Energy Management for a Port Integrated Energy System Based on Distributed Dual Decomposition Mixed Integer Linear Programming

Teng, Fei; Zhang, Qing; Xiao, Geyang; Ban, Ž.; Yuan, Liang; Guan, Yajuan

doi:10.3390/jmse11061137

Cited by 6 publications

(4 citation statements)

References 38 publications

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“…However, this adjustment still fails to meet the thermal load requirements, resulting in a curtailment in thermal load. From 6 a.m. to 2 p.m., considering the inertia of the hot water tank, the medium temperature remains within the permissible range, i.e., T m tan k ≤ T t tan k ≤ T ex tan k , leading to x t Qcut = 0 (t ∈ [6,14]). Then, from 3 p.m. to 9 p.m., the fault remains unresolved, and the thermal load curtailment continues.…”

Section: The Impact Of Thermal Inertia On the Reliability Assessment ...mentioning

confidence: 99%

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Reliability Assessment for Integrated Seaport Energy System Considering Multiple Thermal Inertia

Yang,

Sun,

Liang

et al. 2024

JMSE

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With the rapid development of global trade, a large number of goods and resources are imported and exported via seaports. Multiple thermal loads and renewable energy merge into seaports, making the energy supply and demand structure increasingly complex. The traditional seaport becomes an integrated seaport energy system (ISES). Due to the complicated energy interaction of cooling, heating, electricity, and gas subsystems, the ISES urgently require reliable and secure operation. Hence, this paper proposes a new reliability assessment method for the ISES that considers thermal inertia. Firstly, the operational structure of the ISES is established considering multi-energy coupling relationships. Then, a two-stage optimal load curtailment model is constructed with multiple thermal inertias. In addition, the reliability assessment method for the ISES is proposed based on the sequential Monte Carlo simulation method. Simulations are presented to verify the effectiveness of the proposed method.

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Section: The Impact Of Thermal Inertia On the Reliability Assessment ...mentioning

confidence: 99%

“…However, energy supply reliability severely limits the development of the ISES [6,7]. Compared to traditional microgrids, the ISES exhibits notable disparities in structure and operational mechanisms.…”

Section: Introductionmentioning

confidence: 99%

Reliability Assessment for Integrated Seaport Energy System Considering Multiple Thermal Inertia

Yang,

Sun,

Liang

et al. 2024

JMSE

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“…Linear programming and bi-objective optimization are particularly effective in long-and medium-term forecasts, reducing maximum errors significantly [22]. In Teng's paper [23], a distributed dual decomposition MILP-based energy management strategy for port-integrated energy systems is proposed to ensure reliable seaport operations.…”

Section: Literature Reviewmentioning

confidence: 99%

Game-Theory-Based Design and Analysis of a Peer-to-Peer Energy Exchange System between Multi-Solar-Hydrogen-Battery Storage Electric Vehicle Charging Stations

Duan,

Yuan,

Taylor

et al. 2024

Electronics

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As subsidies for renewable energy are progressively reduced worldwide, electric vehicle charging stations (EVCSs) powered by renewable energy must adopt market-driven approaches to stay competitive. The unpredictable nature of renewable energy production poses major challenges for strategic planning. To tackle the uncertainties stemming from forecast inaccuracies of renewable energy, this study introduces a peer-to-peer (P2P) energy trading strategy based on game theory for solar-hydrogen-battery storage electric vehicle charging stations (SHS-EVCSs). Firstly, the incorporation of prediction errors in renewable energy forecasts within four SHS-EVCSs enhances the resilience and efficiency of energy management. Secondly, employing game theory’s optimization principles, this work presents a day-ahead P2P interactive energy trading model specifically designed for mitigating the variability issues associated with renewable energy sources. Thirdly, the model is converted into a mixed integer linear programming (MILP) problem through dual theory, allowing for resolution via CPLEX optimization techniques. Case study results demonstrate that the method not only increases SHS-EVCS revenue by up to 24.6% through P2P transactions but also helps manage operational and maintenance expenses, contributing to the growth of the renewable energy sector.

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“…Liu [23] proposes a distributed adjustable robust optimal scheduling algorithm to reduce operation costs. According to the above research, various methods, including ADMM [24], the double Newton descent method [25], the gradient descent method [26], and the subgradient descent method [27] can be used to solve the port energy dispatch problem in the disturbed pattern. The complement of the above-distributed algorithms relies on information transmission and distributed computation, which require a large amount of computing resources.…”

Section: Introductionmentioning

confidence: 99%

Distributed Energy Dispatch for Geo-Data Centers Port Microgrid

Qu,

Teng,

et al. 2024

JMSE

Self Cite

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With the development of port automation and artificial intelligence, coordination with multi-geographic data centers (Geo-DCs) has become a viable solution to address the issue of limited port computing resources. This study proposes a distributed energy dispatch method for the port microgrid coordinated with Geo-DCs (Geo-DCPM), aimed at reducing port carbon emissions and operational costs. Consider the single point of failure problem and high construction costs of centralized data centers. Geo-DCs are first introduced to solve the problem of insufficient computing resources in ports. An energy consumption calculation model for Geo-DCs is established, considering the data load delay constraint and the data space transfer constraint caused by specific delay-sensitive loads in the port microgrid. Then, an energy dispatch model (EDM) is constructed for the Geo-DCPM, taking into account carbon capture costs. Moreover, based on mixed-integer linear programming, a distributed algorithm is proposed to solve the EDM problem. Finally, the simulation results verify the effectiveness of the proposed method. Compared with the centralized algorithm, the packet loss rate of the distributed algorithm combined with Geo-DCs is significantly lower, reduced by about 70%.

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Energy Management for a Port Integrated Energy System Based on Distributed Dual Decomposition Mixed Integer Linear Programming

Cited by 6 publications

References 38 publications

Reliability Assessment for Integrated Seaport Energy System Considering Multiple Thermal Inertia

Reliability Assessment for Integrated Seaport Energy System Considering Multiple Thermal Inertia

Game-Theory-Based Design and Analysis of a Peer-to-Peer Energy Exchange System between Multi-Solar-Hydrogen-Battery Storage Electric Vehicle Charging Stations

Distributed Energy Dispatch for Geo-Data Centers Port Microgrid

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