scholarly journals Frequency stability improvement of micro hydro power system using hybrid SMES and CES based on Cuckoo search algorithm

2017 ◽  
Vol 8 (2) ◽  
pp. 76 ◽  
Author(s):  
Muhammad Ruswandi Djalal ◽  
Herlambang Setiadi ◽  
Andi Imran
Keyword(s):  
Energy Storage ◽  
Magnetic Energy ◽  
Search Algorithm ◽  
Frequency Control ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Load Frequency Control ◽  
Hydro Power ◽  
Environmental Friendliness ◽  
Optimum Performance

Micro hydro has been chosen because it has advantages both economically, technically and as well as in terms of environmental friendliness. Micro hydro is suitable to be used in areas that difficult to be reached by the grid. Problems that often occur in the micro hydro system are not the constant rotation of the generator that caused by a change in load demand of the consumer. Thus causing frequency fluctuations in the system that can lead to damage both in the plant and in terms of consumer electrical appliances. The appropriate control technology should be taken to support the optimum performance of micro hydro. Therefore, this study will discuss a strategy of load frequency control by using Energy Storage. Superconducting magnetic energy storage (SMES) and capacitor energy storage (CES) are devices that can store energy in the form of a fast magnetic field in the superconducting coil. For the optimum performance, it is necessary to get the optimum tuning of SMES and CES parameters. The artificial intelligence methods, Cuckoo Search Algorithm (CSA) are used to obtain the optimum parameters in the micro hydro system. The simulation results show that the application of the CSA that use to tune the parameters of hybrid SMES-CES-PID can reduce overshoot oscillation of frequency response in micro hydro power plant.

scholarly journals NÂNG CAO CÔNG SUẤT CỦA HỆ THỐNG PIN LƯU TRỮ TRÊN LƯỚI ĐIỆN PHÂN PHỐI CÓ KẾT NỐI NĂNG LƯỢNG MẶT TRỜI NHẰM GIẢM CHI PHÍ

2021 ◽  
Vol 226 (16) ◽  
pp. 11-19
Author(s):  
Tôn Ngọc Triều ◽  
Nguyễn Tùng Linh ◽  
Trương Việt Anh ◽  
Phạm Văn Lới
Keyword(s):  
Energy Storage ◽  
Search Algorithm ◽  
Storage System ◽  
Cuckoo Search ◽  
Energy Storage System ◽  
Cuckoo Search Algorithm ◽  
Battery Energy Storage System ◽  
Battery Energy Storage ◽  
Battery Energy

Bài báo này trình bày vấn đề mở rộng công suất hoạt động của hệ thống lưu trữ năng lượng pin (Battery Energy Storage System - BESS) trên lưới điện phân phối có kết nối nguồn năng lượng mặt trời trong khoảng 24 giờ. Trong khoảng thời gian 24 giờ khảo sát được chia thành các khoảng thời gian nhỏ là giờ cao điểm, giờ tiêu chuẩn và giờ thấp điểm. Mục tiêu là tìm ra nút và công suất tối ưu để lắp đặt BESS của nó trong mỗi khoảng thời gian để giảm thiểu chi phí mua điện và chi phí tổn thất năng lượng. Thuật toán cuckoo search (Cuckoo Search Algorithm) được áp dụng để tối ưu vị trí và mở rộng công suất vận hành của BESS. Hiệu quả của bài toán đề xuất đã được kiểm tra trên lưới điện phân phối 33 nút. Kết quả kiểm nghiệm cho thấy, phương pháp đề xuất có khả năng giảm chi phí năng lượng cũng như góp phần giảm phụ tải cao điểm trong thời gian 24 giờ.

scholarly journals An Improved Hybrid Micro-Grid Load Frequency Control Scheme for an Autonomous System

2021 ◽  
Vol 6 (4) ◽  
Author(s):  
Ibrahim Abdulwahab ◽  
Shehu A. Faskari ◽  
Talatu A. Belgore ◽  
Taiwo A. Babaita
Keyword(s):  
Energy Storage ◽  
Search Algorithm ◽  
Frequency Control ◽  
Harmony Search ◽  
Harmony Search Algorithm ◽  
Load Frequency Control ◽  
Control Scheme ◽  
Micro Grid ◽  
Grid Load ◽  
Moth Flame Optimization Algorithm

This paper presents an improved hybrid micro-grid load frequency control scheme for an autonomous system. The micro-grid system comprises of renewable and non-renewable energy-based Power Generating Units (PGU) which consist of Solar Photovoltaic, WT Generator, Solar Thermal Power Generator, Diesel Engine Generator, Fuel Cell (FC) with Aqua Electrolizer (AE). However, power produce from renewable sources in microgrid are intermittent in supply, hence make it difficult to maintain power balance between generated power and demand. Therefore, Battery energy storage system, ultra-capacitor and flywheel energy storage systems make up the energy storage units. These separate units are selected and combined to form two different scenarios in this study.  This approach mitigates frequency fluctuations during disturbances (sudden load changes) by ensuring balance between the generated power and demand. For each scenario, Moth flame optimization algorithm optimized Proportional-Integral controllers were utilized to control the micro-grid (to minimize fluctuations from the output power of the non-dispatchable sources and from sudden load change). The results of the developed scheme were compared with that of Quasi-Oppositional Harmony Search Algorithm for overshoot and settling time of the frequency deviation. From the results obtained, the proposed scheme outperformed that of the quasi-oppositional harmony search algorithm optimized controller by an average percentage improvement of 35.95% and 28.76% in the case of overshoot and settling time when the system step input was suddenly increased. All modelling analysis were carried out in MATLAB R2019b environment. Keywords—Frequency Deviation, Micro-grid, Moth flame optimization algorithm, Quasi-Oppositional Harmony Search Algorithm.

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