4.6 Article Proceedings Paper

Reliable Islanded Microgrid Operation Using Dynamic Optimal Power Management

Journal

IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
Volume 57, Issue 2, Pages 1755-1766

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIA.2020.3047587

Keywords

Batteries; Microgrids; Reliability; State of charge; Optimization; Generators; Control systems; Economic power-sharing; microgrid; optimal battery state of charge (SOC); optimal power; optimization algorithm; particle swarm optimization (PSO); photovoltaic (PV); power flow; reliability

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The work presented in this article addresses the tradeoff between operating cost and reliability in microgrids by developing flexible control algorithms to enable high penetration of PV power. A power flow optimization framework is created considering all variables associated with system operation, using particle swarm optimization to effectively optimize power flow and schedule battery state of charge. The proposed approach is validated through simulations and experimental studies, demonstrating its effectiveness in achieving cost-effective and reliable operation in microgrids.
The tradeoff between the operating cost and the reliability of microgrids imposes challenges of having cost-effective power dispatch and reliable operations. The work presented in this article optimally solves this issue in a microgrid that contains photovoltaic (PV), dispatchable generator, and storage battery. Flexible control algorithms are developed to enable high penetration of PV power in islanded microgrids such that the challenge of having a cost-effective and reliable operation can be mitigated. This is achieved by creating a power flow optimization framework that considers all variables associated with the system operation. Particle swarm optimization is utilized to effectively optimize the power flow among the integrated sources and to dynamically schedule the battery state of charge. The proposed controller of each source works to fulfill the requirements of the optimization. The energy index of reliability is employed as a direct measure to quantify the reliability level of the microgrid. The effectiveness of the proposed approach is demonstrated by simulations and validated by experimental studies.

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