<p>In today's energy landscape, centralized and hierarchical control systems within various segments of microgrids offer significant advantages. These include enhanced overall efficiency, improved network stability, the potential for optimal control strategies at both national and regional levels, the ability to remotely operate equipment such as power switches, and the identification of system vulnerabilities. In light of these benefits, this paper introduces a novel energy management framework for an integrated power distribution network (DN) and its associated microgrids. The framework is designed to operate effectively under both predictable and unpredictable microgrid outages, aiming to reduce operational costs and increase microgrid reliability. In the first operational phase, the proposed framework (PF) manages the connection switches between microgrids and the main upstream network. This management allows the microgrids to switch between island mode and grid-connected mode, thereby controlling energy flow within the integrated power network and managing the generation units. In the second operational phase, the hierarchical control system addresses unexpected disturbances, such as cyber-physical attacks on the microgrid connection switches that may isolate a microgrid from the main network. This phase involves unique challenges, such as selecting the most appropriate generation unit as the <i>V</i>/<i>f</i> bus when the microgrid transitions to island mode. This selection is crucial to optimize operational costs and other technical aspects, distinguishing the proposed methodology from previous research. The simulation results demonstrate the effectiveness of the proposed framework in reducing the mean total operation cost by approximately 12.1%, the mean total losses by about 73.8%, and the mean voltage deviation by around 30.45% across various scenarios of microgrid outages and fully connected microgrids.</p>

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Optimal generation and distribution planning in smart microgrids under conditions of multi-microgrid disconnection using a hierarchical control strategy

  • Mehdi Zareian Jahromi,
  • Elnaz Yaghoubi,
  • Elaheh Yaghoubi

摘要

In today's energy landscape, centralized and hierarchical control systems within various segments of microgrids offer significant advantages. These include enhanced overall efficiency, improved network stability, the potential for optimal control strategies at both national and regional levels, the ability to remotely operate equipment such as power switches, and the identification of system vulnerabilities. In light of these benefits, this paper introduces a novel energy management framework for an integrated power distribution network (DN) and its associated microgrids. The framework is designed to operate effectively under both predictable and unpredictable microgrid outages, aiming to reduce operational costs and increase microgrid reliability. In the first operational phase, the proposed framework (PF) manages the connection switches between microgrids and the main upstream network. This management allows the microgrids to switch between island mode and grid-connected mode, thereby controlling energy flow within the integrated power network and managing the generation units. In the second operational phase, the hierarchical control system addresses unexpected disturbances, such as cyber-physical attacks on the microgrid connection switches that may isolate a microgrid from the main network. This phase involves unique challenges, such as selecting the most appropriate generation unit as the V/f bus when the microgrid transitions to island mode. This selection is crucial to optimize operational costs and other technical aspects, distinguishing the proposed methodology from previous research. The simulation results demonstrate the effectiveness of the proposed framework in reducing the mean total operation cost by approximately 12.1%, the mean total losses by about 73.8%, and the mean voltage deviation by around 30.45% across various scenarios of microgrid outages and fully connected microgrids.