Amir H. Hajimiragha

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The increasing interest in integrating intermittent renewable energy sources into microgrids presents major challenges from the viewpoints of reliable operation and control. In this paper, the major issues and challenges in microgrid control are discussed, and a review of state-of-the-art control strategies and trends is presented; a general overview of the(More)
This paper addresses the formulation and solution of an optimal energy storage management problem under risk consideration and transaction costs of trading energy with the power grid. The price evolves as a stochastic process, capable of correctly explaining the seasonality effects as well as the tail fatness and spikiness in its distribution. Transaction(More)
The trend of integrating more nondispatchable renewable sources into the electric grid and phasing out dispatchable fossil-fueled power plants in the near future reduces the operational flexibility, increases the chance of transmission congestion, and endangers the stability of electric system. Utilities are investigating the application of large-scale(More)
Microgrids are perceived to play an important role in the future of smart grids. Cost reduction and frequency regulation are among the major concerns in this context. This paper aims to study the mutual impacts of these issues and to propose an integrated mathematical framework in order to achieve minimum costs while maintaining frequency-regulation(More)
This paper proposes a new technique to analyze the electricity and transport sectors within a single integrated framework to realize an environmentally and economically sustainable integration of plug-in hybrid electric vehicles (PHEVs) into the electric grid, considering the most relevant planning uncertainties. The method is based on a comprehensive(More)
This paper investigates the formulation of a general optimal energy flow (OEF) problem for integrated energy systems, paying particular attention to "hydrogen economy" issues, i.e. production, distribution and utilization of hydrogen, as well as considering the impact of energy storage devices. Based on the concept of energy hubs, the optimal conversion and(More)
Reliance on costly and polluting diesel generators is a major difficulty common to almost all the remote off-grid communities. However, there are oftentimes opportunities to replace at least a part of it with clean renewable energy. This can be achieved by incorporating appropriate energy storage technologies for shifting the energy as well as smart control(More)
This study concerns charging/discharging management of an energy storage device, integrated with a renewable energy supply to fully serve loads over a finite time horizon. The goal is to minimize the cost (or maximize the revenue) of exchanging energy with the electrical grid. The storage device is defined through conversion and dissipation losses, capacity(More)
A new real-time optimal scheduling model is proposed and analyzed in this paper to aggregate storage benefits for a large-scale electricity consumer. The complete model for optimal operation of storage-based electrical loads considering both the capital and operating expenditures of storage is developed. A real-time load forecaster is incorporated into the(More)
In this paper, a new technique is proposed to mitigate the problem of data loss in real-time short-term forecasting (STF) algorithms. The proposed method can be applied to any STF algorithm in order to resolve the problem of data loss with minimal additional computation. In addition, the proposed implementation strategy can be employed to address the(More)