برنامه‌ریزی استوار سیستم ترکیبی جزیره‌ای شامل منابع تجدیدپذیر و تجدیدناپذیر و ذخیره‌سازهای ساکن و سیار
محورهای موضوعی : انرژی های تجدیدپذیر
1 - شرکت لوله سازی اهواز- شهرک صنعتی کارون، اهواز، ایران
کلید واژه: منابع تجدیدپذیر, الگوریتم تکاملی ترکیبی, بهینه‌سازی استوار, ذخیره‌سازهای ساکن و سیار, سیستم ترکیبی جزیره‌ای,
چکیده مقاله :
در این مقاله برنامه ریزی استوار سیستم ترکیبی جزیره ای جهت ایجاد یک سیستم یک پارچه شامل توربین بادی، فتوولتائیک، دیزل ژنراتور و ذخیره سازی ساکن (باتری) و سیار (خودروهای الکتریکی) ارائه می شود. طرح پیشنهادی کمینه سازی مجموع هزینه برنامه ریزی (شامل احداث، تعمیر، نگهداری و بهره برداری) عناصر مذکور و سطح آلایندگی زیست محیطی را بر عهده دارد. این مسأله نیز مقید به مدل بهره برداری و برنامه ریزی منابع و ذخیره سازهای مختلف و قید تعادل توان در سیستم ترکیبی جزیره ای است. طرح مذکور در قالب بهینه سازی پارتو مبنی بر روش مجموع توابع وزن دار مدل سازی می شود. همچنین از بهینه سازی استوار مبنی بر عدم قطعیت کران دار برای مدل سازی عدم قطعیت های بار، توان تجدیدپذیر و انرژی ذخیره سازهای سیار استفاده می شود. سپس از الگوریتم تکاملی ترکیبی مبنی بر ترکیب بهینه سازی دسته میگوها و بهینه سازی گرگ های خاکستری جهت دست یابی به راه حل بهینه دارای انحراف معیار پایین در پاسخ دهی نهایی استفاده می گردد. در نهایت با استخراج نتایج عددی مشاهده می گردد که طرح پیشنهادی قابلیت مناسبی در برنامه ریزی سیستم یاد شده از نظر اقتصادی و زیست محیطی دارد.
In this paper, the robust planning of the islanded hybrid system (IHS) to create an integrated system with wind turbine, photovoltaic, diesel generator, stationary (battery) and mobile (electric vehicles) storages is presented. The proposed scheme minimizes the planning cost (including construction, maintenance, and operation) of the mentioned sources and storages, and environmental pollution level. This problem is constrained to operation and planning model of the different sources and storages, and power balance constraint in IHS. The proposed scheme is formulated in the Pareto optimization framework based on method of the summation of weighted functions. Also, the bounded uncertainty-based robust optimization (BURO) is used to model the uncertainties of load, renewable power, and energy of mobile storage. Then, the hybrid evolutionary algorithm according to composition of Krill Herd Optimization (KHO) and Grey Wolf Optimization (GWO) algorithms obtains an optimal solution including low standard deviation in the final response. Finally, it is seen that the proposed scheme has a suitable capability in the planning of the proposed system according to economic and environmental viewpoints based on obtained numerical results.
[1] M. Setareh, H. Ghasemi, "Power management in balanced island microgrids considering small signal stability and dynamic response", Journal of Iranian Association of Electrical and Electronic Engineering, vol. 12, no. 1, pp. 1-12, 2015 (in Persian).
[2] S. Ghavidel, J. Aghaei, K.M Muttaqi, A. Heidari, "Renewable energy management in a remote area using Modified Gravitational Search Algorithm", Energy, vol. 97, pp. 391-399, Feb. 2016 (doi: 10.1016/j.energy.2015.12.132).
[3] S. Piroozi, J. Aghaei, "Active and reactive power management of intelligent distribution network using electric vehicles as a linear problem mixed with integers", Computational Intelligence in Electrical Engineering, vol. 8, no. 2, pp. 1-12, Summer 2017 (doi: 10.22108/isee.2017.21703) (in Persian).
[4] S. Piroozi, "Active and reactive power management of intelligent distribution network with harmonic compensation of nonlinear loads using electric vehicles", Ph.D. Thesis, Shiraz University of Technology, 2017 (in Persian).
[5] M. Das, M. Singh, A. Biswas, "Techno-economic optimization of an off-grid hybrid renewable energy system using meta-heuristic optimization approaches-case of a radio transmitter station in India", Energy Conversion and Management, vol. 185, pp. 339-352, April 2019 (doi: 10.1016/j.enconman.2019.01.107).
[6] A. Maleki, A. Askarzadeh, "Optimal sizing of a PV/wind/diesel system with battery storage for electrification to an off-grid remote region: A case study of Rafsanjan, Iran", Sustainable Energy Technologies and Assessments, vol. 7, pp. 147-153, Sept. 2014 (doi: 10.1016/j.seta.2014.04.005).
[7] A. Askarzadeh, "Distribution generation by photovoltaic and diesel generator systems: Energy management and size optimization by a new approach for a stand-alone application", Energy, vol. 122, pp. 542-551, March 2017 (doi: 10.1016/j.energy.2017.01.105).
[8] M.A. Ashraf, Z. Liu, A. Alizadeh, S. Nojavan, K. Jermsittiparsert, D. Zhang, "Designing an optimized configuration for a hybrid PV/diesel/battery energy system based on metaheuristics: A case study on gobi desert", Journal of Cleaner Production, vol. 270, Article Number: 122467, Oct. 2020 (doi: 10.1016/j.jclepro.2020.122467).
[9] T. Salameh, M. A. Abdelkareem, A.G. Olabi, E.T. Sayed, M. Al-Chaderchi, H. Rezk, "Integrated standalone hybrid solar PV, fuel cell and diesel generator power system for battery or supercapacitor storage systems in Khorfakkan, United Arab Emirates", International Journal of Hydrogen Energy, vol. 46, no. 8, pp. 6014-6027, Jan. 2021 (doi: 10.1016/j.ijhydene.2020.08.153)
[10] C. Li, D. Zhou, H. Wang, H. Cheng, D. Li, "Feasibility assessment of a hybrid PV/diesel/battery power system for a housing estate in the severe cold zone—A case study of Harbin, China", Energy, vol. 185, pp. 671-681, 2019 (doi: 10.1016/j.energy.2019.07.079).
[11] B. Soudan, A. Darya, "Autonomous smart switching control for off-grid hybrid PV/battery/diesel power system", Energy, vol. 211, pp. 118567, 2020 (doi: 10.1016/j.energy.2020.118567).
[12] Rodríguez-Gallegos, D. Carlos, et al., "A siting and sizing optimization approach for PV–battery–diesel hybrid systems", IEEE Trans. on Industry Applications, vol. 54, no. 3, pp. 2637-2645, May-June 2018 (doi: 10.1109/TIA.2017.2787680)
[13] S. Salisu, M.W. Mustafa, L. Olatomiwa, O.O. Mohammed, "Assessment of technical and economic feasibility for a hybrid PV-wind-diesel-battery energy system in a remote community of north central Nigeria", Alexandria Engineering Journal, vol. 58, pp. 1103-1118, Dec. 2019 (doi: 10.1016/j.aej.2019.09.013).
[14] R. Kaur, V. Krishnasamy, N.K. Kandasamy, S. Kumar, "Discrete multiobjective grey wolf algorithm based optimal sizing and sensitivity analysis of PV-wind-battery system for rural telecom towers", IEEE Systems Journal, vol. 14, no. 1, pp. 729-737, March 2020 (doi: 10.1109/JSYST.2019.2912899).
[15] M. Shahzad Javed, T. Ma, J. Jurasz, S. Ahmed, J. Mikulik, "Performance comparison of heuristic algorithms for optimization of hybrid off-grid renewable energy systems", Energy, vol. 210, Article Number: 118599, Aug. 2020 (doi: 10.1016/j.energy.2020.118599).
[16] K.S. Tang, K.F. Man, S. Kwong, Q. He, "Genetic algorithms and their applications", IEEE Signal Processing Magazine, vol. 13, pp. 22–37, Nov. 1996 (doi: 10.1109/79.543973).
[17] M. Nazari-Heris, S. Abapour, B. Mohammadi-Ivatloo, "Optimal economic dispatch of FC-CHP based heat and power micro-grids", Applied Thermal Engineering, vol. 114, pp. 756-769, March 2017 (doi: 10.1016/j.applthermaleng.2016.12.016).
[18] W. Jakob, C. Blume, "Pareto optimization or cascaded weighted sum: A comparison of concepts", Algorithms, vol. 7, no. 1, pp. 166-185, March 2014 (doi:10.3390/a7010166).
[19] S.M. Mohseni-Bonab, A. Rabiee, B. Mohammadi-Ivatloo, "Voltage stability constrained multi-objective optimal reactive power dispatch under load and wind power uncertainties: A stochastic approach", Renewable Energy, vol. 85, pp. 598-609, Jan. 2016 (doi: 10.1016/j.renene.2015.07.021).
[20] S.A. Bozorgavari, J. Aghaei, S. Pirouzi, A. Nikoobakht, H. Farahmand, M. Korpås, "Robust planning of distributed battery energy storage systems in flexible smart distribution networks: A comprehensive study", Renewable and Sustainable Energy Reviews, vol. 123, Article Paper: 109739, May 2020 (doi: 10.1016/j.rser.2020.109739).
[21] S. A. Bozorgavari, H. Farahmand, J. Aghaei, S. Pirouzi, S.A. Bozorgavari, V. Vahidinasab, "Two-stage hybrid stochastic/robust optimal coordination of distributed battery storage planning and flexible energy management in smart distribution network", Journal of Energy Storage, vol. 26, Article Number: 100970, April 2019 (doi:10.1016/j.est.2019.100970).
[22] R.R. Rani, D. Ramyachitra, "Krill herd optimization algorithm for cancer feature selection and random forest technique for classification", Proceeding of the IEEE/ICSESS, pp. 109-113, Beijing, China, Nov. 2017 (doi: 10.1109/ICSESS.2017.8342875).
[23] S.A. Mirjalili, S.M. Mirjalili, A. Lewis, "Grey wolf optimizer", Advances in Engineering Software, vol. 69, pp. 46-61, March 2014 (doi: 0.1016/j.advengsoft.2013.12.007).
[24] W.K.A. Najy, H.H. Zeineldin, W.L. Woon, "Optimal protection coordination for microgrids with grid-connected and islanded capability", IEEE Trans. on Industrial Electronics, vol. 60, no. 4, pp. 1668-1677, April 2013 (doi: 10.1109/TIE.2012.2192893).
_||_