Comparison the Economic Analysis of the Battery between Lithium-ion and Lead-acid in PV Stand-alone Application

Anuphappharadorn, Suratsawadee; Sukchai, Sukruedee; Sirisamphanwong, Chatchai; Ketjoy, Nipon

doi:10.1016/j.egypro.2014.07.167

Cited by 83 publications

(37 citation statements)

References 5 publications

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“…This study considers a maximum DOD of 50%, since the lifetime of this type of battery is significantly reduced when operates at high DOD levels [36]. In order to avoid discharging/overcharging the battery out of the secure limits, the EMS strategy should cut-off the power delivered/absorbed by the battery.…”

Section: Gridmentioning

confidence: 99%

Fuzzy Logic-Based Energy Management System Design for Residential Grid-Connected Microgrids

Arcos-Avilés

Pascual

Marroyo

et al. 2018

IEEE Trans. Smart Grid

253

167

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Abstract--This paper presents the design of a low complexity Fuzzy Logic Controller of only 25-rules to be embedded in an Energy Management System for a residential grid-connected microgrid including Renewable Energy Sources and storage capability. The system assumes that neither the renewable generation nor the load demand is controllable. The main goal of the design is to minimize the grid power profile fluctuations while keeping the Battery State of Charge within secure limits. Instead of using forecasting-based methods, the proposed approach uses both the microgrid energy rate-of-change and the battery SOC to increase, decrease or maintain the power delivered/absorbed by the mains. The controller design parameters (membership functions and rule-base) are adjusted to optimize a pre-defined set of quality criteria of the microgrid behavior. A comparison with other proposals seeking the same goal is presented at simulation level, whereas the features of the proposed design are experimentally tested on a real residential microgrid implemented at the Public University of Navarre.Index Terms--Distributed power generation, energy management, fuzzy control, microgrid, renewable energy sources, smart grid. I. INTRODUCTION HE ENVIRONMENTAL and economic benefits related to the reduction of both carbon dioxide emission andThis work was partially supported by the Secretaría Nacional de Educación Superior, Ciencia, Tecnología e Innovación SENESCYT and the Instituto de Fomento al Talento Humano del Ecuador under the grant No. 2013-AR2Q4081. Government of Navarra and the FEDER funds under project "Microgrids in Navarra: design, development and implementation". Spanish Ministry of Economy and Competitiveness under grant DPI2013-42853-R; European Union under the project FP7-308468, "PVCROPS-Photovoltaic Cost reduction, reliability, operational performance, prediction and simulation"; grant RUE CSD2009-00046, Consolider-Ingenio 2010 Programme, Spanish Ministry of Science and Innovation, and the grants DPI2013-41224-P, DPI2012-31580 from the Spanish Ministry of Economy and Knowledge.D. Arcos-Aviles is with the Departamento de Ingeniería Eléctrica y Electrónica, Propagation, Electronic Control and Networking (PROCONET) research group, Universidad de las Fuerzas Armadas ESPE, 171-5-231B Sangolquí, Ecuador (e-mail: dgarcos@espe.edu.ec).J. Pascual, L. Marroyo and P. Sanchis are with the Department of Electrical and Electronic Engineering, Public University of Navarre, Pamplona, Spain (e-mail: juliomaria.pascual@unavarra.es; luisma@unavarra.es; pablo.sanchis@unavarra.es.).F. Guinjoan is with the Department of Electronics Engineering, Escuela Técnica Superior de Ingenieros de Telecomunicación de Barcelona, Universitat Politècnica de Catalunya, 08034 Barcelona, Spain (e-mail: francesc.guinjoan@upc.edu).transmission losses have made distributed renewable generation systems became a competitive solution for future smart grids [1]. In this context, microgrids are considered as the key building blocks of smart grids [2] and have aroused g...

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Section: Gridmentioning

confidence: 99%

Fuzzy Logic-Based Energy Management System Design for Residential Grid-Connected Microgrids

Arcos-Avilés

Pascual

Marroyo

et al. 2018

IEEE Trans. Smart Grid

253

167

View full text Add to dashboard Cite

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“…Lead acid [13][14][15][16][17] Lithium ion [18][19][20] optimization software used for designing distributed generation systems in two different modes: on-grid and offgrid. HOMER uses two optimization algorithms.…”

Section: Parametersmentioning

confidence: 99%

Choice of battery energy storage for a hybrid renewable energy system

Tharani¹,

Dahiya²

2018

Turk J Elec Eng & Comp Sci

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There are certain unelectrified villages across the Indian subcontinent where providing supply through the grid is difficult due to forest cover or mountainous terrain. The most feasible option is to provide off-grid electrification through renewable energy resources such as solar or wind energy. These intermittent sources do not promise a 24 × 7 supply system. Thus, along with solar or wind energy systems, it becomes important to use a renewable resource, such as biomass, which is available in abundance in rural areas. The need for battery energy storage becomes mandatory in order to store the surplus energy produced by renewable resources and supply it at a time of insufficiency. Currently, many battery technologies are evolving with better characteristics than conventional battery systems in terms of efficiency, response time, deep cycle discharge, lifecycle, etc. The aim of this study is, firstly, to design and model a hybrid renewable energy system (HRES), using photovoltaic (PV)-Biogas (BG) system with HOMER software. Secondly, we aim to test this model using three different battery types: advanced lead acid (LA) batteries, lithium ion (LI) batteries, and zinc-bromine (Zn-Br) flow batteries (FB), used individually. Using these three battery technologies, the HRESs are then compared in terms of system sizing, economy, technical performance, and environmental stability. A case study for the unelectrified village of Madhya Pradesh (MP) is discussed to suggest the practical aspect of the comparative analysis.The results demonstrate that the HRES using LI batteries is the most favorable choice. Using this configuration, the economic parameters, including total net present cost (NPC) and levelized cost of energy (LCOE), are found to be lowest.The technical parameters, including battery state of charge (SOC), capacity shortage, and environmental parameters (CO 2 emissions) are found to be optimum.

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“…The SOC should be kept between a minimum and maximum limit (Equation (2)). In this study, minimum depth of discharge (DOD) of the battery bank was set at 20% (Equation (3)) [52]: …”

Section: Battery Agentmentioning

confidence: 99%

A Game Theory Approach to Multi-Agent Decentralized Energy Management of Autonomous Polygeneration Microgrids

2017

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Abstract:Energy management systems are essential and indispensable for the secure and optimal operation of autonomous polygeneration microgrids which include distributed energy technologies and multiple electrical loads. In this paper, a multi-agent decentralized energy management system was designed. In particular, the devices of the microgrid under study were controlled as interactive agents. The energy management problem was formulated here through the application of game theory, in order to model the set of strategies between two players/agents, as a non-cooperative power control game or a cooperative one, according to the level of the energy produced by the renewable energy sources and the energy stored in the battery bank, for the purpose of accomplishing optimal energy management and control of the microgrid operation. The Nash equilibrium was used to compromise the possible diverging goals of the agents by maximizing their preferences. The proposed energy management system was then compared with a multi-agent decentralized energy management system where all the agents were assumed to be cooperative and employed agent coordination through Fuzzy Cognitive Maps. The results obtained from this comparison, demonstrate that the application of game theory based control, in autonomous polygeneration microgrids, can ensure operational and financial benefits over known energy management approaches incorporating distributed intelligence.

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Comparison the Economic Analysis of the Battery between Lithium-ion and Lead-acid in PV Stand-alone Application

Cited by 83 publications

References 5 publications

Fuzzy Logic-Based Energy Management System Design for Residential Grid-Connected Microgrids

Fuzzy Logic-Based Energy Management System Design for Residential Grid-Connected Microgrids

Choice of battery energy storage for a hybrid renewable energy system

A Game Theory Approach to Multi-Agent Decentralized Energy Management of Autonomous Polygeneration Microgrids

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