A dual timescale active power coordinated scheduling framework for wind integrated power system in the presence of storage and wind forecast uncertainties

Jiang, Ping; Huo, Yuchong; Xi, Wu

doi:10.1002/etep.2205

Cited by 5 publications

(2 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this regard, ES technology is required to inject power to the network in time frame of several minutes to some hours 19 . The impact of ES devices on operational flexibility under intermittent resources in real‐time operation is investigated in Refs 20,21 …”

Section: Introductionmentioning

confidence: 99%

Stochastic very short‐term economic dispatch for wind power operation using flexible ramp reserve

Nadermahmoudi

Amraee

Oskouee

2020

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

Summary Uncertainty of renewable generation is a major challenge in power system operation. Without scheduling enough fast reserves, the load shedding or wind curtailments are expected under rapid deviations of renewable generation. Therefore, the flexible ramp (FR) reserves are scheduled in short‐term horizons to compensate the uncertainties of renewable resources and load demand. In this paper, a very short‐term economic dispatch (ED) model is developed to handle the wind and load uncertainties using FR reserve. FR products refer to rapid 10‐minute spinning reserves that are provided by the fast‐response generating units and energy storage (ES) devices to handle the load and wind uncertainties in both upward and downward directions. The proposed model minimizes the costs of generation, contingency reserve, FR reserves, and charging of battery ES. Technical constraints of generating units and the transmission network limits are considered. The future scheduling hour is divided into six 10‐minute intervals and the generation levels and required reserves are optimized for the subsequent receding 10‐minute intervals. Point estimate (PE) method is utilized to reduce the wind generation and load uncertainty scenarios. The efficacy of PE method is compared with Monte Carlo technique. In addition to credible scenarios of wind and load uncertainties, some regional worst‐case scenarios are considered in each electric area to minimize the amount of FR underestimation. The proposed ED model is formulated as a stochastic mixed integer linear programming (MILP) model that is solved using CPLEX algorithm in GAMS for the IEEE 118‐bus and 300‐bus test systems.

show abstract

Section: Introductionmentioning

confidence: 99%

Stochastic very short‐term economic dispatch for wind power operation using flexible ramp reserve

Nadermahmoudi

Amraee

Oskouee

2020

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

show abstract

“…Attempts are being made to reduce operational complexity and associated forecasting errors arising out of considering three different forecasts of load, wind and solar, by consideration of net load forecast and forecasting errors by power markets [6,10,18,31]. In such markets, system operations such as economic dispatch [16,22] and generation ramping requirement estimations [8,29,30] are planned based on net load forecasts. Even though accurate net load forecasts are vital in modern power system operational planning, it secured little research attention [6,10,18,27,31].…”

Section: Introductionmentioning

confidence: 99%

Grey System Theory Based Net Load Forecasting for High Renewable Penetrated Power Systems

Sreekumar

Sharma

Bhakar

2020

Technol Econ Smart Grids Sustain Energy

View full text Add to dashboard Cite

Net-load is the imbalance between aggregated load and renewable generation. System operations like economic dispatch necessitate accurate forecasting of net-load. There has been significant progress in load and renewable generation forecasting, however, little research focus has been there on Net-Load Forecasting (NLF). Therefore, this paper proposes three Direct Grey index net-load forecasting models (DGM (1, 1), DGM (1, 2) and DGM (1, 3)) using Grey System Theory (GST). GST based models are suitable for accurate and fast very short-term (five minutes ahead) forecasting due to their momentum transfer behavior. Proposed NLF models are implemented for the Bonneville Power Administration (BPA) balancing area. Forecasts obtained from proposed models are compared with actual net load data and forecasts obtained from reference Artificial Neural Network (ANN) model. Comparison with actual net load shows that proposed models have strong potential for very short-term NLF. At very short time frames, net load shows a very high correlation with previous time steps data. Proposed models utilize such characteristics for forecasting, compared to continuous error reduction procedure in ANN. Continuous error reduction in a very short time frame can lead to under/overestimation of ANN weights and that lowers the forecasting accuracy. Proposed NLF models, especially DGM (1, 3) show superior performance over ANN.

show abstract

Stochastic real-time dispatch considering AGC and electric-gas dynamic interaction: Fine-grained modeling and noniterative decentralized solutions

Zhao,

Li,

Bai

et al. 2024

Applied Energy

View full text Add to dashboard Cite

A dual timescale active power coordinated scheduling framework for wind integrated power system in the presence of storage and wind forecast uncertainties

Cited by 5 publications

References 29 publications

Stochastic very short‐term economic dispatch for wind power operation using flexible ramp reserve

Stochastic very short‐term economic dispatch for wind power operation using flexible ramp reserve

Grey System Theory Based Net Load Forecasting for High Renewable Penetrated Power Systems

Stochastic real-time dispatch considering AGC and electric-gas dynamic interaction: Fine-grained modeling and noniterative decentralized solutions

Contact Info

Product

Resources

About