ECTI Transactions on Electrical Engineering, Electronics, and Communications

Optimizing the Bidding Data for power industry with elastic demand using hybrid Water Cycle Moth Flame Optimization Algorithm

Monalisa Datta; Dipu Sarkar, Soumyabrata Das — Tue, 29 Oct 2024 00:00:00 +0700

Strategic Optimal Bidding of the data is a compulsory duty for Independent System Operator (ISO) which is the most complicated task that maximizes the profit of the supplier by handling bidding coefficient strategically. This paper endorses a strategy of optimal bidding coefficient data to improve the profit value by latest optimizing technique named hybrid Water Cycle Moth Flame Optimization Algorithm, which achieves a heuristic search thereby obtaining a global search of a stream using Levy flight movement. This method is applied and tested on an Indian-75 Bus system to test and investigate the new strategy whether receiving best solution of profit in comparison with other conventional techniques explained widely. On adding it evaluates the efficacy of the proposed method on the mentioned system through assessing total profit obtained, revenue, power generation, Market Clearing Price and cost of the individual GENCO. In order to show the Statistical Analysis the Box-plot is done to perform the visual data representation of the proposed and conventional methods.

Distribution Grid Hosting Capacity Improvement using Reactive Power Control Optimization Algorithm of Inverter-based Photovoltaic Generation System

Tue, 29 Oct 2024 00:00:00 +0700

This paper uses a reactive power control optimization algorithm to present an inverter-based photovoltaic generation system for increasing the distribution grid host capacity. The main objective of this study is to regulate bus voltages by providing sufficient minimal reactive power consumption, which is obtained by a Particle Swarm Optimization-based optimization algorithm. A modeling study of the system network is developed using DIgSILENT PowerFactory, and the control algorithm is implemented in MATLAB. The proposed approach is efficient for various scenarios of the IEEE 13-bus test system and practical distribution network. The analysis results are compared with outcomes from other control methods, including technical and economic assessments. The performance of the proposed optimization-based power system has shown that the proposed algorithm method yielded significantly superior mitigated voltage rises and increased hosting capacity compared to those achieved by existing control methods of a specific distribution network.

Congestion Management in Interconnected Power System using Water Cycle Algorithm

Dipu Sarkar — Tue, 29 Oct 2024 00:00:00 +0700

Nowadays, it is desirable for the power industry to transmit power between different sites of the transmission system in the most cost-effective manner. Congestion management is one of the system operator's most challenging responsibilities in a deregulated context. Congestion would increase electricity costs and transmission loss and have a negative impact on the system's stability and security, so system operators work on it to reduce congestion in deregulated power systems. In this investigation, congestion is handled by considering three objective functions. The first objective is to minimize the generation cost and the second objective is to minimize the transmission loss of the system and third objective is to minimize the total congestion expanse. A water cycle algorithm is employed to mitigate the proposed congestion management and an IEEE 30 bus and 118 bus test system is employed to demonstrate the effectiveness of the suggested approach.

Optimal Design of State Variable Filter using Partition-bound Particle Swarm Optimization

Suvashish Kund, Bishnu Prasad De, Rajib Kar, Durbadal Mandal, Bhargav Appasani — Tue, 29 Oct 2024 00:00:00 +0700

Because of manufacturing constraints, designing analog active filters is highly challenging. Evolutionary computing is an effective method for automatically selecting the component values like resistors and capacitors. This work describes the partition-bound Particle Swarm Optimization (PB-PSO) for efficiently designing second-order active low-pass state variable filter (SVF) considering different manufacturing series. PB-PSO is responsible for efficiently picking components and minimizing total design error. The filter components are chosen to be compatible with the E12/ E24/ E96 series. Compared to earlier optimization strategies, the simulation findings show that PB-PSO reduces the overall design error.

Wire Bond Ability Enhancement of 8 Leads Small Outline Integrated Circuit and 14 Leads Thin Shrink Small Outline Package Using AuPd Coated Cu Wire Bonding for Automotive Devices

์Nawapat Maneeroth — Tue, 29 Oct 2024 00:00:00 +0700

Paper present a study enhancement of wire bonding process in the integrated circuit package with 2N AuPd coated Cu wire (2N-AuPdCu) for Automotive devices. Wire bonding is the electrical connection between pad and leadframe. In present, Au wire is recently use for interconnection while the gold price still exorbitant and caused concern to the wire bonding cost. Cu wire is a lower price and considered to be an alternative for the interconnection but still concern in term of corrosion and reliability. Recently, 4N AuPd coated Cu wire (4N-AuPdCu) material have been introduced for automotive device but still encounter the reliability problem. The 2N AuPd coated Cu wire was developed version for more reliability enhancement and consider to use for alternative wire of automotive device. In the experiment, Au wire, 4NAuPdCu wire and 2N AuPd coated Cu wire were used for wire bonding process on 8 leads Small Outline Integrated Circuit Package (8L-SOIC) and 14 leads Thin Shrink Small Outline Package (14L-TSSOP) to compare wire bond ability. Analysis, this package tested wire bond ability and reliability. The results performed well in wire bond ability and reliability for 2N AuPd coated Cu wire when comparing with Au wire and 4N AuPd coated Cu wire. Therefore, 2N AuPd coated Cu wire can enhance the quality and reliability for 8L-SOIC package and 14L-TSSOP package for automotive device.

Improved General Relativity Search Algorithm (IGRSA) for Designing Power System Stabilizers

Behzad Ehsanmaleki, Hamid Radmanesh — Tue, 29 Oct 2024 00:00:00 +0700

This paper proposes a novel optimization algorithm for designing power system stabilizers (PSSs). The prospect of attaining higher stability motivated the authors to creat a new optimization algorithm for this study. A novel algorithm named the Improved General. Relativity Search Algorithm (IGRSA) was also developed by cloud theory to improve the performance of GRSA. The supremacy of the proposed approach is tested by comparing it with an introduced objective function in a medium multi-machine power system. The nonlinear simulation results and eigenvalues analysis has demonstrated that the proposed approach in this study is highly effective in enhancing the dynamic stability of the power system.

Power Quality Enrichment and Power Management using an Adaptive Control Scheme in Microgrid System

Dr. Narendra Babu P — Tue, 29 Oct 2024 00:00:00 +0700

This article proposes an ANFIS-based control scheme for improved power quality and power management that will provide optimal and sustainable energy in a grid-connected renewable energy system. The system consists of a wind energy conversion system (WECS), a photo voltaic system (PVS), and a battery energy storage system (BESS). To increase the PVS's and WECS output powers, a unique control approach is suggested in this paper. The adaptive Neuro-Fuzzy Inference System (ANFIS) controller is incorporated into the proposed controller to generate three-phase reference current signals for harmonic elimination in the system during system dynamic conditions. The proposed control technique can work under voltage quality problems such as voltage sag, voltage swell, neutral currents, and reactive power. Renewable energy sources (PV and Wind) are interfaced to improve the DC-link overall performance by minimizing short-term and long-term voltage problems. The proposed controller regulates the energy flows between the renewable energy sources to the end users with a unity power factor. A supervisory control scheme is implemented for optimal power management in the system. Based on the load requirement, and how the renewable, battery, and grid sources are sharing the power, a detailed analysis is given in the paper. Simulation results from the MATLAB/Simulink platform under several test conditions at the grid side and load side illustrate the efficacy of the proposed control mechanisms in the environment of power optimization and energy management. The comparative analysis is performed to show the efficacy of the proposed system. Finally, the proposed system is validated and the THD content of the grid currents is found good.

Analysis of a Doubly-Fed Induction Motor for Soft Start Operation based on Stator Flux Vector Control

Warachart Suwan-ngam — Tue, 29 Oct 2024 00:00:00 +0700

This paper aims at analysis of an operation of a doubly-fed induction motor (DFIM). The paper mainly focuses on the soft start method for the DFIM using the conventional topology that is normally used in the case of a doubly-induction generator (DFIG). Likewise, the details about reactive power control is also discussed. With the proposed method, the DFIM can start from zero to any speed by controlling the machine-side converter (MSC). The computer simulation is performed to a 5 kW wound rotor induction motor using PLECS software. The simulation results validate that the DFIM can operate from the rest to any speed while operating only under the conventional topology.

Structure Dimensions Variation of the Segmented Switched Reluctance Linear Synchronous Motor (SSRLSM) and the Effects on Its Performances

Tue, 29 Oct 2024 00:00:00 +0700

This paper proposed and discussed a SRLSM with the segmental pole. The segmented SRLSM which known as SSRLSM was designed for domestic lift application. The SSRLSM was designed to fulfill the design target requirement where the lift must be able to transport a maximum 200 kg payload. A lab-scaled prototype of the SSRLSM was developed for experimental and measurement purpose. Beforehand, the SSRLSM was designed and simulated for different structure dimension to study the effect of structure’s reduction towards its performances. The structure dimensions involved are the number of coil number and the stack length where the number of coil is reduced from 6 coils to 3 coils. The results show that the thrust produced by the 6-coils and 3-coils SSRLSM is 2400 N and 1200 N, respectively. This shows that, the thrust is reduced by 50 % as the number of coil reduced by half. At the same time, the thrust produced also reduced by approximately 50 % as the stack length, z reduced by half from 400 mm to 200 mm. This shows that, the thrust, F of the SSRLSM is directly proportional to the number of coil as well the stack length, z.

System Implementation for the Soft Start Operation of a Doubly-Fed Induction Motor

Warachart Suwan-ngam — Tue, 29 Oct 2024 00:00:00 +0700

This project aims at system implementation for the soft start operation of a doubly-fed induction motor (DFIM) based on stator flux vector control. In this paper, the theory is briefly discussed. The simulation is performed using PLECS software to validate the hypothesis. A 5 kW wound rotor induction motor (WRIM) mechanically coupled with a simulated load is setup for the experiment. The STM32F407 microcontroller is applied to control the experimental system. Moreover, the Modbus protocol is applied for communication between the microcontroller and the computer using RS485 standard. The problem about rotor angle correction before enabling the MSC, which does not appear in the simulation, is seriously discussed. The experimental results do substantiate the proposed method and can be practically applied to the real system.