Pricing Mechanism and Trading Strategy Optimization for Microgrid Cluster Based on CVaR Theory

Chen, Wengang; Zhang, Ying; Chen, Jiajia; Xu, Bingyin

doi:10.3390/electronics12204327

Cited by 4 publications

(1 citation statement)

References 30 publications

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“…Ref. [ 8 ] proposed a two-stage trading model for microgrid clusters based on the price trading mechanism and conditional value-at-risk (CVaR) theory, introducing the CVaR theory to quantify the potential risk of trading defaults and reduce the operating costs of microgrid clusters. Ref.…”

Section: Introductionmentioning

confidence: 99%

Optimal power–heat–carbon scheduling strategy for interconnected heterogeneous multi-microgrid considering hydrogen fuel cell vehicles

Li,

Shao,

Huang

et al. 2024

PLoS ONE

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The scale of multi-microgrid (MMG) and hydrogen fuel cell vehicles (HFCVs) is increasing dramatically with the increase in the new energy penetration ratio, and developing an integrated energy system containing a multi-microgrid for hydrogen fuel vehicles brings great challenges to power grid operation. Focusing on the difficulties of the access of multiple microgrids for the low-carbon and economic operation of the system, this paper proposes an optimal interconnected heterogeneous multi-microgrid power–heat–carbon scheduling strategy for hydrogen-fueled vehicles. Firstly, an HFCV model is established, and then an optimal scheduling model is constructed for the cooperative trading of power–heat–carbon in a multi-microgrid, on the basis of which the low-carbon economic operation of the multi-microgrid is realized. The results of the case study show that the scheduling strategy in this paper reduces carbon emissions by about 7.12% and costs by about 3.41% compared with the independent operation of the multi-microgrid. The degrees of interaction of each multi-microgrid are also analyzed under different HFCV penetration rates.

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Section: Introductionmentioning

confidence: 99%

Optimal power–heat–carbon scheduling strategy for interconnected heterogeneous multi-microgrid considering hydrogen fuel cell vehicles

Li,

Shao,

Huang

et al. 2024

PLoS ONE

View full text Add to dashboard Cite

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Research on Distributed Optimization and Dispatch Strategy for Grid-Connected Microgrid Cluster Based on Alternating Direction Method of Multipliers

Wan,

Shi

2024

2024 3rd International Conference on Energy, Power and Electrical Technology (ICEPET)

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Optimizing Economic Dispatch for Microgrid Clusters Using Improved Grey Wolf Optimization

Wang,

Ren

et al. 2024

Electronics

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With the rapid development of renewable energy generation in recent years, microgrid technology has increasingly emerged as an effective means to facilitate the integration of renewable energy. To efficiently achieve optimal scheduling for microgrid cluster (MGC) systems while guaranteeing the safe and stable operation of a power grid, this study, drawing on actual electricity-consumption patterns and renewable energy generation in low-latitude coastal areas, proposes an integrated multi-objective coordinated optimization strategy. The objective function includes not only operational costs, environmental costs, and energy storage losses but also introduces penalty terms to comprehensively reflect the operation of the MGC system. To further enhance the efficiency of solving the economic dispatch model, this study combines chaotic mapping and dynamic opposition-based learning with the traditional Grey Wolf Optimization (GWO) algorithm, using the improved GWO (CDGWO) algorithm for optimization. Comparative experiments comprehensively validate the significant advantages of the proposed optimization algorithm in terms of economic benefits and scheduling efficiency. The results indicate that the proposed scheduling strategy, objective model, and solution algorithm can efficiently and effectively achieve multi-objective coordinated optimization scheduling for MGC systems, significantly enhancing the overall economic benefits of the MGC while ensuring a reliable power supply.

show abstract

Pricing Mechanism and Trading Strategy Optimization for Microgrid Cluster Based on CVaR Theory

Cited by 4 publications

References 30 publications

Optimal power–heat–carbon scheduling strategy for interconnected heterogeneous multi-microgrid considering hydrogen fuel cell vehicles

Optimal power–heat–carbon scheduling strategy for interconnected heterogeneous multi-microgrid considering hydrogen fuel cell vehicles

Research on Distributed Optimization and Dispatch Strategy for Grid-Connected Microgrid Cluster Based on Alternating Direction Method of Multipliers

Optimizing Economic Dispatch for Microgrid Clusters Using Improved Grey Wolf Optimization

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