Low-Carbon Economic Dispatch for Integrated Energy System Through the Dynamic Reward and Penalty Carbon Emission Pricing Mechanism

Wu, Yingjun; Shi, Zhanyu; Lin, Zhiwei; Xiang, Zhao; Xue, Tao; Shao, Junjie

doi:10.3389/fenrg.2022.843993

Cited by 8 publications

(4 citation statements)

References 30 publications

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“…The multi-energy coupling operation mode expands the regulation capacity of the single power system and plays a key role in emission reduction (Mancarella, 2014;Martinez Cesena et al, 2019;Wu et al, 2022). However, the complex energy conversion relationship and non-linear characteristics bring challenges to the operational flexibility evaluation.…”

Section: Open Accessmentioning

confidence: 99%

A robust flexibility evaluation method for distributed multi-energy microgrid in supporting power distribution system

Wang

Zhao

et al. 2023

Front. Energy Res.

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Today’s power system is facing various challenges brought by large-scale renewable energy (RE) integration, which brings higher demand for flexibility. With the energy network gradually showing its distributed structural characteristics, multi-energy microgrids (MEMG) become an important component to effectively utilize distributed energy sources and supplement the flexibility of power distribution system (PDS). To effectively harness the operational flexibility of distributed MEMGs, we propose in this paper an evaluation method to quantify the flexibility capability of MEMG. A virtually established MG flexibility bus (MG-FB) is endowed with MG flexibility parameters (MG-FPs), which can reflect the flexibility characteristics of MEMG. To consider the impact of operational uncertainty on MG-FPs, a two-stage adaptive robust optimization (ARO) model is proposed, which can be solved by the C&CG algorithm. The results of a typical test system show the influence of system configuration, operator’s risk preference, and other factors on the values of MG-FPs. Besides, we illustrate the effectiveness and applicability of the proposed framework in modeling and quantifying the operational flexibility of MEMG to support the operation of the upstream network.

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Section: Open Accessmentioning

confidence: 99%

A robust flexibility evaluation method for distributed multi-energy microgrid in supporting power distribution system

Wang

Zhao

et al. 2023

Front. Energy Res.

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“…Yi et al [19] established a low-carbon positioning vehicle scheduling objective function and formulated a three-stage Stackelberg game model. Wu et al [20] constructed a ceuc model with dynamic reward and penalty pricing mechanism (drppm). Tomasi et al [21] established a low-carbon logistics target model for fuel vehicles in order to make carbon emissions proportional to fuel consumption.…”

Section: Literature Review 121 the Application Of Low Carbon Target M...mentioning

confidence: 99%

Research on Optimization Method and Algorithm Design of Green Simultaneous Pick-up and Delivery Vehicle Scheduling under Uncertain Demand

et al. 2022

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In order to solve the problem that the existing low-carbon vehicle scheduling model ignores the economic benefits of enterprises and cannot fully reflect the fuzzy needs of customers, the green simultaneous pick-up and delivery vehicle scheduling problem is studied here. With the goal of minimizing the total cost composed of service cost, fuel consumption cost, and carbon emission cost, a multi-objective comprehensive model of green simultaneous pick-up and delivery under fuzzy demand is established. In order to fully consider the objective uncertainty of customer demand and customer service time, triangular fuzzy numbers are introduced and simultaneous delivery demand is considered. An improved genetic tabu search algorithm is proposed to solve this problem. In the improved GA-TS algorithm, the penalty factor is introduced into the fitness function, the selection operator combined with elite strategy is adopted, and a mutation operator combined with tabu search algorithm is proposed. The Taguchi analysis method is used to obtain reasonable parameter settings of the GA-TS algorithm. Finally, a case study is used to verify the effectiveness of the model and hybrid algorithm. The experimental results show that the proposed comprehensive model can effectively optimize the scheduling of low-carbon simultaneous pick-up and delivery vehicles under fuzzy demand, and the effectiveness and feasibility of genetic tabu search algorithm are verified by comparing the experimental results of different algorithms and different case sizes.

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“…Ref. [22] established a two-stage reaction model of P2G and proposed an energy utilization path of mixed hydrogen and oxygen-enriched deep peaking. P2G can directly produce natural gas through hydrogen methanation, and the natural gas input into CHP with two-stage P2G operation can further improve the low-carbon and economic performance of an IES.…”

Section: Introductionmentioning

confidence: 99%

Optimization of the Joint Operation of an Electricity–Heat–Hydrogen–Gas Multi-Energy System Containing Hybrid Energy Storage and Power-to-Gas–Combined Heat and Power

Yang,

Zeng,

et al. 2024

Energies

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With the continuous development of hydrogen storage systems, power-to-gas (P2G) and combined heat and power (CHP), the coupling between electricity–heat–hydrogen–gas has been promoted and energy conversion equipment has been transformed from an independent operation with low energy utilization efficiency to a joint operation with high efficiency. This study proposes a low-carbon optimization strategy for a multi-energy coupled IES containing hydrogen energy storage operating jointly with a two-stage P2G adjustable thermoelectric ratio CHP. Firstly, the hydrogen energy storage system is analyzed to enhance the wind power consumption ability of the system by dynamically absorbing and releasing energy at the right time through electricity–hydrogen coupling. Then, the two-stage P2G operation process is refined and combined with the CHP operation with an adjustable thermoelectric ratio to further improve the low-carbon and economic performance of the system. Finally, multiple scenarios are set up, and the comparative analysis shows that the addition of a hydrogen storage system can increase the wind power consumption capacity of the system by 4.6%; considering the adjustable thermoelectric ratio CHP and the two-stage P2G, the system emissions reduction can be 5.97% and 23.07%, respectively, and the total cost of operation can be reduced by 7.5% and 14.5%, respectively.

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Low-Carbon Economic Dispatch for Integrated Energy System Through the Dynamic Reward and Penalty Carbon Emission Pricing Mechanism

Cited by 8 publications

References 30 publications

A robust flexibility evaluation method for distributed multi-energy microgrid in supporting power distribution system

A robust flexibility evaluation method for distributed multi-energy microgrid in supporting power distribution system

Research on Optimization Method and Algorithm Design of Green Simultaneous Pick-up and Delivery Vehicle Scheduling under Uncertain Demand

Optimization of the Joint Operation of an Electricity–Heat–Hydrogen–Gas Multi-Energy System Containing Hybrid Energy Storage and Power-to-Gas–Combined Heat and Power

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