实时电价环境下太阳能建筑夏季用电优化
摘要：夏季大规模空调负荷的接入加剧了电网负荷峰谷差,对电网经济性运行造成了严重影响。因此,寻求削减空调负荷的有效措施具有重要意义。本文研究了实时电价环境下计及太阳辐射不确定性的太阳能建筑用电优化问题,为了充分利用太阳能资源,该太阳能建筑配置了光伏/光热一体化系统,该系统光热部分收集的热能用于降低建筑空调系统对电量的需求,光电部分产生的电能被存储于蓄电池中,负责向晚间负荷供电。同时针对不确定性问题,本文引入了误差概率模型,采用蒙特卡洛模拟方法计算太阳能建筑的日用电成本,并且考虑不同可控负荷的用电特性,优化建筑内部电气设备的用电时段,以实现降低实时电价环境下用户的用电成本的目标。算例分析中,对比分析了配置有光伏/光热一体化设备的太阳能辅助系统和传统系统的用电经济性。
Abstract:Large scale air conditioning load in summer intensifies the peak and valley difference of power grid, which has a serious impact on its economic operation. Therefore, it is significant to seek effective measures to reduce the load of air conditioning. In this paper, the energy management of solar building is studied considering solar radiation uncertainty. In order to make full use of solar energy resources, the building is configured with photovoltaic/photo-thermal (PT) integration system, whose PT part is aimed to collect thermal energy for air conditioning system to reduce electricity demand and photoelectricity part is used to supply electricity stored in battery for night load power. As to issue of uncertainty, the error probability model is introduced, in which Monte Carlo simulation method is applied to calculate electricity costs. In addition, according to different characteristics of controllable load, the operation periods of electrical equipment in building are optimized to reduce electricity cost under real-time pricing environment. In case analysis, the electricity economy of solar assisted system with PV/PT devices and traditional system is compared and analyzed.
标题：实时电价环境下太阳能建筑夏季用电优化
英文标题：Energy Management of Solar House in Summer Under RTP Environment
作者：徐敏姣, 徐青山, 李国栋, 王旭东, 蒋 菱, 戚 艳,
关键词：太阳能建筑, 不确定性, 用电优化, 实时电价, 光伏/光热,
发表日期：2018-04-09
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