Distributed Intelligent Energy Management System for a Single-Phase High-Frequency AC Microgrid

By S. Chakraborty, Manoja D. Weiss, Marcelo Simoes. IEEE transactions on industrial electronics (1982. Print), 2007

430 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/793a9d783dd19fb71b81802b180a5666ae8331fd

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In Control and Systems Engineering

In Electrical and Electronic Engineering

Citations in the corpus

Optimal Allocation and Economic Analysis of Energy Storage System in Microgrids (2011, background): “In [14], a distributed intelligent energy management system is presented to minimize the MG operation cost by managing the charging and discharging rates of the battery.”
Multiobjective Intelligent Energy Management for a Microgrid (2013, methodology): “In this context, an intelligent online energy management approach was proposed in [11], where the authors took into consideration the solar power generation”
Economic analysis and optimal energy management models for microgrid systems: A case study in Taiwan (2013, methodology): “A fuzzy neural network algorithm was applied to a distributed intelligent energy management system [31].”
State of the Art in Research on Microgrids: A Review (2015, methodology): “In [68], a power flow and power quality control for a single-phase high-frequency ACmicrogrid is presented using single-phase p-q theory-based active filters.”
Trends in Microgrid Control (2014, methodology): “ergy management problem applied to grid-connected and standalone microgrids, and using different ESS technologies, can be found in [111], [112].”
Adaptive Droop Control Applied to Voltage-Source Inverters Operating in Grid-Connected and Islanded Modes (2009, neutral): “2027921 ment [5], [6], [25]–[31].”
Energy Management of Microgrid in Grid-Connected and Stand-Alone Modes (2013, background): “In [14] and [15], the charging/discharging power of energy storage system is decided based on the heuristics.”
Value streams in microgrids: A literature review (2016, neutral): “Some of the proposed methods are suppression of circular currents [17], use of active filters [18], [19], use of optimally controlled shunt and series inverters [20], [21], cooperative harmonic filtering [22], and injection of negative sequence voltage [23] or current [24] to compensate for voltage ”
Computational optimization techniques applied to microgrids planning: A review (2015, background): “Simoes in [99] and in [100], focus on renewable energy sources integration in a distributed generation system, implementing a distributed intelligent EMS to optimize operating costs.”
Distributed Secondary Voltage and Frequency Restoration Control of Droop-Controlled Inverter-Based Microgrids (2015, background): “, the grid-connected and the islanded mode [7], [8].”
Multiagent-Based Distributed-Energy-Resource Management for Intelligent Microgrids (2013, background): “However, the operating cost and emission levels of such systems are significantly high compared to green DERs, and hence, to make microgrids smarter, it is important to embed necessary intelligence into existing control strategies [5]–[7].”
Advanced Control Architectures for Intelligent Microgrids—Part II: Power Quality, Energy Storage, and AC/DC Microgrids (2013, background): “The compensation of voltage unbalances is usually done by using series active power filter through the injection of negative sequence voltage in series with the power distribution line [4].”
Evaluation of DSP-Based PID and Fuzzy Controllers for DC–DC Converters (2009, methodology): “Fuzzy logic controller have recently been implemented as embedded controllers for robotics [6] and renewable energy systems [ 7 ], [8].”