| 引用本文: | 应益强,王正风,吴旭,付蓉,徐俊.计及新能源随机特性的电网深度调峰多目标策略[J].电力系统保护与控制,2020,48(6):34-42.[点击复制] |
| YING Yiqiang,WANG Zhengfeng,WU Xu,FU Rong,XU Jun.Multi-objective strategy for deep peak shaving of power grid considering uncertainty of new energy[J].Power System Protection and Control,2020,48(6):34-42[点击复制] |
|
| 摘要: |
| 在规模化新能源并网消纳趋势下，电网新能源的出力随机特性和系统调峰裕度亟需兼顾研究。首先根据非参数估计理论对新能源出力的随机特性进行处理。其次基于火电调峰机组的深度调峰过程对机组的运行费用进行分析建模。接着构建综合考虑电网深度调峰运行经济性和调峰灵活性的多目标优化调度模型，提出考虑新能源出力随机特性的多目标电网深度调峰运行优化调度策略。最后基于多目标求解方法分别以10台火电机组电力系统和某地区实际电网运行数据进行仿真计算，分析该多目标调度策略的有效性。 |
| 关键词: 新能源消纳 随机特性 深度调峰 多目标 |
| DOI：10.19783/j.cnki.pspc.190597 |
| 投稿时间：2019-05-25修订日期：2019-08-06 |
| 基金项目:国家自然科学基金重点项目资助(61633016);国网安徽省电力有限公司项目资助(新能源消纳与燃煤机组调峰的协同关键技术研究) |
|
| Multi-objective strategy for deep peak shaving of power grid considering uncertainty of new energy |
| YING Yiqiang,WANG Zhengfeng,WU Xu,FU Rong,XU Jun |
| (Nanjing University of Posts and Telecommunications, Nanjing 210023, China;Control Center of State Grid Anhui Electric Power Co., Ltd., Hefei 230061, China) |
| Abstract: |
| Under the trend of large-scale new energy grid-connected consumption, the random characteristics of power grid new power generation and system peaking margin need to be considered. Firstly, according to the non-parametric estimation theory, the stochastic characteristics of the new energy output are processed. Secondly, based on the deep peak-shaving process of the thermal power peak-shaving unit, the operating cost of the unit is analyzed and modeled. Then, a multi-objective optimal scheduling model considering the economic stability and peak shaving flexibility of the power grid is constructed, and the multi-objective power grid deep peaking operation optimization scheduling strategy considering the stochastic characteristics of the new energy output is proposed. Finally, based on the multi-objective solution method, the power system of 10 thermal power units and the actual grid operation data of a certain area are simulated and analyzed, and the effectiveness of the multi-objective scheduling strategy is analyzed. This work is supported by National Natural Science Foundation of China (No. 61633016) and Project of State Grid Anhui Electric Power Company Ltd. (Key Technologies Research of Corporation of New Energy Consumption and Coal-fired Unit Peak Regulation). |
| Key words: new energy consumption random characteristics deep peak shaving multi-target |
