为提高系统热舒适度,同时充分挖掘热舒适度对热负荷的弹性指导以提高系统光伏消纳的空间,该文充分考虑热泵、光伏、燃料电池等能源设备的运行影响,提出一种计及热舒适度提升的家用燃料电池热电联产（DFCCHP）系统电热调度方案。根据用户的用热需求将家庭热负荷划分为热水热负荷和采暖热负荷,并引入预测平均评价（PMV）指标对室内温度进行指导;在分时电价和分时气价下,建立以能源购买费用最小和热舒适度最优为目标的多目标家庭电热联合优化调度模型。充分挖掘热负荷的弹性需求,通过引入热舒适度优化目标对热负荷进行指导调度,并采用粒子群算法对模型进行求解;最后,通过仿真探究了不同权重G值下含热舒适度目标的多目标优化对系统成本、热舒适度及光伏本地消纳的影响。结果表明,考虑热舒适度目标后,系统购能成本虽有所增加,但在提升系统热舒适度的同时可增加系统的光伏本地消纳,大大提高能源的综合利用率。
Abstract
In order to improve the thermal comfort of the system and at the same time fully explore the elastic guidance of thermal comfort on thermal load to improve the photovoltaic absorption space of the system, this paper fully considers the operation impact of energy equipment such as heat pump, photovoltaic, and fuel cell, and proposes a household fuel cell combined heat and power （DFCCHP） system electric heating scheduling scheme that takes into account the improvement of thermal comfort. According to the user’s heating demand, the household thermal load is divided into hot water thermal load and heating thermal load, and the PMV index is introduced to guide the indoor temperature; under the condition of the time-of-use electricity price and gas price, a multi-objective household electric heating joint optimization scheduling model is established, which aims at minimizing the energy purchase cost and optimizing the thermal comfort. The elastic demand of the thermal load is fully exploited, and the thermal comfort optimization objective is introduced to guide the scheduling of the thermal load, and the particle swarm algorithm is used to solve the model. Finally, the simulation explores the influence of the multi-objective optimization with the thermal comfort objective on the system cost, thermal comfort and photovoltaic local consumption under different weight G values. The results show that after considering the thermal comfort objective， the system energy purchase cost increases slightly， but the system thermal comfort is improved and the system photovoltaic local consumption is increased， which greatly improves the comprehensive utilization of energy.
关键词
数学模型 /
热舒适度 /
综合能源系统 /
PMV /
光伏消纳 /
优化
Key words
mathematical models /
thermal comfort /
integrated energy system /
PMV /
photovoltaic absorption /
optimization
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基金
国家自然科学基金青年项目（51607151）
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