Energies | |
Collaborative Optimal Pricing and Day-Ahead and Intra-Day Integrative Dispatch of the Active Distribution Network with Multi-Type Active Loads | |
Xiaowei Yang1  Yixin Zhuo1  Chong Chen2  Zhiheng He2  Xuan Zhou2  Zhuo Li2  Xiangning Lin2  Zhengtian Li2  Ting Wen2  Ning Tong2  | |
[1] Power Dispatching Control Center of Guangxi Power Grid, Nanning 530023, China;State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China; | |
关键词: real-time price; interruptible load; response time; demand response model; multi-type active loads; active distribution network; day-ahead; intra-day; integrative dispatch; | |
DOI : 10.3390/en11040959 | |
来源: DOAJ |
【 摘 要 】
In order to better handle the new features that emerge at both ends of supply and demand, new measures are constantly being introduced, such as demand-side management (DSM) and prediction of uncertain output and load. However, the existing DSM strategies, like real-time price (RTP), and dispatch methods are optimized separately, and response models of active loads, such as the interruptible load (IL), are still imperfect, which make it difficult for the active distribution network (ADN) to achieve global optimal operation. Therefore, to better manage active loads, the response characteristics including both the response time and the responsibility and compensation model of IL for cluster users, and the real-time demand response model for price based load, were analyzed and established. Then, a collaborative optimization strategy of RTP and optimal dispatch of ADN was proposed, which can realize an economical operation based on mutual benefit and win-win mode of supply and demand sides. Finally, the day-ahead and intra-day integrative dispatch model using different time-scale prediction data was established, which can achieve longer-term optimization while reducing the impact of prediction errors on the dispatch results. With numerical simulations, the effectiveness and superiority of the proposed strategy were verified.
【 授权许可】
Unknown