4.8 Article

Hybrid time-scale energy optimal scheduling strategy for integrated energy system with bilateral interaction with supply and demand

Journal

APPLIED ENERGY
Volume 285, Issue -, Pages -

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.apenergy.2021.116458

Keywords

Integrated energy system; Large-scale centralized renewable energy; Interact game; Hybrid time-scale; Large scale multi-objective optimization

Funding

  1. National Natural Science Foundation of China [52067020]

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The study presents a hybrid time-scale energy optimal scheduling model based on game interaction with supply and demand, which effectively addresses the complex energy coupling and competition among multiple market entities in integrated energy systems. The results demonstrate that the strategy can balance the economy and robustness, improving the profit benefit of the integrated energy system and increasing the benefits of market entities.
In view of the complex energy coupling and multiple market entities competition in integrated energy system, a hybrid time-scale energy optimal scheduling model based on game interaction with supply and demand is presented. Considering the initiative of market players in the day-ahead scale, a bilateral game interaction framework for the operator of integrated energy system and a calibration model considering differences in energy distinguishing feature in the intraday scale are presented. At the intraday scale, the cold and thermal energy related equipment and controllable resources with low time resolution were modified combined with the day-ahead plan in slow layer, while the power related's with high time resolution were modified combined with the slow layer plan in fast layer. Aim at the above-mentioned complex model, such as multi-objective, non-convex, strong constraint, large-scale decision variables and irregular Pareto front shape, an adaptive reference point based large scale multi-objective whale optimization algorithm is proposed. Finally, the bilateral interactivity and sensitivity for scheduling results were quantitatively analyzed, under the influence of power generation and consumption uncertainty. The results show that the strategy can balance the economy and robustness, improve the profit benefit of IES by 61.5% with the traditional robustness. Balance the benefits of market entities, bilateral game can increase the benefit of IES by 57.6%. The model based on different energy characteristics is more in line with the actual scheduling situation.

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