Real-time coordination of distributed energy resources for frequency control in microgrids with unreliable communication

Mo, Huadong; Sansavini, Giovanni

doi:10.1016/j.ijepes.2017.09.029

Cited by 29 publications

(12 citation statements)

References 57 publications

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“…There are two types of delay in the communication system, the first type is mainly related to the data transferred from PMUs to controllers Γ PC and the second type is for the data transferred between controllers and actuators Γ CA . The second source of disturbance that has a significant impact on network degradation lies at the packet loss [23,38]. The degradation factor exists in the forward and feedback channels of the wireless networks.…”

Section: Monitoring and Communication Networkmentioning

confidence: 99%

“…The main advantages of modern communication techniques are easy installation and expansion, high speed, and low cost [21]. Many studies have assessed the performance of the communication systems in power systems such as Can bus [22], Ethernet [23], ZigBee [24], WiMAX (IEEE 802.16) [25], and Wi-Fi (IEEE 802.11) [26]. In fact, the main factors in communication delays which may affect the system performance negatively are network-induced delays and data packet dropouts.…”

Section: Introductionmentioning

confidence: 99%

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5G Poor and Rich Novel Control Scheme Based Load Frequency Regulation of a Two-Area System with 100% Renewables in Africa

Fayek

2020

Fractal Fract

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Remote farms in Africa are cultivated lands planned for 100% sustainable energy and organic agriculture in the future. This paper presents the load frequency control of a two-area power system feeding those farms. The power system is supplied by renewable technologies and storage facilities only which are photovoltaics, biogas, biodiesel, solar thermal, battery storage and flywheel storage systems. Each of those facilities has 150-kW capacity. This paper presents a model for each renewable energy technology and energy storage facility. The frequency is controlled by using a novel non-linear fractional order proportional integral derivative control scheme (NFOPID). The novel scheme is compared to a non-linear PID controller (NPID), fractional order PID controller (FOPID), and conventional PID. The effect of the different degradation factors related to the communication infrastructure, such as the time delay and packet loss, are modeled and simulated to assess the controlled system performance. A new cost function is presented in this research. The four controllers are tuned by novel poor and rich optimization (PRO) algorithm at different operating conditions. PRO controller design is compared to other state of the art techniques in this paper. The results show that the PRO design for a novel NFOPID controller has a promising future in load frequency control considering communication delays and packet loss. The simulation and optimization are applied on MATLAB/SIMULINK 2017a environment.

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Section: Monitoring and Communication Networkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

5G Poor and Rich Novel Control Scheme Based Load Frequency Regulation of a Two-Area System with 100% Renewables in Africa

Fayek

2020

Fractal Fract

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“…The investigated paper work closely relates to adoptive modeling of energy storage systems of decentralized and active distribution networks [2]. The multiagent stability evaluation [4], cooperative control [6], real-time coordination [7], economic dispatching [11], predictability of packet loss during information exchange [15] and optimizing consensus algorithms [25]. We aim to frame and optimize distributed pattern, agent synchronization, communication reliability, optimum dispatching, and contingency conditions.…”

Section: Related Workmentioning

confidence: 99%

“…We aim to frame and optimize distributed pattern, agent synchronization, communication reliability, optimum dispatching, and contingency conditions. To do so, we are shaping centralized architectures [1] with distributed design [4]- [6] through distributed control [7]- [13] of consensus algorithms [14]- [17] and multiagent approach [19]- [21]. In [4]- [6], consensusability of agents implemented for faults handling, voltage control, and stability constraints while the feasible approach of power handling and mismatch issues considered in the paper.…”

Section: Related Workmentioning

confidence: 99%

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Power Mismatch Estimation in Smart Grid Using Distributed Control

2020

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One of the major challenges in the area of smart grids is the management of power between consumers and generators. Traditionally, the power mismatch is managed in a centralized fashion which has major shortcomings of complexity, requires large bandwidth, ineffectiveness, and unscalable. To address these problems, this paper presents a novel distributed mismatch technique in smart grids. In this algorithm, every generation and consumer unit, has to estimate the total power that has been generated, the total load and the power mismatches. The coordination and control of power nodes is achieved through distributed manner. The proposed technique achieves through consensus algorithms. Such distributed technique prevails task sharing, surviving on single link failure, efficient decision making, the fastest convergence, and autonomy for the global power nodes. The technique is suitable for all types of grid in islanded and connected mode. We evaluated optimization factors: rapid convergence, fast computation, scalability and effectiveness. The proposed distributed network examined power systems using random, unreliable, unpredicted, and arbitrary topologies. It explores distributed node convergence, optimality, and status sharing through Graphs and Matrix theories. The communication reliability, link stability, privileges distribution, comparative cost, and adoptability of propose distributed technique has been assessed. Moreover, the proposed scheme is evaluated under different communication topologies and experimental testbed results to explain the effectiveness of the algorithm.

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References

2021

Cyber‐Physical Distributed Systems

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Real-time coordination of distributed energy resources for frequency control in microgrids with unreliable communication

Cited by 29 publications

References 57 publications

5G Poor and Rich Novel Control Scheme Based Load Frequency Regulation of a Two-Area System with 100% Renewables in Africa

5G Poor and Rich Novel Control Scheme Based Load Frequency Regulation of a Two-Area System with 100% Renewables in Africa

Power Mismatch Estimation in Smart Grid Using Distributed Control

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