引用本文:董超,张彦涛,刘嘉宁,吴炳祥.考虑火电机组深度调峰的实时发电计划模型及应用[J].电力自动化设备,2019,39(3):
DONG Chao,ZHANG Yantao,LIU Jianing,WU Bingxiang.Real-time generation scheduling model and its application considering deep peak regulation of thermal power units[J].Electric Power Automation Equipment,2019,39(3):
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考虑火电机组深度调峰的实时发电计划模型及应用
董超1,2, 张彦涛3,4, 刘嘉宁1, 吴炳祥3,4
1.广东电网有限责任公司电力调度控制中心,广东 广州510600;2.广东电网有限责任公司安全经济运行与市场化调度重点实验室,广东 广州510600;3.南瑞集团公司(国网电力科学研究院),江苏 南京211106;4.国电南瑞科技股份有限公司,江苏 南京210061
摘要:
伴随我国大规模新能源接入和用电峰谷差日趋增大,调峰需求逐步提升,而由于我国电源结构不尽合理,调峰电源紧缺,造成电网调峰困难。深度挖掘火电机组深度调峰能力,分析其运行特性,在常规优化模型的基础上,引入深度调峰出力平稳段运行时间、最小深度调峰时间等约束,并对机组最大最小出力、爬坡等常规约束进行改进,建立考虑火电机组深度调峰的实时发电计划优化模型。采用广东电网实际运行数据进行算例分析,结果满足电网实际运行需求。
关键词:  火电机组  实时发电计划  深度调峰  最小深度调峰时间  平稳性
DOI:10.16081/j.issn.1006-6047.2019.03.017
分类号:TM761;TM611
基金项目:国家自然科学基金资助项目(51477121);中国南方电网有限责任公司重大科技项目(036000KK52160011)
Real-time generation scheduling model and its application considering deep peak regulation of thermal power units
DONG Chao1,2, ZHANG Yantao3,4, LIU Jianing1, WU Bingxiang3,4
1.Electric Power Dispatching & Control Center of Guangdong Power Grid, Guangzhou 510600, China;2.Key Laboratory of Safety, Economic Operation and Market Operation of Guangdong Power Grid, Guangzhou 510600, China;3.NARI Group Corporation(State Grid Electric Power Research Institute),Nanjing 211106, China;4.NARI Technology Co.,Ltd.,Nanjing 210061, China
Abstract:
The demand of peak regulation is gradually growing along with the access of large-scale renewable energy and the gradual increase of electricity peak-valley difference, while the power source for peak regulation is insufficient due to the unreasonable power source structure in China, which causes difficulties in peak regulation of power grid. The deep peak regulation ability of thermal power units is deeply excavated, and their operation characteristics are analyzed. On the basis of conventional optimization model, the constraints such as operation time in stationary segment of deep peak regulation output and minimum deep peak regulation time are introduced, the conventional constraints such as maximum and minimum unit output and ramping are improved, and an optimal real-time generation scheduling model with the consideration of deep peak regulation of thermal power units is built. The practical operation data of Guangdong Power Grid is used for case analysis, and the results meet the requirement of practical power grid operation.
Key words:  thermal power units  real-time generation scheduling  deep peak regulation  minimum deep peak regulation time  smoothness

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