Person:
Grijalva, Santiago

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    Assessment of Grid-Scale Energy Storage Scenarios for the Southeast: Benefits, Costs and Implications
    (Georgia Institute of Technology, 2020-03) Vejdan, Sadegh ; Grijalva, Santiago
    The objective of this project is to assess the economic benefits and system impacts for grid-scale energy storage in the Southeast region for informed investment decision-making and policy analysis. Energy storage is a dynamic field exhibiting considerable near term growth. Energy storage systems (ESS) can provide a wide range of services and benefits to the sector’s entire value chain and, are therefore becoming an attractive technology among stakeholders. The present study can prove to be of service to utilities, policy- makers, researchers and other stakeholders. Several novel optimization methodologies have been developed that can be used to evaluate the relative economic merits of ESS under a range of scenarios, input conditions, and performance parameters. The methods and approaches can be extended to include additional parameters, such as CO2 costs, CO2 emission, and welfare effects. Finally, the project provides detailed insights into the comparative economic benefits of major ESS use cases from the perspective of residential customers, large commercial customers, and utilities. The results suggest there are significant opportunities and net economic benefits from ESS systems, whether owned and operated by large customers or utilities, or jointly-operated by both. Taken together the methodologies and findings can contribute to informed investment decision-making and policy analysis in the Southeast region, and beyond.
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    South Big Data Innovation Hub 2019 All Hands Meeting - Panel 2: Visionary Projects
    (Georgia Institute of Technology, 2019-04-09) Ayalew, Mentewab ; Clifford, Gari D. ; Goel, Ashok K. ; Grijalva, Santiago ; Muller-Karger, Frank ; Verdi, John
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    Overcoming Communication Delays in Distributed Frequency Regulation
    (Georgia Institute of Technology, 2016-07) Ramachandran, Thiagarajan ; Nazari, Masoud H. ; Grijalva, Santiago ; Egerstedt, Magnus B.
    This paper proposes a general framework for determining the effect of communication delays on the convergence of certain distributed frequency regulation (DFR) protocols for prosumer-based energy systems, where prosumers are serving as balancing areas. DFR relies on iterative and distributed optimization algorithms to obtain an optimal feedback law for frequency regulation. But, it is, in general, hard to know beforehand how many iterations suffices to ensure stability. This paper develops a framework to determine a lower bound on the number of iterations required for two distributed optimization protocols. This allows prosumers to determine whether they can compute stabilizing control strategies within an acceptable time frame by taking communication delays into account. The efficacy of the method is demonstrated on two realistic power systems
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    Distributed Power Allocation in Prosumer Networks
    (Georgia Institute of Technology, 2012-09) Ramachandran, Thiagarajan ; Costello, Zak ; Kingston, Peter ; Grijalva, Santiago ; Egerstedt, Magnus B.
    Due to requirements of renewable and distributed energy integration,sustainability and energy security, the existing power grid is undergoing radical changes.The lines between producers and consumers are becoming blurred. In this paper, we provide a constrained formulation of the power allocation problem, which is emerging in such producer-consumer hybrid environments, and obtain decentralized protocols for its solution. We show that the information required by the individual prosumers to solve the problem varies depending on the choice of constraints in the optimization problem. As a consequence of this, we demonstrate that there exist fundamental trade-o s between the information required and the convergence rates associated with the power allocation problem.