A dsPIC based optimal sizing of solar PV plant using ultra capacitors for transient power delivery

2019 ◽  
Vol 71 ◽  
pp. 102893 ◽  
Author(s):  
K. Karthikeyan ◽  
S.K. Patnaik ◽  
M. Baskar ◽  
E. Jeyashree
Keyword(s):  
Power Delivery ◽  
Solar Pv ◽  
Optimal Sizing

Optimal Sizing and Analysis of Solar PV, Wind, and Energy Storage Hybrid System for Campus Microgrid

Smart Science ◽  
2017 ◽  
Vol 6 (2) ◽  
pp. 150-157 ◽  
Author(s):  
Furkan Ahmad ◽  
Mohammad Saad Alam
Keyword(s):  
Energy Storage ◽  
Hybrid System ◽  
Solar Pv ◽  
Optimal Sizing

Optimal Power Delivery from Hybrid Micro-grid to Provide Frequency Regulation

2020 ◽  
Vol 13 (6) ◽  
pp. 879-884 ◽  
Author(s):  
Nur Mohammad ◽  
Kowshik Debnath ◽  
Mahfuzur Rahman ◽  
Shamsul Arifin
Keyword(s):  
Wind Farm ◽  
Control Method ◽  
Power Delivery ◽  
Effective Control ◽  
Frequency Regulation ◽  
Solar Pv ◽  
Diesel Generator ◽  
Control Approach ◽  
Load Demand ◽  
Optimal Power

Background: This paper presents an optimal power delivery system for a hybrid microgrid consisting of a solar PV, wind farm, battery storage and diesel generator. The fuzzy logicbased control approach is used to match the generation and consumers’ demand. Methods: The load demand is assumed to vary hourly in a day and season to season in a year. The frequency of AC (alternating current) bus may deviate from standard frequency due to supplydemand imbalance and thus make the system unstable. Results: To overcome the situation, the controller actuates a control signal to maintain system frequency. Frequency deviation is an indication of the load change and battery voltage (state of charge) is taken as input. In case of excessive generation, the extra power will be absorbed in the dump load for an isolated system. Conclusion: Whereas, for a grid-connected system, the surplus generation is fed into the grid. This cost-effective control method ensures the balance between generation and load demand at all times.

scholarly journals Techno-Economic Optimization of Grid-Connected Photovoltaic (PV) and Battery Systems Based on Maximum Demand Reduction (MDRed) Modelling in Malaysia

Energies ◽  
2019 ◽  
Vol 12 (18) ◽  
pp. 3531 ◽  
Author(s):  
Subramani ◽  
Ramachandaramurthy ◽  
Sanjeevikumar ◽  
Holm-Nielsen ◽  
Blaabjerg ◽  
...  
Keyword(s):  
Energy Savings ◽  
Peak Load ◽  
Net Energy ◽  
Solar Pv ◽  
Economic Traits ◽  
Monthly Basis ◽  
Battery System ◽  
Optimal Sizing ◽  
Demand Reduction ◽  
Electricity Tariff

Under the present electricity tariff structure in Malaysia, electricity billing on a monthly basis for commercial and industrial consumers includes the net consumption charges together with maximum demand (MD) charges. The use of batteries in combination with photovoltaic (PV) systems is projected to become a viable solution for energy management, in terms of peak load shaving. Based on the latest studies, maximum demand (MD) reduction can be accomplished via a solar PV-battery system based on a few measures such as load pattern, techno-economic traits, and electricity scheme. Based on these measures, the Maximum Demand Reduction (MDRed) Model is developed as an optimization tool for the solar PV-battery system. This paper shows that energy savings on net consumption and maximum demand can be maximized via optimal sizing of the solar PV-battery system using the MATLAB genetic algorithm (GA) tool. GA optimization results revealed that the optimal sizing of solar PV-battery system gives monthly energy savings of up to 20% of net consumption via solar PV self-consumption, 3% of maximum demand (MD) via MD shaving and 2% of surplus power supplied to grid via net energy metering (NEM) in regards to Malaysian electricity tariff scheme and cost of the overall system.

scholarly journals Optimal sizing of Battery and Hydrogen Energy Storage Systems configurations in a Hybrid Renewable Microgrid

2021 ◽  
Vol 238 ◽  
pp. 09002
Author(s):  
Andrea Monforti Ferrario ◽  
Andrea Bartolini ◽  
Gabriele Comodi ◽  
Stephen John McPhail ◽  
Francisca Segura Manzano ◽  
...  
Keyword(s):  
Energy Storage ◽  
Storage Systems ◽  
Storage System ◽  
System Capacity ◽  
Hydrogen Energy ◽  
Solar Pv ◽  
Energy Storage Systems ◽  
Horizontal Axis Wind Turbine ◽  
Suitable Alternative ◽  
Optimal Sizing

Considering the increasing penetration of variable and non-dispatchable renewable energy in worldwide electricity mixes, an increasing requirement for energy storage capacity is foreseen in order to decouple production and demand. Electrochemical battery systems and/or hydrogen systems (electrolysers and fuel cells) provide a suitable alternative to be implemented in local small-to-medium scale microgrid environments. The research aims to address the optimal sizing of an Energy Storage System composed of lead acid batteries and a hydrogen loop (electrolyser, compressed storage tank and fuel cell) within an actual hybrid renewable microgrid located in Huelva, Spain. The energy storage systems must couple the variable production of 15 kWp of solar PV systems and a 3 kWnom horizontal axis wind turbine to a real monitored residential load, which present a time-shifted power demand. By making use of previously developed and validated component models, three storage configurations (battery-only, hydrogen-only and hybrid batteryhydrogen) are assessed via parametrical variation in yearly simulations in hourly timestep, analysing the Loss of Load (LL) and Over Production (OP) output values. The results provide quantitative information regarding the optimal storage system capacity in each configuration providing valuable insight in terms of sizing of the energy storage systems in the long-term.

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