EECS Research Publications
Permanent URI for this collection
Browse
Recent Submissions
Item Single-satellite EMI geolocation via flexibly constrained UKF exploiting doppler acceleration(Institute of Electrical and Electronics Engineers Inc., 2024-10-29) Ding, Yanwu; Minkler, Chaz; Zhang, Yimin D.; Shen, Dan; Pham, KhanSingle-satellite geolocation achieves effective localization of ground electromagnetic interference (EMI) signals with a low cost compared to the multi-satellite counterparts. In such systems, the Doppler and Doppler rate are commonly exploited to extract the information of the ground EMI sources and the constrained Unscented Kalman filter (cUKF) is found effective to provide instantaneous EMI locations over time. In this letter, we address the benefit of exploiting Doppler acceleration in the underlying single-satellite geolocation problem, and point out that exploiting additional constraint on the altitude of the ground emitter provides enhanced EMI tracking performance. The importance of such constraint is more pronounced in the beginning of the tracking process, whereas removing such constraint after a short period of time does not compromise the performance. The effect of sampling rates on performance and the required time to converge are investigated © 1994-2012 IEEE.Item Equity impacts of solar system investment in rural areas(IEEE Computer Society, 2024-10-04) Peterson, Mary; Rajendran, Sarangan; Bataduvaarachchi, Nirasha; Alexander, Demy; O'Reilly, Olivia; Melagoda, Adithya; Manoharan Arun-Kaarthick Aravinthan V., Tamimi A., Yokley C.Increasing investment in renewable resources is raising important questions about how to equitably share the costs and benefits of such investments. It is essential for utilities and communities to evaluate how their renewables investments impact customers, including energy cost changes and grid adequacy support. For shared solar investments, this work develops an equity index that incorporates energy cost increases and resulting grid support during scarcity scenarios. A solar investment is modeled for two Midwestern manufacturing towns at different income levels. Using the developed metric, it is determined that energy cost increases from a solar investment may inequitably impact lower-income households, but that the investment results in improved grid support. © 2024 IEEE.Item Locational value of distributed energy resources for mitigating high impact events: A case study based on midwest USA(IEEE Computer Society, 2024-10-04) Rajendran, Sarangan; Melagoda, Adithya; Shanthanam, Sangar; Bataduvaarachchi, Nirasha; Manoharan, Arun-Kaarthick; Aravinthan, Visvakumar; Yogarathinam, Amirthagunaraj; Tamimi, Al; Yokely, CharlesDistributed Energy Resources (DER) aid to an electrical grid in more implicit ways beyond just supplying of power. During High Impact (HI) events caused by weather disruptions, when the grid is in a reduced state of operation, significant presence of DERs has been found to mitigate further impacts to the system. Grid operators who benefit from having DERs in their system save on system recovery costs that can be redirected back to the prosumers who contribute through DER. In this work, a methodology is introduced to value the ancillary benefits provided by the DERs during a HI event, that can be used to compensate the prosumers. The proposed method is tested on a test system with high wind energy generation, where rooftop solar PV acts as the DER, and the validity of the results are explored. The method is further expanded to include all probable variations of HI events and quantify the value of a location acting as a DER host. © 2024 IEEE.Item Minitrack on distributed, renewable and mobile resources(IEEE Computer Society, 2024) Blumsack, Seth; Jewell, Ward T.; Cardell, Judy; Smith, J. CharlesItem Dynamic Charge Scheduling of Solar PV-Storage Hybrid Resources Based on Solar-Load Correlation(Institute of Electrical and Electronics Engineers Inc., 2023-10) Rajendran, Sarangan; Liu, Esther; Peterson, Mary; Aravinthan, Visvakumar; Tamimi, Al; Yokley, Charles R.Solar PV-storage hybrid resources are an attractive way of reducing grid dependency for project developers when collectively serving small communities. A well-structured charging schedule of the battery storage can improve the effectiveness of the hybrid system by reducing the grid dependency at the peak demand hours and improving the utilization of the battery. Studying the correlation between load and solar curves helps to identify periods at which short-term charging or discharging of the battery can aid to those benefits. In this paper, a dynamic charging schedule is proposed, where a nominal schedule is created based on full day forecasting of load and solar output, and further adjustments are made to the schedule based on the hourly expected correlation between load and solar curves. The proposed method is then tested on a test system based on actual data for a period of one year. The results show that the proposed approach can reduce the maximum power import from the grid, overall cost of imports and improve the battery utilization.