scholarly journals Optimal generation capacity mix in microgrid to meet demand

2021 ◽  
Vol 10 (3) ◽  
pp. 271
Author(s):  
Virendra Sharma ◽  
Piyush Kumar Choubey ◽  
Amit Kumar ◽  
Lata Gidwani
Keyword(s):  
Fuel Cell ◽  
Storage System ◽  
Energy Storage System ◽  
Optimal Size ◽  
Solar Pv ◽  
Scattered Electron ◽  
Pv System ◽  
Generation Capacity ◽  
Micro Grid ◽  
Battery Energy

<p>This paper presents an approach for optimal generation capacity mix to fulfill future power demand using a micro-grid model which is operated in both the on-grid and off-grid modes. This is achieved using the solar photovoltaic (PV) system, fuel-cell, and battery energy storage system (BESS) with and without the grid-connected mode. Different control approaches and optimal size of the generators are presented. Proposed micro grid with solar PV system, solid oxide fuel cell (SOFC) and back scattered electron detector (BESD) is tested for different operational scenarios of loads. Comparative index of performance (CIP) is introduced to indicate effectiveness of the micro-grid operations in the off-grid mode. This is based on difference in the total harmonic distortions (THD) in both the on-grid and off-grid modes. This is established that CIP indicates that the micro-grid works efficiently in the both the on-grid and off- grid modes during the simulated events of the switching ON/OFF the loads at different test conditions. The optimal generation mix successfully met the load demand with and without grid having conventional generatio.</p>

scholarly journals Design of a Smart Nanogrid for Increasing Energy Efficiency of Buildings

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3683
Author(s):  
Yerasimos Yerasimou ◽  
Marios Kynigos ◽  
Venizelos Efthymiou ◽  
George E. Georghiou
Keyword(s):  
Storage System ◽  
Energy Transition ◽  
Energy Storage System ◽  
Low Carbon ◽  
Pv System ◽  
Interconnected System ◽  
Low Carbon Economy ◽  
Energy Needs ◽  
Energy Domain ◽  
Battery Energy

Distributed generation (DG) systems are growing in number, diversifying in driving technologies and providing substantial energy quantities in covering the energy needs of the interconnected system in an optimal way. This evolution of technologies is a response to the needs of the energy transition to a low carbon economy. A nanogrid is dependent on local resources through appropriate DG, confined within the boundaries of an energy domain not exceeding 100 kW of power. It can be a single building that is equipped with a local electricity generation to fulfil the building’s load consumption requirements, it is electrically interconnected with the external power system and it can optionally be equipped with a storage system. It is, however, mandatory that a nanogrid is equipped with a controller for optimisation of the production/consumption curves. This study presents design consideretions for nanogrids and the design of a nanogrid system consisting of a 40 kWp photovoltaic (PV) system and a 50 kWh battery energy storage system (BESS) managed via a central converter able to perform demand-side management (DSM). The implementation of the nanogrid aims at reducing the CO2 footprint of the confined domain and increase its self-sufficiency.

scholarly journals Battery Sizing for Different Loads and RES Production Scenarios through Unsupervised Clustering Methods

Forecasting ◽  
2021 ◽  
Vol 3 (4) ◽  
pp. 663-681
Author(s):  
Alfredo Nespoli ◽  
Andrea Matteri ◽  
Silvia Pretto ◽  
Luca De De Ciechi ◽  
Emanuele Ogliari
Keyword(s):  
Power Generation ◽  
Renewable Energy Sources ◽  
Storage System ◽  
Energy Storage System ◽  
Hybrid Plant ◽  
Unsupervised Clustering ◽  
Clustering Methods ◽  
Pv System ◽  
Feasible Solutions ◽  
Battery Energy

The increasing penetration of Renewable Energy Sources (RESs) in the energy mix is determining an energy scenario characterized by decentralized power production. Between RESs power generation technologies, solar PhotoVoltaic (PV) systems constitute a very promising option, but their production is not programmable due to the intermittent nature of solar energy. The coupling between a PV facility and a Battery Energy Storage System (BESS) allows to achieve a greater flexibility in power generation. However, the design phase of a PV+BESS hybrid plant is challenging due to the large number of possible configurations. The present paper proposes a preliminary procedure aimed at predicting a family of batteries which is suitable to be coupled with a given PV plant configuration. The proposed procedure is applied to new hypothetical plants built to fulfill the energy requirements of a commercial and an industrial load. The energy produced by the PV system is estimated on the basis of a performance analysis carried out on similar real plants. The battery operations are established through two decision-tree-like structures regulating charge and discharge respectively. Finally, an unsupervised clustering is applied to all the possible PV+BESS configurations in order to identify the family of feasible solutions.

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.

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