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Study on Optimal Operation of Integrated Energy System Considering New Energy Incentive Mechanism

机译:考虑新能源激励机制的综合能源系统最优运行研究

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At present, China is in a critical period of energy structure transformation. The development of integrated energy systems opens a new path for in-depth reform of the energy sector. However, integrated energy systems are currently facing problems such as high operating costs, limited consumption levels of new energy and low energy efficiency per unit equipment. Therefore, firstly, we propose an integrated energy system optimal operation model considering new energy incentive mechanism. By utilizing the lowest integrated energy system daily operation cost as the target, mixed integer linear programming method is adopted for calculation and solution, whilst artificial intelligence algorithm is introduced to ensure the accuracy of relevant prediction data. Secondly, the study fully considers the economy, rationality, efficiency and other requirements of system operation, improves constraint model of each unit equipment in the system and implementing four typical scenarios of incentive mechanism. Finally, the influence of the four typical scenarios on the integrated energy system operation is analyzed through the cases. The results show that the optimal model and incentive mechanism in this paper can further reduce the system operating cost, improve new energy consumption level, and improving each unit equipment operation flexibility and stability in the system, especially the regulating role of energy storage equipment in system operation. Meanwhile, the research results also quantitatively show the integrated energy system operating cost change rate under the different incentive mechanisms. It has great significance to the decision-making of system deployment and operation, clarifies the influence of different incentive mechanisms on the system operation economic benefits, and promotes the benefits of integrated energy system developing.
机译:当前,中国正处于能源结构转型的关键时期。综合能源系统的发展为能源部门的深入改革开辟了一条新途径。然而,集成能源系统当前面临诸如高运营成本,新能源的消耗水平有限以及每台设备的能源效率低等问题。因此,首先,我们提出了一种考虑新的能源激励机制的综合能源系统最优运行模型。以综合能源系统日运行成本最低为目标,采用混合整数线性规划方法进行计算和求解,同时引入人工智能算法以保证相关预测数据的准确性。其次,研究充分考虑了系统运行的经济性,合理性,效率等要求,完善了系统中各单元设备的约束模型,并实现了四种典型的激励机制。最后,通过案例分析了四种典型情景对综合能源系统运行的影响。结果表明,本文提出的最优模型和激励机制可以进一步降低系统运行成本,提高新能源消耗水平,提高系统中各单元设备运行的灵活性和稳定性,尤其是储能设备在系统中的调节作用。手术。同时,研究结果还定量地显示了不同激励机制下的综合能源系统运行成本变化率。它对系统部署和运行的决策具有重要意义,阐明不同激励机制对系统运行经济效益的影响,并促进集成能源系统的发展。

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