Open Access Open Access  Restricted Access Subscription or Fee Access

Intelligence Technique Based Design and Assessment of Photovoltaic-Battery-Diesel for Distributed Generation System in Campus Area


(*) Corresponding author


Authors' affiliations


DOI: https://doi.org/10.15866/iremos.v13i1.18147

Abstract


Several studies have discussed the optimal designing methods of distributed generation (DG) based on intelligent algorithms. However, the feasibility of an intelligent algorithm-based DG system has not been investigated further, especially for DG in the campus area. Moreover, the DG that operates in two modes (grid-connected and micro-grid mode) has unique characteristics. This paper presents a design and assessment of the PV-battery-diesel DG system in the campus area based on a powerful intelligence technique. The designed DG consists of a PV system (PV array, battery, and inverter) and a diesel generator is used as backup power supplies to cover the loads during grid blackouts. The intelligence technique is used to determine the optimal size and configuration of PV array. In this work, a new variant modified AHP with fuzzy logic is developed to solve the problem. The developed algorithm is implemented by using MATLAB software. Then, the optimal size and configuration results have been evaluated and assessed in HOMER software. HOMER simulation results show that DG can operate in both grid-connected and micro-grid mode properly. Based on the case study site data, the net present cost of DG system is $291.073,43. The energy cost of the DG system is $0,12 for E6+E8 building system and $0,06 for E11 building system. The DG system has produced some pollutants from fuel consumption.
Copyright © 2020 Praise Worthy Prize - All rights reserved.

Keywords


Analytical Hierarchy Process; Fuzzy Logic; Intelligence Technique; Distributed Generation; Renewable Energy

Full Text:

PDF


References


G. Thornton, Renewable energy discount rate survey results – 2018, 2019.

N. America, C. America, A. Pacific, and I. Europe, 2016 Global Clean Energy Project Finance Review, 2016.

F. Ahmad and M. S. Alam, Optimal Sizing and Analysis of Solar PV, Wind, and Energy Storage Hybrid System for Campus Microgrid, Smart Sci., vol. 6, no. 2, pp. 150–157, 2018.
https://doi.org/10.1080/23080477.2017.1417005

Clean Energy Pipeline, South east asian clean energy project finance - 2014 review, no. February, pp. 2014–2016, 2015.

J. Thomas, ASEAN fast becoming a renewable energy hub, The ASEAN Post, 2019. [Online].
Available: https://theaseanpost.com/article/asean-fast-becoming-renewable-energy-hub.

SKK Migas, 2050, The Renewable Energy Mix Is Targeted To Reach 31%,” 2019. [Online]. Available [Accessed: 22-Aug-2019]:
https://databoks.katadata.co.id/datapublish/2019/02/19/2050-bauran-energi-terbarukan-ditargetkan-mencapai-31

S. B. Siad, DC MicroGrids Control for renewable energy integration, Doctoral thesis, Université d’Évry-Val-d’Essonne, 2019.

F. Iqbal and A. S. Siddiqui, Optimal configuration analysis for a campus microgrid-a case study, Prot. Control Mod. Power Syst., vol. 2, no. 1, 2017.
https://doi.org/10.1186/s41601-017-0055-z

M. G. Barade and A. Roy, Design and Optimization of Photovoltaic-Diesel Generator-Battery Hybrid System for off-grid areas, Int. J. Curr. Eng. Technol., vol. 5, no. 5, pp. 344–353, 2011.
https://doi.org/10.14741/ijcet/22774106/spl.5.6.2016.65

A. Kumar, A. R. Singh, Y. Deng, X. He, P. Kumar, and R. C. Bansal, Integrated assessment of a sustainable microgrid for a remote village in hilly region, Energy Convers. Manag., vol. 180, no. May 2018, pp. 442–472, 2019.
https://doi.org/10.1016/j.enconman.2018.10.084

A. K. Raji and D. N. Luta, Modeling and optimization of a community microgrid components, Energy Procedia, vol. 156, no. September 2018, pp. 406–411, 2019.
https://doi.org/10.1016/j.egypro.2018.11.103

S. K. Umesh S Magarappanavar, Optimization of Wind-Solar-Diesel Generator Hybrid Power System using HOMER, Int. Res. J. Eng. Technol., vol. 3, no. 6, pp. 522–526, 2016.

M. A. Omar and M. M. Mahmoud, Design and simulation of a PV system operating in grid-connected and stand-alone modes for areas of daily grid blackouts, Int. J. Photoenergy, vol. 2019.
https://doi.org/10.1155/2019/5216583

M. Reyasudin Basir Khan, J. Pasupuleti, J. Al-Fattah, and M. Tahmasebi, Optimal grid-connected PV system for a campus microgrid, Indones. J. Electr. Eng. Comput. Sci., vol. 12, no. 3, pp. 899–906, 2018.
https://doi.org/10.11591/ijeecs.v12.i3.pp899-906

Q. H. Alsafasfeh, Performance and Feasibility Analysis of a Grid Interactive Large Scale Wind/PV Hybrid System based on Smart Grid Methodology Case Study South Part – Jordan, Int. J. Renew. Energy Dev., vol. 4, no. 1, pp. 39–47, 2015.
https://doi.org/10.14710/ijred.4.1.39-47

İ. Çetinbaş, B. Tamyürek, and M. Demirtaş, Design, analysis and optimization of a hybrid microgrid system using HOMER software: Eskişehir osmangazi university example, Int. J. Renew. Energy Dev., vol. 8, no. 1, pp. 65–79, 2019.
https://doi.org/10.14710/ijred.8.1.65-79

Y. Zhu, F. Wang, and J. Yan, The Potential of Distributed Energy Resources in Building Sustainable Campus: The Case of Sichuan University, Energy Procedia, vol. 145, pp. 582–585, 2018.
https://doi.org/10.1016/j.egypro.2018.04.085

H. Talei, B. Zizi, M. R. Abid, M. Essaaidi, D. Benhaddou, and N. Khalil, Smart campus microgrid: Advantages and the main architectural components, Proc. 2015 IEEE Int. Renew. Sustain. Energy Conf. IRSEC 2015, no. December, 2016.
https://doi.org/10.1109/irsec.2015.7455093

J. Carlos, F. Teixeira, and P. A. Østergaardb, Development in efficiency , cost , optimization , simulation and environmental impact of energy systems, Int. J. Sustain. Energy Plan. Manag., vol. 22, pp. 1–4, 2019.

S. Sinha and S. S. Chandel, Review of software tools for hybrid renewable energy systems, Renew. Sustain. Energy Rev., vol. 32, pp. 192–205, 2014.
https://doi.org/10.1016/j.rser.2014.01.035

M. K. Shahzad, A. Zahid, T. Rashid, M. A. Rehan, M. Ali, and M. Ahmad, Techno-economic feasibility analysis of a solar-biomass off grid system for the electrification of remote rural areas in Pakistan using HOMER software, Renew. Energy, vol. 106, pp. 264–273, 2017.
https://doi.org/10.1016/j.renene.2017.01.033

L. M. Halabi, S. Mekhilef, L. Olatomiwa, and J. Hazelton, Performance analysis of hybrid PV/diesel/battery system using HOMER: A case study Sabah, Malaysia, Energy Convers. Manag., vol. 144, pp. 322–339, 2017.
https://doi.org/10.1016/j.enconman.2017.04.070

C. Phurailatpam, B. S. Rajpurohit, and L. Wang, Planning and optimization of autonomous DC microgrids for rural and urban applications in India, Renew. Sustain. Energy Rev., vol. 82, no. April 2016, pp. 194–204, 2018.
https://doi.org/10.1016/j.rser.2017.09.022

Afif, B., Chaker, A., Benhamou, A., Sizing of Optimal Case of Standalone Hybrid Power System Using Homer Software, (2017) International Review of Automatic Control (IREACO), 10 (1), pp. 23-32.
https://doi.org/10.15866/ireaco.v10i1.10450

A. Ishizaka and A. Labib, Analytic Hierarchy Process and Expert Choice: Benefits and limitations, OR Insight, vol. 22, no. 4, pp. 201–220, 2009.
https://doi.org/10.1057/ori.2009.10

A. Kumar, Y. Deng, X. He, and P. Kumar, A Multi Criteria Decision based rural electrification system, IECON Proc. (Industrial Electron. Conf., pp. 4025–4030, 2016.
https://doi.org/10.1109/iecon.2016.7793640

A. Barin, L. N. Canha, A. Da Rosa Abaide, and K. F. Magnago, Selection of storage energy technologies in a power quality scenario - The AHP and the fuzzy logic, IECON Proc. (Industrial Electron. Conf., pp. 3615–3620, 2009.
https://doi.org/10.1109/iecon.2009.5415150

A. Kumar, B. Sah, Y. Deng, X. He, P. Kumar, and R. C. Bansal, Application of multi-criteria decision analysis tool for design of a sustainable micro-grid for a remote village in the Himalayas, J. Eng., vol. 2017, no. 13, pp. 2108–2113, 2017.
https://doi.org/10.1049/joe.2017.0702

A. Kumar et al., A review of multi criteria decision making (MCDM) towards sustainable renewable energy development, Renew. Sustain. Energy Rev., vol. 69, no. March, pp. 596–609, 2017.
https://doi.org/10.1016/j.rser.2016.11.191

M. A. Hapsari and S. Subiyanto, Fuzzy AHP Based Optimal Design Building-Attached Photovoltaic System for Academic Campus, Int. J. Photoenergy, vol. 2020, 2020.
https://doi.org/10.1155/2020/6508329

F. Ahmed and K. Kilic, Fuzzy Analytic Hierarchy Process : A performance analysis of various algorithms CO, Fuzzy Sets Syst., vol. 1, pp. 1–19, 2018.
https://doi.org/10.1016/j.fss.2018.08.009

Google, Univeritas Negeri Semarang (UNNES), 2019. [Online]. Available [Accessed: 18-Jul-2019]:
https://www.google.com/maps/place/Universitas+Negeri+Semarang+(UNNES)

A. Pradita, Analysis of Energy Audit Planning for Window Based Electrical Energy Efficiency with Leap Software, Long-Range Energy Alternatives Planning System, vol. 1, no. September, pp. 2–9, 2018.

Google Maps, Faculty of Engineering, Semarang State University, 2019. [Online-Accessed: 17-Aug-2019].
Available: https://goo.gl/maps/ 2XGw1wCF qQhq614d6

Sunpower, SunPower ® Commercial DC Panel, 2018.

Solar Frontier, Product Data Sheet SF175-S, vol. 61730. pp. 1–2, 2019.

First Solar, CTM Next Generation Thin Film Solar Technology. pp. 5–6, 2019.

Renesola, Renesola Virtus ® II Module V. 2019.

Panasonic, Panasonic Solar HIT. 2019.

V. V. Vijetha Inti and V. S. Vakula, Design And Matlab/Simulink Implementation Of Four Switch Inverter For Microgrid Utilities, Energy Procedia, vol. 117, pp. 615–625, 2017.
https://doi.org/10.1016/j.egypro.2017.05.159

A. Hirsch, Y. Parag, and J. Guerrero, Microgrids: A review of technologies, key drivers, and outstanding issues, Renew. Sustain. Energy Rev., vol. 90, no. April, pp. 402–411, 2018.
https://doi.org/10.1016/j.rser.2018.03.040

J. Zhang, L. Huang, J. Shu, H. Wang, and J. Ding, Energy Management of PV-diesel-battery Hybrid Power System for Island Stand-alone Micro-grid, Energy Procedia, vol. 105, pp. 2201–2206, 2017.
https://doi.org/10.1016/j.egypro.2017.03.622

S. Barua, R. A. Prasath, and D. Boruah, Rooftop Solar Photovoltaic System Design and Assessment for the Academic Campus Using PVsyst Software, Int. J. Electron. Electr. Eng., vol. 5, no. 1, pp. 76–83, 2017.
https://doi.org/10.18178/ijeee.5.1.76-83

PT. PLN, Electricity Bill Simulation, 2019. [Online-Accessed: 15-Aug-2019]. Available:
https://www.pln.co.id/pelanggan/layanan-online/simulasi-tagihan/simulasi-rekening-pascabayar

Kementerian Energi dan Sumber Daya Mineral, Regulation of the Minister of Energy and Mineral Resources Number 49 of 2018 concerning Use of Roof Solar Power Generation Systems by Consumers of PT Perusahaan Listrik Negara (PLN), p. 12, 2018.
https://doi.org/10.21787/mp.3.2.2019.109-118

HOMER Energy, Cycle Charging Strategy, 2019. [Online-Accessed: 01-Sep-2019]. Available:
https://www.homerenergy.com/products/pro/docs/latest/cycle_charging_strategy.html

H. Z. Al Garni, I. S. Member, and A. Awasthi, A Fuzzy AHP and GIS-based Approach to Prioritize Utility-Scale Solar PV Sites in Saudi Arabia, in IEEE International Conference on Systems, Man, and Cybernetics, 2017.
https://doi.org/10.1109/smc.2017.8122783

L. A. Zadeh, Fuzzy sets, Inf. Control, vol. 8, no. 3, pp. 338–353, 1965.

L. C. Barros, R. Z. G. Oliveira, M. B. F. Leite, and R. C. Bassanezi, Epidemiological Models of Directly Transmitted Diseases: An Approach via Fuzzy Sets Theory, Int. J. Uncertainty, Fuzziness Knowlege-Based Syst., vol. 22, no. 5, pp. 769–781, 2014.
https://doi.org/10.1142/s0218488514500408

Trading Economics, Indonesia Interest Rate, 2019. [Online-Accessed: 01-Sep-2019]. Available:
https:// tradingeconomics.com/ indonesia/ interest-rate

Trading Economics, Indonesia Inflation Rate, 2019. [Online-Accessed: 01-Sep-2019]. Available:
https:// tradingeconomics.com/ indonesia/ inflation


Refbacks

  • There are currently no refbacks.


Please send any question about this web site to info@praiseworthyprize.com
Copyright © 2005-2024 Praise Worthy Prize