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Members: FreePES
IEEE Members: $25.00
Non-members: $40.00Pages/Slides: 50
Panel
12 Sep 2022
This panel session contains the following presentations:
1. How Important are Socioeconomic Factors for Hurricane Performance of Power Systems? An Analysis of Disparities Through Machine Learning
This paper investigates whether socioeconomic factors are important for the hurricane performance of the electric power system in Florida. The investigation is performed using the Random Forest classifier with Mean Decrease of Accuracy (MDA) for measuring the importance of a set of factors that include hazard intensity, time to recovery from maximum impact, and socioeconomic characteristics of the affected population. The data set (at county scale) for this study includes socioeconomic variables from the 5-year American Community Survey (ACS), as well as wind velocities, and outage data of five hurricanes including Alberto and Michael in 2018, Dorian in 2019, and Eta and Isaias in 2020. The study shows that socioeconomic variables are considerably important for the system performance model. This indicates that social disparities may exist in the occurrence of power outages, which directly impact the resilience of communities and thus require immediate attention.
2. Residual Capacity Estimation for Battery Energy Storage of Micro Grid with an Adaptive Coulomb-Counting Method
This study is to estimate residual capacity in battery energy storage systems (BESSs) based on model-based design and Coulomb-counting method. In light of continuous growth in renewable energy applications such as photovoltaic power, wind power and of demand spare capacity in this domain, BESSs have become a widely applied technique for its high peak shaving and valley filling service. To maintain the balance of momentary energy within the micro-grid, the auxiliary reserve services have to frequently absorb and approach power flow. In particular, the BESSs have been depicting a lot of prospect due to sustainable development, low-carbon footprint, return of investment, and energy trading market. Therefore, how to approach the power quality problems of distributed energy under the safe and stable operation can play the significant role to sustain the reliability of power supply. This paper presents unique approaches to deriving adaptive Coulomb counting controller in terms of state of charge tracking control laws, on which state of charge tracking and residual power estimation can be achieved. Simulation results obtained from a 336 watt-hours BESS have verified the analysis and discussion.
1. How Important are Socioeconomic Factors for Hurricane Performance of Power Systems? An Analysis of Disparities Through Machine Learning
This paper investigates whether socioeconomic factors are important for the hurricane performance of the electric power system in Florida. The investigation is performed using the Random Forest classifier with Mean Decrease of Accuracy (MDA) for measuring the importance of a set of factors that include hazard intensity, time to recovery from maximum impact, and socioeconomic characteristics of the affected population. The data set (at county scale) for this study includes socioeconomic variables from the 5-year American Community Survey (ACS), as well as wind velocities, and outage data of five hurricanes including Alberto and Michael in 2018, Dorian in 2019, and Eta and Isaias in 2020. The study shows that socioeconomic variables are considerably important for the system performance model. This indicates that social disparities may exist in the occurrence of power outages, which directly impact the resilience of communities and thus require immediate attention.
2. Residual Capacity Estimation for Battery Energy Storage of Micro Grid with an Adaptive Coulomb-Counting Method
This study is to estimate residual capacity in battery energy storage systems (BESSs) based on model-based design and Coulomb-counting method. In light of continuous growth in renewable energy applications such as photovoltaic power, wind power and of demand spare capacity in this domain, BESSs have become a widely applied technique for its high peak shaving and valley filling service. To maintain the balance of momentary energy within the micro-grid, the auxiliary reserve services have to frequently absorb and approach power flow. In particular, the BESSs have been depicting a lot of prospect due to sustainable development, low-carbon footprint, return of investment, and energy trading market. Therefore, how to approach the power quality problems of distributed energy under the safe and stable operation can play the significant role to sustain the reliability of power supply. This paper presents unique approaches to deriving adaptive Coulomb counting controller in terms of state of charge tracking control laws, on which state of charge tracking and residual power estimation can be achieved. Simulation results obtained from a 336 watt-hours BESS have verified the analysis and discussion.
Chairs:
Karmila Kamil
