Optimized DBN‐based control scheme for power quality enhancement in a microgrid cluster connected with renewable energy system DOI Creative Commons

N. Sivakumar,

Jaisiva Selvaraj,

Karthika Jayaprakash

et al.

IET Renewable Power Generation, Journal Year: 2024, Volume and Issue: 18(12), P. 1926 - 1947

Published: July 21, 2024

Abstract The increasing energy consumption and changing load variations place a significant burden on the sophisticated utility grid, which affects source's dependability quality. Researchers examining modern power networks must focus those factors to prevent grid breakdowns. Superior quality (PQ) is still intended make sure everything runs smoothly under diverse organizations. main cause of PQ problems, however, now renewable used in electronic converters that are integrated into electrical grid. Even though new, better solutions being developed, adhering international standards have been strongly advised. Consequently, microgrid clusters powered through incorporating multiple structures an urban area has proposed this paper. This increases sources by managing available inside cluster instead having it focused around Additionally, deep belief network model based Improved Dwarf Mongoose Optimization recommended for regulating inverter generating optimal pulse‐width modulated signals supplies. When compared other conventional techniques, suggested technique possesses less real reactive setting duration 0.8 ms 0.75 ms, respectively.

Language: Английский

Driving grid stability: Integrating electric vehicles and energy storage devices for efficient load frequency control in isolated hybrid microgrids DOI
Rakesh Rajan Shukla, Man Mohan Garg, Anup Kumar Panda

et al.

Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 89, P. 111654 - 111654

Published: April 18, 2024

Language: Английский

Citations

5
Frequency stabilization of interconnected diverse power systems with integration of renewable energies and energy storage systems DOI Creative Commons
Amil Daraz, Hasan Alrajhi, Ahmed N. M. Alahmadi

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Oct. 27, 2024

Recent improvements in renewable energy sources (RESs) and their extensive use the power industry have created significant issues for operation, security, management. Due to ongoing reduction of system inertia, maintaining operational frequency at its nominal value minimizing tie-line variations constitute essential variables these improvements. A novel improved stabilization approach based on modified fractional order tilt controller is presented interconnected diverse systems with integration sea wave energy, photovoltaic, wind, storage biodiesel generator. The integral double derivative (FOTIDD2) a that developed address problems hybrid structure integrated clean devices storing energy. recent optimization algorithm inspired by human behavior called mother (MOA) applied adjust coefficient proposed cascaded controller. FOTIDD2 was compared other control methods terms transient performance, determine effectiveness. Further, results are those sine cosine (SCA), fox (FOA), grey wolf (GWO). found be more effective than PID respect reducing overshoot (Osh) 79.31%, 83.78% 67.99%, improving time settlement 33.22%, 29.87%, 22.45% undershoot (Ush) 79.13%, 89.34%, 86.90% (∆F1), (∆F2), (∆Ptie), respectively.

Language: Английский

Citations

5
Load frequency Control in Renewable based Micro Grid with Deep Neural Network based Controller. DOI Creative Commons

Prasantini Samal,

Niranjan Nayak,

Anshuman Satapathy

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 103554 - 103554

Published: Dec. 1, 2024

Language: Английский

Citations

5
Decomposition prediction fractional-order PID reinforcement learning for short-term smart generation control of integrated energy systems DOI
Linfei Yin, Da Zheng

Applied Energy, Journal Year: 2023, Volume and Issue: 355, P. 122246 - 122246

Published: Nov. 11, 2023

Language: Английский

Citations

11
Optimized Non-Integer Load Frequency Control Scheme for Interconnected Microgrids in Remote Areas with High Renewable Energy and Electric Vehicle Penetrations DOI Creative Commons
Mokhtar Aly, Emad A. Mohamed, Abdullah M. Noman

et al.

Mathematics, Journal Year: 2023, Volume and Issue: 11(9), P. 2080 - 2080

Published: April 27, 2023

Renewable energy systems (RESs) have introduced themselves as vital solutions for supply in remote regions, wherein main utility are not available. The construction of microgrid (MG) is useful candidate proper control and management with hybrid RESs. However, RESs-based MGs face reduced power system inertia due to the dependency RESs on electronic converter systems. Accordingly, preserving nominal operating frequency deviations tie-line crucial elements operation interconnected areas. To overcome this problem, load (LFC) proven featured solutions. Therefore, paper proposes a new non-integer LFC method based fractional order (FO) theory proposed three degree freedom (3DoF) cascaded 1+proportional-integral-derivative-accelerated (PIDA) controller FOPI controller, namely 3DoF 1+PIDA/FOPI scheme. 1+PIDA/FOPItakes advantages accelerated term PIDA improve transients, regarding maximum overshoot/undershoot settling times. Additionally, it employs outer loop reduce errors faster inner mitigate disturbances effects. contribution plug-in controlled electric vehicles (EVs) considered enhance regulation functions. An optimized design scheme using newly developed equilibrium optimizer (EO)-slime mould optimization (SMA) algorithm (namely EOSMA optimizer). combines features EO SMA powerful algorithms. A two areas EVs inclusions high penetration levels selected verify optimizer. results show ability minimize MGs’ fluctuations preserve stability security.

Language: Английский

Citations

10
Design Optimization of Improved Fractional-Order Cascaded Frequency Controllers for Electric Vehicles and Electrical Power Grids Utilizing Renewable Energy Sources DOI Creative Commons
Fayez F. M. El-Sousy, Mohammed H. Alqahtani, Ali S. Aljumah

et al.

Fractal and Fractional, Journal Year: 2023, Volume and Issue: 7(8), P. 603 - 603

Published: Aug. 4, 2023

Recent developments in electrical power grids have witnessed high utilization levels of renewable energy sources (RESs) and increased trends that benefit the batteries electric vehicles (EVs). However, modern cause concerns due to their continuously reduced inertia resulting from RES characteristics. Therefore, this paper proposes an improved fractional-order frequency controller with a design optimization methodology. The proposed is represented by two cascaded control loops using one-plus-proportional derivative (1 + PD) outer loop proportional integral (FOPID) inner loop, which form 1 PD/FOPID. main superior performance characteristics PD/FOPID over existing methods include faster response time minimized overshoot/undershoot peaks, ability for mitigating both high- low-frequency disturbances, coordination EV participation regulating grid frequency. Moreover, simultaneous determination parameters recent manta ray foraging (MRFO) algorithm. Performance comparisons PID, FOPID, controllers are presented paper. results show response, disturbance mitigation also obtained MRFO-based

Language: Английский

Citations

10
Higher-Order Sliding Mode Control for Reducing Frequency Deviation in Microgrids DOI Creative Commons
Vikas Patel, V. K. Giri, Awadhesh Kumar

et al.

Smart Grids and Sustainable Energy, Journal Year: 2025, Volume and Issue: 10(1)

Published: Feb. 28, 2025

Language: Английский

Citations

0
Low-Injury Rubber Tapping Robots: A Novel PSO-PID Approach for Adaptive Depth Control in Hevea Brasiliensis DOI Creative Commons
Ruiwu Xu, Yulan Liao, Junxiao Liu

et al.

Agriculture, Journal Year: 2025, Volume and Issue: 15(10), P. 1089 - 1089

Published: May 18, 2025

Rubber tapping robots represent a significant research direction in modern robotics agricultural automation. Nevertheless, natural rubber encounter considerable challenges achieving precise tapping, particularly controlling depth, due to the lack of suitable control algorithms. To solve this problem, an improved Particle Swarm Optimization/Proportional–Integral–Derivative (PSO-PID) method has been proposed paper. It enhances inertia weight particle swarm by introducing adaptive weight, solving shortcomings traditional PSO algorithm, such as insufficient local search ability and early convergence. The experimental results show that depth system based on PSO-PID algorithm high responsiveness robustness, with average settling time 0.419 s overshoot can be kept below 2.5%. accuracy, robustness convergence speed are significantly better than other well-known optimization At 3.0 mm, injury rate was reduced 2%, surpassing level skilled manual workers. proven effectively key problem accurate current tapping.

Language: Английский

Citations

0
Optimizing Load Frequency Control in Diverse Power Generation Systems Using Hybrid Metaheuristic Algorithms DOI

Shasya Shukla,

Sitesh Jha,

Sarvendra Kumar Singh

et al.

Arabian Journal for Science and Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: May 21, 2025

Language: Английский

Citations

0
New Cascaded 1+PII2D/FOPID Load Frequency Controller for Modern Power Grids including Superconducting Magnetic Energy Storage and Renewable Energy DOI Creative Commons
Fayez F. M. El-Sousy, Mokhtar Aly, Mohammed H. Alqahtani

et al.

Fractal and Fractional, Journal Year: 2023, Volume and Issue: 7(9), P. 672 - 672

Published: Sept. 5, 2023

Having continuous decrease in inertia and being sensitive to load/generation variation are considered crucial challenging problems for modern power grids. The main cause of these is the increased penetration capacities renewables. An unbalanced load with generation largely affects grids’ frequency voltage profiles. Load control (LFC) mechanisms extensively presented solve problems. In literature, LFC methods still lacking dealing system uncertainty, parameter variation, structure changes, and/or disturbance rejection. Therefore, this paper proposes an improved methodology using hybrid one plus proportional integral double-integral derivative (1+PII2D) cascaded fractional order proportional-integral-derivative (FOPID), namely, proposed 1+PII2D/FOPID controller. contribution superconducting magnetic energy storage devices (SMES) design, also considering high-voltage DC AC transmission lines (hybrid HVDC/HVAC). optimized design controller a new application recently powerful artificial rabbits optimizers (ARO) algorithm. Various performance comparisons, uncertainties, profiles changes case study. results proved superior regulation ARO optimum parameters.

Language: Английский

Citations

9