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Journal of Power, Energy, and Control
Published by MSD Institute
ISSN : -     EISSN : 30478804     DOI : -
Core Subject : Science, Engineering,
Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Mechanical Engineering
Journal of Power, Energy, and Control (PEC) mainly focuses on power engineering, energy engineering, renewable energy, control systems in energy application, and various sustainable energy applications. PEC welcomes the submission of high quality original research papers, review papers, and case study reports.
Arjuna Subject : Energi (semua kategori) - Teknik Energi dan Teknologi Daya
Articles 26 Documents
 1   2   3 
Control Strategy Assessment: PID and Fuzzy-PID for Compound DC Motor Systems Yaw Amankrah Sam-Okyere; Emmanuel Osei-Kwame; Dienatu Issaka; Isaac Papa Kwesi Arkorful
Journal of Power, Energy, and Control Vol. 2 No. 2 (2025)
Publisher : MSD Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62777/pec.v2i2.74

Abstract

Compound DC motors, prized for their high torque and speed in industrial applications, demand robust control under nonlinear conditions. This study advances the field of Adaptive Neuro-Fuzzy Interface (ANFIS) by comparing a Ziegler-Nichols-tuned Proportional-Integral-Derivative (PID) controller with a novel ANFIS-PID controller for a compound DC motor. Unlike prior work, the research focuses on the unique dynamics of compound motors for real-time applications. Using MATLAB Simulink simulations. Performance was assessed via overshoot, rise time, settling time, and steady-state error under no-load and full-load conditions. The PID controller yielded 11.789% overshoot, 1.140s rise time, and 2.251s settling time, while the ANFIS-PID achieved 6.989% overshoot, 0.951s rise time, and 1.962s settling time, with a 50% lower steady-state error. These results, validated across 10 runs (p < 0.05), highlight the ANFIS-PID’s superior adaptability to the motor’s series-shunt dynamics, offering a 40.7% overshoot reduction.
Simulation-Based Design of a Solar PV Water Pumping System for Deep-Well Irrigation: A Case Study in Damascus Adil Adam; Adnan Alahmad; Samer Diab
Journal of Power, Energy, and Control Vol. 3 No. 1 (2026)
Publisher : MSD Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62777/pec.v3i1.80

Abstract

This study presents a simulation-based design of a solar photovoltaic (PV) water pumping system for deep-well irrigation in Damascus, Syria, where water scarcity and unreliable grid electricity constrain agricultural productivity. The objective is to develop a technically feasible and economically viable solar-powered alternative to conventional diesel-based pumping systems. This study contributes by integrating site-specific hydraulic requirements with PVsyst-based simulation for high-head irrigation conditions. The proposed system is designed and analyzed based on site-specific climatic and hydraulic conditions, including a daily water demand of 104 m³ and a total dynamic head of 160 m. The system configuration consists of a 4.2 kWp PV array (21 modules), a submersible pump (PS4000 C-SJ8-15), and an MPPT-based controller. Simulation results indicate that the system can reliably meet the required water demand under local solar irradiance conditions (~5.5 kWh/m²/day), achieving an overall system efficiency of 38.89%. Comparative analysis suggests that, despite higher initial capital costs, the solar-powered system offers significant long-term economic advantages due to near-zero operating costs, with an estimated payback period of 3–4 years. The findings demonstrate that solar PV water pumping is a viable and sustainable solution for high-head irrigation in semi-arid regions such as Damascus, with strong potential to reduce dependence on fossil fuels and improve agricultural resilience.
A Review of Renewable Energy Policy and Implementation in Nigeria and Ghana Dasori Azundow Edmund; Wisdom Elikplim Korkortsi; Ramatu Al-hassan; Collins Dormena; Gloria Opoku Darkoh
Journal of Power, Energy, and Control Vol. 3 No. 1 (2026)
Publisher : MSD Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62777/pec.v3i1.90

Abstract

The global energy transition, driven by the imperatives of climate change mitigation and the pursuit of Sustainable Development Goal 7 (SDG 7), is particularly significant for developing nations in West Africa. This review article synthesizes and critically analyzes the literature on renewable energy policy adoption and implementation in Nigeria and Ghana, two nations with abundant solar, wind, and hydropower resources. The analysis reveals a central thesis: while both countries are committed to a sustainable energy transition, their progress is dictated by divergent institutional, financial, and technical factors. Ghana's more cohesive policy framework and proactive grid upgrades have enabled a higher renewable energy share and more effective project deployment, but it is still constrained by financial and enforcement gaps. In contrast, Nigeria's vast renewable energy potential is significantly underutilized due to a fragmented regulatory framework, underinvestment, and systemic infrastructure deficiencies. This review identifies key research and policy gaps, including the absence of detailed long-term socio-economic modeling and in-depth analysis of tailored financial mechanisms.
Advanced Control Strategies for Frequency Stabilization of a Synchronous Generator in a Modern Grid Yaw Amankrah Sam-Okyere; Emmanuel Osei-Kwame; Isaac Papa Kwesi Arkorful; Ebenezer Armah; Nutifafa Tsikata
Journal of Power, Energy, and Control Vol. 3 No. 1 (2026)
Publisher : MSD Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62777/pec.v3i1.92

Abstract

The stability and reliability of modern power systems are critically dependent on maintaining a nominal frequency. The increasing integration of non-synchronous renewable energy sources (RES) has led to a significant reduction in system inertia, making the grid more susceptible to rapid frequency excursions and a high Rate of Change of Frequency (RoCoF) following disturbances. This research investigates frequency stabilization of a synchronous generator connected to an infinite bus, modeled through the swing equation and linearized at the unstable operating point. A state-space representation of the system is derived, and its controllability and observability are verified to enable modern control design. Two approaches are implemented: full-state feedback (FSF) and observer-based output feedback using a Luenberger observer. Controller gains are designed via pole placement to achieve desired closed-loop dynamics, while observer poles are chosen to be faster to ensure rapid state estimation. Simulation results demonstrate that both controllers stabilize the otherwise unstable generator, with the observer-based feedback offering faster frequency recovery when only partial state measurements are available. A comparative analysis of rotor angle and frequency trajectories shows that FSF ensures robustness when full measurements are accessible. At the same time, the observer-based design provides a practical solution under realistic measurement limitations. The results confirm that advanced control strategies can effectively stabilize low-inertia power systems.
Fault Detection in Grid-Connected Photovoltaic Systems Using Extended State Estimation and Residual Analysis Yaouba Yaouba; Albert Ayang; Ahmat Tom; Yacoub Nassian Nimir; Noël Djongyang
Journal of Power, Energy, and Control Vol. 3 No. 1 (2026)
Publisher : MSD Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62777/pec.v3i1.110

Abstract

This paper presents an approach to detect faults in Photovoltaic (PV) systems based on a state estimation and residual analysis. After constructing the mathematical model of the nonlinear system and the extended state observer, we establish the fault detection method of the Single-Phase Grid connected PV system subjected to external disturbances based on estimation and residual analysis of nominal and extended states. To manage the uncertainties due to the modeling and external disturbances, an active disturbance rejection control (ADRC) is used, thanks to its robustness. We generated residuals by comparing the actual and estimated states with a threshold set at a tolerance of 5% from the nominal residual value. The external disturbances, such as PV generator and grid voltage variations, are defined as the external sources of disturbances. The faults occasioned by these disturbances are detected by the presence of peaks exceeding the thresholds. The results obtained by simulation in MATLAB environment demonstrated that with a threshold set at a tolerance of 5% from the nominal residual value, the proposed residual analysis method achieves 62.5 % of detection of faults from the PV source and 100% detection of faults from the grid side. The state estimation-based approach is verified by a direct visual observation of the nominal (current and voltage) and extended (disturbances) state estimation curves. Given the satisfactory results of this work, this diagnosis approach offers an interesting outlook for ensuring the productivity and lifespan of the PV system.
P–V Curve Tracing and CPF Validation for Static Voltage Stability Assessment Under Constant Power Factor Loading Benjamin Egyin Wilson; Emmanuel Agyepong Nyantakyi
Journal of Power, Energy, and Control Vol. 3 No. 1 (2026)
Publisher : MSD Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62777/pec.v3i1.116

Abstract

This paper presents an implementation-oriented methodology for static voltage stability assessment using P–V curve tracing, continuation power flow (CPF) validation, near-collapse voltage sensitivity analysis, and reactive capability diagnostics. Using the IEEE 30-bus benchmark system, the load at selected PQ buses is increased one bus at a time under a constant power factor (pf) growth model, and the resulting voltage magnitudes are recorded to form P–V curves. A two-stage step refinement strategy (coarse scan followed by fine steps near collapse) efficiently approximates the maximum solvable loading level and the corresponding critical voltage. To quantify vulnerability beyond loadability margin alone, a local slope-based sensitivity index, dV/dP, is computed from the tail of each curve. System-wide reactive power reserves and reactive limit hit/violation indicators are also extracted to characterize reactive support sufficiency and identify conditions where generator Q saturation would likely reduce practical margins. CPF is then applied to a subset of buses to benchmark the conventional tracing estimates and report PF-versus-CPF error statistics. The complete analysis is repeated for pf ∈ {0.8, 0.9, 1.0} to quantify the impact of reactive demand coupling on voltage stability margins, curve steepness, and weak-bus ranking. A formal monotonicity theorem is established, proving that the loadability margin is nondecreasing in the load power factor under standard regularity conditions. The results demonstrate consistent identification of vulnerable buses, strong agreement between two-stage tracing and CPF nose points, and substantial margin improvement as pf approaches unity.

Page 3 of 3 | Total Record : 26

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