【作者】 王越；

【导师】 贾宏杰； 侯恺；

【作者基本信息】 天津大学 ， 电气工程， 2018， 硕士

【摘要】 综合能源系统通过耦合多种形式能源,不仅能够实现能源的梯级利用,还能有效解决能源枯竭、环境污染等问题,具有良好的发展前景。然而,在保证综合能源系统安全可靠运行方面,仍然面临着诸多的问题和挑战。为有效保证电力系统以及电气热综合能源系统的安全可靠运行,本文致力于在区域综合能源系统可靠性工作的模型构建、算法设计、评估方法及应用推广展开研究。首先,本文提出了基于粒子群-内点混合的优化潮流算法,对综合能源系统优化潮流的计算进行算法改进,能够得到综合能源系统更为准确的负荷削减量,进而在对目标综合能源系统进行可靠性评估时,给出更加准确的可靠性指标值。之后,引入了综合能源系统分层解耦优化模型的概念,并将其应用到电气热相结合的综合能源系统案例中,证明了分层解耦优化模型对综合能源系统可靠性评估研究的重要应用。同时,验证了基于影响增量的状态枚举法,在综合能源系统可靠性评估中具有保证计算精度前提下,仍能够提高计算效率应用价值。最后,应用本文中提出的粒子群-内点优化算法,分层解耦优化模型以及基于影响增量的状态枚举法,对综合能源系统的微型燃气轮机、光伏设备及储能设备,从可靠性和经济性的视角,分析了其容量对系统可靠性和运行成本的影响,为科学选择设备容量和参数,提供决策支持。更多还原

【Abstract】 By coupling multiple forms of energy,the integrated energy system(IES)can not only realize the cascade utilization of energy,but also effectively solve the problems of energy depletion,environmental pollution.However,there are still many problems and challenges in ensuring the safe and reliable operation of IES.In order to effectively ensure the safe and reliable operation of the power system and integrated energy system,this paper is devoted to the research on model construction,algorithm design,evaluation method and application promotion of the reliability evaluation for regional integrated energy system.Firstly,this paper proposes an optimized power flow algorithm based on particle swarm optimization and internal point method,which improves the algorithm for calculating the optimal power flow of integrated energy systems.When the system performs reliability evaluation,it gives a more accurate reliability index value.After that,the concept of hierarchical decoupling optimization framework of IES was introduced and applied to the case of IES combining electricity,natural gas and district heating system.The important application of the hierarchical decoupling optimization framework to the reliability evaluation of regional integrated energy systems is proved.At the same time,it is verified that the state enumeration method based on the influence increment can improve the application efficiency of the calculation efficiency under the premise of ensuring the calculation accuracy in the reliability evaluation of the integrated energy system.Finally,the combined particle swarm optimization and internal point method algorithm proposed in the previous paper,the layered decoupling optimization framework l and the state enumeration method based on the influence increment are applied to the micro gas turbine,photovoltaic equipment and energy storage equipment of the integrated energy system.From an economic perspective,the impact of capacity on system reliability and operating costs is analyzed,and decision support is provided for scientific selection of equipment capacity and parameters.更多还原