Incorporating Operational Uncertainties into the Dispatch of an Integrated Solar and Storage System

Conference · Wed Mar 22 00:00:00 EDT 2023

DOI:https://doi.org/10.1109/ISGT51731.2023.10066460· OSTI ID:1971351

Ma, Xu ^[1]; Wu, Di ^[1]; Crawford, Aladsair J. ^[1]

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1. BATTELLE (PACIFIC NW LAB)

The economic assessment of hybrid energy systems (HES) pairing battery energy storage systems (BESSs) and photovoltaics (PV) is highly important for advancing their deployment in power systems. This paper presents an innovative assessment framework, including an optimal control policy for dispatch under uncertainty and procedures for exploring control parameters that maximize economic benefits. The proposed dispatch policy consists of two steps using system forecast information. The first step is to determine whether a BESS will be used within an operational scheduling time frame based on the probability of events and their thresholds. Once the dispatch of BESS is triggered, a model predictive control (MPC) is carried out in the second step for scheduling using the expected value of system information. By exercising this policy with different thresholds, one can explore the trade-offs between short-term benefits and battery lifetime, and identify an optimal threshold that maximizes the total economic benefits within the battery lifetime. An evaluation study in a real-world HES project is presented to illustrate the proposed framework. Compared with traditional optimal dispatch algorithms, the proposed method can significantly improve the economic benefits of an HES scheduled under forecast uncertainties.

• Research Organization: Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
• Sponsoring Organization: USDOE
• DOE Contract Number: AC05-76RL01830
• OSTI ID: 1971351
• Report Number(s): PNNL-SA-177048
• Country of Publication: United States
• Language: English