Distributed chance-constrained based total energy supply capability evaluation method for integrated power and natural gas system

Wu, Zhi; Sun, Qirun; Lu, Yuping; Gu, Wei; Liu, Pengxiang; Dai, Renjie; Wei, Siming

doi:10.1016/j.ijepes.2022.108193

Cited by 11 publications

(4 citation statements)

References 35 publications

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“…2) PDS constraints: PDS operation constraints are formulated based on the DistFlow model [23]. Active and reactive power balance equations are stated as in ( 14) and ( 15), respectively.…”

Section: B Constraintsmentioning

confidence: 99%

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Multi-stage Co-planning Model for Power Distribution System and Hydrogen Energy System Under Uncertainties

Sun

et al. 2023

Journal of Modern Power Systems and Clean Energy

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The increased deployment of electricity-based hydrogen production strengthens the coupling of power distribution system (PDS) and hydrogen energy system (HES). Considering that power to hydrogen (PtH) has great potential to facilitate the usage of renewable energy sources (RESs), the coordination of PDS and HES is important for planning purposes under high RES penetration. To this end, this paper proposes a multi-stage co-planning model for the PDS and HES. For the PDS, investment decisions on network assets and RES are optimized to supply the growing electric load and PtHs. For the HES, capacities of PtHs and hydrogen storages (HSs) are optimally determined to satisfy hydrogen load considering the hydrogen production, tube trailer transportation, and storage constraints. The overall planning problem is formulated as a multistage stochastic optimization model, in which the investment decisions are sequentially made as the uncertainties of electric and hydrogen load growth states are revealed gradually over periods. Case studies validate that the proposed co-planning model can reduce the total planning cost, promote RES consumption, and obtain more flexible decisions under long-term load growth uncertainties.

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“…2) PDS constraints: PDS operation constraints are formulated based on the DistFlow model [23]. Active and reactive power balance equations are stated as in ( 14) and ( 15), respectively.…”

Section: B Constraintsmentioning

confidence: 99%

“…Constraints ( 21) and ( 22) specify the limits for nodal voltage and the current through power lines, respectively. Boundaries for RES active outputs and curtailed power are constrained in (23) and (24). Reactive power of substations, PVs, and WTs is restricted in (25).…”

Section: B Constraintsmentioning

confidence: 99%

Multi-stage Co-planning Model for Power Distribution System and Hydrogen Energy System Under Uncertainties

Sun

et al. 2023

Journal of Modern Power Systems and Clean Energy

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“…The natural gas-distributed energy system can turn gas into other useable products, such as heating, cooling, and electrical power. Besides, the electrical power can be used on-site or sold back to an electricity grid [24][25][26][27][28]. Li et al [29] studied the feasibility and flexibility of the distributed energy system under different grid connection modes, namely FEL (following the electric load), FHL (following the hybrid electric-thermal load), and FML (following the maximum electric-thermal load).…”

Section: Introductionmentioning

confidence: 99%

Research on the Integration of a Natural Gas-Distributed Energy System into the Oilfield Facility in China

2023

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The oilfield facility provides a sufficient supply of self-produced natural gas and has an obvious price advantage. However, China’s oilfield facilities are supplied with electricity and heat from the external grid and natural gas boilers separately. Therefore, in this study, a natural gas distributed energy saving system is built in the oilfield facility, which can supply electricity and heating simultaneously. An oilfield facility in Changchun, China, is used as the case study in this research to design a natural gas-distributed energy system. The operational carbon emissions and the operating cost are used as evaluation criteria. Three energy supply methods of the natural gas-distributed energy system are studied. Meanwhile, the impacts of China’s distributed energy policy are also quantified to determine the capacity of the power generation units. The results reveal that under the optimized following the heating load method (FHL-restricted), where the self-electricity consumption ratio of the gas engine is kept at 50%, the natural gas-distributed energy systems can meet policy requirements while achieving optimal carbon emission reductions and minimizing operating costs. The newly built system can simultaneously achieve the goals of energy saving, carbon emission reduction, and energy cost mitigation.

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“…Power-to-gas (P2G) can convert power system energy into natural gas, indirectly achieving large-scale and long-term storage of electrical energy, expanding the idea of renewable energy consumption. P2G can solve the problem of volatility when generating electricity from renewable energy sources, avoid carbon emissions from traditional coal-fired and other power generation methods, and provide a viable solution for the transition to a future sustainable low-carbon energy system [1]. However, P2G still has some drawbacks, such as its economic and environmental costs due to energy conversion losses, gas handling and storage, and carbon emissions [2].…”

Section: Introductionmentioning

confidence: 99%

Influencing Factors and Their Influencing Mechanisms on Integrated Power and Gas System Coupling

Pang,

Zhang,

et al. 2023

Sustainability

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In order to study the deep mechanism of integrated power–gas system (IPGS) coupling, the influencing factors of IPGS coupling are investigated using the Decision Making Test and Evaluation Test–Interpretative Structural Modeling–Method-Cross-Impact Matrix Multiplication Method (DEMATEL-ISM-MACMIC). By means of a literature review and field research, on the basis of summarizing and forming an index system of IPGS coupling influence factors, this study establishes an IPGS coupling influence factor model based on the DEMATEL-ISM-MACMIC method, analyzes the attribute characteristics of each factor influencing IPGS coupling and extracts the key elements, explores the logical relationships among the factors, and finally, puts forward relevant suggestions, in order to provide theoretical and methodological support for this field of research. This study shows that the economic base, resource endowment, and economic and social development of the country are the most important factors. The study shows that the bottom-level factors, such as economic base and resource endowment; the middle-level factors, such as energy structure and market mechanism; and the surface-level factors, such as technology level and market price, are important factors influencing IPGS coupling, and the focus should be on the above factors.

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Distributed chance-constrained based total energy supply capability evaluation method for integrated power and natural gas system

Cited by 11 publications

References 35 publications

Multi-stage Co-planning Model for Power Distribution System and Hydrogen Energy System Under Uncertainties

Multi-stage Co-planning Model for Power Distribution System and Hydrogen Energy System Under Uncertainties

Research on the Integration of a Natural Gas-Distributed Energy System into the Oilfield Facility in China

Influencing Factors and Their Influencing Mechanisms on Integrated Power and Gas System Coupling

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