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

Yu Huang,Qingshan Xu,Guang Lin

doi:10.3390/app8101726

Yu Huang, Qingshan Xu + Show 1 more

Open Access

https://doi.org/10.3390/app8101726

Copy DOI

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.

Highlights

The emerging trend of wind power integration into bulk power systems has raised great concern worldwide over the past decade [1]
unit commitment (UC), we can see that a portion of the total with Equation (13) as in the conventional UC, we can see that a portion of the totaltransmission transmission capacity, defined as aas newa concept of predictive transmission reserves, isreserves, maintained consideringby capacity, defined new concept of predictive transmission is by maintained the risk of wind power uncertainty-induced congestion
We present a congestion risk-averse stochastic unit commitment model with transmission reserves to hedge against uncertainty and variability induced by wind generation

Summary

Introduction

The emerging trend of wind power integration into bulk power systems has raised great concern worldwide over the past decade [1]. Wind generation is regarded as an eco-friendly energy resource with zero marginal cost, the uncertain and intermittent nature of wind power has posed grand challenges to utility operators in terms of keeping the system reliable and cost-effective [2]. The network under high wind penetration is prone to congestion issues, i.e., large fluctuations of line flows due to inherent wind power uncertainty, making it difficult to promote the deployment of wind energy in the grid. The undesired consequences of congestion such as generation reserve undeliverability, wind curtailment, and load shedding would add extra operational costs, diminish security margins, or even further demoralize investment in the wind industry. There is a need for methods that allow an effective utilization of the increasing.

Methods

Findings

Discussion

Conclusion