A comprehensive review on intelligent islanding detection techniques for renewable energy integrated power system

2021 ◽  
Author(s):  
Basanta K. Panigrahi ◽  
Anshuman Bhuyan ◽  
Jyoti Shukla ◽  
Prakash K. Ray ◽  
Subhendu Pati
Keyword(s):  
Renewable Energy ◽  
Power System ◽  
Islanding Detection ◽  
Comprehensive Review ◽  
Detection Techniques ◽  
Integrated Power System

scholarly journals Optimal Dispatch of High-Penetration Renewable Energy Integrated Power System Based on Flexible Resources

Energies ◽  
2020 ◽  
Vol 13 (13) ◽  
pp. 3456 ◽  
Author(s):  
Jiawei Feng ◽  
Junyou Yang ◽  
Haixin Wang ◽  
Huichao Ji ◽  
Martin Onyeka Okoye ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Power System ◽  
Optimal Operation ◽  
Pollutant Emissions ◽  
Optimal Dispatch ◽  
High Penetration ◽  
Flexible Resources ◽  
The Stability ◽  
Net Load ◽  
Integrated Power System

The volatility and uncertainty of high-penetration renewable energy (RE) challenge the stability of the power system. To tackle this challenge, an optimal dispatch of high-penetration RE based on flexible resources (FRs) is proposed to enhance the ability of the power system to cope with uncertain disturbances. Firstly, the flexibility of a high-penetration RE integrated power system is analyzed. The flexibility margin of power supply and flexible adaptability of RE are then introduced as the evaluation indices for optimal operation. Finally, a multi-objective optimal dispatch model for power system flexibility enhancement based on FRs under the constraint of flexibility indices is proposed. The simulation results show that the proposed optimal dispatch can effectively enhance the flexibility of the power system and the penetration of RE and reduce pollutant emissions. Compared with the conventional method, the daily average emissions of CO2, SO2, and NOx with the proposed method are reduced by about 83,600 kg, 870 kg, and 370 kg, respectively, the maximum allowable volatility of net load is increased by 7.63%, and the average volatility of net load is reduced by 2.67%.

scholarly journals Comprehensive Review of Islanding Detection Methods for Distributed Generation Systems

Energies ◽  
2019 ◽  
Vol 12 (5) ◽  
pp. 837 ◽  
Author(s):  
Min-Sung Kim ◽  
Raza Haider ◽  
Gyu-Jung Cho ◽  
Chul-Hwan Kim ◽  
Chung-Yuen Won ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Distributed Generation ◽  
Energy Utilization ◽  
Detection Methods ◽  
Research Trend ◽  
Islanding Detection ◽  
Renewable Energy Resources ◽  
Comprehensive Review ◽  
Electric Power Networks ◽  
Utility Network

The increased penetration of distributed generation (DG), renewable energy utilization, and the introduction of the microgrid concept have changed the shape of conventional electric power networks. Most of the new power system networks are transforming into the DG model integrated with renewable and non-renewable energy resources by forming a microgrid. Islanding detection in DG systems is a challenging issue that causes several protection and safety problems. A microgrid operates in the grid-connected or stand-alone mode. In the grid-connected mode, the main utility network is responsible for a smooth operation in coordination with the protection and control units, while in the stand-alone mode, the microgrid operates as an independent power island that is electrically separated from the main utility network. Fast islanding detection is, therefore, necessary for efficient and reliable microgrid operations. Many islanding detection methods (IdMs) are proposed in the literature, and each of them claims better reliability and high accuracy. This study describes a comprehensive review of various IdMs in terms of their merits, viability, effectiveness, and feasibility. The IdMs are extensively analysed by providing a fair comparison from different aspects. Moreover, a fair analysis of a feasible and economical solution in view of the recent research trend is presented.

Generation scheduling with large-scale integration of renewable energy sources using grey wolf optimization

2018 ◽  
Vol 12 (4) ◽  
pp. 675-695
Author(s):  
R. Saravanan ◽  
S. Subramanian ◽  
S. SooriyaPrabha ◽  
S. Ganesan
Keyword(s):  
Renewable Energy ◽  
Power System ◽  
Power Plants ◽  
Renewable Energy Sources ◽  
Electrical Power ◽  
Grey Wolf ◽  
Grey Wolf Optimization ◽  
Content Type ◽  
Generation Scheduling ◽  
Integrated Power System

Purpose Generation scheduling (GS) is the most prominent and hard-hitting problem in the electrical power industry especially in an integrated power system. Countless techniques have been used so far to solve this GS problem for proper functioning of the units in the power system to dispatch the load economically to consumers at once. Therefore, this work aims to study for the best possible function of integrated power plants to obtain the most favourable solution to the GS problem. Design/methodology/approach An appropriate method works in a proper way and assures to give the best solution to the GS problem. The finest function of incorporated power plants should be mathematically devised as a problem and via that the aim of the GS problem to minimize the total fuel cost subject to different constraints will be achieved. In this research work, the latest meta-heuristic and swarm intelligence-based technique called grey wolf optimization (GWO) technique is used as an optimization tool that will work along with the formulated problem for correct scheduling of generating units and thus achieve the objective function. Findings The recommended GWO technique provides the best feasible solution which is optimal in its performance for different test cases in the GS problem of integrated power plant. It is further found that the obtained solutions using GWO method are better than the former reports of other traditional methods in terms of solution excellence. The GWO method is found to be unique in its performance and having superior computational efficiency. Practical implications Decision making is significant for effective operation of integrated power plants in an electrical power system. The recommended tactic implements a modern meta-heuristic procedure that is applied to diverse test systems. The method that is proposed is efficient in providing the best solutions of solving GS problems. The suggested method surpasses the early techniques by offering the most excellent feasible solutions. Thus, it is obvious that the proposed method may be the appropriate substitute to attain the optimal operation of GS problem. Social implications Renewable energy sources are discontinuous and infrequent in nature, and it is tough to predict them in general. Further, integrating renewable energy source-based plants with the conventional plant is extremely difficult to operate and maintain. Operation of integrated power system is full of challenges and complications. To handle those complications and challenges, the GWO algorithm is suggested for solving the GS problem and thus obtain the optimal solution in integrated power systems by considering the reserve requirement, load balance, equality and inequality constraints. Originality/value The proposed system should be further tested on diverse test systems to evaluate its performance in solving a GS problem and the results should be compared. Computation results reveal that the proposed GWO method is efficient in attaining best solution in GS problem. Further, its performance is effectively established by comparing the result obtained by GWO with other traditional methods.

scholarly journals A comprehensive review: Machine learning and its application in integrated power system

2021 ◽  
Vol 7 ◽  
pp. 5467-5474
Author(s):  
Aanand Kumbhar ◽  
Pravin G. Dhawale ◽  
Shobha Kumbhar ◽  
Uday Patil ◽  
Pravin Magdum
Keyword(s):  
Machine Learning ◽  
Power System ◽  
Comprehensive Review ◽  
Integrated Power System

Frequency Control Method using Automated Demand Response for Isolated Power System with Renewable Energy Sources

2017 ◽  
Vol 18 (5) ◽  
Author(s):  
Takahiro Uehara ◽  
Dang Ngoc Son ◽  
Hidehito Matayoshi ◽  
Mohamed Lotfy ◽  
Tomonobu Senju ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Power System ◽  
Demand Response ◽  
Control Method ◽  
Frequency Control ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
The Stability ◽  
System Frequency ◽  
Integrated Power System

AbstractIn response to mounting concerns regarding environmental problem and depletion of Energy Resources, the introduction of Renewable Energy Sources (RESs), has been advancing in recent years. The system frequency deviation is a serious problem for a RESs-integrated power system. In this paper, we propose a system frequency control method using the automated demand response (ADR) for an isolated power system with RESs. The ADR can automatically adjust the consumption power of appliances after receiving the DR signal. It is assumed that consumption power of controllable loads is automatically varied based on the electricity price information from the real-time pricing (RTP). This method improves the supply-demand balancing, and hence the system frequency control is achieved. Furthermore, the stability of controller is demonstrated by indicating the poles of the control system.

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