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

Abstract 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, nonconvex, 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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