Published
Recent Trends in the Optimization of Renewable Distrib-uted Generation: A Review
Tendencias recientes en la optimización de la generación distribuida re-novable: una revisión
DOI:
https://doi.org/10.15446/ing.investig.97702Keywords:
energy generation, distributed energy resources, renewable sources, optimization approach (en)generación de energía, recursos energéticos distribuidos, fuentes renovables, enfoque de optimización (es)
Distributed energy resources, or distributed generation (DG), are the mainstay of modern power systems aiming towards green energy generation via the effective integration of renewable energy sources. DG involvement in traditional power systems comprises the enhancement of power quality parameters, the utilization of renewable sources, cost optimization, and stable and reliable energy generation. The advantages of such a revolutionary approach can be achieved with the optimal sizing and allocation of DG by means of adequate optimization techniques, constraints, and optimized parameters. In this study, a comprehensive review of DG optimization is presented in light of recent developments, and a comparison is carried out based on the adopted optimization techniques, test system, enhanced parameters, and outcome evaluations.
Los recursos energéticos distribuidos, o generación distribuida (GD), son el pilar de los sistemas energéticos modernos, que tienen como objetivo generar energía verde a través de la integración efectiva de fuentes de energía renovables. La participación de la GD en el sistema eléctrico tradicional abarca la mejora de los parámetros de calidad de la energía, la utilización de fuentes renovables, la optimización de costos y la generación de energía estable y confiable. Las ventajas de un enfoque tan revolucionario se pueden alcanzar asignando el tamaño y la ubicación óptimos de la GD mediante técnicas de optimización adecuadas, restricciones y parámetros optimizados. En este estudio se presenta una revisión completa de la optimización de GD en vista del desarrollo reciente, y se hace una comparación basada en las técnicas de optimización adoptadas, el sistema de prueba, los parámetros mejorados y las evaluaciones de resultados.
References
Alam, S. S., Florita, A. R., and Hodge, B. (2020). Distributed PV generation estimation using multi-rate and event-driven Kal-man kriging filter. IET Smart Grid, 3(4), 538-46. https://doi.org/10.1049/iet-stg.2018.0246
Allan, G., Eromenko, I., Gilmartin, M., Kockar, I., and McGreg-or, P. (2015). The economics of distributed energy genera-tion: A literature review. Renewable and Sustainable Energy Reviews, 42, 543-556. https://doi.org/10.1016/j.rser.2014.07.064
Ammar, M., and Sharaf, A. M. (2019). Optimized use of PV distributed generation in voltage regulation: A probabilistic formulation. IEEE Transactions on Industrial Informatics, 15(1), 247-256. https://doi.org/10.1109/TII.2018.2829188
Asanov, I., Loktionov, E., and Sharaborova E. (2019, March 25-29). Evaluation of potential distributed solar generation at right-of-way land of infrastructure objects [Conference presentation]. 2019 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM), So-chi, Russia. https://doi.org/10.1109/ICIEAM.2019.8742979
Chai, Y., Guo, L., Wang, C., and Y. Liu. (2020). Hierarchical distributed voltage optimization method for HV and MV dis-tribution networks. IEEE Transactions on Smart Grid, 11(2), 968-980. https://doi.org/10.1109/TSG.2019.2928701
Chang, G. W., and N. Cong Chinh. (2020). Coyote optimiza-tion algorithm-based approach for strategic planning of photovoltaic distributed generation. IEEE Access, 8, 36180-36190. https://doi.org/10.1109/ACCESS.2020.2975107
Confrey, J., Etemadi, A. H., and Eveleigh, T. J. (2020). Energy storage system architecture optimization for grid resilience with high penetration of distributed photovoltaic generation. IEEE Systems Journal, 14(1), 1135-1146. https://doi.org/10.1109/JSYST.2019.2918273
Cui, Q., Bai, X., and Dong, W. (2019). Collaborative planning of distributed wind power generation and distribution net-work with large-scale heat pumps. CSEE Journal of Power and Energy System, 5(3), 335-347. https://doi.org/10.1109/JSYST.2019.2918273
Dong, H., Li, S., and Z. Tian. (2020). Coordinated scheduled strategy for distributed generation considering uncertainties in smart grids. IEEE Access, 8, 86171-86179. https://doi.org/10.1109/ACCESS.2020.2992342
DTI (2007). Review of distributed generation. A joint Govern-ment/ Ofgem report. https://www.ofgem.gov.uk/publications/review-distributed-generation-joint-governmentofgem-report
Eltamaly, A. M., Mohamed, Y. S., and Elghaffar, A. N. A. (2019, April 15-17). Analyzing of wind distributed generation configuration in active distribution network [Conference presentation]. 2019 8th International Conference on Model-ing Simulation and Applied Optimization (ICMSAO), Mana-ma, Bahrain. https://doi.org/10.1109/ICMSAO.2019.8880291
Eseye, A. T., Lehtonen, M., and Millar, R. J. (2019). Adaptive predictor subset selection strategy for enhanced forecasting of distributed PV power generation. IEEE Access, 7, 90652-90665. https://doi.org/10.1109/ACCESS.2019.2926826
Fathabad, A. M., Cheng, J., Pan, K., and Qiu, F. (2020). Data-driven planning for renewable distributed generation in dis-tribution systems. IEEE Transactions on Power Systems, 35(6), 4357-4368. https://doi.org/10.1109/TPWRS.2020.3001235
Gumilar, L., Habibi, M. A., and Nugroho, W. S. (2020, February 20). Analysis of short circuit on four types wind power plants as distributed generation [Conference presentation]. 2020 International Conference on Smart Technology and Applications (ICoSTA), Surabaya, Indonesia. https://doi.org/10.1109/ICoSTA48221.2020.1570599089
Jana, C., Bala, M. J., and Goswami, S. K. (2020). Finding of the probable size and location of distributed generation in unbalanced distribution system with demand uncertainty [Conference presentation]. 2020 IEEE Calcutta Conference (CALCON), Kolkata, India. https://doi.org/10.1109/CALCON49167.2020.9106559
Karaaom, C., Jirapong, P., and Tantrapon, K. (2020, March, 4-6). Optimal allocation of tie switch in distribution systems for energy loss reduction using particle swarm optimization [Conference presentation 2020 8th International Electrical Engineering Congress (iEECON), Chiang Mai, Thailand. https://doi.org/10.1109/iEECON48109.2020.229528
Khamari, D., Sahu, R. K., and Panda, S. (2020, January 3-5). Moth Swarm Algorithm based cascade PI-PD controller for frequency regulation of distributed power generation system with electric vehicle [Conference presentation]. 2020 First International Conference on Power, Control and Computing Technologies (ICPC2T), Raipur, India. https://doi.org/10.1109/ICPC2T48082.2020.9071491
Kumar, K., Ramswaroop, R., Yadav, L. K., and Joshi, P. (2020, February 28 – March 1). Optimal planning of distributed generation using hybrid metaheuristic approach [Confer-ence presentation]. 2020 IEEE 9th Power India International Conference (PIICON), Sonepat, India. https://doi.org/10.1109/PIICON49524.2020.9112955
Lu, H., Y. Chai, Y., J. Hao, J., and Chen, X. (2020). Network simplification-based cluster coordinated optimization meth-od for distributed PVs with inadequate measurement. IEEE Access, 8, 65283-65293. https://doi.org/10.1109/ACCESS.2020.2984709
Ma, Q., Zhang, Y., and Wen, Y. (2019, December 1-4). Re-search on optimization for siting and sizing of distributed generation considering wind and light abandonment and environment cost [Conference presentation]. 2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (AP-PEEC), Macao, China. https://doi.org/10.1109/APPEEC45492.2019.8994588
Madala, S., Ramaekers, T., and Herink, A. (2019, April 28 – May 1). The story of a rural public power district – Before and af-ter distribution grid conneceted wind power generation [Conference presentation]. 2019 IEEE Rural Electric Power Conference (REPC), Bloomington, MN, USA. https://doi.org/10.1109/REPC.2019.00018
Mahmoud, H. A., and Rama, K. (2017). A review of the opti-mal allocation of distributed generation: Object, constraints, methods, and algorithms. Renewable and Sustainable Ener-gy Reviews, 75, 293-312. https://doi.org/10.1016/j.rser.2016.10.071
Parida, A., Choudhury, S., and Chatterjee, D. (2020, February 28 –March 1). Optimal solar PV based distributed generation system suitable for cost-effective energy supply [Conference presen-tation]. 2020 IEEE 9th Power India International Conference (PIICON), Sonepat, India. https://doi.org/10.1109/PIICON49524.2020.9113018
Parihar S. S., and Malik M. (2021). Optimal allocation of multi-ple DGs in RDS using PSO and its impact on system reliability. Electronics and Energetics, 34(2), 219-237. https://doi.org/10.2298/FUEE2102219P
Parihar S. S., and Malik M. (2022). Analysing the impact of optimally allocated solar PV-based DG in harmonics pollut-ed distribution network. Sustainable Energy Technologies and Assessments, 49, 101784. https://doi.org/10.1016/j.seta.2021.101784
Rafi, V., and Dhal, P. K. (2020, January 20-22). Loss minimiza-tion based distributed generator placement at radial dis-tributed system using hybrid optimization technique [Con-ference presentation]. 2020 International Conference on Computer Communication and Informatics (ICCCI), Coim-batore, India. https://doi.org/10.1109/ICCCI48352.2020.9104145
Saha, S., and Mukherjee, V. (2020, February 28 – March 1). A novel meta-heuristic for optimal allocation of distributed generation in balanced distribution network considering hourly load variation [Conference presentation]. 2020 IEEE 9th Power India International Conference (PIICON), Sonepat, India. https://doi.org/10.1109/PIICON49524.2020.9113054
Saidah, and Masrufun M. (2020, February 20). Optimization of DG placement and size using PSO based on GUI [Confer-ence presentation]. 2020 International Conference on Smart Technology and Applications (ICoSTA), Surabaya, Indone-sia. https://doi.org/10.1109/ICoSTA48221.2020.1570615982
Samala, R. K., and Kotapuri, M. R. (2020a). Distributed genera-tion allocation in distribution system using particle swarm op-timization based ant-lion. International Journal of Control and Automation, 13, 414-426. http://sersc.org/journals/index.php/IJCA/article/view/6004
Samala, R. K., and Kotapuri, M. R. (2020b). Optimal allocation of multiple photo-voltaic and/or wind-turbine based distrib-uted generations in radial distribution system using hybrid technique with fuzzy logic controller. SN Applied Sciences, 2, 191. https://doi.org/10.1007/s42452-020-1957-3
Santos, L. N., Sousa, G. G., Salvatti, G. A., Carati, E. G., da Costa, J. P., Cardoso, R., Stein, C. M. O., and, Nadal, Z. L. I. (2020, February 26-28). A distributed generation manager with support for distributed network operator commands [Conference presentation]. 2020 IEEE International Confer-ence on Industrial Technology (ICIT), Buenos Aires, Argentina. https://doi.org/10.1109/ICIT45562.2020.9067315
Saxena, V., Kumar, N., and Nangia, U. (2021, February 11-13). Smart Grid: A Sustainable Smart Approach [Conference presentation]. 2020 3rd International Conference on Compu-tational & Experimental Methods in Mechanical Engineering ICCEMME (2021), Uttar Pradesh, India. https://doi.org/10.1088/1742-6596/2007/1/012042
Singh, P., Bishnoi, S. K., and Meena, N. K. (2020). Moth search optimization for optimal DERs integration in conjunction to OLTC tap operations in distribution systems. IEEE Systems Journal, 14(1), 880-888. https://doi.org/10.1109/JSYST.2019.2911534
Suresh, M. C. V., and Edward J. B. (2020). A hybrid algorithm based optimal placement of DG units for loss reduction in the distribution system. Applied Soft Computing, 91, 106191. https://doi.org/10.1016/j.asoc.2020.106191
Wang, Z., Liu, H., and Li, J. (2020, June 4-7). Reactive power planning in distribution network considering the consump-tion capacity of distributed generation [Conference presen-tation]. 2020 5th Asia Conference on Power and Electrical Engineering (ACPEE), Chengdu, China. https://doi.org/10.1109/ACPEE48638.2020.9136183
Yang, J. (2020, March 18-20). Research on optimized reconfig-uration of distributed distribution network based on ant colony optimization algorithm [Conference presentation]. 2020 International Conference on Computer Engineering and Application (ICCEA), Guangzhou, China. https://doi.org/10.1109/ICCEA50009.2020.00012
Yu, C., Zhang, G., and Peng, B. (2020, June 4-7). Feeder power flow control strategy for flexible multi-state switch with joint access to the distributed generation [Conference presenta-tion]. 2020 5th Asia Conference on Power and Electrical En-gineering (ACPEE), Chengdu, China. https://doi.org/10.1109/ACPEE48638.2020.9136556
Dimensions
PlumX
Article abstract page views
Downloads
How to Cite
License
Copyright (c) 2022 VIVEK SAXENA, NARENDRA KUMAR, UMA NANGIA
This work is licensed under a Creative Commons Attribution 4.0 International License.
The authors or holders of the copyright for each article hereby confer exclusive, limited and free authorization on the Universidad Nacional de Colombia's journal Ingeniería e Investigación concerning the aforementioned article which, once it has been evaluated and approved, will be submitted for publication, in line with the following items:
1. The version which has been corrected according to the evaluators' suggestions will be remitted and it will be made clear whether the aforementioned article is an unedited document regarding which the rights to be authorized are held and total responsibility will be assumed by the authors for the content of the work being submitted to Ingeniería e Investigación, the Universidad Nacional de Colombia and third-parties;
2. The authorization conferred on the journal will come into force from the date on which it is included in the respective volume and issue of Ingeniería e Investigación in the Open Journal Systems and on the journal's main page (https://revistas.unal.edu.co/index.php/ingeinv), as well as in different databases and indices in which the publication is indexed;
3. The authors authorize the Universidad Nacional de Colombia's journal Ingeniería e Investigación to publish the document in whatever required format (printed, digital, electronic or whatsoever known or yet to be discovered form) and authorize Ingeniería e Investigación to include the work in any indices and/or search engines deemed necessary for promoting its diffusion;
4. The authors accept that such authorization is given free of charge and they, therefore, waive any right to receive remuneration from the publication, distribution, public communication and any use whatsoever referred to in the terms of this authorization.
