Efficient energy management of hybrid renewable energy sources‐based smart‐grid system using a hybrid IDEA‐CFA technique

2021 ◽  
Author(s):  
Bapayya Naidu Kommula ◽  
Heqing Song ◽  
Liang Chen ◽  
Chunxiang Xu
Keyword(s):  
Renewable Energy ◽  
Smart Grid ◽  
Energy Management ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Grid System ◽  
Efficient Energy ◽  
Smart Grid System ◽  
Hybrid Renewable Energy

Hybrid renewable energy systems for power flow management in smart grid using an efficient hybrid technique

2020 ◽  
Vol 42 (11) ◽  
pp. 2068-2087
Author(s):  
Kumaravel Sureshkumar ◽  
Vijayakumar Ponnusamy
Keyword(s):  
Renewable Energy ◽  
Smart Grid ◽  
Power Flow ◽  
Search Algorithm ◽  
Energy Sources ◽  
Grid System ◽  
Flow Management ◽  
Control Signals ◽  
Smart Grid System ◽  
Hybrid Renewable Energy

Efficient approach for power flow management of hybrid renewable energy system connected smart grid system is proposed in this paper. Here, the proposed approach is the combination of both the modified elephant herding optimization algorithm with tabu search algorithm named as MEHOTSA. In the proposed technique, the modified elephant herding optimization algorithm plays out the assessment procedure to establish the exact control signals for the system and builds up the control signals database for the offline way in light of the power variety between source side and the load side. The multi-objective function is shaped by the grid required active power and reactive power varieties generated based on the accessible source power. The accomplished dataset is used to work the Tabu search algorithm on the online way and it leads the control procedure in less execution time. The proposed technique-based control model enhances the control parameters of the power controller in light of the power flow varieties. By utilizing the proposed methodology, the power flow management of the smart grid system is controlled dependent on the source side and load side parameters varieties. Additionally, the proposed methodology is in charge of controlling the energy sources so as to produce the power demanded by the grid, utilizing optimally both renewable energy sources and energy storage devices. Finally, the proposed model be actualized in MATLAB/Simulink platform and the performance are compared with other techniques.

scholarly journals An Efficient Energy Management in Smart Grid Considering Demand Response Program and Renewable Energy Sources

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Ateeq Ur Rehman ◽  
Ghulam Hafeez ◽  
Fahad R. Albogamy ◽  
Zahid Wadud ◽  
Faheem Ali ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Smart Grid ◽  
Energy Management ◽  
Demand Response ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Efficient Energy ◽  
Demand Response Program

Optimum utilization of grid connected hybrid renewable energy sources using hybrid algorithm

2020 ◽  
pp. 014233122091374
Author(s):  
M. Suresh ◽  
R. Meenakumari
Keyword(s):  
Renewable Energy ◽  
Tabu Search ◽  
Smart Grid ◽  
Optimization Algorithm ◽  
Renewable Energy Sources ◽  
Whale Optimization Algorithm ◽  
Computational Time ◽  
Energy Sources ◽  
Whale Optimization ◽  
Hybrid Renewable Energy

An optimal utilization of smart grid connected hybrid renewable energy sources is proposed in this paper. The hybrid technique is the combination of recurrent neural network and adaptive whale optimization algorithm plus tabu search, called AWOTS. The main objective is the RES optimum operation for decreasing the electricity production cost by hourly day-ahead and real time scheduling. Here, the load demands are predicted using AWOTS to develop the correct control signals based on power difference between source and load side. Adaptive whale optimization algorithm searching behaviour is adjusted by tabu search. The proposed technique is executed in the MATLAB/Simulink working platform. To test the performance of the proposed method, the load demand for the 24-hour time period is demonstrated. By then the power generated in the sources, such as photovoltaic, wind turbine, micro turbine and battery by the proposed technique, is analyzed and compared with existing techniques, such as genetic algorithm, particle swarm optimization and whale optimization algorithm. Furthermore, the state of charge of the battery for the 24-hour period is compared with existing techniques. Likewise, the cost of the system is compared and error in the sources also compared. The comparison results affirm that the proposed technique has less computational time (35.001703) than the existing techniques. Moreover, the proposed method is cost-effective power production of smart grid and effective utilization of renewable energy sources without wasting the available energy.

scholarly journals An Solution for Unit Commitment Problem of Wind and PV based Smart Grid using BAT Algorithm

2020 ◽  
Vol 9 (4) ◽  
pp. 120-124
Keyword(s):  
Renewable Energy ◽  
Smart Grid ◽  
Unit Commitment ◽  
Renewable Energy Sources ◽  
Bat Algorithm ◽  
Energy Sources ◽  
Technological Advancement ◽  
Unit Commitment Problem ◽  
Commitment Problem ◽  
Hybrid Renewable Energy

With the technological advancement, renewable energy sources are becoming more integrated to grid. With the smart grid technologies, the renewable energy sources will penetrate more into the grid. With increase of penetration of these renewable sources, will affect the unit commitment process. This paper concentrate the inducing Hybrid renewable energy sources in the smart grid. Unit commitment problem of Hybrid renewable energy sources into a smart grid is discussed in this paper . The IEEE reliable 24 bus system is considered to test the proposed unit commitment problem using bat algorithm. The paper shows the reduction of production cost when the penetration of wind power into the power system.

Application of Optimization to Sizing Renewable Energy Systems and Energy Management in Microgrids

2022 ◽  
pp. 60-94
Author(s):  
Khaled Dassa ◽  
Abdelmadjid Recioui
Keyword(s):  
Renewable Energy ◽  
Smart Grid ◽  
Control Systems ◽  
Energy Management ◽  
Power Grid ◽  
Renewable Energy Sources ◽  
Energy Systems ◽  
Optimization Techniques ◽  
Energy Sources ◽  
Huge Investment

The smart grid is the aggregation of emerging technologies in both hardware and software along with practices to make the existing power grid more reliable and ultimately more beneficial to consumers. The smart grid concept is associated with the production of electricity from renewable energy sources (RES). For the distant isolated regions, microgrids (MG) with RES are offering a suitable solution for remote and isolated region electrification. The improper sizing would lead to huge investment cost which could have been avoided. The objective of this chapter is to review the state-of-the-art studies on the use of optimization techniques to renewable energy design and sizing. The chapter reviews the optimization techniques employed at different components of the microgrid including the energy sources, storage elements, and converters/inverters with their control systems.

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