arXiv subjects

Reza Khalilisenobari

Publications and source records attributed to Reza Khalilisenobari.

4 recordsLinked to original sources

arXiv2021

Optimal Participation of Price-maker Battery Energy Storage Systems in Energy and Ancillary Services Markets Considering Degradation Cost

This paper proposes a bi-level optimization framework to investigate the optimal market operation strategies of price-maker battery energy storage systems (BESSs) in real-time energy, spinning reserve, and pay as performance regulation markets, with a special focus on understanding BESS's excessive regulation market participation observed by several system operators and the impact of battery degradation cost on BESS market activities. An accurate battery degradation cost function is integrated into the BESS's strategic bidding model. An automatic generation control (AGC) signal dispatch model is proposed to deploy AGC signals in the bi-level framework. This enables thorough studies for BESS's operating characteristics in the frequency regulation market, when both battery degradation and detailed AGC signal following activities are considered. Case studies on a synthetic system with real-world data are performed to study interactions between BESS profit maximization and wholesale market operations, considering system annual load and ancillary service requirements variations. The impacts of BESS capacity and replacement cost on its revenue from energy and ancillary services markets are also investigated.

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arXiv2020

Impact of Battery Degradation on Market Participation of Utility-Scale Batteries: Case Studies

The recent decrease in battery manufacturing costs stimulates the market participation of utility-scale battery energy storage systems (BESSs). However, battery degradation remains a major concern for BESS owners while determining their BESS investment and operation strategies. This paper studies the impact of battery degradation on BESS's operation and revenue/cost in real-time energy, reserve, and pay as performance regulation markets. Comparative case studies are performed on two optimization frameworks which model the participation of a price-maker BESS in energy and ancillary services markets with and without considering battery degradation cost. A synthetic test system built upon real-world data is adopted in the case studies. Analyses reveal that degradation cost plays an important role in the scheduling of BESSs and should not be neglected. Several potential enhancements to the optimization frameworks are discussed based on the performed analyses.

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arXiv2020

A Novel Numerical Index for Assessing Results of Frequency Response Analysis (FRA): an Experimental Study on Electrical Machines

This paper is an effort to evaluate the numerical indices for the assessment of the frequency response analysis (FRA) to provide a deeper understanding of their characteristics. The study introduces the indices in the literature and categorizes them into two groups. The results of an actual FRA experimental setup on an electrical machine are employed to examine the indices from the various aspects. The main features of the indices are extracted, and the better ones in various aspects are marked. Moreover, based on the observations from the experimental studies, a new numerical index for comparing FRA results is proposed in this paper to enhance FRA results assessment and interpretation in both electrical machines and transformers. The advantages of the proposed index are also shown by comparing it with the existing ones.

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arXiv2020

Optimal Participation of Price-Maker Battery Energy Storage Systems (BESSs) in Energy, Reserve and Pay as Performance Regulation Markets

Motivated by the need of assessing the optimal allocation of battery energy storage services across various markets and the corresponding impact on market operations, an optimization framework is proposed in this work to coordinate the operation of an independent utility-scale price-maker battery energy storage system (BESS) in the energy, spinning reserve and performance-based regulation markets. The entire problem is formulated as a bi-level optimization process, where the structure of all markets is modeled considering the joint operation limits. The strategic bidding behavior of a price-maker BESS in a pay as performance regulation market is investigated. Additionally, a specific approach is introduced for modeling automatic generation control (AGC) signals in the optimization. Although the formulated problem is non-linear, it is converted to mixed-integer linear programming (MILP) to find the optimum solution. The proposed framework is evaluated using test case scenarios created from real-world market data. Case study results show the impact of BESS's price-making behavior on the joint operation of energy, reserve, and regulation markets.

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