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作 者:梁海平[1] 谢鑫 李世航 Liang Haiping;Xie Xin;Li Shihang(School of Electrical and Electronic Engineering,North China Electric Power University,Baoding 071003,China)
机构地区:[1]华北电力大学电气与电子工程学院,保定071003
出 处:《太阳能学报》2024年第8期273-280,共8页Acta Energiae Solaris Sinica
摘 要:基于“电网-聚合商-负荷”三级架构,提出空气源热泵负荷聚合参与需求响应的控制策略。供暖运营商作为热泵负荷的聚合商,在保证用户热舒适度的基础上,利用建筑本身的蓄能能力,结合分时电价最小化供热成本,并对负荷可调节潜力进行评估。当电网调度部门下发调控指令后,考虑用户舒适度和电网调节需求,基于多目标遗传算法分配各负荷调节量,在满足调控目标的同时可改善调控带来的聚合功率振荡、反弹负荷大等问题。最后,仿真验证所提策略的有效性。Based on the three-level architecture of"grid-aggregator-load",a control strategy for air source heat pump load aggregation to participate in demand response is proposed.As an aggregator of heat pump loads,heating operators use the energy storage capacity of the building itself,combined with time-of-use electricity prices,to minimize heating costs and evaluate the load adjustability potential on the basis of ensuring user thermal comfort.When the power grid dispatching department issues regulation instructions,it considers user comfort and grid regulation needs,and allocates each load adjustment amount based on a multi-objective genetic algorithm,which satisfies the regulation objectives while improving the aggregate power oscillation and large rebound load caused by regulation.question.Finally,simulation verifies the effectiveness of the proposed strategy.
关 键 词:空气源热泵 需求响应 温控负荷 模型预测控制 聚合调控 负荷恢复
分 类 号:TM73[电气工程—电力系统及自动化]
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