scholarly journals Design Models for Power Flow Management of a Grid-Connected Solar Photovoltaic System with Energy Storage System

Energies ◽  
2020 ◽  
Vol 13 (9) ◽  
pp. 2137
Author(s):  
Mariz B. Arias ◽  
Sungwoo Bae
Keyword(s):  
Power Flow ◽  
Storage System ◽  
Energy Storage System ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Pv System ◽  
Load Power ◽  
Solar Pv System ◽  
Power Forecasting

This paper provides models for managing and investigating the power flow of a grid-connected solar photovoltaic (PV) system with an energy storage system (ESS) supplying the residential load. This paper presents a combination of models in forecasting solar PV power, forecasting load power, and determining battery capacity of the ESS, to improve the overall quality of the power flow management of a grid-connected solar PV system. Big data tools were used to formulate the solar PV power forecasting model and load power forecasting model, in which real historical solar electricity data of actual solar homes in Australia were used to improve the quality of the forecasting models. In addition, the time-of-use electricity pricing was also considered in managing the power flow, to provide the minimum cost of electricity from the grid to the residential load. The output of this model presents the power flow profiles, including the solar PV power, battery power, grid power, and load power of weekend and weekday in a summer season. The battery state-of-charge of the ESS was also presented. Therefore, this model may help power system engineers to investigate the power flow of each system of a grid-connected solar PV system and help in the management decision for the improvement of the overall quality of the power management of the system.

Modeling and Optimization of Solar PV System With Pumped Hydro Energy Storage System

2021 ◽  
pp. 147-185
Keyword(s):  
Energy Storage ◽  
Storage System ◽  
Economic Cost ◽  
Energy Storage System ◽  
Solar Pv ◽  
Pv System ◽  
Modeling And Optimization ◽  
Pv Panel ◽  
Cost Of Energy ◽  
Solar Pv System

Implementation of modified AHP coupled with MOORA methods for modeling and optimization of solar photovoltaic (PV)-pumped hydro energy storage (PHS) system parameter is presented in this chapter. Work optimized the parameters, namely unmet energy (UE), size of PV-panel, and volume of upper reservoir (UR), to get economic cost of energy (COE) and excess energy (EE). The trail no.11 produces the highest assessment values compared to the other trails and provides EE as 16.19% and COE as 0.59 $/kWh for PV-PHS. ANOVA and parametric study is also performed to determine the significance of the parameters for PV-PHS performance. Investigation results indicate the effectiveness and significant potential for modeling and optimization of PV-PHS system and other solar energy systems.

scholarly journals Chopper-Based Control Circuit for BESS Integration in Solar PV Grids

Energies ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 1530
Author(s):  
B. V. Rajanna ◽  
Malligunta Kiran Kumar
Keyword(s):  
Power Flow ◽  
Storage System ◽  
Lithium Ion ◽  
Energy Storage System ◽  
Solar Pv ◽  
Battery Energy Storage System ◽  
Battery Energy Storage ◽  
Pv Array ◽  
Battery Energy

The power delivered by photovoltaic (PV) arrays is dependent on environmental factors, and hence the availability and quality of power delivered by the PV array is low. These issues can be mitigated by integrating a battery energy storage system (BESS) with PV arrays. The integration of the BESS with PV arrays requires controller circuits to regulate power flow between the BESS, PV array, and the load. In this paper, a boost converter-based controller is proposed. The proposed controller has higher reliability and efficiency, and lower operational complexity. It improves the power quality and availability by adjusting the power flow to/from the BESS while delivering the required load power. A simulation study was performed to validate the proposed controller under varying irradiance and temperature of the PV array. The controller was validated against both lithium-ion and lead-acid BESSs.

Grid Parity of Residential Building Rooftop Solar PV in India

2021 ◽  
pp. 19-40
Author(s):  
Rakesh Dalal ◽  
Kamal Bansal ◽  
Sapan Thapar
Keyword(s):  
Residential Building ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Indian Government ◽  
Pv System ◽  
Pv Systems ◽  
Grid Parity ◽  
Solar Pv System ◽  
Utility Grid ◽  
Rooftop Solar

Rooftop solar photovoltaic(PV) installation in India have increased in last decade because of the flat 40 percent subsidy extended for rooftop solar PV systems (3 kWp and below) by the Indian government under the solar rooftop scheme. From the residential building owner's perspective, solar PV is competitive when it can produce electricity at a cost less than or equal grid electricity price, a condition referred as “grid parity”. For assessing grid parity of 3 kWp and 2 kWp residential solar PV system, 15 states capital and 19 major cities were considered  for the RET screen simulation by using solar isolation, utility grid tariff, system cost and other economic parameters. 3 kWp and 2 kWp rooftop solar PV with and without subsidy scenarios were considered for simulation using RETscreen software. We estimate that without subsidy no state could achieve grid parity for 2kWp rooftop solar PV plant. However with 3 kWp rooftop solar PV plant only 5 states could achieve grid parity without subsidy and with government subsidy number of states increased to 7, yet wide spread parity for residential rooftop solar PV is still not achieved. We find that high installation costs, subsidized utility grid supply to low energy consumer and financing rates are major barriers to grid parity.

scholarly journals Solar Concentrators In Malaysia: Towards The Development Of Low Cost Solar Photovoltaic Systems

2012 ◽  
Author(s):  
Firdaus Muhammad Sukki ◽  
Roberto Ramirez Iniguez ◽  
Scott G. Mcmeekin ◽  
Brian G. Stewart ◽  
Barry Clive
Keyword(s):  
Financial Analysis ◽  
Low Cost ◽  
Good Alternative ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Financial Benefit ◽  
Pv System ◽  
Solar Concentrators ◽  
Pv Systems ◽  
Solar Pv System

Solar energy has become a matter of global attention in the past few years. This paper explores the use and benefit of solar concentrators in the solar photovoltaic (PV) systems. First, a short literature review of previous research on the usage of solar concentrators in improving solar PV system performance and reducing the cost of implementation is presented. This is followed by an overview of SolarBrane, an example of a Building Integrated photovoltaic (BIPV) system which uses an optical concentrator in the solar PV design. An optimised design of the SolarBrane is also discussed afterwards. A financial benefit study is conducted to compare the average return of investment of using the optimised SolarBrane and traditional solar PV installed in Malaysia’s environment. SolarBrane has proven to be a good alternative to achieve costeffective solar PV system. The financial analysis simulated under the new Malaysian Feed–In Tariff scheme indicates that the optimised SolarBrane could potentially reduce the initial cost of implementation by 40% and generate higher return, close to 20%, when compared to traditional solar PV systems. Key words: Solar photovoltaic; solar concentrator; solarBrane; dielectric totally internally reflecting concentrator; financial analysis

scholarly journals Solar Photovoltaic Power Prediction Using Big Data Tools

2021 ◽  
Vol 13 (24) ◽  
pp. 13685
Author(s):  
Mariz B. Arias ◽  
Sungwoo Bae
Keyword(s):  
Big Data ◽  
Prediction Model ◽  
Solar Irradiance ◽  
Weather Data ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Power Prediction ◽  
Pv System ◽  
Generation Planning ◽  
Solar Pv System

Solar photovoltaic (PV) installation has been continually growing to be utilized in a grid-connected or stand-alone network. However, since the generation of solar PV power is highly variable because of different factors, its accurate forecasting is critical for a reliable integration to the grid and for supplying the load in a stand-alone network. This paper presents a prediction model for calculating solar PV power based on historical data, such as solar PV data, solar irradiance, and weather data, which are stored, managed, and processed using big data tools. The considered variables in calculating the solar PV power include solar irradiance, efficiency of the PV system, and characteristics of the PV system. The solar PV power profiles for each day of January, which is a summer season, were presented to show the variability of the solar PV power in numerical examples. The simulation results show relatively accurate forecasting with 17.57 kW and 2.80% as the best root mean square error and mean relative error, respectively. Thus, the proposed solar PV power prediction model can help power system engineers in generation planning for a grid-connected or stand-alone solar PV system.

scholarly journals Feasibility Study of Grid-Connected Solar Photovoltaic (PV) System for Primary School in Johor

2018 ◽  
Vol 11 (1) ◽  
pp. 233
Author(s):  
Siti Amely Jumaat ◽  
Adhwa Amsyar Syazwan Ab Majid ◽  
Chin Kim Gan ◽  
Mohd Noor Abdullah ◽  
Nur Hanis Radzi ◽  
...  
Keyword(s):  
Educational Institution ◽  
Project Planning ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
System Implementation ◽  
Huge Amount ◽  
Pv System ◽  
Pv Module ◽  
Solar Pv System ◽  
The Cost

This project aims to determine the potential of grid connected solar Photovoltaic (PV) implementation and project planning of solar PV System in school.  Generally, the educational institution used huge amount of electricity to operate so their monthly bills is expensive. Therefore, the project planning is necessary to determine the potential of solar PV system implementation. The project planning consists of the current electricity consumed by the school and the amount of 120W Monocrystalline PV module needed by them. The cost of project are determines to identify the initial cost of this project implementation. Lastly, analysis on the profit collected by SK Pintas Raya after 20 years of solar PV system implementation proved the importance of this project.

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