Optimizing Smart Grid Operations from the Demand Side


  • Yongqing Zheng Shanda Dareway Software Co. Ltd
  • Han Yu Nanyang Technological University
  • Yuliang Shi Shandong University
  • Kun Zhang Shanda Dareway Software Co. Ltd
  • Shuai Zhen Shanda Dareway Software Co. Ltd
  • Lizhen Cui Shandong University
  • Cyril Leung The University of British Columbia
  • Chunyan Miao Nanyang Technological University




As demand for electricity grows in China, the existing power grid is coming under increasing pressure. Expansion of power generation and delivery capacities across the country requires years of planning and construction. In the meantime, to ensure safe operation of the power grid, it is important to coordinate and optimize the demand side usage. In this paper, we report on our experience deploying an artificial intelligence (AI)–empowered demand-side management platform – the Power Intelligent Decision Support (PIDS) platform – in Shandong Province, China. It consists of three main components: 1) short-term power consumption gap prediction, 2) fine-grained Demand Response (DR) with optimal power adjustment planning, and 3) Orderly Power Utilization (OPU) recommendations to ensure stable operation while minimizing power disruptions and improving fair treatment of participating companies. PIDS has been deployed since August 2018. It is helping over 400 companies optimize their power usage through DR, while dynamically managing the OPU process for around 10,000 companies. Compared to the previous system, power outage under PIDS due to forced shutdown has been reduced from 16% to 0.56%.




How to Cite

Zheng, Y. ., Yu, H., Shi, Y., Zhang, K., Zhen, S. ., Cui, L. ., Leung, C., & Miao, C. (2021). Optimizing Smart Grid Operations from the Demand Side. AI Magazine, 42(2), 28-37. https://doi.org/10.1609/aimag.v42i2.15096



Special Topic Articles