Design of Fuzzy Controller for Improvement of Transient Stability of Hybrid Energy Generation System

In this proposal, microcontroller-based energy flow control was designed in order to effectively and efficiently enable the use of energy sources in a hybrid energy generation system including wind, solar, and hydrogen energy. It was assumed that the hybrid energy generation system is dynamic during the design of the microcontroller-based energy flow control. A wind–solar energy generation system was determined as the base load power plant. Depending on the demand, the battery group and fuel cell were activated effectively. If an energy surplus occurred, it was stored in battery groups and transformed into hydrogen energy via a hydrogen generator simultaneously. In addition to providing energy sustainability, a constant active status of the energy storage group was prevented and the physical life of the group was prolonged by means of the microcontroller-based control system. If consumer demand could not be met by the main energy sources including wind and solar energy, the battery groups and fuel cell were activated and provided the energy sustainability. After a certain level of charge was reached in the battery group, it was deactivated via the control system in order to prevent unnecessary use of energy. By means of the microcontroller-based control system, the usage of energy generated with the hybrid energy generation system was analysed according to its efficiency.

Download Full-text

Feasibility Study of Hybrid Wind-Diesel-Battery Power Generating Systems: Parametric and Sensitivity Analysis

MATEC Web of Conferences ◽

10.1051/matecconf/201817101004 ◽

2018 ◽

Vol 171 ◽

pp. 01004 ◽

Cited By ~ 3

Author(s):

Hussein Ibrahim ◽

Mazen Ghandour ◽

Georges El-Jamal

Keyword(s):

Hybrid System ◽

Fossil Fuels ◽

Assessment Tool ◽

Energy Generation ◽

Energy System ◽

Generation System ◽

Hybrid Energy ◽

Grid Connection ◽

Hourly Data ◽

Renewable Energy Generation

The renewables energies are being used to reduce the environmental pollution, combat the climate change and burning of fossil fuels. For remote or decentralized areas, where grid connection is very complex, renewable energy generation system can be a reliable and optimized source of energy. Moreover, wind-diesel-solar hybrid system technology promises lots of opportunities in remote areas which are far from the main grid and are supplied by diesel gensets. This paper is based on the analysis of a hybrid energy system for optimization. The analysis of the hybrid system is realized in the HOMER software package. The HOMER software was utilized as the assessment tool with modeling performed with hourly data of wind speed, solar radiation and load. In this study, the remote village of Tuktoyaktuk situated in Northwest Territories of Canada has been taken for the discussion of the optimization analysis of a hybrid energy generation system.

Download Full-text

Optimal planning of hybrid energy generation system in the microgrid considering direct load control

2017 International Conference on Fuzzy Theory and Its Applications (iFUZZY) ◽

10.1109/ifuzzy.2017.8311802 ◽

2017 ◽

Author(s):

Shan Cheng ◽

Zhen Liu ◽

TianLi Huang ◽

XiaoYu Jiang ◽

Rong-Jong Wai

Keyword(s):

Energy Generation ◽

Load Control ◽

Optimal Planning ◽

Generation System ◽

Hybrid Energy ◽

Direct Load Control

Download Full-text

Interval Reliability Evaluation of a Hybrid Energy Generation System With Energy Storage

Frontiers in Energy Research ◽

10.3389/fenrg.2021.792525 ◽

2021 ◽

Vol 9 ◽

Author(s):

Shiyu Ji ◽

Yi Sun ◽

Lin Gao ◽

Huaizhi Yang ◽

Wanqing Jia ◽

...

Keyword(s):

Energy Storage ◽

Wind Power ◽

Power Supply ◽

Energy Generation ◽

Reliability Evaluation ◽

Maximum Power ◽

Generation System ◽

Hybrid Energy ◽

Interval Reliability ◽

Supply Reliability

To deal with the uncertainties of wind power and load residing in the power supply reliability model, an interval reliability evaluation method is proposed by combining the wind power generation and energy storage system (ESS). Firstly, the interval power supply reliability evaluation model, which belongs to an interval mixed integer program (IMIP), is established based on the interval variables. Secondly, the IMIP model is transformed into the deterministic optimization model under two extreme circumstances by utilizing the possibility degree theory of interval numbers. The maximum power supply probability, considering the wind power interval to meet the load demand interval, is sought by optimizing outputs of the ESS and generators, i.e., the upper boundary of the load shedding is the smallest. Finally, the states of wind turbines and generators are generated based on sequential Monte Carlo simulation, and the reliability of the hybrid energy generation system is evaluated by calculating the loss of load expectation, expected energy not supplied, and maximum power supply probability, which provides a basis for establishing interval optimal allocation model of energy storage. IEEE RTS-24 test system is utilized to verify the performance of the proposed method, and the model is solved by the CPLEX 12.7 solver. The simulation results demonstrate the effectiveness and applicability of the proposed method.

Download Full-text