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Evaluation of the Energy Transaction Cost for Microgrid-Based Wheeling System Using Power Flow Tracing: a Case Study


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DOI: https://doi.org/10.15866/iree.v17i2.21792

Abstract


The increasing use of microgrid-based renewable energy has led to energy trading. One of the energy trades arising is based on the utility's transmission network (wheeling case). However, it is necessary to calculate the price of electric energy transactions for all the wheeling players to get the appropriate profit. This study has used a Power Flow Tracing algorithm modified according to the load conditions and the sun conditions all the time. It uses the Power Flow Tracing method by considering transmission, loss, and profit margins based on actual usage. On the other hand, the calculation of transaction costs of electrical energy uses the MW-Mile method by considering power quality in order to determine transmission costs and network losses. At the same time, the Full Cost Method is used to calculate the profit margin on the side of the microgrid owner. This research provides the results of tracking power flow according to the actual usage. The price calculation considers all the contributing players such as utilities, microgrids, and consumers. The research also shows that the transaction distance affects the transaction price.
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Keywords


Smart Grid; Energy Transaction; Power Flow Tracing; Pricing

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References


T. Kurbatova and T. Perederii, Global trends in renewable energy development, 2020 IEEE KhPI Week Adv. Technol. KhPI Week 2020 - Conf. Proc., pp. 260-263, 2020.
https://doi.org/10.1109/KhPIWeek51551.2020.9250098

M. B. Shadmand, R. S. Balog, and M. D. Johnson, Predicting variability of high-penetration photovoltaic systems in a community microgrid by analyzing high-temporal rate data, IEEE Trans. Sustain. Energy, vol. 5, no. 4, pp. 1434-1442, 2014.
https://doi.org/10.1109/TSTE.2014.2345745

Saavedra, A., Galvis, N., Mesa, F., Banguero, E., Castaneda, M., Zapata, S., Aristizabal, A., Current State of the Worldwide Renewable Energy Generation: a Review, (2021) International Journal on Engineering Applications (IREA), 9 (3), pp. 115-127.
https://doi.org/10.15866/irea.v9i3.19987

Boulal, A., Chakir, H., Drissi, M., Ouadi, H., Energy Bill Reduction by Optimizing Both Active and Reactive Power in an Electrical Microgrid, (2020) International Review of Electrical Engineering (IREE), 15 (6), pp. 456-464.
https://doi.org/10.15866/iree.v15i6.17909

Kementrian ESDM, National Policy on New Renewable Energy and Energy Conservation, Kementeri. ESDM, pp. 1-32, 2019.

Boada Medina, M., Prieto, K., Mesa, F., Aristizabal, A., Design and Analysis of Renewable Energy Microgrids for Operations in Different Latitudes by Applying Fuzzy Logic Modeling, (2022) International Journal on Engineering Applications (IREA), 10 (1), pp. 1-14.
https://doi.org/10.15866/irea.v10i1.20386

Al Hasibi, R., Hadi, S., Sarjiya, S., The Integration of Renewable-Distributed Energy Resources into Electrical Power System Expansion with Intermittency Consideration, (2021) International Review on Modelling and Simulations (IREMOS), 14 (2), pp. 89-100.
https://doi.org/10.15866/iremos.v14i2.19433

Moloi, K., Hamam, Y., Jordaan, J., Towards Optimal Planning of Renewable Energy Mix Power Integration with Distribution System - A Review, (2021) International Review of Electrical Engineering (IREE), 16 (1), pp. 17-40.
https://doi.org/10.15866/iree.v16i1.19278

A. T. Eseye, M. Lehtonen, T. Tukia, S. Uimonen, and R. J. Millar, Optimal Energy Trading for Renewable Energy Integrated Building Microgrids Containing Electric Vehicles and Energy Storage Batteries, IEEE Access, vol. 7, pp. 106092-106101, 2019.
https://doi.org/10.1109/ACCESS.2019.2932461

A. C. Pinto, T. G. Da Silva Filho, and E. P. MacHado, Evaluation of photovoltaic microgeneration systems connected to utility: Cases studies in petrolina, IEEE Lat. Am. Trans., vol. 18, no. 9, pp. 1538-1546, 2020.
https://doi.org/10.1109/TLA.2020.9381795

T. Y. Ku, W. K. Park, and H. Choi, Renewable energy house complex for sharing surplus power, Int. Conf. ICT Converg., vol. 2020-Octob, pp. 1329-1331, 2020.

Rane, M., Wagh, S., Impact Analysis of PV-Integrated Grid Using Time-Scale Modelling, (2018) International Review on Modelling and Simulations (IREMOS), 11 (5), pp. 343-351.
https://doi.org/10.15866/iremos.v11i5.15394

Boudiaf, B., Zebirate, S., Aissani, N., Chaker, A., Isolated Microgrid Management Using a Multi-Agent System, (2021) International Review on Modelling and Simulations (IREMOS), 14 (1), pp. 1-9.
https://doi.org/10.15866/iremos.v14i1.18940

B. Li, D. A. Robinson, and A. Agalgaonkar, Identifying the wheeling costs associated with solar sharing in LV distribution networks in Australia using power flow tracing and MW-Mile methodology, 2017 Australas. Univ. Power Eng. Conf. AUPEC 2017, vol. 2017-Novem, pp. 1-6, 2018.
https://doi.org/10.1109/AUPEC.2017.8282392

S. Yu, S. Yang, Y. Li, and J. Geng, Design Based on Smart Contract, 2018 China Int. Conf. Electr. Distrib., no. 201804270000140, pp. 2790-2793, 2018.

Sukri, M., Rahman, A., Tahir, M., Razak, J., Achieving Energy Cost Saving Using Best Energy Tariff: a Case Study of a Sewage Plant, (2021) International Review of Electrical Engineering (IREE), 16 (1), pp. 68-77.
https://doi.org/10.15866/iree.v16i1.19067

S. Cvijic and M. Ilic, Area-level reduction of wheeling loop flows in regional power networks, IEEE PES Innov. Smart Grid Technol. Conf. Eur., pp. 1-8, 2012.
https://doi.org/10.1109/ISGTEurope.2012.6465736

M. Murali, M. S. Kumari, and M. Sydulu, A Comparison of Fixed Cost-Based Transmission Pricing Methods, Electr. Electron. Eng., vol. 1, no. 1, pp. 33-41, 2012.
https://doi.org/10.5923/j.eee.20110101.06

C. W. Yu and A. K. David, Pricing transmission services in the context of industry deregulation, IEEE Power Eng. Rev., vol. 17, no. 2, p. 76, 1997.

F. Li and D. L. Tolley, Long-run incremental cost pricing based on unused capacity, IEEE Trans. Power Syst., vol. 22, no. 4, pp. 1683-1689, 2007.
https://doi.org/10.1109/TPWRS.2007.908469

Lizarazo Sandoval, C., Hernandez, Y., Hernandez, J., Methodology for Evaluating the Energy Cost of an Industrial User with and without a Connected Photovoltaic (PV) System, Considering Power Factor Penalties, (2017) International Review of Electrical Engineering (IREE), 12 (4), pp. 332-341.
https://doi.org/10.15866/iree.v12i4.12692

B. Kharbas, M. Fozdar, and H. Tiwari, Transmission tariff allocation using combined MW-Mile & Postage stamp methods, 2011 IEEE PES Int. Conf. Innov. Smart Grid Technol. ISGT India 2011, pp. 6-11, 2011.
https://doi.org/10.1109/ISET-India.2011.6145364

H. Hamada, H. Tanaka, and R. Yokoyama, Wheeling charge based on the identification of transaction paths in deregulated power markets, Proc. Univ. Power Eng. Conf., 2009.

A. Scarfone, Short-Circuit Simulations Help Quantify Wheeling Flow, IEEE Comput. Appl. Power, vol. 8, no. 2, pp. 44-47, 1995.
https://doi.org/10.1109/67.372676

A. Saxena, S. N. Pandey, and L. Srivastava, DC-OPF based allocation of wheeling prices for varying contribution of producers and customers, 1st IEEE Int. Conf. Power Electron. Intell. Control Energy Syst. ICPEICES 2016, pp. 3-7, 2017.
https://doi.org/10.1109/ICPEICES.2016.7853226

Thang, V., A Stochastic Programming Approach for Energy Hubs Integrated with Renewable Energy Sources Based on Life Cycle Cost, (2020) International Journal on Energy Conversion (IRECON), 8 (3), pp. 90-101.
https://doi.org/10.15866/irecon.v8i3.18852

C. T. Su and J. H. Liaw, Power wheeling pricing using power tracing and MVA-KM method, 2001 IEEE Porto Power Tech Proc., vol. 1, pp. 38-43, 2001.

S. Nojeng, M. Y. Hassan, D. M. Said, M. P. Abdullah, and F. Hussin, Improving the MW-mile method using the power factor-based approach for pricing the transmission services, IEEE Trans. Power Syst., vol. 29, no. 5, pp. 2042-2048, 2014.
https://doi.org/10.1109/TPWRS.2014.2303800

Sukri, M., Rahman, A., Tahir, M., Razak, J., Achieving Energy Cost Saving Using Best Energy Tariff: a Case Study of a Sewage Plant, (2021) International Review of Electrical Engineering (IREE), 16 (1), pp. 68-77.
https://doi.org/10.15866/iree.v16i1.19067

A. Enshaee, G. R. Yousefi, and A. Ebrahimi, Allocation of transmission active losses through a novel power tracing-based technique, IET Gener. Transm. Distrib., vol. 12, no. 13, pp. 3201-3211, 2018.
https://doi.org/10.1049/iet-gtd.2017.1519

Moreno-Chuquen, R., Cantillo-Luna, S., Assessment of a Multiperiod Optimal Power Flow for Power System Operation, (2020) International Review of Electrical Engineering (IREE), 15 (6), pp. 484-492.
https://doi.org/10.15866/iree.v15i6.18304

Orumwense, E., Ighodaro, O., Abo-Al-Ez, K., Energy Growth and Sustainability Through Smart Grid Approach: a Case Study of the Nigeria Electric Grid, (2021) International Review of Electrical Engineering (IREE), 16 (6), pp. 542-552.
https://doi.org/10.15866/iree.v16i6.20063

S. Nojeng, M. Y. Hassan, D. M. Said, M. P. Abdullah, and F. Hussin, Improving the MW-mile method using the power factor-based approach for pricing the transmission services, IEEE Trans. Power Syst., vol. 29, no. 5, pp. 2042-2048, 2014.
https://doi.org/10.1109/TPWRS.2014.2303800

R. Zhang, Y. Hui, J. Wu, R. Wang, Z. Lin, and X. He, A Power Flow Tracing Method Based on Power Electronic Signaling for P2P Electricity Trading in DC Microgrids, IEEE Trans. Power Electron., vol. 37, no. 3, pp. 3570-3582, 2022.
https://doi.org/10.1109/TPEL.2021.3114421

S. Nojeng, M. Y. Hassan, and D. M. Said, Improving the MW-Mile Method Using the Power Factor-Based Approach for Pricing the Transmission Services, IEEE Trans. Power Syst., vol. 29, no. 5, pp. 2042-2048, 2014.
https://doi.org/10.1109/TPWRS.2014.2303800

Z. Li, F. Li, and Y. Yuan, Transmission use of system charges based on trade-offs between short-run operation cost and long-run investment cost, IEEE Trans. Power Syst., vol. 28, no. 1, pp. 559-561, 2013.
https://doi.org/10.1109/TPWRS.2012.2202200

J. Wang, H. Zhong, W. Tang, R. Rajagopal, Q. Xia, and C. Kang, Tri-Level Expansion Planning for Transmission Networks and Distributed Energy Resources Considering Transmission Cost Allocation, IEEE Trans. Sustain. Energy, vol. 9, no. 4, pp. 1844-1856, 2018.
https://doi.org/10.1109/TSTE.2018.2816937

A. R. Abhyankar, S. A. Soman, and S. A. Khaparde, Optimization approach to real power tracing: An application to transmission fixed cost allocation, IEEE Trans. Power Syst., vol. 21, no. 3, pp. 1350-1361, 2006.
https://doi.org/10.1109/TPWRS.2006.879278

P. Sreekumar and O. Al Trad, Optimisation of Harmonic Droop Coefficient to Minimize Power Losses in an Islanded Microgrid, 2019 Adv. Sci. Eng. Technol. Int. Conf. ASET 2019, 2019.
https://doi.org/10.1109/ICASET.2019.8714574

C. M. Kishore and C. Venkaiah, Implementation of modified MW-mile method for transmission cost allocation by incorporation of transmission losses considering power factor, 2016 Natl. Power Syst. Conf. NPSC 2016, pp. 6-9, 2017.
https://doi.org/10.1109/NPSC.2016.7858839


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