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计及含氢储能与电价型需求响应的能量枢纽日前经济调度
引用本文:姜爱华,钱朝飞,黄银燕,蔡喜名,徐嘉楠. 计及含氢储能与电价型需求响应的能量枢纽日前经济调度[J]. 供用电, 2022, 39(3): 82-91. DOI: 10.19421/j.cnki.1006-6357.2022.03.012
作者姓名:姜爱华  钱朝飞  黄银燕  蔡喜名  徐嘉楠
作者单位:广西大学电气工程学院,广西壮族自治区南宁 530004
摘    要:为了解耦冷热电联供(combined cool,heat and power system,CCHP)机组“以热定电”的运行约束,提高风电消纳能力,降低社会碳排放,提出了计及含氢储能与电价型需求响应的能量枢纽日前经济调度模型。源侧利用冷、热、电、氢4种储能装置,打破CCHP机组热电耦合约束;荷侧引入电价型需求响应改变用户用电行为,通过优化各机组出力与电负荷曲线,增加风机出力。该模型以系统日运行成本最低为目标,引入弃风惩罚成本增加风电消纳,综合功率平衡等约束,调用Gurobi求解器进行优化求解。对不同场景下能量枢纽的优化结果进行分析,并计算燃油汽车的碳排放量以量化氢燃料电池汽车节约的社会碳排放。结果表明:在电价型需求响应策略下,考虑CCHP与含氢储能的能量枢纽系统在增加风电消纳能力的同时降低了系统的日运行总成本,减少了社会碳排放。

关 键 词:风电消纳  电价型需求响应  冷热电联供系统  能量枢纽  氢燃料电池汽车

The day-ahead economic dispatch of the energy hub for wind power accommodation considering hydrogen storage and price-based demand response
JIANG Aihua,Qian Chaofei,HUANG Yinyan,CAI Ximing,XU Jianan. The day-ahead economic dispatch of the energy hub for wind power accommodation considering hydrogen storage and price-based demand response[J]. Distribution & Utilization, 2022, 39(3): 82-91. DOI: 10.19421/j.cnki.1006-6357.2022.03.012
Authors:JIANG Aihua  Qian Chaofei  HUANG Yinyan  CAI Ximing  XU Jianan
Affiliation:(College of Electrical Engineering,Guangxi University,Nanning 530004,China)
Abstract:In order to decouple the operation constraints“following thermal load”of CCHP units,improve the wind power accommodation capacity and reduce social carbon emissions,the day-ahead economic dispatch model of energy hub considering hydrogen storage and price-based demand response is proposed in this paper.On the source side,the multi-energy storage containing hydrogen breaks the bound of CCHP units about thermoelectric coupling constraints.On the load side,price-based demand response is introduced to change the electricity consumption behavior of users.The output of wind turbine is increased by optimizing the output of each unit and electrical load curve.In this model,the minimum daily operation cost of the system is taken as the objective.The penalty cost of wind curtailment is introduced to increase wind power accommodation.Considering power balance and other constraints,Gurobi solver is called to solve the optimization problem.The optimization results of energy hub in different cases are analyzed,and the carbon emissions of fuel vehicles are calculated to quantify the social carbon emissions which saved by hydrogen fuel cell vehicles.The results indicate that based on the price-based demand response strategy,the energy hub system considering CCHP and hydrogen storage not only increases the wind power accommodation capacity,but also reduces the total daily operation cost of the system and the social carbon emissions.
Keywords:wind power accommodation  price-based demand response  CCHP system  energy hub  hydrogen fuel cell electric vehicles
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