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 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.

Study on Application of Energy Storage System in PV System

2012 ◽  
Vol 512-515 ◽  
pp. 995-1000
Author(s):  
Jian Lin Li ◽  
Hui Meng Ma ◽  
Zhi Jia Xie
Keyword(s):  
Energy Storage ◽  
Power Systems ◽  
Flow Direction ◽  
Storage System ◽  
Weather Condition ◽  
Energy Storage System ◽  
Pv System ◽  
Pv Systems ◽  
Cost Of Energy ◽  
Direction Control

Recently, a lot of PV power systems ranging from 1MW to 10MW have been built in China. However, the power grid can’t accept so much PV power because of their oscillated output power. PV systems are affected by the weather condition a lot, such as the sunlight and the temperature. Embedding energy storage system into PV system could improve the grid-access performance of PV systems as well as expand the functions of original PV systems, including regulating power quality of grid. In this paper, PV-storage topology is presented and the flow direction control (FDC) method is described. Based on the operation data of a 100kW PV system in a certain place of China, simulation studies are performed. The result of simulation verifies the possibility and necessity of building the energy storage system in the PV system. With the decline of the cost of energy storage system and PV system, the development of renewable energy in China will be accelerated and supported by the combination of PV system and energy storage system.

scholarly journals A Novel Controller for Isolated Solar Photovoltaic System with Super Conducting Magnetic Energy Storage and Fault Ride through Capability

2019 ◽  
Vol 9 (1) ◽  
pp. 4344-4352
Keyword(s):  
Energy Storage ◽  
Reactive Power ◽  
Magnetic Energy ◽  
Storage System ◽  
Energy Storage System ◽  
Solar Pv ◽  
Pv System ◽  
Fault Ride Through ◽  
Super Conducting ◽  
Magnetic Energy Storage

Energy storage system plays a crucial role in providing stabilization and improving power quality in isolated microgrid, especially in renewable energy based microgrid systems. Among the renewable sources, Photovoltaic (PV) based power systems are famous and increasing day by day due to its merits and advantages. Three phase fault are common in microgrid and leads to unsteady condition in the PV output power. When there is a fault in solar PV system, the photovoltaic power output decreases and results in abnormal voltage drop in the system. Efficiency and reliability of PV system is also a major issue. To overcome the issues occur due to fault in isolated PV system, it is to have Fault Ride through (FRT) capabilities. When failure occurs in PV system, FRT capability allows the system to maintain stability. FRT also allows the PV system to survive the system during the condition of fault on the system. Moreover, energy storage systems plays major role in the PV based systems. A Super Conducting Magnetic Energy Storage system (SMES)is proposed in this paper which is for providing power stabilization in isolated microgrid under fault condition. SMES can provide the real and reactive power according to the requirements of PV based power system. The proposed SMES can be a good solution for minimizing the effect on the system due to fault condition in PV system. Using MATLAB/SIMULINK, isolated PV with SMES was simulated and analysed for its performance with and without fault condition. This proposed theory is proven by an extensive simulation results.

scholarly journals Intelligent Control Strategy to Enhance Power Smoothing of Renewable based Microgrid with Hybrid Energy Storage

2021 ◽  
Vol 12 (8) ◽  
pp. 3090-3100
Author(s):  
Yashwant Joshi, Et. al.
Keyword(s):  
Energy Storage ◽  
Metal Hydride ◽  
Control Strategy ◽  
Storage System ◽  
Energy Storage System ◽  
Solar Pv ◽  
Pv System ◽  
Hybrid Energy ◽  
Hybrid Energy Storage ◽  
Hybrid Energy Storage System

A stand-alone renewable based microgrid (MG) performance with a hybrid energy storage system has been examined in this work. Stand-alone MG system mainly consists of a solar photovoltaic (PV) and permanent magnet synchronous generator (PMSG) based wind system. The hybrid energy storage system is based on Ni-Metal- Hydride (NiMH) battery and a supercapacitor (SC).  The paper's primary goal is to propose an artificial neural network (ANN) based control strategy for charging/discharging control of Ni-Metal- Hydride battery & supercapacitor. The proposed maximum power tracking techniques (MPPT) include perturb and observe (P& O) algorithm for solar PV system while optimum torque (OT) MPPT for PMSG based wind turbine. The ANN-based control mechanism can maintain the DC bus voltage constant and trigger the supercapacitor to limit the battery current when the battery charging/ discharging current reached its threshold value. The proposed model responds quickly to intermittent nature PV-wind power generation or load power variation.

Optimal allocation of distributed energy storage in active distribution network via hybrid teaching learning and multi-objective particle swarm optimization algorithm

2021 ◽  
pp. 002072092098369
Author(s):  
Jijun Liu ◽  
Yuxin Bai ◽  
Yingfeng He
Keyword(s):  
Particle Swarm Optimization ◽  
Energy Storage ◽  
Optimal Allocation ◽  
Storage System ◽  
Distribution Network ◽  
Particle Swarm ◽  
Economic Cost ◽  
Energy Storage System ◽  
Swarm Optimization ◽  
Active Distribution Network

This work aims at solving complex problems of the optimal scheduling model of active distribution network, teaching strategies are proposed to improve the global search ability of particle swarm optimization. Moreover, based on the improved Euclidean distance cyclic crowding sorting strategy, the convergence ability of Li Zhiquan algorithm is improved. With the cost and voltage indexes of the energy storage system of the distribution network as the goal, different optimized configuration schemes are constructed, and the improved HTL-MOPSO algorithm is adopted to find the solution. The results show that compared with the traditional TV-MOPSO algorithm, the proposed algorithm has better convergence performance and optimization ability, and has a lower economic cost. In short, the algorithm proposed can provide a basis for improving the optimization of active distribution network scheduling strategies.

Design and Research of Integrated PV and Storage Grid-Connected Generation System

2014 ◽  
Vol 1070-1072 ◽  
pp. 24-29
Author(s):  
Xiao Di Qin ◽  
Rong Rong Zhou ◽  
Lie Xia ◽  
Liang Hui Xu
Keyword(s):  
Energy Storage ◽  
System Integration ◽  
Tracking System ◽  
Storage System ◽  
Energy Storage System ◽  
Vanadium Redox Flow Battery ◽  
Generation System ◽  
Pv System ◽  
Design Scheme ◽  
And Storage

Based on practical project and application, the design scheme of small capacity of integrated PV and storage grid-connected generation system is presented in this paper. For demonstrative and experimental purpose in this project, it includes several typical PV modules, tracking system and grid-connected inverters. Entire design scheme covers system integration, grid-connected solution, PV array and bracket, monitoring system, energy storage system, and etc. Configuration and application prospect of energy storage system in grid-connected PV system are mainly introduced. The characteristics of lithium battery and vanadium redox flow battery, as well as their application in the field of distributed power generation are researched.

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