引用本文:姜 楠,戴 赛,许 丹,等.计及机组组合与线路重构协同的电热联合系统消纳弃风研究[J].电力系统保护与控制,2022,50(14):105-113.
JIANG Nan,DAI Sai,XU Dan,et al.Wind power consumption in a CHP system considering the collaboration ofunit combination and line reconstruction[J].Power System Protection and Control,2022,50(14):105-113
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计及机组组合与线路重构协同的电热联合系统消纳弃风研究
姜 楠1,2,戴 赛3,许 丹3,宋柏越4,胡林献1
(1.哈尔滨工业大学电气工程及自动化学院,黑龙江 哈尔滨 150001; 2.国网江苏省电力有限公司南通供电分公司,江苏 南通 226006;3.中国电力科学研究院有限公司, 北京 100192;4.国网黑龙江电力科学研究院,黑龙江 哈尔滨 150030)
摘要:
现有文献仅以线路传输功率限制或“热电耦合”约束为单一弃风原因研究电热联合系统的消纳弃风策略,因而仅适用于消纳单种原因产生的弃风。针对这一问题,同时考虑两种弃风原因,研究进一步提高风电消纳的调度策略,提出了一种计及电网线路重构的直流潮流改进算法。在此基础上构建了考虑优化机组组合与线路重构的电热联合系统源网协同调度模型。通过实例仿真,验证了该模型能够根据弃风量大小和弃风原因的不同,通过机组出力优化、机组组合和输电线路重构3种策略的合理选取或组合,同时消纳由两种原因引起的弃风。并且该模型能够在不新增投资的情况下,实现风电消纳最大化。
关键词:  电热联合系统  源网协同  线路重构  直流潮流法  风电消纳
DOI:DOI: 10.19783/j.cnki.pspc.211132
分类号:
基金项目:国家自然科学基金项目资助(51877049)
Wind power consumption in a CHP system considering the collaboration ofunit combination and line reconstruction
JIANG Nan1, 2, DAI Sai3, XU Dan3, SONG Baiyue4, HU Linxian1
(1. School of Electrical Engineering & Automation, Harbin Institute of Technology, Harbin 150001, China; 2. Nantong Electric Power Supply Company, State Grid Jiangsu Electric Power Company Limited, Nantong 226006, China; 3. China Electric Power Research Institute, Beijing 100192, China; 4. State Grid Heilongjiang Electric Power Research Institute, Harbin 150030, China)
Abstract:
Existing studies only analyze the consumption measures in a CHP system from a single aspect, namely the CHP units’ "thermo-electric coupling" and power network safety constraints. Therefore, these strategies are only applicable to the curtailed wind power caused by a single reason. This present a problem, and this paper studies the dispatch strategy of consuming curtailed wind power taking into account two reasons at the same time. It proposes an improved DC power flow algorithm considering line reconstruction. Based on the algorithm, a source-grid collaboration dispatch model including unit combination and line reconstruction in a CHP system is established. A case study shows that through a reasonable choice or combination of three strategies i.e. unit output optimization, unit combination and line reconstruction, the model can reduce curtailed wind power caused by those two reasons depending on the amount and the reason for the wind power curtailment. It can also achieve maximum wind power consumption without new investment. This work is supported by the National Natural Science Foundation of China (No. 51877049).
Key words:  combined heat and power system  source-grid collaboration  line reconstruction  DC power flow algorithm  wind power consumption
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