Bi-level optimization model of integrated biogas energy system considering the thermal comfort of heat customers and the price fluctuation of natural gas

Qin, Minglei; Yang, Yingze; Chen, Sijie; Xu, Qingshan

doi:10.1016/j.ijepes.2023.109168

Cited by 9 publications

(3 citation statements)

References 49 publications

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“…However, this method did not consider the effect of the uncertainty of ambient temperature on the system. Qin et al [15] proposed a power supply system with complementary coupling of solar energy and biogas, which generated electricity through solar energy during the daytime and provided a stable power supply with biogas cogeneration in the evening. This system not only effectively reduced the total annual costs and carbon emissions, but also improved the efficiency of energy use.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Combined heat and power (CHP): CHP is a biogas-fueled equipment through which the high-level heat energy generated from the combustion of biogas is converted to electricity and low-level heat energy is collected through waste heat boiler (WHB) [24] . In this system, CHP mainly consumes biogas to output electrical power and heat for followers: (15) (16) (17) (18) where η CHP,t e is the electricity generating efficiency of CHP; ә is the heat-electricity generation ratio of the CHP; ΔPdi, ΔPui are the upper and lower limit of CHP ramp rate.…”

Section: Constraints Of the Nes (1) Electricity Balance Constraintmentioning

confidence: 99%

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Scheduling of integrated biogas energy system for rural areas using improved differential evolutionary algorithm

Lv,

Gao

2024

Infor. Syst. Smart. City

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Due to lack of rational system design, an enormous amount of energy and resources are wasted or ineffectively utilized in China’s rural areas. Therefore, it is crucial to develop a practical energy system that applies to rural areas. In this paper, a Stackelberg game model is established for optimization of integrated energy system (IES) in rural areas. As a leader, new energy supplier (NES) develops price strategy for electricity and heat, the flexible users and biogas plant (BP) as followers receive price information and make energy consumption plans. Then NES adjusts equipment output based on followers’ feedback on energy loads. The objective of our Stackelberg game is to maximize the profit of NES while taking into account the costs of followers. Furthermore, our study designs an improved differential evolutionary algorithm (DEA) to achieve Stackelberg balance. The optimization scheduling result shows that the proposed model can obviously increase the profit of NES by 5.4% and effectively decrease the cost of biogas plant by 4.5%.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Constraints Of the Nes (1) Electricity Balance Constraintmentioning

confidence: 99%

Scheduling of integrated biogas energy system for rural areas using improved differential evolutionary algorithm

Lv,

Gao

2024

Infor. Syst. Smart. City

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“…Accordingly, ref. [23] established a bi-level optimization model of HRIES considering the heat comfort of heat customers. The results revealed that the heat comfort enhanced system flexibility and reduced the dependence of the upper power grid and the gas transmission network by 24.8%.…”

Section: Introductionmentioning

confidence: 99%

Flexible Regulation and Synergy Analysis of Multiple Loads of Buildings in a Hybrid Renewable Integrated Energy System

Wu,

Fan,

Yan

et al. 2024

Sustainability

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The insufficient flexibility of the hybrid renewable integrated energy system (HRIES) causes renewable power curtailment and weak operational performance. The regulation potential of flexible buildings is an effective method for handling this problem. This paper builds a regulation model of flexible heat load according to the dynamic heat characteristics and heat comfort elastic interval of the buildings, as well as a regulation model of the flexible electrical load based on its transferability, resectability, and rigidity. An operation optimization model, which incorporates flexible regulation of multiple loads and a variable load of devices, is then developed. A case study is presented to analyze the regulation and synergy mechanisms of different types of loads. Its results show a saturation effect between heat and electrical loads in increasing renewable energy consumption and a synergistic effect in decreasing the operating cost. This synergy can reduce the operating cost by 0.73%. Furthermore, the operating cost can be reduced by 15.13% and the curtailment rate of renewable energy can be decreased by 12.08% when the flexible electrical and heat loads are integrated into the operation optimization of HRIES.

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A Two‐Stage Multi‐Objective Optimal Scheduling Model for Community Integrated Energy System

Liu,

Huang,

Sun

et al. 2024

IEEJ Transactions Elec Engng

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Community integrated energy system coupled with renewable energy generation provides an effective solution to improve economy and reduce carbon emissions. This paper establishes a two‐stage multi‐objective optimal scheduling model for community integrated energy system. During the day‐ahead scheduling stage, a comprehensive customer dissatisfaction model based on Kano model is established, and the model takes total operating cost, comprehensive customer dissatisfaction, and carbon emissions as multi‐objectives. The Non‐dominate Sorting Genetic Algorithmic‐II (NSGA‐II) and the CRITIC‐TOPSIS evaluation model are used to develop a day‐ahead scheduling scheme. On the premise of ensuring customer dissatisfaction, the intra‐day scheduling stage evens out the uncertainty of wind power and photovoltaic power through rolling optimization and improves the reliability of system operation. Simulation results show that the proposed model reduces the total operating cost and carbon emissions by 8.1% and 12.8%, respectively, which validates the effectiveness of the proposed model. © 2024 Institute of Electrical Engineer of Japan and Wiley Periodicals LLC.

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Bi-level optimization model of integrated biogas energy system considering the thermal comfort of heat customers and the price fluctuation of natural gas

Cited by 9 publications

References 49 publications

Scheduling of integrated biogas energy system for rural areas using improved differential evolutionary algorithm

Scheduling of integrated biogas energy system for rural areas using improved differential evolutionary algorithm

Flexible Regulation and Synergy Analysis of Multiple Loads of Buildings in a Hybrid Renewable Integrated Energy System

A Two‐Stage Multi‐Objective Optimal Scheduling Model for Community Integrated Energy System

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