Economic load sharing in a D-STATCOM Integrated Islanded Microgrid based on Fuzzy Logic and Seeker Optimization Approach

Choudhury, Subhashree; Bhowmik, Pritam; Rout, Pravat Kumar

doi:10.1016/j.scs.2017.11.004

Cited by 42 publications

(17 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…33,34 FACTS are also used in different studies for improving the load balancing capability of an islanded microgrid. The study in Choudhury et al 35 proposed an optimized dynamic PI controller based on fuzzy logic and seeker optimization approach in a D-STATCOM integrated islanded microgrid to implement economic load sharing.…”

Section: Overview Of Microgrid Operation Modesmentioning

confidence: 99%

A review on real‐time simulation and analysis methods of microgrids

Ahmadiahangar

Rosin

Niaki

et al. 2019

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

Summary Microgrid is a recently developed concept for future power systems. The main characteristics of the microgrid are the capability of integration of renewable energy sources and the ability to operate in two grid‐connected and islanded modes. A significant challenge of microgrid implementation is developing comprehensive control methods to ensure efficient, stable, and reliable operation. Real‐time studies are a promising approach in this case. In this paper, various real‐time energy management approaches have been thoroughly explained following a new categorization of them. A significant literature review of real‐time simulation and modeling methods has also been presented. A review of different applications of hardware‐in‐the‐loop testing of the microgrid is included in the present study. Finally, a discussion on demand for further research has been made. The presented work is organized to allow a reader to understand the importance of real‐time studies of microgrids and highlight trends in literary works without delving deeply into each one.

show abstract

Section: Overview Of Microgrid Operation Modesmentioning

confidence: 99%

A review on real‐time simulation and analysis methods of microgrids

Ahmadiahangar

Rosin

Niaki

et al. 2019

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

show abstract

“…The increasing number of population and widespread of technology devices all over the world is creating a rising demand of electrical power. This growth is triggering the need for more power generation, and because conventional energy sources like coal and oil are decaying and causing climatic pollution, the need to develop renewable and sustainable alternatives has arisen [1]. Nevertheless, while electrical centralized plants are economic and easily scalable, this scalability comes at a price: their long transmission lines always require additional power to compensate the transmission and distribution losses.…”

Section: Introductionmentioning

confidence: 99%

Artificial Neural Network Active Power Filter with Immunity in Distributed Generation

Kadem

Semmah

Wira

et al. 2020

Period. Polytech. Mech. Eng.

View full text Add to dashboard Cite

With an electrical grid shifting toward Distributed Generation (DG), the emerging use of renewable energy resources is continuously creating challenges to maintain an acceptable electrical power quality thought-out the grid; Therefore, in an energy market where loads are becoming more and more sensitive in a distributed generation filled with polluting nonlinear loads, power quality improvement devices such Active Power Filters (APFs) have to evolve to meet the new standards, since theirs conventional control strategies can't properly operate when multiple power quality problems happens at once, even the one using AI based control as it will be proven in this paper. In this paper a neural network based Active Power Filter will be tested in a DG environment where both current and voltage harmonics, along with fast frequency variation occurs, we will see how the PLL can downgrade its performances enormously under such hostile conditions, We propose to solve this problem by replacing the conventional PLL with a nonlinear least square (NLS) frequency estimator, this novel NLS-ADALINE SAPF is immune in high DG penetration environment, as it will be tested and validated experimentally on an Opal-RT OP5600 FPGA based real-time simulator.

show abstract

“…the system uses two types of GA; one of them generates the day time scheduling management of the microgrid and the other on optimizes the FLEMS that controls the battery storage operation. A microgrid comprises hybrid micro-sources which are PV and FC, is proposed in Reference [20] to reduce the energy cost and ensure reliable energy supply giving the priority to the renewable resource. A modified seeker optimization approach (SOA) was used to tune the membership functions of the FLC in order to compute the gain factors of the dynamic proportional integral (DIP) controller.…”

Section: Introductionmentioning

confidence: 99%

An Energy Management System for Residential Autonomous DC Microgrid Using Optimized Fuzzy Logic Controller Considering Economic Dispatch

et al. 2019

View full text Add to dashboard Cite

This work presents the operation of an autonomous direct current (DC) DC microgrid for residential house controlled by an energy management system based on low complexity fuzzy logic controller of only 25-rules to manage the power flow that supply house load demand. The microgrid consists of photovoltaic (PV), wind turbine, fuel cell, battery energy storage and diesel generator. The size of the battery energy storage is determined based on the battery sizing algorithm depending on the generation of renewables during all seasons of the year in the eastern region of Saudi Arabia. Two scenarios are considered in this work. In the first scenario: the microgrid consists of solar PV, wind turbine, battery energy storage and fuel cell. The fuzzy logic controller is optimized using an artificial bee colony technique in order to increase the system energy saving efficiency and to reduce the cost. In the second scenario: wind turbine is replaced by a diesel generator, also the rated power of the fuel cell is reduced. In this scenario, a new method is proposed to reduce the generation cost of the dispatchable sources in the microgrid by considering economic dispatch within the optimized fuzzy logic energy management system. To obtain the most suitable technique for solving the economic dispatch problem, three optimization techniques were used which are particle swarm optimization, genetic algorithm and artificial bee colony based on real environmental data and real house load demand. A comparison in terms of energy saving between the two scenarios and a comparison in terms of cost reduction between conventional economic dispatch method and the proposed method are presented.

show abstract

Economic load sharing in a D-STATCOM Integrated Islanded Microgrid based on Fuzzy Logic and Seeker Optimization Approach

Cited by 42 publications

References 25 publications

A review on real‐time simulation and analysis methods of microgrids

A review on real‐time simulation and analysis methods of microgrids

Artificial Neural Network Active Power Filter with Immunity in Distributed Generation

An Energy Management System for Residential Autonomous DC Microgrid Using Optimized Fuzzy Logic Controller Considering Economic Dispatch

Contact Info

Product

Resources

About