Optimal energy management of a residential-based hybrid renewable energy system using rule-based real-time control and 2D dynamic programming optimization method

Jafari, Mohammad; Malekjamshidi, Zahra

doi:10.1016/j.renene.2019.06.123

Cited by 61 publications

(34 citation statements)

References 28 publications

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“…As it is concluded in [32], supervisory controllers such as rule-based system (RBS) and machine learning system (MLS) schemes have found to be flexible control methods with fast dynamic responses. RBS may be used in three categories such as fuzzy systems [33], neural networks [34], and the other standard RBS [35,36]. Although the fuzzy-based RBS and neural network schemes are more adaptable, still, they can produce unreliable results [32].…”

Section: Introductionmentioning

confidence: 99%

Assessing the Use of Reinforcement Learning for Integrated Voltage/Frequency Control in AC Microgrids

2020

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The main purpose of this paper is to present a novel algorithmic reinforcement learning (RL) method for damping the voltage and frequency oscillations in a micro-grid (MG) with penetration of wind turbine generators (WTG). First, the continuous-time environment of the system is discretized to a definite number of states to form the Markov decision process (MDP). To solve the modeled discrete RL-based problem, Q-learning method, which is a model-free and simple iterative solution mechanism is used. Therefore, the presented control strategy is adaptive and it is suitable for the realistic power systems with high nonlinearities. The proposed adaptive RL controller has a supervisory nature that can improve the performance of any kind of controllers by adding an offset signal to the output control signal of them. Here, a part of Denmark distribution system is considered and the dynamic performance of the suggested control mechanism is evaluated and compared with fuzzy-proportional integral derivative (PID) and classical PID controllers. Simulations are carried out in two realistic and challenging scenarios considering system parameters changing. Results indicate that the proposed control strategy has an excellent dynamic response compared to fuzzy-PID and traditional PID controllers for damping the voltage and frequency oscillations.

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Section: Introductionmentioning

confidence: 99%

Assessing the Use of Reinforcement Learning for Integrated Voltage/Frequency Control in AC Microgrids

2020

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“…The resultant topology leads to a reduced number of conversion cells and transformers which reduces the system size and cost of the system, while still preserves the same advantages [10]. The MWT operates as a common magnetic bus to integrate the energies in the form of magnetic flux [11–13]. The power flow in the MWT is controlled by a phase shift control technique [9–13].…”

Section: Introductionmentioning

confidence: 99%

“…The MWT operates as a common magnetic bus to integrate the energies in the form of magnetic flux [11–13]. The power flow in the MWT is controlled by a phase shift control technique [9–13]. The most common MAB converter topologies are triple‐active bridge (TAB) [12], and quadruple‐active bridge (QAB) [13].…”

Section: Introductionmentioning

confidence: 99%

“…The power flow in the MWT is controlled by a phase shift control technique [9–13]. The most common MAB converter topologies are triple‐active bridge (TAB) [12], and quadruple‐active bridge (QAB) [13]. However, increasing the number of bridges and transformer windings to more than four leads to the complexity in the structure and design of MWT [14, 15].…”

Section: Introductionmentioning

confidence: 99%

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Comparative analysis of DC to AC conversion cells for application in PV‐linked grid‐connected modular multi‐level cascaded converters

Malekjamshidi

Jafari

2020

IET power electron.

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“…Therefore, a large number of multi-port converter topologies has been introduced in the literature so far [1][2][3][4][5][6][7][8][9]. The proposed topologies can be classified, as the topologies operate based on the series or parallel connection of small conversion cells [10], a time-sharing concept [11][12][13] and magnetic flux additivity [14]. Furthermore, some of them have the property of bidirectional power flow between the connected ports, while others are unidirectional only [15].…”

Section: Introductionmentioning

confidence: 99%

A Topology of DC-DC Converter Based on Multi-Winding Transformer for Grid Integration of Multiple Renewable Energy Resources

Jafari

Malekjamshidi

2020

Inventions

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This paper presents a topology of a multi-port phase shift converter for integration with a photovoltaic (PV) system, a wind turbine generator, and a battery to supply a grid-connected domestic load. The main advantage of the topology is using a multi-winding high-frequency transformer (MWHFT) to integrate the input and outputs of the system. In contrast with the case of using a common electrical bus, using MWHFT presents several advantages, such as isolating the converter ports, the easier matching of different voltage levels of the converter ports by adjusting turns ratio, simpler power flow control between the converter ports by applying leading or lagging phase shift angles, and eliminating the leakage current flow through the PV panels from the utility grid. A detailed analysis of the proposed topology and the control system is presented. A numerical simulation of the proposed system is carried out to confirm the system operation and control technique. The experimental tests have been conducted on a prototype converter to approve the proposed system performance.

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Optimal energy management of a residential-based hybrid renewable energy system using rule-based real-time control and 2D dynamic programming optimization method

Cited by 61 publications

References 28 publications

Assessing the Use of Reinforcement Learning for Integrated Voltage/Frequency Control in AC Microgrids

Assessing the Use of Reinforcement Learning for Integrated Voltage/Frequency Control in AC Microgrids

Comparative analysis of DC to AC conversion cells for application in PV‐linked grid‐connected modular multi‐level cascaded converters

A Topology of DC-DC Converter Based on Multi-Winding Transformer for Grid Integration of Multiple Renewable Energy Resources

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