scholarly journals Solar Photovoltaic Panels Combined with Energy Storage in a Residential Building: An Economic Analysis

2018 ◽  
Vol 10 (9) ◽  
pp. 3117 ◽  
Author(s):  
Federica Cucchiella ◽  
Idiano D’Adamo ◽  
Massimo Gastaldi ◽  
Vincenzo Stornelli
Keyword(s):  
Energy Storage ◽  
Net Present Value ◽  
Storage System ◽  
Residential Building ◽  
Weather Conditions ◽  
Energy Storage System ◽  
Economic Feasibility ◽  
Pv System ◽  
Pv Systems ◽  
Profitability Analysis

Renewable energy is a wide topic in environmental engineering and management science. Photovoltaic (PV) power has had great interest and growth in recent years. The energy produced by the PV system is intermittent and it depends on the weather conditions, presenting lower levels of production than other renewable resources (RESs). The economic feasibility of PV systems is linked typically to the share of self-consumption in a developed market and consequently, energy storage system (ESS) can be a solution to increase this share. This paper proposes an economic feasibility of residential lead-acid ESS combined with PV panels and the assumptions at which these systems become economically viable. The profitability analysis is conducted on the base of the Discounted Cash Flow (DCF) method and the index used is Net Present Value (NPV). The analysis evaluates several scenarios concerning a 3-kW plant located in a residential building in a PV developed market (Italy). It is determined by combinations of the following critical variables: levels of insolation, electricity purchase prices, electricity sales prices, investment costs of PV systems, specific tax deduction of PV systems, size of batteries, investment costs of ESS, lifetime of a battery, increases of self-consumption following the adoption of an ESS, and subsidies of ESS. Results show that the increase of the share of self-consumption is the main critical variable and consequently, the break-even point (BEP) analysis defines the case-studies in which the profitability is verified.

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 Study on Fault and Isolated Condition in Two Circuit Configurations of PV-ESS Hybrid System

2012 ◽  
Vol 2012 ◽  
pp. 1-11
Author(s):  
Myo Htaik ◽  
Ryoichi Hara ◽  
Hiroyuki Kita
Keyword(s):  
Energy Storage ◽  
Control Systems ◽  
Technological Development ◽  
Storage System ◽  
Energy Storage System ◽  
Power Demand ◽  
Pv System ◽  
Demand And Supply ◽  
Pv Systems ◽  
Pv Generation

Most photovoltaic (PV) generation systems are connected with a utility grid and recognized as supplemental generation resources; but in some applications such as microgrid concept, a PV system works as a main resource. To improve the availability of PV systems, technological development for higher less output fluctuation in normal condition, higher fault tolerance in fault occurrence, and power demand and supply balancing in isolated condition are required. For these reasons, hybridization of a PV system and an energy storage system (ESS) would become an important technology in the future. This paper presented two kinds of circuit models, conventional “ac-connected PV-ESS,” and proposed “dc-connected PV-ESS” in which ESS is inserted at the dc-side of PV system. This paper also investigated dc-link voltage controlled by dc-dc converter of ESS in dc-connected PV-ESS and suitable control systems are also discussed normal, during fault occurrence and isolated operation.

scholarly journals An Assessment of the Optimal Capacity and an Economic Evaluation of a Sustainable Photovoltaic Energy System in Korea

2021 ◽  
Vol 13 (21) ◽  
pp. 12264
Author(s):  
Young Hun Lee ◽  
In Wha Jeong ◽  
Tae Hyun Sung
Keyword(s):  
Economic Evaluation ◽  
Energy Storage ◽  
Storage System ◽  
Energy System ◽  
Energy Storage System ◽  
Pv System ◽  
Photovoltaic Energy ◽  
Pv Systems ◽  
Optimal Capacity ◽  
Battery Energy

The purpose of this study is to conduct an economic evaluation of a photovoltaic-energy storage system (PV–ESS system) based on the power generation performance data of photovoltaic operations in Korea, and to calculate the optimal capacity of the energy storage system. In this study, PV systems in Jeju-do and Gyeongsangnam-do were targeted, PV systems in this area were assumed to be installed on a general site, and the research was conducted by applying weights based on the facility’s capacity. All the analyses were conducted using the actual amount of Korea power exchange (KPX) transactions of PV systems in 2019. In order to calculate the optimal capacity of the power conditioning system (PCS) and the battery energy storage system (BESS) according to global horizontal irradiation (GHI), PV systems with a minimum/maximum/central value were selected by comparing the solar radiation before the horizontal plane for three years (2017–2019) in the location where the PV systems was installed. As a result of the analysis, in Jeju-do, if the renewable energy certificate (REC) weight decreased to 3.4 when there was no change in the cost of installing a BESS and a PCS, it was more economical to link to the BESS than the operation of the PV system alone. In Gyeongsangnam-do, it was revealed that if the REC weight was reduced to 3.4, it was more likely to link to the BESS than the operation of the PV system alone.

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.

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 Effect of Prediction Error of Machine Learning Schemes on Photovoltaic Power Trading Based on Energy Storage Systems

Energies ◽  
2019 ◽  
Vol 12 (7) ◽  
pp. 1249 ◽  
Author(s):  
Kuk Bae ◽  
Han Jang ◽  
Bang Jung ◽  
Dan Sung
Keyword(s):  
Machine Learning ◽  
Energy Storage ◽  
Output Power ◽  
Storage System ◽  
Weather Conditions ◽  
Energy Storage System ◽  
Energy Markets ◽  
Prediction Errors ◽  
Power Prediction ◽  
Power Trading

Photovoltaic (PV) output power inherently exhibits an intermittent property depending on the variation of weather conditions. Since PV power producers may be charged to large penalties in forthcoming energy markets due to the uncertainty of PV power generation, they need a more accurate PV power prediction scheme in energy market operation. In this paper, we characterize the effect of PV power prediction errors on energy storage system (ESS)-based PV power trading in energy markets. First, we analyze the prediction accuracy of two machine learning (ML) schemes for the PV output power and estimate their error distributions. We propose an efficient ESS management scheme for charging and discharging operation of ESS in order to reduce the deviations between the day-ahead (DA) and real-time (RT) dispatch in energy markets. In addition, we estimate the capacity of ESSs, which can absorb the prediction errors and then compare the PV power producer’s profit according to ML-based prediction schemes with/without ESS. In case of ML-based prediction schemes with ESS, the ANN and SVM schemes yield a decrease in the deviation penalty by up to 87% and 74%, respectively, compared with the profit of those schemes without ESS.

scholarly journals Feasibility Analysis of Behind-the-Meter Energy Storage System According to Public Policy on an Electricity Charge Discount Program

2019 ◽  
Vol 11 (1) ◽  
pp. 186 ◽  
Author(s):  
Byuk-Keun Jo ◽  
Seungmin Jung ◽  
Gilsoo Jang
Keyword(s):  
Energy Storage ◽  
Storage Systems ◽  
Storage System ◽  
Participation Rate ◽  
Energy Storage System ◽  
Economic Feasibility ◽  
Demand Side ◽  
Energy Storage Systems ◽  
Study Results ◽  
The Impact

Energy storage systems are crucial in dealing with challenges from the high-level penetration of renewable energy, which has inherently intermittent characteristics. For this reason, various incentive schemes improving the economic profitability of energy storage systems are underway in many countries with an aim to expand the participation rate. The electricity charge discount program, which was introduced in 2015 in Korea, is one of the policies meant to support the economic feasibility of demand-side energy storage systems. This paper quantitatively evaluated the impact of the electricity charge discount program on the economic feasibility of behind-the-meter energy storage systems. In this work, we first summarized how electricity customers can benefit from behind-the-meter energy storage systems. In addition, we represented details of the structure that make up the electricity charge discount program, i.e., how the electricity charge is discounted through the discount scheme. An optimization problem that establishes a charge and discharge schedule of an energy storage system to minimize each consumer’s electricity expenditure was defined and formulated as well. The case study results indicated that the electricity charge discount program has improved the profitability of behind-the-meter energy storage systems, and this improved profitability led to investment in behind-the-meter energy storage systems in Korea. As a result of the electricity charge discount program, Korea’s domestic demand side energy storage system market size, which was only 27 billion dollars in 2015 in Korea, has grown to 825 billion dollars in 2018.

scholarly journals The Optimal Allocation and Operation of an Energy Storage System with High Penetration Grid-Connected Photovoltaic Systems

2020 ◽  
Vol 12 (15) ◽  
pp. 6154 ◽  
Author(s):  
Hui Wang ◽  
Jun Wang ◽  
Zailin Piao ◽  
Xiaofang Meng ◽  
Chao Sun ◽  
...  
Keyword(s):  
Energy Storage ◽  
Power Loss ◽  
Power Flow ◽  
Optimal Allocation ◽  
Storage System ◽  
Distribution Network ◽  
Energy Storage System ◽  
Pv Systems ◽  
High Penetration ◽  
Storage Optimization

High-penetration grid-connected photovoltaic (PV) systems can lead to reverse power flow, which can cause adverse effects, such as voltage over-limits and increased power loss, and affect the safety, reliability and economic operations of the distribution network. Reasonable energy storage optimization allocation and operation can effectively mitigate these disadvantages. In this paper, the optimal location, capacity and charge/discharge strategy of the energy storage system were simultaneously performed based on two objective functions that include voltage deviations and active power loss. The membership function and weighting method were used to combine the two objectives into a single objective. An energy storage optimization model for a distribution network considering PV and load power temporal changes was thus established, and the improved particle swarm optimization algorithm was utilized to solve the problem. Taking the Institute of Electrical and Electronic Engineers (IEEE)-33 bus system as an example, the optimal allocation and operation of the energy storage system was realized for the access of high penetration single-point and multi-point PV systems in the distribution network. The results of the power flow optimization in different scenarios were compared. The results show that using the proposed approach can improve the voltage quality, reduce the power loss, and reduce and smooth the transmission power of the upper-level grid.

scholarly journals Multi-Objective Sizing of Hybrid Energy Storage System for Large-Scale Photovoltaic Power Generation System

2019 ◽  
Vol 11 (19) ◽  
pp. 5441 ◽  
Author(s):  
Chao Ma ◽  
Sen Dong ◽  
Jijian Lian ◽  
Xiulan Pang
Keyword(s):  
Power Generation ◽  
Energy Storage ◽  
Large Scale ◽  
Yellow River ◽  
Storage System ◽  
Weather Conditions ◽  
Energy Storage System ◽  
Hybrid Energy ◽  
Hybrid Energy Storage ◽  
Power Stations

Hybrid energy storage systems (HESS) are an effective way to improve the output stability for a large-scale photovoltaic (PV) power generation systems. This paper presents a sizing method for HESS-equipped large-scale centralized PV power stations. The method consists of two parts: determining the power capacity by a statistical method considering the effects of multiple weather conditions and calculating the optimal energy capacity by employing a mathematical model. The method fully considers the characteristics of PV output and multiple kinds of energy storage combinations. Additionally, a pre-storage strategy that can further improve stability of output is proposed. All of the above methods were verified through a case study application to an 850 MW centralized PV power station in the upstream of the Yellow river. The optimal hybrid energy storage combination and its optimization results were obtained by this method. The results show that the optimal capacity configuration can significantly improve the stability of PV output and the pre-storage strategy can further improve the target output satisfaction rate by 8.28%.

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