Sustainable and 5G enhanced power distribution network design considering renewable energy generation and dynamic electricity pricing

Abstract

Power distribution network design optimization is the principal concern for power companies. To address both environmental issues and increased energy demand, the need to obtain energy from distributed renewable energy resources is increasing. This study aims at integrating 5G with a sustainable power distribution network design. The model considers the interconnection of the power company with the distributed renewable energy resource sites and its customers. The sustainable and 5G enhanced power distribution network design model deals with the uncertainties related to power generation and customers’ energy demand, while maximizing company profits. The fuzzy uncertainties associated in the model are addressed by the application of fuzzy programming approach. The model principally determines the energy generation capacity of the distributed renewable energy resource units, dynamic pricing, and the level of 5G implementation. The numerical analysis shows that the power company optimizes its gains, and it earns a profit of $1.6E + 07 with an implementation of 0.6315G investment level. This result points out that power generation companies and electricity utility service providers need to consider implementing 5G preference to enhance the internet of things in the energy system.

Keywords

Sustainability / 5G / Renewable energy / Power distribution / Dynamic pricing

References

[1] Abdullah MA, Muttaqi KM, Agalgaonkar AP. Sustainable energy system design with distributed renewable resources considering economic, environmental and uncertainty aspects. Renew Energy, 2015, 78: 165-172

[2] Adetokun BB, Muriithi CM, Ojo JO. Voltage stability assessment and enhancement of power grid with increasing wind energy penetration. Int J Electr Power Energy Syst, 2020, 120: 105988

[3] Adil M, Khan MK. Emerging IoT applications in sustainable smart cities for COVID-19: network security and data preservation challenges with future directions. Sustain Cities Soc, 2021, 75: 103311

[4] Chen Y, Chen C, Ma J, Qiu W, Liu S, Lin Z, Qian M, Zhu L, Zhao D. Multi-objective optimization strategy of multi-sources power system operation based on fuzzy chance constraint programming and improved analytic hierarchy process. Energy Rep, 2021, 7: 268-274

[5] Dashti R, Rouhandeh M. Power distribution system planning framework (a comprehensive review). Energ Strat Rev, 2023, 50: 101256

[6] Di Silvestre ML, Favuzza S, Sanseverino ER, Zizzo G. How decarbonization, digitalization and decentralization are changing key power infrastructures. Renew Sustain Energy Rev, 2018, 93: 483-498

[7] Donta PK, Srirama SN, Amgoth T, Rao Annavarapu CS. Survey on recent advances in IoT application layer protocols and machine learning scope for research directions. Digit Commun Netw, 2021

[8] Dutta S, Biswal MP, Acharya S, Mishra R. Fuzzy stochastic price scenario based portfolio selection and its application to BSE using genetic algorithm. Appl Soft Comput J, 2018, 62: 867-891

[9] ESIG (2019) Towards 100% renewable energy pathways: key research needs (Issue October).

[10] Esmaeilian B, Sarkis J, Lewis K, Behdad S. Blockchain for the future of sustainable supply chain management in Industry 4.0. Resour Conserv Recycl, 2020, 163: 105064

[11] Gao F, He B. Power supply line selection decision system for new energy distribution network enterprises based on digital twinning. Energy Rep, 2021, 7: 760-771

[12] Hui H, Ding Y, Shi Q, Li F, Song Y, Yan J. 5G network-based Internet of Things for demand response in smart grid: a survey on application potential. Appl Energy, 2020, 257: 113972

[13] Huseien GF, Shah KW. A review on 5G technology for smart energy management and smart buildings in Singapore. Energy AI, 2022, 7: 100116

[14] Ibn-Mohammed T, Mustapha KB, Godsell J, Adamu Z, Babatunde KA, Akintade DD, Acquaye A, Fujii H, Ndiaye MM, Yamoah FA, Koh SCL. A critical review of the impacts of COVID-19 on the global economy and ecosystems and opportunities for circular economy strategies. Resour Conserv Recyc, 2021, 164: 105169

[15] Ingemarsdotter E, Jamsin E, Balkenende R. Opportunities and challenges in IoT-enabled circular business model implementation—a case study. Resour Conserv Recycl, 2020, 162: 105047

[16] Israr A, Yang Q, Li W, Zomaya AY. Renewable energy powered sustainable 5G network infrastructure: opportunities, challenges and perspectives. J Netw Comput Appl, 2021

[17] Ji B, Chen Z, Chen S, Zhou B, Li C, Wen H. Joint optimization for ambient backscatter communication system with energy harvesting for IoT. Mech Syst Signal Process, 2020, 135(2): 106412

[18] Kaur L, Kaur R. A survey on energy efficient routing techniques in WSNs focusing IoT applications and enhancing fog computing paradigm. Glob Transit Proc, 2021

[19] Kroposki B, Johnson B, Zhang Y, Gevorgian V, Denholm P, Hodge BM, Hannegan B. Achieving a 100% renewable grid: operating electric power systems with extremely high levels of variable renewable energy. IEEE Power Energ Mag, 2017, 15(2): 61-73

[20] Ledwith J (2019) Exponential function and decay. Thought Co. https://www.thoughtco.com/exponential-decay-definition-2312215

[21] Lei T, Cai Z, Hua L. 5G-oriented IoT coverage enhancement and physical education resource management. Microprocess Microsyst, 2021, 80: 103346

[22] Leligou HC, Zahariadis T, Sarakis L, Tsampasis E, Voulkidis A, Velivassaki TE (2018) Smart grid: a demanding use case for 5G technologies. In: 2018 IEEE international conference on pervasive computing and communications workshops, PerCom workshops 2018, pp 215–220. https://doi.org/10.1109/PERCOMW.2018.8480296

[23] Lima C, Relvas S, Barbosa-Póvoa A. Designing and planning the downstream oil supply chain under uncertainty using a fuzzy programming approach. Comput Chem Eng, 2021, 151: 107373

[24] Liu X. Automatic routing of medium voltage distribution network based on load complementary characteristics and power supply unit division. Int J Electr Power Energy Syst, 2021, 133: 106467

[25] Liu AH, Wan SP, Dong JY. An axiomatic design-based mathematical programming method for heterogeneous multi-criteria group decision making with linguistic fuzzy truth degrees. Inf Sci, 2021, 571(168): 649-675

[26] Liu G, Zhu Y, Xu S, Chen YC, Tang H. PSO-based power-driven X-routing algorithm in semiconductor design for predictive intelligence of IoT applications. Appl Soft Comput, 2022, 114(2011): 108114

[27] Magazzino C. Ecological footprint, electricity consumption, and economic growth in China: geopolitical risk and natural resources governance. Empir Econ, 2023

[28] Paul S, Poudyal A, Poudel S, Dubey A, Wang Z. Resilience assessment and planning in power distribution systems: past and future considerations. Renew Sustain Energy Rev, 2024, 189: 113991

[29] Popli S, Jha RK, Jain S. A comprehensive survey on Green ICT with 5G-NB-IoT: towards sustainable planet. Comput Netw, 2021

[30] Pratap A, Gupta R, Nadendla VSS, Das SK. Bandwidth-constrained task throughput maximization in IoT-enabled 5G networks. Pervasive Mob Comput, 2020

[31] Prionistis G, Souxes T, Vournas C. Voltage stability support offered by active distribution networks. Electr Power Syst Res, 2021, 190: 106728

[32] Quijano DA, Padilha-Feltrin A. Optimal integration of distributed generation and conservation voltage reduction in active distribution networks. Int J Electr Power Energy Syst, 2019, 113(May): 197-207

[33] Ranta V, Aarikka-Stenroos L, Väisänen JM. Digital technologies catalyzing business model innovation for circular economy—multiple case study. Resour Conserv Recycl, 2021, 164: 105155

[34] Salmasnia A, Shabani A. Opportunistic maintenance modeling for series production systems based on bottleneck by considering energy consumption and market demand. J Ind Prod Eng, 2023

[35] Sekaran R, Goddumarri SN, Kallam S, Ramachandran M, Patan R, Gupta D. 5G integrated spectrum selection and spectrum access using AI-based frame work for IoT based sensor networks. Comput Netw, 2021

[36] Sun J, Yu Q, Niyazbek M, Chu F. 5G network information technology and military information communication data services. Microprocess Microsyst, 2020

[37] Tello-Oquendo L, Lin SC, Akyildiz IF, Pla V. Software-defined architecture for QoS-aware IoT deployments in 5G systems. Ad Hoc Net, 2019

[38] Tsao YC, Thanh VV, Lu JC. Multiobjective robust fuzzy stochastic approach for sustainable smart grid design. Energy, 2019, 176: 929-939

[39] Tsao YC, Thanh, Van V, Wu Q. Sustainable microgrid design considering blockchain technology for real-time price-based demand response programs. Int J Electr Power Energy Syst, 2021, 125: 106418

[40] Tsao Y-C, Beyene TD, Thanh V-V, Gebeyehu SG, Kuo T-C. Power distribution network design considering the distributed generations and differential and dynamic pricing. Energy, 2022, 241: 122828

[41] Tsao Y, Beyene TD, Thanh V, Gebeyehu SG. Power distribution network design considering dynamic and differential pricing, buy-back, and carbon trading. Comput Ind Eng, 2022, 172: 108567

[42] Tsao Y, Beyene TD, Gebeyehu SG, Kuo T. Renewable power distribution networks considering dynamic-differential pricing, carbon trading, and solid waste recycling: a fuzzy programming approach. Int J Electr Power Energy Syst, 2023, 144: 108521

[43] Wenzhi S, Zhang H, Tseng ML, Weipeng Z, Xinyang L. Hierarchical energy optimization management of active distribution network with multi-microgrid system. J Ind Prod Eng, 2022, 39(3): 210-229

[44] Wu R, Sansavini G. Active distribution networks or microgrids? Optimal design of resilient and flexible distribution grids with energy service provision. Sustain Energy Grids Netw, 2021, 26: 100461

[45] Yu H, Solvang WD. A fuzzy-stochastic multi-objective model for sustainable planning of a closed-loop supply chain considering mixed uncertainty and network flexibility. J Clean Prod, 2020, 266: 121702

[46] Zhan K. Sports and health big data system based on 5G network and Internet of Things system. Microprocess Microsyst, 2021

[47] Zhao J, Zhu WP. Power allocation and scaling law analysis for secured and energy efficient URLLC IoT networks. Phys Commun, 2021

[48] Zhong J, Bollen M, Rönnberg S. Towards a 100% renewable energy electricity generation system in Sweden. Renew Energy, 2021, 171: 812-824

Funding

National Science and Technology Council(112-2628-E-011-009)

National Taiwan University of Science and Technology(NTUST- DROXO TECH- No. 10050)