| 引用本文: | 邓强,詹红霞,杨孝华,张曦,梅哲.考虑风电不确定性和大用户直购电的电力系统经济调度[J].电力系统保护与控制,2019,47(14):131-139.[点击复制] |
| DENG Qiang,ZHAN Hongxia,YANG Xiaohua,ZHANG Xi,MEI Zhe.Power system economic dispatching considering the uncertainty of wind power and large consumers direct purchasing[J].Power System Protection and Control,2019,47(14):131-139[点击复制] |
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| 摘要: |
| 由于目前的风电预测方法仍不能将误差降低到可以忽略的范围，使得风电接入时增大了系统的不确定性，调度难度增大。同时，大用户直购电作为电力市场改革的重要措施，其引入对系统调度带来了新的挑战。针对以上情况，建立了考虑风电不确定性和大用户直购电的电力系统调度模型。模型在满足电力系统安全运行的基础上以发电企业收益最高为目标，利用风电出力的Beta概率密度函数来考虑由于风电不确定性带来的上、下旋转备用需求的增加，采用机会约束规划处理模型中的不确定因素。最后运用改进粒子群算法在含风电场的IEEE 30节点系统上验证了所建模型的有效性。 |
| 关键词: 风电 大用户直购电 经济调度 旋转备用 机会约束规划 |
| DOI：10.7667/PSPC20191417 |
| 投稿时间：2018-08-29修订日期：2018-10-19 |
| 基金项目:四川省教育厅科研基金项目资助(18ZB0566) |
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| Power system economic dispatching considering the uncertainty of wind power and large consumers direct purchasing |
| DENG Qiang,ZHAN Hongxia,YANG Xiaohua,ZHANG Xi,MEI Zhe |
| (School of Electrical Engineering and Electronic Information, Xihua University, Chengdu 610039, China;Yunyang Power Supply Company of State Grid Chongqing Electric Power Company, Chongqing 404500, China;Nan’an Power Supply Company of State Grid Chongqing Electric Power Company, Chongqing 400060, China) |
| Abstract: |
| The existing wind power forecasting methods can not reduce the error to a negligible range. The integration of wind power will increase the uncertainty of power system, which may lead to difficulty of power system dispatching. And, as an important measure of electric power market reform, the introduction of large consumers direct purchasing has brought new challenges to power system dispatching. Therefore, a power system economic dispatching model considering the uncertainty of wind power and large consumers direct purchasing is established in this paper. The model aims to maximize the profit of power generation system based on the safe operation of power system. Beta probability function is presented to consider the increase of the upper and lower spinning reserve demand caused by the uncertainty of the wind power. Similarly, the chance constrained programming is used to deal with the uncertain factors in the model. Finally, the particle swarm optimization algorithm is improved to verify the validity of the model in the IEEE 30 system with wind power. This work is supported by Scientific Research Fund of Sichuan Provincial Education Department (No. 18ZB0566). |
| Key words: wind power large consumers direct purchasing economic dispatching spinning reserve chance constrained programming |
