Load Frequency Control of a Power System with 100% Renewables

Fayek, Hady H.

doi:10.1109/upec.2019.8893587

Cited by 15 publications

(17 citation statements)

References 14 publications

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“…In [1] and [8], a microgrid integrating bioenergy with solar energy technologies to form a single area microgrid. In this research, it was assumed that we have two similar organic farms in Egypt using sustainable technologies for energy generation and agriculture as illustrated in Figure 1.…”

Section: System Descriptionmentioning

confidence: 99%

“…This section presents how each renewable technology, energy storage facility, and power system are modeled and simulated in MATLAB [1,8].…”

Section: System Modellingmentioning

confidence: 99%

“…In this study, it was assumed that the photovoltaic generating system is working without wiring losses. The power extracted from the photovoltaic system can be formulated as (1) [1,8].…”

Section: Photovoltaic Power Generation Modelmentioning

confidence: 99%

“…In this paper, it was assumed that P PV linearly increase with I. The transfer function of the photovoltaic generating system can be modeled as (2) [1,8].…”

Section: Photovoltaic Power Generation Modelmentioning

confidence: 99%

“…Developing countries worldwide are planning to face climate change through increasing the penetration level of organic agriculture and sustainable energy. With smart grid technologies in terms of online monitoring, along with the real time control and self-healing of microgrids, the existence of electricity from 100% sustainable energies has become applicable [1].…”

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: System Descriptionmentioning

confidence: 99%

“…This section presents how each renewable technology, energy storage facility, and power system are modeled and simulated in MATLAB [1,8].…”

Section: System Modellingmentioning

confidence: 99%

“…In this study, it was assumed that the photovoltaic generating system is working without wiring losses. The power extracted from the photovoltaic system can be formulated as (1) [1,8].…”

Section: Photovoltaic Power Generation Modelmentioning

confidence: 99%

“…In this paper, it was assumed that P PV linearly increase with I. The transfer function of the photovoltaic generating system can be modeled as (2) [1,8].…”

Section: Photovoltaic Power Generation Modelmentioning

confidence: 99%

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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Comparative performance of multiple energy storage systems in unified voltage and frequency regulation of power system including electric vehicles

Ramoji¹,

Saikia

2022

Energy Storage

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Modern power systems are very complicated and have more obligation to uphold the supply of power be reliable, stable, and of decent quality at both the transmission and distribution phases. Preserving grid balance is a significant concern if there is an unforeseen generation deficit or grid disturbance, or intermittent renewable energy sources, such as bio‐diesel, electric vehicles (EVs), and solar power are incorporated into the energy mix. To compensate for this imbalance and enhance the power system's reliability and stability, the energy storage systems (ESS) can be regarded as an appropriate measure. Thus, ESS contributes to greenhouse gas (GHG) emission reductions by successfully integrating more renewable energy sources into the grid. This article presents multiple ESSs, such as pumped hydroelectric storage (PHS), accurate flywheel energy storage (AFES), battery energy storage (BES), capacitive energy storage (CE), and superconducting magnetic energy storage (SMEs) and their comparative performance analysis in unified voltage and frequency control of power system. The proposed interconnected power system includes thermal, solar‐thermal, bio‐diesel‐engine generator, and EVs. In both control systems, a maiden attempt was made to utilize Harris' Hawks optimization‐based fuzzy‐fractional‐order‐tilt‐integral‐derivative (FFOTID) controller. The repercussion of PHS proclaims a substantial amelioration in system performance than other ESSs. Likewise, the system exhibits better dynamics with the coalition of PHS and power system stabilizer (PSS) of AVR compared to their separate intervention. Lastly, sensitivity analysis of proposed controller is analyzed by alteration of load perturbation and nonlinearity of thermal plants, which ensures optimal controller parameters accomplished at nominal conditions are resilient enough.

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Fractional order PIλDμ controller for microgrid power system using cohort intelligence optimization

Murugesan

Jagatheesan

Shah

et al. 2023

Results in Control and Optimization

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Load Frequency Control of a Power System with 100% Renewables

Cited by 15 publications

References 14 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

Comparative performance of multiple energy storage systems in unified voltage and frequency regulation of power system including electric vehicles

Fractional order PIλDμ controller for microgrid power system using cohort intelligence optimization

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