Optimal Capacity Planning of Power to Hydrogen in Integrated Electricity–Hydrogen–Gas Energy Systems Considering Flexibility and Hydrogen Injection

With increasing penetration of renewable energy, it is important to source adequate system flexibility to maintain security of supply and minimize renewable generation curtailment. Power to hydrogen (P2H) plays an important role in the low-carbon renewable dominated energy systems. By blending green...

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Main Authors: Jinpeng Wang, Pingliang Zeng, Yalou Li, Jia Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-04-01
Series:Frontiers in Energy Research
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2022.845637/full
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author Jinpeng Wang
Jinpeng Wang
Pingliang Zeng
Yalou Li
Jia Liu
author_facet Jinpeng Wang
Jinpeng Wang
Pingliang Zeng
Yalou Li
Jia Liu
author_sort Jinpeng Wang
collection DOAJ
description With increasing penetration of renewable energy, it is important to source adequate system flexibility to maintain security of supply and minimize renewable generation curtailment. Power to hydrogen (P2H) plays an important role in the low-carbon renewable dominated energy systems. By blending green hydrogen produced from renewable power into the natural gas pipelines, it is possible to help integrate large-scale intermittent generation and smooth the variability of renewable power output through the interconnection of the natural gas network, hydrogen energy network, and electric network. A two-stage stochastic mixed-integer nonlinear planning framework for P2H sizing and siting is proposed in this paper, considering system flexibility requirements. The problem is then reduced to a mixed-integer second-order cone (MISOC) model through convex transformation techniques in order to reduce the computation burden. Then, a distributed algorithm based on Bender’s decomposition is applied to obtain the optimal solution. A modified hybrid IEEE 33-node and Gas 20-node system is then used for simulation tests. The results showed that investment of P2H can significantly reduce the total capital and operational costs with lower renewable generation curtailment and electricity demand shedding. Numerical tests demonstrated to demonstrate the validity of the proposed MISOC model.
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spelling doaj.art-dc8da119fd1a477aa2156ec94211ccb62022-12-22T03:13:43ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2022-04-011010.3389/fenrg.2022.845637845637Optimal Capacity Planning of Power to Hydrogen in Integrated Electricity–Hydrogen–Gas Energy Systems Considering Flexibility and Hydrogen InjectionJinpeng Wang0Jinpeng Wang1Pingliang Zeng2Yalou Li3Jia Liu4Department of Automation, Hangzhou Dianzi University, Hangzhou, ChinaSchool of Electrical and Control Engineering, Henan University of Urban Construction, Pingdingshan, ChinaDepartment of Automation, Hangzhou Dianzi University, Hangzhou, ChinaElectric Power Research Institute, Beijing, ChinaDepartment of Automation, Hangzhou Dianzi University, Hangzhou, ChinaWith increasing penetration of renewable energy, it is important to source adequate system flexibility to maintain security of supply and minimize renewable generation curtailment. Power to hydrogen (P2H) plays an important role in the low-carbon renewable dominated energy systems. By blending green hydrogen produced from renewable power into the natural gas pipelines, it is possible to help integrate large-scale intermittent generation and smooth the variability of renewable power output through the interconnection of the natural gas network, hydrogen energy network, and electric network. A two-stage stochastic mixed-integer nonlinear planning framework for P2H sizing and siting is proposed in this paper, considering system flexibility requirements. The problem is then reduced to a mixed-integer second-order cone (MISOC) model through convex transformation techniques in order to reduce the computation burden. Then, a distributed algorithm based on Bender’s decomposition is applied to obtain the optimal solution. A modified hybrid IEEE 33-node and Gas 20-node system is then used for simulation tests. The results showed that investment of P2H can significantly reduce the total capital and operational costs with lower renewable generation curtailment and electricity demand shedding. Numerical tests demonstrated to demonstrate the validity of the proposed MISOC model.https://www.frontiersin.org/articles/10.3389/fenrg.2022.845637/fullpower to hydrogen (P2H)hydrogen injectionssystem flexibilitylow carbonbenders decomposition
spellingShingle Jinpeng Wang
Jinpeng Wang
Pingliang Zeng
Yalou Li
Jia Liu
Optimal Capacity Planning of Power to Hydrogen in Integrated Electricity–Hydrogen–Gas Energy Systems Considering Flexibility and Hydrogen Injection
Frontiers in Energy Research
power to hydrogen (P2H)
hydrogen injections
system flexibility
low carbon
benders decomposition
title Optimal Capacity Planning of Power to Hydrogen in Integrated Electricity–Hydrogen–Gas Energy Systems Considering Flexibility and Hydrogen Injection
title_full Optimal Capacity Planning of Power to Hydrogen in Integrated Electricity–Hydrogen–Gas Energy Systems Considering Flexibility and Hydrogen Injection
title_fullStr Optimal Capacity Planning of Power to Hydrogen in Integrated Electricity–Hydrogen–Gas Energy Systems Considering Flexibility and Hydrogen Injection
title_full_unstemmed Optimal Capacity Planning of Power to Hydrogen in Integrated Electricity–Hydrogen–Gas Energy Systems Considering Flexibility and Hydrogen Injection
title_short Optimal Capacity Planning of Power to Hydrogen in Integrated Electricity–Hydrogen–Gas Energy Systems Considering Flexibility and Hydrogen Injection
title_sort optimal capacity planning of power to hydrogen in integrated electricity hydrogen gas energy systems considering flexibility and hydrogen injection
topic power to hydrogen (P2H)
hydrogen injections
system flexibility
low carbon
benders decomposition
url https://www.frontiersin.org/articles/10.3389/fenrg.2022.845637/full
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