Using Interim Recommitment to Reduce the Operational-cost Impacts of Wind Uncertainty

Abstract

Using wind-availability forecasts in day-ahead unit commitment can require expensive real-time operational adjustments. We examine the benefit of conducting interim recommitment between day-ahead unit commitment and real-time dispatch. Using a simple stylized example and a case study that is based on ISO New England, we compare system-operation costs with and without interim recommitment. We find an important tradeoff-later recommitment provides better wind-availability forecasts, but the system has less flexibility due to operating constraints. Of the time windows that we examine, hour-20 recommitment provides the greatest operational-cost reduction.

Two-stage data-driven dispatch for integrated power and natural gas systems by using stochastic model predictive control

“…In uncertain dispatch, the dayahead prediction results of wind power are considered completely accurate, and the prediction errors of renewable energy are neglected. It is assumed that all wind power can be utilized easily, resulting in high adjustment costs and actual operation costs due to the stochastic prediction errors of renewable energy [9].…”

“…However, the uncertain and changeable weather conditions make it impossible to obtain completely perfect and accurate prediction data in advance, making prediction errors of renewable energy and load common and inevitable [9,10]. The dispatch results of an IPGS with inaccurate prediction data can be inconsistent with the actual situation, which can easily lead to economic and security problems.…”

“…However, the actual output of the wind power and solar power, and the load value are regarded as deterministic, and the rolling updated ultra-short-term forecasting data is input into the energy management system to handle the uncertainty [12]. The rollinghorizon approach is used to alleviate the power deficit because of the wind power, but its operation and adjustment costs are still large [9].…”

Adapting to climate change: Long-term impact of wind resource changes on China's power system resilience

“…Yet, wind energy exhibits unique characteristics [30]. Its pronounced intermittency and variability [31,32] can induce both high-probability, low-impact (HPLI) and low-probability, high-impact (LPHI) events [2], such as fluctuating wind power outputs [33] and extreme events like hurricanes [34], respectively, which can compromise the stability of power system operations [35], e.g., decreasing power system performance and even leading to blackouts [36].…”