黄文焘, 王萧博, 邰能灵, 戴世刚, 陈振宇, 杨斌. 电热微网能量耦合转换模型与梯级优化利用方法[J]. 中国电机工程学报, 2020, 40(21): 6804-6815. DOI: 10.13334/j.0258-8013.pcsee.191940
引用本文: 黄文焘, 王萧博, 邰能灵, 戴世刚, 陈振宇, 杨斌. 电热微网能量耦合转换模型与梯级优化利用方法[J]. 中国电机工程学报, 2020, 40(21): 6804-6815. DOI: 10.13334/j.0258-8013.pcsee.191940
HUANG Wen-dao, WANG Xiao-bo, TAI Neng-ling, DAI Shi-gang, CHEN Zhen-yu, YANG Bin. Energy Coupling Conversion Model and Cascade Utilization Method for Microgrid With Heat and Power System[J]. Proceedings of the CSEE, 2020, 40(21): 6804-6815. DOI: 10.13334/j.0258-8013.pcsee.191940
Citation: HUANG Wen-dao, WANG Xiao-bo, TAI Neng-ling, DAI Shi-gang, CHEN Zhen-yu, YANG Bin. Energy Coupling Conversion Model and Cascade Utilization Method for Microgrid With Heat and Power System[J]. Proceedings of the CSEE, 2020, 40(21): 6804-6815. DOI: 10.13334/j.0258-8013.pcsee.191940

电热微网能量耦合转换模型与梯级优化利用方法

Energy Coupling Conversion Model and Cascade Utilization Method for Microgrid With Heat and Power System

  • 摘要: 为提高电热微网运行的能效水平,该文建立多能流耦合转换模型,基于梯级利用原理,提出能量综合利用优化方法。分析电热微网系统结构,建立电热微网中冷、热、电能生产梯级利用流程,分析电热耦合梯级利用的源荷储关系。根据不同能源品位及其转换方式,建立能量流耦合模型和能量品位转换模型,以实现电能和热能之间、不同品位热能之间的能量互济。从源荷储3个角度出发,建立不同能源母线的能量流供需模型。最后基于能量梯级优化利用模型的运行约束,以日运行费用最低为目标,求解各能源设备优化调度策略。仿真算例表明所提方法有效地降低了运行成本,提高了能源综合利用效率。

     

    Abstract: In order to improve the energy utilization efficiency of microgrid with heat and power system, this paper established the multi-energy coupling conversion model and proposed an energy comprehensive utilization optimization method, which is based on the cascade utilization principle. We analyzed the structure of microgrid with heat and power system and established the cascade utilization process during the cold, heat and electric energy production. The relationship between source, demand and storage was also considered. According to different energy grades and their conversion modes, the energy flow coupling model and the energy grade conversion model were established to realize the energy exchange between electric energy and thermal energy and between different grades of thermal energy. The energy supply and demand model of different energy bus was built. Finally, based on the operational constraints of the energy cascade optimization utilization model, the optimal scheduling strategy of each equipment was solved with the goal of the lowest daily operating cost. Simulation shows that the proposed methodology effectively reduced the operating cost and improved the comprehensive energy utilization efficiency.

     

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