| 引用本文: | 叶鹤林,刘 松,胡 剑,等.基于IGDT的含光热电站电力系统多源联合调度策略[J].电力系统保护与控制,2021,49(23):35-43.[点击复制] |
| YE Helin,LIU Song,HU Jian,et al.Multi-source joint dispatching strategy for a power system with concentratingsolar power plants based on IGDT[J].Power System Protection and Control,2021,49(23):35-43[点击复制] |
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| 摘要: |
| 光热电站出力灵活、可调度性强，可作为调节资源参与多源联合调度，但现有调度方案缺乏考虑风电、光照功率及负荷等多参量不确定性对系统运行的影响，使得决策面临运行风险。为此，提出了一种基于信息间隙决策理论(Information Gap Decision Theory, IGDT)的多源联合调度策略。分析了光热电站运行特性及系统多源协调机理，根据风电功率、光照强度和负荷需求的不确定性特征，建立了多源联合鲁棒调度模型和机会调度模型，并给出了整体调度策略流程。通过调整模型的水平因子值，可实现不同风险下的多源联合优化调度决策。算例结果表明，该策略能充分量化不确定性因素对调度运行的影响，提升系统运行的经济性。 |
| 关键词: 光热发电 不确定性 信息间隙决策 多源联合调度 |
| DOI：DOI: 10.19783/j.cnki.pspc.202114 |
| 投稿时间：2021-03-31修订日期：2021-08-25 |
| 基金项目:国家电网公司科技项目资助(5218E020000W)；中央高校基本科研业务费专项资助(SWU119039)；重庆市自然科学基金面上项目资助(cstc2020jcyj-msxmX0590) |
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| Multi-source joint dispatching strategy for a power system with concentratingsolar power plants based on IGDT |
| YE Helin,LIU Song,HU Jian,XIONG Xiaofu,TAN Ying |
| (1. Pingxiang Power Supply Branch, State Grid Jiangxi Electric Power Co., Ltd., Pingxiang 337000, China; 2. College of
Engineering and Technology, Southwest University, Chongqing 400715, China; 3. State Key Laboratory of
Power Transmission Equipment & System Security and New Technology, Chongqing 400044, China) |
| Abstract: |
| The concentrating solar power plant can be highly flexible and easily dispatched, and can be used as a regulating resource to participate in multi-source joint dispatch. However, the existing dispatch method lacks consideration of the impact of the uncertainty of wind and solar power and load demand on power system operation. This means that any final decision faces operational risk. To this end, we propose a multi-source joint scheduling strategy for CSPP based on IGDT. The operating characteristics of the CSPP and the mechanism of multi-source coordination of the system are analyzed. Given the uncertain characteristics of wind and solar power and load demand, a robust multi-source joint scheduling model and an opportunistic scheduling model are established, and the overall scheduling strategy process is given. By adjusting the level factor value of models, the strategy can realize multi-source joint optimal scheduling decision with different risks. Case studies show that this proposed strategy can quantify the influence of uncertainty factors on dispatch and improve the economics of system operation.
This work is supported by the Science and Technology Project of State Grid Corporation of China (No. 5218E020000W), the Fundamental Research Funds for the Central Universities (No. SWU119039) and the Natural Science Foundation of Chongqing (No. cstc2020jcyj-msxmX0590). |
| Key words: concentrating solar power uncertainty IGDT multi-source joint scheduling |
