Nash bargaining based collaborative energy management for regional integrated energy systems in uncertain electricity markets

Wang, Yubin; Zheng, Yudian; Yang, Qiang

doi:10.1016/j.energy.2023.126725

Cited by 25 publications

(2 citation statements)

References 39 publications

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“…WPPE is regarded as a set of stochastic variables E = {e b } B b=1 , and the joint PDF of WPPE using VBGMM method is denoted as (16).…”

Section: Data-driven Fitting Methods For Wppementioning

confidence: 99%

“…For example, WPPE in IPGS are assumed to follow Gaussian distribution. The CCSP was used to solve this stochastic programming problem in power systems [14] and micro multi-energy systems [16]. This assumption that the probability distribution of WPPE follows Gaussian distribution is too simple and perfect, and it may result in inaccuracy in probability distribution fitting and solution [17].…”

Section: Introductionmentioning

confidence: 99%

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Data‐driven chance‐constrained dispatch for integrated power and natural gas systems considering wind power prediction errors

Zhao

et al. 2023

IET Generation Trans & Dist

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Stochastic wind power prediction errors hurt the normal operation of integrated power and natural gas systems (IPGS). First, the data-driven stochastic chance-constrained programming method is applied to deal with wind power prediction errors, and its probability distribution is accurately fitted by variational Bayesian Gaussian mixture model with massive historical data. In addition, the data-driven chance constraints of tie-line power and reserve capacity of gas turbine are built. Next, to utilize wind power more reasonably, the operational characteristics and optimal commitment of power-to-hydrogen devices are considered and modelled in proposed strategy to reflect the actual situation of IPGS. Then, the original complicated dispatch problem is converted into a tractable second-order cone programming problem via convex relaxation and quantile-based analytical reformulation techniques. Finally, the effectiveness of the proposed strategy is validated by numerical experiments based on a modified IEEE 33-bus system integrated with a 10-node natural gas system and a micro hydrogen system.

show abstract

“…WPPE is regarded as a set of stochastic variables E = {e b } B b=1 , and the joint PDF of WPPE using VBGMM method is denoted as (16).…”

Section: Data-driven Fitting Methods For Wppementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Data‐driven chance‐constrained dispatch for integrated power and natural gas systems considering wind power prediction errors

Zhao

et al. 2023

IET Generation Trans & Dist

View full text Add to dashboard Cite

show abstract

Energy Sharing Transactions of Wind and Solar Microgrids Considering Network Topology: A Game Analysis Based on Nash Negotiation

Cai,

Xiao,

et al. 2024

J. Electr. Eng. Technol.

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A stochastic hierarchical optimization and revenue allocation approach for multi-regional integrated energy systems based on cooperative games

Han,

Zeng,

Lin

et al. 2023

Applied Energy

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Nash bargaining based collaborative energy management for regional integrated energy systems in uncertain electricity markets

Cited by 25 publications

References 39 publications

Data‐driven chance‐constrained dispatch for integrated power and natural gas systems considering wind power prediction errors

Data‐driven chance‐constrained dispatch for integrated power and natural gas systems considering wind power prediction errors

Energy Sharing Transactions of Wind and Solar Microgrids Considering Network Topology: A Game Analysis Based on Nash Negotiation

A stochastic hierarchical optimization and revenue allocation approach for multi-regional integrated energy systems based on cooperative games

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