Frequency control of fully-renewable interconnected microgrid using fuzzy cascade controller with demand response program considering

Shayeghi, Hossein; Rahnama, Alireza; Alhelou, Hassan Haes

doi:10.1016/j.egyr.2021.09.027

Cited by 32 publications

(25 citation statements)

References 21 publications

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“…This adds to the system's operational complexity, making it more difficult to maintain generationdemand balance and grid stability [3]. In linked grids, load variations will also have an impact on electricity distribution between surrounding districts [4]. Traditional generators must be prepared to compensate for the stochasticity of renewable generators through supplementary services [5].…”

Section: Introductionmentioning

confidence: 99%

“…Traditional generators must be prepared to compensate for the stochasticity of renewable generators through supplementary services [5]. In order to maintain system stability, a robust control strategy must regulate and safeguard the system against unanticipated or emergency events, rapid load fluctuations, and outages in short durations [4,[6][7][8]. As the use of photovoltaic (PV) systems grows in the power system, it's critical for PV systems to offer grid support tasks such as reactive power, transient voltage ride through, and frequency regulation, which are usually done by conventional rotating machines [9].…”

Section: Introductionmentioning

confidence: 99%

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Overview of Demand-Response Services: A Review

2022

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It is essential for the electricity sector to analyze and determine the distribution capacity throughput and apply new methods aimed at increasing the capacity of the transmission system. Consequently, the transition to modern electricity networks is two-sided, i.e., involving technological and social modifications. The demand response (DR) redistributes consumption away from peak times when grid load and costs are the highest. It incentivizes customers to use electricity when supply is high and inexpensive due to various market mechanisms. The present DR policy proposals stress the importance of fostering behavioral change through competitive pricing and customer participation in reducing carbon emissions and implementing smart energy solutions (including monitoring tools, such as smart meters and applications). The internet of things (IoT) has been applied to ensure adaptive monitoring of energy consumption and cost-effective and adequate demand-side management (DSM). The article is based on the research of the most recent sources of DR implementation methods applied at the power distribution level. It explains the main concepts, classifications, and entities implementing DSM programs, and suggests new visions and prospects for DSM and DR. Moreover, it discusses the application of blockchain technology potential for the internet of energy.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Overview of Demand-Response Services: A Review

2022

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“…The life cycle of EV batteries is limited by the degradation of active materials owing to charge/discharge [34], caused by development and evolution of cracks in the dynamic materials in a similar process to the cyclic mechanical loading leading to fatigue in materials [35]. The factors influencing this effect can be categorized as temperature, depth of cycle, charge/discharge power, among others.…”

Section: Cost Characteristicmentioning

confidence: 99%

“…The particle swarm optimization (PSO) and genetic algorithm optimization toolbox (GAOT) algorithms are used to study frequency control based on the optimal values of the fuzzy controller parameters. In industry and power systems, FLC, adaptive control, and related controllers are extensively studied for diverse control objectives [34,35]. A PSObased FLC scheme is presented to discover the required frequency regulation performance of the microgrid integrated with renewable energy sources, non-renewable energy sources, and prosumers.…”

Section: Fuzzy Logic Controller (Flc)mentioning

confidence: 99%

Electric Vehicles Aggregation for Frequency Control of Microgrid under Various Operation Conditions Using an Optimal Coordinated Strategy

et al. 2022

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This paper presents a novel optimal coordinated strategy for frequency regulation (FR) through electric vehicles (EVs) under variable power system operation states (PSOSs). The methodology ensures a secure and economical operation of the power system through the coordination of the frequency regulation, the power of the electric vehicles and generators with multiple optimization objectives. In the normal state of operation of the power system, the battery degradation cost is taken into account and accordingly the minimum FR cost is utilized as an objective. On the other hand, for abnormal operation, the optimization objective considers the minimum frequency restoration duration. Different scenarios have been investigated to validate the proposed method. The simulation results confirm the usefulness and superior performance of the proposed optimized coordinated control strategy.

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“…A fuzzy LFC is improved in [5], and the impact of demand response is studied, also a full interconnected MG is considered for evaluation. A PID is suggested in [6], and the chaotic sine-cosine algorithm is used for tuning PID.…”

Section: Introductionmentioning

confidence: 99%

A Fuzzy Intelligent Computing Approach for Energy/Voltage Control of Microgrids

Bouteraa

Kausar

et al. 2023

Journal of Mathematics

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The control and energy management problems of microgrids (MGs) are challenging due to the high level of uncertainties and disturbances such as changes in demands, mechanical powers, and solar energies. So, intelligent computing is needed to be developed for these systems. This paper uses an optimal and robust fuzzy controller for automatic voltage and frequency regulation. The fuzzy logic develops the resistance against uncertainties and disturbances such as irradiation, wind power changes, and load demand variation. The introduced controller uses appropriate and effective criteria that include rising time, settling time, overshoot, and the degree of resistance of the control system to uncertainties and perturbation effects. Through simulations and compassion with conventional regulators, the better accuracy of the suggested approach is demonstrated.

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Frequency control of fully-renewable interconnected microgrid using fuzzy cascade controller with demand response program considering

Cited by 32 publications

References 21 publications

Overview of Demand-Response Services: A Review

Overview of Demand-Response Services: A Review

Electric Vehicles Aggregation for Frequency Control of Microgrid under Various Operation Conditions Using an Optimal Coordinated Strategy

A Fuzzy Intelligent Computing Approach for Energy/Voltage Control of Microgrids

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