| 引用本文: | 刘德顺,董海鹰,汪宁渤,马明.基于多时空尺度协调的多源互补发电场群优化调度[J].电力系统保护与控制,2019,47(12):73-83.[点击复制] |
| LIU Deshun,DONG Haiying,WANG Ningbo,MA Ming.Optimization scheduling for multi-source complementary power plants group based on multiple temporal and spatial scales coordination[J].Power System Protection and Control,2019,47(12):73-83[点击复制] |
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| 摘要: |
| 为了解决风光发电随机性和不确定性造成的严重弃风、弃光问题，在研究抽水蓄能电站、高载能负荷运行特性和消纳弃风弃光能力的基础上，提出了基于多时空尺度协调的多源互补发电场群优化调度策略。该策略将多源互补发电场群从时间和空间的角度各分三层进行控制，以系统运行成本最小、风光蓄发电利用率最大和系统输出功率波动最小为目标分别建立了日前、滚动、实时3个时间尺度的优化调度模型。通过滚动修正、实时调节来逐级降低风光预测误差及负荷不确定对调度计划的影响，提高调度精度。结合甘肃酒泉具体算例，验证了所提调度策略能够有效提高系统运行经济性，促进风光消纳。 |
| 关键词: 发电场群 抽水蓄能电站 高载能负荷 多时空尺度 多源互补 |
| DOI：10.7667/PSPC20191209 |
| 投稿时间：2018-07-25修订日期：2018-11-18 |
| 基金项目:国家自然科学基金项目资助(61663019);甘肃省重大专项资助(17ZD2GA010);国网甘肃省电力公司科技项目资助(52272716000K) |
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| Optimization scheduling for multi-source complementary power plants group based on multiple temporal and spatial scales coordination |
| LIU Deshun,DONG Haiying,WANG Ningbo,MA Ming |
| (School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China;School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China;School of New Energy and Power Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China;Wind Power Technology Center of Gansu Electric Power Company, Lanzhou 730070, China) |
| Abstract: |
| In order to solve the problems of serious wind and solar power curtailment caused by the randomness and uncertainty of wind and solar power generation. Based on the study of pumped storage power station, high load-energy load operation characteristics and the ability to eliminate wind and solar power curtailment, this paper proposes an optimization scheduling method for multi-source complementary power plants group based on multiple temporal and spatial scales coordination. This strategy controls the multi-source complementary power generation group in three layers from the perspective of time and space, respectively. In this strategy, the multi-source complementary power plants group is controlled in three layers from the perspective of time and space, respectively. From three time scales, i.e., day-ahead, rolling and real-time, the optimal scheduling models are established with the goal of the minimum operating cost, the maximum utilization of wind and solar power storage and the minimum fluctuation of output power. Through rolling correction and real-time adjustment, the wind-solar forecasting error and the influence of load uncertainty on the scheduling plan are reduced stepwise to improve the scheduling accuracy. Combining with the specific example of Jiuquan, Gansu, it is verified that the proposed scheduling strategy can improve the economics of system operation effectively and promote the consumption of wind and solar. This work is supported by National Natural Science Foundation of China (No. 61663019). |
| Key words: power plants group pumped storage power station high load-energy load multiple temporal and spatial scales multi-source complementation |
