| 引用本文: | 郭永明,李仲昌,尤小虎,等.计及备用容量优化配置的风火联合随机经济调度模型[J].电力系统保护与控制,2016,44(24):31-36.[点击复制] |
| GUO Yongming,LI Zhongchang,YOU Xiaohu,et al.Stochastic economic dispatch model for joint delivery of wind power and thermal power generation system considering optimal scheduling of reserve capacity[J].Power System Protection and Control,2016,44(24):31-36[点击复制] |
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| 摘要: |
| 风电的随机波动性对电力系统的安全造成了严重的影响，备用容量能够起到降低风电入网风险的作用。在风电全额入网的前提下，考虑风速和负荷预测误差的概率特点，以置信水平确定旋转备用需求，以最大负荷的10%确定事故备用需求，在此基础上采用bootstrap抽样法，提高置信区间的估算精确度。将发电成本与备用成本计入目标函数，建立风电和火电联合运行的随机经济调度模型，并对模型中整数变量进行处理，以降低求解难度。通过算例求解，分析了不同时段各机组承担的发电和备用任务情况，以及不同置信水平下的经济性。 |
| 关键词: 备用容量 随机优化 经济调度 置信区间 Bootstrap抽样 |
| DOI：10.7667/PSPC152107 |
| 投稿时间：2015-12-03修订日期：2016-03-08 |
| 基金项目: |
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| Stochastic economic dispatch model for joint delivery of wind power and thermal power generation system considering optimal scheduling of reserve capacity |
| GUO Yongming,LI Zhongchang,YOU Xiaohu,LIU Guanqi,ZHENG Jie |
(School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China
;The Fifth Exploit Factory of Petrochina Huabei Oilfield Company, Xinji 052360, China) |
| Abstract: |
| The randomicity of wind power caused serious influence on safe operation of power system, and the spare capacity is deemed as an effective way to reduce risk produced by wind power. On the premise of complete acceptance of wind power, the probability characteristic of wind speed and load are taken into consideration to count spinning reserve capacity under a certain confidence level and the reserve capacity for accident is counted by 10 percent of maximum load. Moreover, Bootstrap test is used to transform the chance constraints into deterministic ones to improve precision. Generating and reserve cost are added to objective function, the stochastic optimization model for combined wind and thermal power system is built. And furthermore, integer variable is simplified to reduce the degree of model solving difficulty. Finally, the allocation of generation and reserve tasks among thermal power plants and economy under different confidence levels are analyzed. |
| Key words: reserve capacity stochastic optimization economic dispatch confidence intervals Bootstrap sampling |
