基于Stackelberg对策的电热氢一体化能源系统优化调度

Yumin Zhang, Jingrui Li, Xingquan Ji, Pingfeng Ye, Danwen Yu, Baoyu Zhang
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引用次数: 0

摘要

综合能源系统中各实体之间的利益冲突对综合能源系统的运营决策提出了极大的挑战。为此,提出了一种基于Stackelberg对策的电热氢IES优化调度模型。首先,建立了一个考虑氢能充分利用、涉及氢能向电能和热能转化的能源生产者模型。同时,需求响应量被整合到负载聚合器(LA)的目标函数中,以鼓励消费者调整他们的消费行为。其次,通过分析EP、能源系统运营商(ESO)和LA之间价格信息交互的特征,重新表述了IES中每个实体的收益。最后,建立了以ESO为主导者、EP和LA为跟随者、私人信息保密的Stackelberg博弈模型。采用遗传算法和二次规划算法(GA-QP)对所建立的模型进行求解。在中国北方一个实际的公园级IES上进行了数值实验,以证明所提出的模型在促进各实体之间的利益平衡方面的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Optimal dispatching of electric-heat-hydrogen integrated energy system based on Stackelberg game

Optimal dispatching of electric-heat-hydrogen integrated energy system based on Stackelberg game

The interest conflict among entities in the integrated energy system (IES) has a great challenge to operation decisions of IES. With regards to this, an optimal dispatching model of electric-heat-hydrogen IES based on Stackelberg game is proposed. Firstly, an energy producer (EP) model is formulated which considered the full utilization of hydrogen energy and involved the conversion of hydrogen energy to electricity and heat energy. Meanwhile, the demand response amount is integrated into the objective function of load aggregator (LA) in order to encourage consumers to adjust their consumption behaviour. Secondly, by analyzing the characteristics of price information interaction among EP, energy system operator (ESO), and LA, the payoffs of each entity in IES are reformulated. Finally, a Stackelberg game model is established with ESO as the dominator guiding price information, EP and LA as the followers whose private information is confidential. Genetic algorithm and quadratic programming algorithm (GA-QP) are employed to solve the developed model. Numerical experiments are carried out on an actual park-level IES in northern China to demonstrate the effectiveness of the proposed model in promoting the benefit equilibrium among various entities.

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