Ultra-short-term optimal dispatch for EH-IES considering uncertainty of delay in the distribution network

Bo, Yaolong; Xia, Yanghong; Wei, Wei

doi:10.1016/j.ijepes.2022.108214

Cited by 12 publications

(3 citation statements)

References 42 publications

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“…1. The EH-IES uses energy production, conversion, and storage equipment to meet the demand for electricity, heating, cooling, and hydrogen, in addition to purchasing electricity and natural gas from the grid and the gas network to make up for energy shortfalls [20]. Due to the uncertainty of renewable energy sources such as electrolysis, units consume wind and solar, redundant wind PV, and some of the hydrogen produced is mixed with natural gas for gas turbines.…”

Section: A Eh-ies Structurementioning

confidence: 99%

Day-Ahead and Intra-Day Economic Dispatch of Electricity Hydrogen Integrated Energy System With Virtual Energy Storage

Liu,

Zu,

et al. 2023

IEEE Access

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Section: A Eh-ies Structurementioning

confidence: 99%

Day-Ahead and Intra-Day Economic Dispatch of Electricity Hydrogen Integrated Energy System With Virtual Energy Storage

Liu,

Zu,

et al. 2023

IEEE Access

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“…The constraints reconstruction for the uncertainty is presents based on DRO in this subsection [5]. The optimization mathematical model of optimal dispatch is builded as…”

Section: The Reconstruction Of the Uncertainty Using Dromentioning

confidence: 99%

Optimal dispatch for IES with TGC considering PV prediction error based on DRO

Zhu

Hua

et al. 2022

J. Phys.: Conf. Ser.

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As the renewable energy installation incerase, self-consistent integrated energy system (IES) is becoming more and more important for power grid. However, the current optimal scheduling strategy of IES lacks of robustness. At the same time, few people have studied the influence of national policies on the optimal dispatch of IES. To solve these problems, an optimal dispatch is presented for IES with the tradable green certificate (TGC) considering PV prediction error based on distributionally robust optimization (DRO). The practicality of the proposed model is verified in the typical IES. Based on the experimental results, the proposed strategy can improve the robustness of the optimal dispatch and improve renewable energy consumption.

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“…Aiming at the problem of energy dispatching route security, Cao et al [23] proposed a nondominated-sorting GWO algorithm to solve the power plant multiobjective load dispatching problem, which improves the accuracy of energy dispatching and realizes the safe distribution of energy. Bo et al [24] proposed an ultrashort-term optimal dispatch strategy based on distributed robust optimization, which improves the efciency and accuracy of dispatch and ensures the security and robustness in dispatch. Paul et al [25] proposed a whale optimization technology based on quasioppositional to solve the problem of route confict in energy dispatching and reduce the loss in transmission.…”

Section: Introductionmentioning

confidence: 99%

Energy Dispatching Based on an Improved PSO-ACO Algorithm

Song

et al. 2023

International Journal of Intelligent Systems

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In order to improve the comprehensive performance of energy dispatching between different sites, the optimization research of particle swarm optimization (PSO) algorithm and ant colony optimization (ACO) algorithm is carried out. We proposed a new improved PSO-ACO algorithm based on the idea of hybrid algorithm to solve the problem of poor energy dispatching efficiency between sites. First, the multiobjective performance indicators were introduced to transform the sites’ energy dispatching problem into a multiobjective optimization problem. Second, the vitality factor was introduced into the PSO strategy to solve the local optimal problem, and in the PSO-ACO fusion strategy, the PSO routes were transformed into the ant colony enhancement pheromone to accelerate the accumulation speed of the ACO initial pheromone. Then, the angle guidance function was introduced into the state transition probability of the ACO strategy to improve the global search capability, and a high-quality pheromone update rule was proposed to improve the convergence speed of the algorithm. Finally, simulation experiments were carried out on the improved PSO-ACO algorithm, Min–Max Ant System (MMAS) algorithm, ACO algorithm, PSO algorithm, and PSO update algorithm in a variety of complex site scenarios. The simulation results show that the improved PSO-ACO algorithm can plan a site energy dispatching route with shorter route, less time-consuming, and higher security and realize the comprehensive and global optimization of energy dispatching.

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Ultra-short-term optimal dispatch for EH-IES considering uncertainty of delay in the distribution network

Cited by 12 publications

References 42 publications

Day-Ahead and Intra-Day Economic Dispatch of Electricity Hydrogen Integrated Energy System With Virtual Energy Storage

Day-Ahead and Intra-Day Economic Dispatch of Electricity Hydrogen Integrated Energy System With Virtual Energy Storage

Optimal dispatch for IES with TGC considering PV prediction error based on DRO

Energy Dispatching Based on an Improved PSO-ACO Algorithm

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