Technical and Economic Analysis of PV Integrated DC and AC in Front of the Meter System for Automated and Manual Dispatch Modes
Keywords:
Flexibility services,Front of meter systems, Li ion battery, Power dispatch, solar energyAbstract
Front-of-the-meter (FOM) based PV system is helpful in adding flexibility to distribution networks for locally generating renewable energy to decarbonise the environment from the impacts of power generation sector. Presently FOM systems are used for specific services at distribution level but for applications in industry these are under development. In this paper a techno-economic analysis of front-of-the-meter systems in primary networks with PV system is presented that covers (i) impact of battery storage systems types (ii) the in terms of different dispatch scheme; and (iii) the quantification for AC and DC connected schemes that give profitability based on techno economic analysis point of view. The analysis performed for grid-level battery energy storage technology particularized to weather data and electric tariff rates followed in Lucknow U.P,India. The techno-economic analysis is covering one year time duration with 30 minute resolution executed at System Advisor Model (SAM) tool. The results are showing that, the techno economic benefits of FOM systems are better than traditional transmission-level services. Several approaches are observed for improving systems profitability.
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References
IRENA, ‘‘Renewable capacity statistics 2021,’’ Int. Renew. Energy Agency, Abu Dhabi, United Arab Emirates, Tech. Rep., 2021.
S. P. Burger, J. D. Jenkins, C. Batlle, and I. J. PØrez-Arriaga, ‘‘Restructuring revisited—Part 1: Competition in electricity distribution systems,’’ Energy J., vol. 40, no. 3, pp. 31–54, Jul. 2019.
F. M. Uriarte, C. Smith, S. Van Broekhoven, and R. E. Hebner, ‘‘Microgridramp rates and the inertial stability margin,’’ IEEE Trans. Power Syst., vol. 30, no. 6, pp. 3209–3216, Nov. 2015.
J. Lopez Lorente, X. A. Liu, R. Best, and D. J. Morrow, ‘‘Energy storage allocation in power networks—A state-of-the-art review,’’ in Proc. 53rd Int. Universities Power Eng. Conf. (UPEC), Sep. 2018, pp. 1–6.
J. McLaren, N. Laws, K. Anderson, N. DiOrio, and H. Miller, ‘‘Solar-plusstorage economics: What works where, and why?’’ Electr. J., vol. 32, no. 1, pp. 28–46, Jan. 2019.
K. Uddin, R. Gough, J. Radcliffe, J. Marco, and P. Jennings, ‘‘Technoeconomic analysis of the viability of residential photovoltaic systems using lithium-ion batteries for energy storage in the United Kingdom,’’ Appl. Energy, vol. 206, pp. 12–21, Nov. 2017.
J. Koskela, A. Rautiainen, and P. Järventausta, ‘‘Using electrical energy storage in residential buildings—Sizing of battery and photovoltaic panels based on electricity cost optimization,’’ Appl. Energy, vol. 239, pp. 1175–1189, Apr. 2019.
Foles, L. Fialho, and M. Collares-Pereira, ‘‘Techno-economic evaluation of the Portuguese PV and energy storage residential applications,’’ Sustain. Energy Technol. Assessments, vol. 39, Jun. 2020, Art.no. 100686.
R. Boampong and D. P. Brown, ‘‘On the benefits of behind-the-meter rooftop solar and energy storage: The importance of retail rate design,’’ Energy Econ., vol. 86, Feb. 2020, Art. no. 104682.
J. P. Carvallo, N. Zhang, S. P. Murphy, B. D. Leibowicz, and
P. H. Larsen, ‘‘The economic value of a centralized approach to distributed resource investment and operation,’’ Appl. Energy, vol. 269, Jul. 2020,Art. no. 115071.
A. S. Rangel, L. Canha, M. Sperandio, and R. Severiano, ‘‘Methodologyfor ESS-type selection and optimal energy management in distribution system with DG considering reverse flow limitations and cost penalties,’’ IET Gener., Transmiss. Distrib., vol. 12, no. 5, pp. 1164–1170, 2018.
Konstantelos and G. Strbac, ‘‘Capacity value of energy storage in distribution networks,’’ J. Energy Storage, vol. 18, pp. 389–401, Aug. 2018.
F. R. S. Sevilla, D. Parra, N. Wyrsch, M. K. Patel, F. Kienzle, and P. Korba, ‘‘Techno-economic analysis of battery storage and curtailment in a distribution grid with high PV penetration,’’ J. Energy Storage, vol. 17,pp. 73–83, Jun. 2018.
A. Valencia, R. A. Hincapie, and R. A. Gallego, ‘‘Optimal location, selection, and operation of battery energy storage systems and renewable distributed generation in medium-low voltage distribution networks,’’ J. Energy Storage, vol. 34, no. 102158, pp. 1–16, 2021.
M. Zidar, P. S. Georgilakis, N. D. Hatziargyriou, T. Capuder, and D. Škrlec, ‘‘Review of energy storage allocation in power distribution networks: Applications, methods and future research,’’ IET Generat., Transmiss. Distrib., vol. 10, no. 3, pp. 645–652, Mar. 2016.
A. Castillo and D. F. Gayme, ‘‘Grid-scale energy storage applicationsin renewable energy integration: A survey,’’ Energy Convers. Manage., vol. 87, pp. 885–894, Nov. 2014.
P. V. Brogan, R. J. Best, D. J. Morrow, K. McKinley, and M. L. Kubik, ‘‘Effect of BESS response on frequency and RoCoF during underfrequency transients,’’ IEEE Trans. Power Syst., vol. 34, no. 1, pp. 575–583, Jan. 2019.
FLEX Project and Procurement of Flexibility Services, NIE Networks, London, U.K., 2021.
A. R. Mohamed, D. J. Morrow, R. J. Best, A. Cupples, I. Bailie, andJ. Pollock, ‘‘Distributed battery energy storage systems operation framework for grid power levelling in the distribution networks,’’ IET Smart Grid, early access, May 2021, doi: 10.1049/stg2.12040.
Bagchi, R. Best, D. J. Morrow, J. Pollock, I. Bailie, and A. Cupples, ‘‘System service provision capabilities of storage devices connected to a MV distribution network: A northern Ireland case study,’’ in Proc. IEEE Power Energy Soc. Innov. Smart Grid Technol. Conf. (ISGT), Feb. 2020, pp. 1–5.
Y. Zhang, Y. Xu, H. Yang, Z. Y. Dong, and R. Zhang, ‘‘Optimal whole life-cycle planning of battery energy storage for multi-functional services in power systems,’’ IEEE Trans. Sustain. Energy, vol. 11, no. 4, pp. 2077–2086, Oct. 2020.
L. Maeyaert, L. Vandevelde, and T. Döring, ‘‘Battery storage for ancillary services in smart distribution grids,’’ J. Energy Storage, vol. 30, Aug. 2020, Art.no. 101524.
P. V. Brogan, R. Best, J. Morrow, R. Duncan, and M. Kubik, ‘‘Stackingbattery energy storage revenues with enhanced service provision,’’ IET Smart Grid, vol. 3, no. 4, pp. 520–529, Aug. 2020.
N. Singh Rayit, J. I. Chowdhury, and N. Balta-Ozkan, ‘‘Techno-economic optimisation of battery storage for grid-level energy services using curtailed energy from wind,’’ J. Energy Storage, vol. 39, no. 102641, pp. 1–14, 2021.
Palmintier, R. J. Broderick, B. Mather, M. Coddingtom, K. Baker,F. Ding, M. J. Reno, M. Lave, and A. Bharatkumar, ‘‘On the path to SunShot: Emerging issues and challenges in integrating solar with the distribution system,’’ Nat. Renew. Energy Lab., Golden, CO, USA,Tech. Rep. NREL/TP-5D00-65331, 2016.
R. Seguin, J. Woyak, D. Costyk, J. Hambrick, and B. Mather, ‘‘Highpenetration PV integration handbook for distribution engineers,’’ Nat. Renew.Energy Lab., Golden, CO, USA, Tech. Rep. NREL/TP-5D00- 63114, 2016.
M. Zeraati, M. E. H. Golshan, and J. M. Guerrero, ‘‘Voltage quality improvement in low voltage distribution networks using reactive power capability of single-phase PV inverters,’’ IEEE Trans. Smart Grid, vol. 10, no. 5, pp. 5057–5065, Sep. 2019.
J. F. B. Sousa, C. L. T. Borges, and J. Mitra, ‘‘PV hosting capacity of LV distribution networks using smart inverters and storage systems: A practical margin,’’ IET Renew. Power Gener., vol. 14, no. 8, pp. 1332–1339, Jun. 2020.
R. Sharma, Anurag, Load Forecasting using ANFIS A Review. International Journal of Research and Development in Applied Science and Engineering. Volume 20; Issue 1; 2020.
http://www.energy- transitioninstitute.com / Insights/SolarPhotovoltaic.html “Solar PV FactBook2017, A.T. Kearney Energy Transition Institute”
Anurag, R. Sharma. Modern Trends on Image Segmentation for Data Analysis- A Review", International Journal of Research and Development in Applied Science and Engineering, Volume 20, Issue 1, 2020.
F. A. Khan, S. H. Saeed, M. Asim, S. Rahman, and P. R. Sarkar, ‘‘Cost optimization by adding SPV plant at load end in a grid connected system,’’ In 2018 International Conference on Computational and Characterization Techniques in Engineering & Sciences (CCTES) (pp. 65-70). IEEE, September, 2018.
T. A. Chandel, M. Y. Yasin, M. A Mallick, ‘‘Impact of Parasitic Resistance on Modelling and Performance of Solar Photovoltaic Module” 2023 International conference on Device Intelligence, Computing and Communication Technologies, (DICCT) 2023
H.Iqbal , M. Ibrahim , M. Tayyab , A. Sarwar ,M. Tariq, M. Sarfraz , ‘‘A Dual Source 13 Level Inverter with ReducedComponent Count for Renewable Energy Applications,’’ Renewable Energy FocusDecember 2023 https://doi.org/10.1016/j.ref.2023.100505
M. A. Husain , S. B. Pingale , A. B. Khan , A. F. Minai , Y. Pandey , R. S. Dwivedi , ‘‘Performance analysis of the global maximum power point tracking based on spider monkey optimization for PV system,’’ N Received 28 March 2023, Revised 4 September 2023, Accepted 12 September 2023, Available online 13 October 2023, Version of Record 20 October 2023, https://doi.org/10.1016/j.ref.2023.100503
K. H. Aftab, M, Y. Yaseen, M. Asim, “Technical and Economic assessment of PV resource based DC and AC connected behind the meter system for residential load,” International Journal of Intelligent Systems and Applications in Engineering (IJISAE) ISSN:2147-6799,2024,12(16S),509-519. Impact Factor 8.993 updated 2024.
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