Dynamic AGC Units’ Dispatching Based On Loss Sensitivity Identification with the Consideration of Wind Energy
- Shuang Zhang, Jingyi Zhang, Xuehong Yang, Hongqiang Li, Feng Gao, Chao Lu
- Corresponding Author
- Shuang Zhang
Available Online October 2015.
- https://doi.org/10.2991/seee-15.2015.1How to use a DOI?
- ramping capacity; loss sensitivity; sustainable energy; AGC optimal dispatch; on-line identification
- the emergence of high penetration of sustainable energy in the power system has increased the demand for faster-ramping units participating in the frequency regulation service. To fulfill the automatic generation control (AGC) and compensate the influence of sustainable energy fluctuations simultaneously, ramping capacity should be considered in the AGC dispatching model. Meanwhile, conventional dispatching model did not consider the impact of transmission loss, or relied on offline network model and parameters, failing to reflect the actual relationships between the sustainable energy units and conventional generators. In this paper, an online approach is proposed for AGC units’ dispatching considering the above issues. First, the power loss sensitivity is online identified using recursive least square (RLS) method based on the real-time data of phasor measurement units (PMUs), setting up power balance constraint and contributing to a more accurate dispatch model. Then, we propose a dynamic optimization model of dispatch, which establishes a connection between the conventional units with fast ramping capacity and the sustainable energy farms with rapid fluctuations. The proposed identification method and optimization model are simulated in the IEEE-9 bus system, and the results verify their validity and feasibility.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Shuang Zhang AU - Jingyi Zhang AU - Xuehong Yang AU - Hongqiang Li AU - Feng Gao AU - Chao Lu PY - 2015/10 DA - 2015/10 TI - Dynamic AGC Units’ Dispatching Based On Loss Sensitivity Identification with the Consideration of Wind Energy BT - 2015 International Conference on Sustainable Energy and Environmental Engineering PB - Atlantis Press SN - 2352-5401 UR - https://doi.org/10.2991/seee-15.2015.1 DO - https://doi.org/10.2991/seee-15.2015.1 ID - Zhang2015/10 ER -