units [212]. The study illustrated the ability of the energy hubs to effectively manage a variable power profile using hydrogen storage technologies.…”

Section: Hydrogen Economymentioning

confidence: 99%

Modeling and Optimization of Energy Hubs: A Comprehensive Review

et al. 2019

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: The concept of energy hubs has grown in prominence as a part of future energy systems, driven by the spread of Distributed Energy Resources (DERs) and the inception of the smart grid. This paper systematically reviews 200 articles about energy hubs, published from 2007 to 2017, and summarizes them based on their modeling approach, planning and operation, economic and environmental considerations, and energy hub applications. The common applications of energy hubs are considered, such as distributed energy resources, the consideration of Plug-in Hybrid Electric Vehicles (PHEVs), and the hydrogen economy. This paper examines modeling approaches towards energy hubs, including storage and its network models; it mentions some of the optimization strategies used to tackle the efficient operation and control of energy hubs. The novelty of this work lies in the classification of research papers related to energy hubs, the development of a generic framework for modeling these multiple energy flow carriers with storage and network considerations, and the provision of solution techniques in line with energy hub optimization.

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Section: Hydrogen Economymentioning

confidence: 99%

Modeling and Optimization of Energy Hubs: A Comprehensive Review

et al. 2019

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“…Ið2Þ ¼ 1g. SP 1 and SP 2 are expressed as (18) and (19), respectively. Because the worst contingency has been excluded from the uncertainty set, the secondary worst contingencies that maximize the operation cost can be obtained.…”

Section: Potential Contingencymentioning

confidence: 99%

“…Reference [17] proposed a SCUC formulation that includes dynamic gas constraints. Reference [18] integrated energy hub into a SCUC problem. When dealing with the security-constrained TEP problem, besides existing lines and generators, candidate lines that have been built may also fail.…”

Section: Introductionmentioning

confidence: 99%

A contingency-aware method for N-2 security-constrained transmission expansion planning

Liu

Cheng

2019

J. Mod. Power Syst. Clean Energy

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In this paper, a novel contingency-aware method for N-2 security-constrained transmission expansion planning is proposed. To ensure that the transmission construction plan satisfies the N-2 security criterion, the proposed method takes advantage of the adjustable robust optimization (ARO) framework and upgrades it. We construct a discrete uncertainty set in which component failures are treated as uncertain events that are handled as binary variables. In addition to the failure of existing lines and generators, we explicitly model the failure of candidate lines. The proposed model comprises a master problem that makes the transmission construction decision, and a series of subproblems that can detect not only the worst contingency, but also the potential contingencies. Computational studies on the IEEE RTS 24-bus and IEEE 118-bus test systems are carried out to validate the effectiveness of the proposed method. Compared with the deterministic method and ARO method in the literature, the proposed method has higher computational efficiency.

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“…In the future, the RES penetration will be even higher, thus calling for further intensified and more flexible accommodation mechanisms. Fortunately, with the development of the MES, more and more new cross energy sector ME applications come into being, such as multi-generation application, such as combined cooling, heat, and power (CCHP) plant, power-to-Hydrogen and gas-to-power (P2H/G2P) plant, and electric vehicle (EV), which not only bring advanced new functionalities to the MES, but demonstrate promising potentials in dealing with the poor utilization problem of the RES at the same time [6][7][8][9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

“…Reference [15] assesses the potential for P2H to increase wind power dispatchability, and reference [17] explores how to integrate P2H into power systems for load balancing. In [10,18], the potential of the energy hub equipped with a P2H facility (electrolyzer) and a gas-to-power (G2P) facility (hydrogen gas turbine) is illustrated in accommodating the volatility introduced by a large wind power penetration. With CCHP plants and P2H/G2P plants deployed, the excess of RES outputs can be stored in hydrogen, or/and fuel the electricity-driven devices to supply the ME demands; and when there is a lack of RES outputs, the electricity stored in hydrogen can be released through G2P process, and ME demands could mainly be produced by the fuel-dependent devices.…”

Section: Introductionmentioning

confidence: 99%

An Optimal Energy Management Method for the Multi-Energy System with Various Multi-Energy Applications

Wang

Zhang

Zheng³

et al. 2018

Applied Sciences

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As the development of the multi-energy system (MES), various ME applications are deployed. ME applications not only bring advanced functionalities to the MES, but also show great potentials in promoting the operation performance of the MES, especially improving the accommodation of renewable energy sources (RES). However, the realization of these potentials largely relies on the energy management, which shall facilitate the effective function of each ME application and the coordinated collaboration of all the ME applications. Without a comprehensive energy management methodology, ME applications may mutually interfere, which not only hinder the RES utilization, but also may harm the MES operation performance. In this premise, this paper integrates the energy management model of the combined cooling, heat and power plants, power-to-hydrogen/gas-to-power plants, and demand side management model of the EV charging loads into the energy management model of the MES, and proposes an comprehensive optimal day-ahead energy management framework to simultaneously improve the profit, RES utilization rate, and energy saving performance of the MES. To address the proposed optimization model, Elitist Non-dominated Sorting Genetic algorithm II algorithm is employed to heuristically find the Pareto-optimal results. Finally, case studies prove the effectiveness of the proposed methodology.

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Integration of power-to-hydrogen in day-ahead security-constrained unit commitment with high wind penetration

Cited by 89 publications

References 49 publications

Modeling and Optimization of Energy Hubs: A Comprehensive Review

Modeling and Optimization of Energy Hubs: A Comprehensive Review

A contingency-aware method for N-2 security-constrained transmission expansion planning

An Optimal Energy Management Method for the Multi-Energy System with Various Multi-Energy Applications

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