Congestion Risk-Averse Stochastic Unit Commitment with Transmission Reserves in Wind-Thermal Power Systems

Abstract

The great proliferation of wind power generation has brought about great challenges to power system operations. To mitigate the ramifications of wind power uncertainty on operational reliability, predictive scheduling of generation and transmission resources is required in the day-ahead and real-time markets. In this regard, this paper presents a risk-averse stochastic unit commitment model that incorporates transmission reserves to flexibly manage uncertainty-induced congestion. In this two-settlement market framework, the key statistical features of line flows are extracted using a high-dimensional probabilistic collocation method in the real-time dispatch, for which the spatial correlation between wind farms is also considered. These features are then used to quantify transmission reserve requirements in the transmission constraints at the day-ahead stage. Comparative studies on the IEEE 57-bus system demonstrate that the proposed method outperforms the conventional unit commitment (UC) to enhance the system reliability with wind power integration while leading to more cost-effective operations.

Special Issue on “Wind Energy Conversion Systems”

“…The proposed method has been applied to the case study of a power system with large-scale penetration of wind power plants. The paper "Congestion Risk-Averse Stochastic Unit Commitment with Transmission Reserves in Wind-Thermal Power Systems" [14] presents a risk-averse stochastic unit commitment model considering transmission reserves to flexibly manage uncertainty-induced congestion. The key statistical features of line flows and the spatial correlation between wind farms have been taken into account.…”

Prosumer‐centric energy storage system and high voltage distribution network topology Co‐optimisation for urban grid congestion management

“…The research study in Ref. [9] presents a risk-averse stochastic unit commitment model that incorporates transmission reserves to flexibly manage uncertainty-induced congestion, considering the integration of the wind farms. The research study in Ref.…”

Congestion Identification and Expansion Planning Methods of Transmission System Considering Wind Power and TCSC

“…With the widely development of wind power generation over the world, the large-scale integration of wind power into power systems may cause transmission congestion [1]. The output of wind power has great uncertainty [2], which increases the complexity of expansion planning to alleviate transmission congestion.…”