A scalable and robust approach to demand side management for smart grids with uncertain renewable power generation and bi-directional energy trading

Author(s):  
Ren-Shiou Liu ◽  
Yu-Feng Hsu
2021 ◽  
Vol 4 (2) ◽  
pp. 32-37
Author(s):  
Muhammad Hamza ◽  
Ahmed Muddassir Khan

 Nowadays, renewable power generation has transformed to an important substitute to conventional power generation and severe the energy crisis of present-days. Apace thriving manufacturing division is swelling day by day and their energy marketability is also advancing. The potential of renewable energy is inclining every year, so the integration pace of renewable power in the system has inclined. However, influenced by meteorological and environmental terms and conditions the efficiency of renewable power generation often switches randomly, which disturbs the balance of power and voltage tenacity of power system. Also power precent is a giant contributor in green house gas emissions. United nation 17 sustainable development goals encourage enhancing the capability of power generation by utilizing industrial revolution 4.0 features. Industrial revolution 4.0 main factors are eco friendly and free gas emissions energy. Due to the renewable energy regulation introduced by the government under Alternative Energy Development Board to generate electricity from natural resources rather than fossil fuel. In this frame work industrial revolution 4.0 facilitate for extensive integration of renewable power into the network which is a massive task for power system operators and also for renewable energy farms to dispatch the power and taking critical actions. Industrial revolution 4.0 provides different pillars to overcome these issues likewise interoperability connects machine, objects and humans through internet of things to make smart grids. Uncertainty is the biggest challenge in renewable energy which can’t be eliminated but it can be manageable by virtualization. Through cyber physical system, computational proficiency and physical assets are interconnected for transformation advancement in the system, smart decision acquire to form a reliable and accurate data.


Author(s):  
K Hareesh ◽  
A Siva Satya Reddy ◽  
Ch Dinesh ◽  
Imran Abdul

Now a days, Renewable Energy Resources are playing a vital role in power system to meet the demand. As Renewable Resources includes solar power, Wind power generation they are eco-friendly in the aspect of power generation. It is progress a step forward to integrate the renewable power along with base load plants such as Thermal power plant. With the advancement in the network Technology, smart meters had became the key components in maintaining the power system to behave smartly by the demand side management. On the other hand, the sudden loss of Generation due to natural calamities like cyclones, will become a great burden on the power system. And thus the power system will try to be out of synchronization and leads to the problem of unstable. This is because of high penetration of Renewable power source like solar, wind etc...in to the Grid. Hence this type of scenario results in BLACKOUT of the power system which means the whole power system is going to be shut down and the whole world will remain in the darkness. To avoid the above situation, Demand Side Management is the best solution which is possible with controllable loads and load controller together called as Smart meter. This will play a key role is retaining the system frequency and LOAD FREQUENCYCONTROL will be improved further. In this project, we are going to simulate the simulink model of power system LOAD FREQUENCY CONTROL WITH CONTROLLABLE LOADS in MATLAB


Author(s):  
Sharmini Nakkela

Abstract: Modern study about utilizing energy from renewable energy sources was stimulus due to emerging oil crisis in older days due to uncontrolled use of conventional energy sources. Renewable Power Generation from wind and solar energy has become a significant proportion for the overall power generation in the grid. High penetration of Renewable Power Generation (RPG’s) effectreliable operation of bulk power system due to fluctuation of frequency and voltage of the network. The main objectives of high penetration of Renewable Power Generations in distribution system are Regulation of voltage, Mitigating voltage fluctuations due to flickers and Frequency control. The design and control of voltage regulation system using smart loads (SL’s) under large penetration of renewable energy system in distribution level is to be studied with the help of FACT devices like Static Compensator (STATCOM) and It is one of the fast active devices with accurate voltage regulation capability and most importantly for the sensitive/critical loads. Electric spring (ES) is proposed as compelling technique for guideline of framework voltage under fluctuating RPG's with next to no guide of correspondence framework [1]. It is a converter-based framework with self-commutated switches in span design, which is associated with non-basic burdens in series to go about as savvy load. These Smart Loads are controlled to direct voltage across basic burdens and hence partaking popular side administration. Expanded entrance of RPG’s, basically factor speed wind energy transformation framework is having impact on voltage and power quality [1][2]. In this paper, A contextual analysis of impact of variable speed wind energy framework on voltage is completed and which is demonstrated with fluctuating breeze speed. Execution examination of keen burdens are to be contrasted and existing receptive power compensator burdens and Improvement in voltage profile on test feeder is directed on a 3 Bus system and 15 Bus system. Keywords: Renewable energy system (RES), Electric spring (ES), STATCOM, Voltage Flicker, Smart load


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