| 引用本文: | 张虹,王辛玮,王明晨,李佳旺,白洋,张玉海.计及灰水负荷预测的区域型热补偿系统调控策略[J].电力自动化设备,2023,43(11):18-25 |
| ZHANG Hong,WANG Xinwei,WANG Mingchen,LI Jiawang,BAI Yang,ZHANG Yuhai.Regulation strategy of regional thermal compensation system considering grey water load forecasting[J].Electric Power Automation Equipment,2023,43(11):18-25 |
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| 摘要: |
| 传统供暖手段以热电联产机组作为主要热源，由于热电联产机组具有电热耦合的特性，因此运行时会产生热电负荷不匹配问题。为缓解这一问题，提出了一种集中供暖与区域型热补偿系统共同参与的供暖手段。对用户侧的灰水生产情况进行灰水生产活动预测，量化预计可回收热能，并结合光热电站的余热，将二者一同作为集中供暖的补偿热源。根据用户侧的热负荷特性以及光热电站和灰水热能回流系统的供热特性，构建区域型热补偿系统的运行优化模型，使用模型预测控制方法制定系统模型的调控策略。最后，通过设置算例仿真对比可知，所提出的调控策略能够回收利用原本废弃的热能，在实现供暖目标的同时保证了系统的经济性和环保性。 |
| 关键词: 集中供暖 热能回流 区域型热补偿系统 灰水负荷预测 热电负荷不匹配 |
| DOI：10.16081/j.epae.202304027 |
| 分类号:TM73;TK01 |
| 基金项目:国家自然科学基金资助项目(51777027)；吉林省教育厅科学技术研究项目(JJKH20210093KJ) |
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| Regulation strategy of regional thermal compensation system considering grey water load forecasting |
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ZHANG Hong1, WANG Xinwei1, WANG Mingchen2, LI Jiawang3, BAI Yang4, ZHANG Yuhai4
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1.Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education, Northeast Electric Power University, Jilin 132012, China;2.Zhangjiakou Power Supply Company of State Grid Jibei Electric Power Co.,Ltd.,Zhangjiakou 075000, China;3.Chengde Power Supply Company of State Grid Jibei Electric Power Co.,Ltd.,Chengde 067000, China;4.Jilin Power Supply Company of State Grid Jilin Electric Power Co.,Ltd.,Jilin 132000, China
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| Abstract: |
| The traditional heating means take cogeneration units as the main heat sources. Because the cogeneration units have the electrothermal coupling characteristics, so the thermoelectric load mismatch may occur during the operation. In order to solve this problem, a heating method involving the central heating and regional thermal compensation system is proposed. As for the condition of grey water production on the user side, forecasting the grey water production activities, quantifying the estimated recoverable heat energy, and combined the residual heat of the solar power station as the supplements of central heating source. The operation optimization model of regional thermal compensation system is built according to the thermal load characteristics on the user side and the heating characteristics of the solar power station and thermal reflux system, and the regulation strategy of system model is formulated by using the model predictive control method. Finally, the examples are set for simulation comparison, and the results show that the proposed regulation strategy can recycle and use the original wasted heating power, achieve the heating target while ensuring the economy and environmental of system. |
| Key words: central heating energy reflux regional thermal compensation system grey water load forecasting thermoelectric load mismatch |
