| 引用本文: | 潘帅琪,魏繁荣,林湘宁,等.光伏建筑一体化社区热电联供调度策略[J].电力系统保护与控制,2022,50(4):24-35.[点击复制] |
| PAN Shuaiqi,WEI Fanrong,LIN Xiangning,et al.Dispatch strategy of heat and power cogeneration in building integrated photovoltaic[J].Power System Protection and Control,2022,50(4):24-35[点击复制] |
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| 摘要: |
| 针对冬季寒冷条件下光伏建筑一体化社区(Building Integrated Photovoltaic, BIPV)的电辅热装置性能系数(Coefficient of Performance, COP)大幅下降的问题，提出一种新型光伏建筑一体化社区热电联供调度策略。首先，提出一种含可翻转热电联供模式(Reversible Solar Thermal Electricity Cogeneration Mode, RSTECM)和相变储能系统的新型热电联供系统，量化分析了热泵性能系数和光伏出力随环境条件的变化情况。然后，引入一种含等效热参数(Equivalent Thermal Parameters, ETP)的建筑热力网络，由此建立一种含热力系统和电力系统的社区微网模型，并以社区运行成本最小化为优化目标。最后，引入差分化处理和热力侧-电力侧问题交互迭代的算法，实现优化模型的高效求解。算例仿真验证了所提能源供给模式及协调调度策略的可行性和优越性。 |
| 关键词: 光伏建筑一体化社区 热电联供 相变储能系统 差分化 交互迭代 |
| DOI：DOI: 10.19783/j.cnki.pspc.210634 |
| 投稿时间：2021-05-27修订日期：2021-11-08 |
| 基金项目:国家自然科学基金项目资助(52107095)；东莞市引进创新科研团队计划资助(201536000200036) |
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| Dispatch strategy of heat and power cogeneration in building integrated photovoltaic |
| PAN Shuaiqi,WEI Fanrong,LIN Xiangning,LI Zhengtian,SUI Quan,XU Haibo |
| (1. College of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443002, China;
2. State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of
Science and Technology, Wuhan 430074, China; 3. East Group Co., Ltd., Dongguan 523808, China) |
| Abstract: |
| Given the problem that the coefficient of performance of electric auxiliary heating devices in building integrated photovoltaic decreases significantly under cold winter conditions, a novel combined heat and power supply scheduling strategy for building integrated photovoltaic is proposed. First, a new combined heat and power system with a reversible solar thermal electricity cogeneration mode and a phase change energy storage system is established. The variation of coefficient of performance of the heat pump and photovoltaic output with environmental conditions is quantified and analyzed. Secondly, a building thermal network with equivalent thermal parameters is introduced to establish a community micro-grid model with heat and power systems, and the optimization objective is to minimize the community operation cost. Finally, an algorithm of differential processing and interactive iteration of the thermodynamic-electrical side problem is introduced to achieve an efficient solution of the optimization model. The simulation verifies the feasibility and superiority of the proposed energy supply mode and coordinated scheduling strategy.
This work is supported by the National Natural Science Foundation of China (No. 52107095). |
| Key words: building integrated photovoltaic heat and power cogeneration phase change material energy storage system difference method interactive iteration |
