Optimal Design and Management of a Hybrid Photovoltaic-Pump Hydro Energy Storage System

2014 ◽  
Author(s):  
Anna Stoppato ◽  
Giovanna Cavazzini ◽  
Alberto Benato ◽  
Nicola Destro ◽  
Guido Ardizzon
Keyword(s):  
Combustion Engine ◽  
Storage System ◽  
Energy Storage System ◽  
Remote Areas ◽  
Managing Strategy ◽  
Access To Water ◽  
Domestic Use ◽  
Local Water ◽  
Photovoltaic Plant ◽  
Swarm Theory

The exploitation of renewable sources is an opportunity to increase the number of people who have access to electricity. To assure better living conditions, the free and simple access to water is another fundamental key point in many developing countries. Stand-alone photovoltaic pumping systems are often installed in remote areas where the grid is not available: they are used for irrigation and/or other local water needs and can supply also electricity to small consumers. In this paper a system aimed at supplying electricity and water to an isolated small village has been studied. Ground water is pumped into a storage reservoir and can be used both for irrigation and domestic use. The system is composed by a photovoltaic plant, a pump as turbine (PAT), a diesel internal combustion engine for integration purposes and a battery storage. By means of an optimization model based on the Particle Swarm Theory, the size of the system and its managing strategy have been optimized in order to fulfill the requirement of the users, to improve the system efficiency and minimize the overall costs. The most suitable hourly-based profile of the flow rates of a pump-as-turbine as well was found.

scholarly journals Small Cogeneration Unit with Heat and Electricity Storage

Energies ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2102
Author(s):  
Josef Stetina ◽  
Michael Bohm ◽  
Michal Brezina
Keyword(s):  
Internal Combustion Engine ◽  
Cooling System ◽  
Combustion Engine ◽  
Catalytic Converter ◽  
Storage System ◽  
Internal Combustion ◽  
Energy Storage System ◽  
Balance Model ◽  
Exhaust Pipe ◽  
Water Storage Tank

A micro cogeneration unit based on a three-cylinder internal combustion engine, Skoda MPI 1.0 L compressed natural gas (CNG), with an output of 25 kW at 3000 RPM is proposed in this paper. It is a relatively simple engine, which is already adopted by the manufacturer to operate on CNG. The engine life and design correspond to the original purpose of use in the vehicle. A detailed dynamic model was created in the GT-SUITE environment and implemented into an energy balance model that includes its internal combustion engine, heat exchangers, generator, battery storage, and water storage tank. The 1D internal combustion engine model provides us with information on engine start-up time, actual effective power, friction power, and the amount of heat going to the cooling system and exhaust pipe. The catalytic converter was removed from the exhaust pipe, and the engine was always operating at full load; thus, engine power control is not considered. An energy storage system for an island operation of the entire power unit for a large, detached house was designed to withstand accumulated energy for a few days in the case of a breakout. To reach a low initial system cost, the possible implementation of worn-out battery packs toward emission reduction in terms of the second life of the battery is proposed. The energy and emission balance are carried out, and the service life of the engine is also discussed.

Study and design of a hybrid wind–diesel-compressed air energy storage system for remote areas

2010 ◽  
Vol 87 (5) ◽  
pp. 1749-1762 ◽  
Author(s):  
H. Ibrahim ◽  
R. Younès ◽  
A. Ilinca ◽  
M. Dimitrova ◽  
J. Perron
Keyword(s):  
Energy Storage ◽  
Storage System ◽  
Energy Storage System ◽  
Compressed Air ◽  
Compressed Air Energy Storage ◽  
Remote Areas

scholarly journals Power Grid Frequency Regulation Strategy for Photovoltaic Plant Based on Multi-Objective Harris Hawks Optimization

2021 ◽  
Vol 9 ◽  
Author(s):  
Long Wang ◽  
Xucheng Chang ◽  
Xiang Li ◽  
Wenli Huang ◽  
Yingying Jiao
Keyword(s):  
Output Power ◽  
Storage System ◽  
Energy Storage System ◽  
Frequency Regulation ◽  
Time Varying ◽  
Power Station ◽  
Partial Shading ◽  
Multi Objective ◽  
Power Maximization ◽  
Photovoltaic Plant

To settle the issue of balance between two objectives, i.e., photovoltaic (PV) power station output power maximization and frequency regulation (FR) signals response, a novel PV reconfiguration strategy is proposed in this work, which maximizes the output power through PV reconfiguration, and meanwhile utilizes the energy storage system (ESS) to decrease the PV plant generated power’ deviation from FR signals. Above all, a model of PV-storage power station reconfiguration is designed to minimize the power bias of both rated power and FR signals. Then, the multi-objective Harris hawks optimization (MHHO) is used to obtain the Pareto front which can optimize the above two objectives due to its high optimization efficiency and speed. Subsequently, the optimal compromise solution is selected by the decision-making method of VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR). Aiming to substantiate the efficacy of the proposed technique, the case studies are carried out under partial shading condition (PSC) with constant and time-varying FR signals. The simulation results show that, compared with the situation without optimization, the power deviations of the two objectives are reduced by 25.11 and 75.76% under constant FR signals and 23.27 and 55.81% under time-varying FR signals by proposed method, respectively.

Optimal Battery Bank Dimensioning Algorithm for Renewable Systems Electrification of Isolated Sites

2018 ◽  
Vol 6 (8) ◽  
pp. 20
Author(s):  
Malek Belouda
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Storage System ◽  
Energy Systems ◽  
Energy Storage System ◽  
System Structure ◽  
Renewable Energy Systems ◽  
Remote Areas ◽  
Battery Bank ◽  
Battery Energy

The penetration of renewable energy systems in remote areas contributes to reply to its accrued demand of electricity. Renewable energy systems as photovoltaic generation systems and wind generation systems are characterized by their unpredictable and intermittent character presenting the main drawback of these systems. Although this advantage, the problems caused by the intermittency of these systems can be resolved by employing a battery energy storage system. To this end this paper proposes and analyses an efficient and optimal methodology dedicated to applications fed by renewable energy systems. Since an optimal energy storage bank sizing is needed in order to assure the continuity and reliability of electricity supply of remote areas from these kinds of energy sources. The first part of this article describes the renewable hybrid system structure and different factors influencing the storage system dimensioning. Different scenarios of renewable sources power generations in order to develop an optimal battery bank sizing algorithm are investigated the second part of this article. The formulation of the algorithm is finally presented and discussed.

scholarly journals A MPC Strategy for the Optimal Management of Microgrids Based on Evolutionary Optimization

Electronics ◽  
2019 ◽  
Vol 8 (11) ◽  
pp. 1371 ◽  
Author(s):  
Álvaro Rodríguez del Nozal ◽  
Daniel Gutiérrez Reina ◽  
Lázaro Alvarado-Barrios ◽  
Alejandro Tapia ◽  
Juan Manuel Escaño
Keyword(s):  
Energy Storage ◽  
Model Predictive Control ◽  
Predictive Control ◽  
Optimization Problems ◽  
Storage System ◽  
Energy Storage System ◽  
Evolutionary Strategy ◽  
Operational Cost ◽  
Prediction Horizon ◽  
Photovoltaic Plant

In this paper, a novel model predictive control strategy, with a 24-h prediction horizon, is proposed to reduce the operational cost of microgrids. To overcome the complexity of the optimization problems arising from the operation of the microgrid at each step, an adaptive evolutionary strategy with a satisfactory trade-off between exploration and exploitation capabilities was added to the model predictive control. The proposed strategy was evaluated using a representative microgrid that includes a wind turbine, a photovoltaic plant, a microturbine, a diesel engine, and an energy storage system. The achieved results demonstrate the validity of the proposed approach, outperforming a global scheduling planner-based on a genetic algorithm by 14.2% in terms of operational cost. In addition, the proposed approach also better manages the use of the energy storage system.

scholarly journals Gradual Configuration Research on Energy Storage System for a Photovoltaic Plant

2013 ◽  
Vol 19 (7) ◽  
Author(s):  
Haihong Bian ◽  
Wei Wang ◽  
Kai Chen ◽  
Xiaohui Xu ◽  
Qingshan Xu
Keyword(s):  
Energy Storage ◽  
Storage System ◽  
Energy Storage System ◽  
Photovoltaic Plant
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