To utilize heat and electricity in a clean and integrated manner,a zero-carbon-emission micro Energy Internet(ZCE-MEI) architecture is proposed by incorporating non-supplementary fired compressed air energy storage(NS...To utilize heat and electricity in a clean and integrated manner,a zero-carbon-emission micro Energy Internet(ZCE-MEI) architecture is proposed by incorporating non-supplementary fired compressed air energy storage(NSF-CAES) hub.A typical ZCE-MEI combining power distribution network(PDN) and district heating network(DHN) with NSF-CAES is considered in this paper.NSF-CAES hub is formulated to take the thermal dynamic and pressure behavior into account to enhance dispatch flexibility.A modified Dist Flow model is utilized to allow several discrete and continuous reactive power compensators to maintain voltage quality of PDN.Optimal operation of the ZCE-MEI is firstly modeled as a mixed integer nonlinear programming(MINLP).Several transformations and simplifications are taken to convert the problem as a mixed integer linear programming(MILP)which can be effectively solved by CPLEX.A typical test system composed of a NSF-CAES hub,a 33-bus PDN,and an 8-node DHN is adopted to verify the effectiveness of the proposed ZCE-MEI in terms of reducing operation cost and wind curtailment.展开更多
面向能源互联网的零碳园区以新能源为主体,汇集了高比例风/光/生物质等可再生能源、氢发电、煤电等能源形式。然而,目前零碳园区设备数据状态感知研究较少。为合理规划零碳园区中用于数据收集与分析的智能感知设备,保证零碳园区能源系...面向能源互联网的零碳园区以新能源为主体,汇集了高比例风/光/生物质等可再生能源、氢发电、煤电等能源形式。然而,目前零碳园区设备数据状态感知研究较少。为合理规划零碳园区中用于数据收集与分析的智能感知设备,保证零碳园区能源系统可靠、安全、优质、低碳和经济运行,提出一种面向能源互联网的零碳园区智能感知设备优化规划方法。首先,分析零碳园区状态感知设备的要求,制定了智能感知设备优化规划的原则,考虑投资成本、维护成本、故障成本等方面,提出了零碳园区智能感知设备优化规划的数学模型;其次,为实现所制定数学模型的准确求解,提出一种灰狼-教与学混合优化(grey wolf and teaching-learning hybrid optimization, GWO-TLBO)算法;最后,以一个零碳园区的实际案例作为仿真验证,验证了文章所提出的零碳园区智能感知设备优化规划方法可显著降低生命周期成本,与现有智能算法的对比实验表明所提出的GWO-TLBO算法具有较高的求解精度。展开更多
Carbon neutrality is an ambitious goal that has been promulgated to be achieved on or before 2060.However,most of the current energy policies focus more on carbon emission reduction,efficiency and high penetration of ...Carbon neutrality is an ambitious goal that has been promulgated to be achieved on or before 2060.However,most of the current energy policies focus more on carbon emission reduction,efficiency and high penetration of renewable energy.Thus,this paper presented a review strategy towards carbon neutrality by presenting the concept of a multi-energy system(MES)in terms of its technologies,configuration,modelling and feasibility as zero-emission equipment.The paper addressed some prominent challenges associated with zero-carbon multi-energy systems(ZCMES).Various proven solutions in the extant studies that have been affirmed to alleviate some of these challenges were presented.In the end,we identified and summarised the current research gaps,and the future directions to ensure the feasibility of ZCMES as a primary strategy towards the actualization of carbon neutrality.Hence,this review work serves as a reference for revising the current energy policies to incorporate a carbon neutrality framework.展开更多
基金supported in part by the National Natural Science Foundation of China(No.51321005,No.51377092,No.51577163)Opening Foundation of the Qinghai Province Key Laboratory of Photovoltaic Power Generation and Grid-connected Technology
文摘To utilize heat and electricity in a clean and integrated manner,a zero-carbon-emission micro Energy Internet(ZCE-MEI) architecture is proposed by incorporating non-supplementary fired compressed air energy storage(NSF-CAES) hub.A typical ZCE-MEI combining power distribution network(PDN) and district heating network(DHN) with NSF-CAES is considered in this paper.NSF-CAES hub is formulated to take the thermal dynamic and pressure behavior into account to enhance dispatch flexibility.A modified Dist Flow model is utilized to allow several discrete and continuous reactive power compensators to maintain voltage quality of PDN.Optimal operation of the ZCE-MEI is firstly modeled as a mixed integer nonlinear programming(MINLP).Several transformations and simplifications are taken to convert the problem as a mixed integer linear programming(MILP)which can be effectively solved by CPLEX.A typical test system composed of a NSF-CAES hub,a 33-bus PDN,and an 8-node DHN is adopted to verify the effectiveness of the proposed ZCE-MEI in terms of reducing operation cost and wind curtailment.
文摘面向能源互联网的零碳园区以新能源为主体,汇集了高比例风/光/生物质等可再生能源、氢发电、煤电等能源形式。然而,目前零碳园区设备数据状态感知研究较少。为合理规划零碳园区中用于数据收集与分析的智能感知设备,保证零碳园区能源系统可靠、安全、优质、低碳和经济运行,提出一种面向能源互联网的零碳园区智能感知设备优化规划方法。首先,分析零碳园区状态感知设备的要求,制定了智能感知设备优化规划的原则,考虑投资成本、维护成本、故障成本等方面,提出了零碳园区智能感知设备优化规划的数学模型;其次,为实现所制定数学模型的准确求解,提出一种灰狼-教与学混合优化(grey wolf and teaching-learning hybrid optimization, GWO-TLBO)算法;最后,以一个零碳园区的实际案例作为仿真验证,验证了文章所提出的零碳园区智能感知设备优化规划方法可显著降低生命周期成本,与现有智能算法的对比实验表明所提出的GWO-TLBO算法具有较高的求解精度。
基金This work was supported in part by the Natural Science Foundation of China under Grants 61873118in part by the Shenzhen Committee on Science and Innovations under Grant GJHZ20180411143603361in part by the Department of Science and Technology of Guangdong Province under Grant 2018A050506003.
文摘Carbon neutrality is an ambitious goal that has been promulgated to be achieved on or before 2060.However,most of the current energy policies focus more on carbon emission reduction,efficiency and high penetration of renewable energy.Thus,this paper presented a review strategy towards carbon neutrality by presenting the concept of a multi-energy system(MES)in terms of its technologies,configuration,modelling and feasibility as zero-emission equipment.The paper addressed some prominent challenges associated with zero-carbon multi-energy systems(ZCMES).Various proven solutions in the extant studies that have been affirmed to alleviate some of these challenges were presented.In the end,we identified and summarised the current research gaps,and the future directions to ensure the feasibility of ZCMES as a primary strategy towards the actualization of carbon neutrality.Hence,this review work serves as a reference for revising the current energy policies to incorporate a carbon neutrality framework.
