Maximum hosting capacity estimation for renewables in power grids considering energy storage and transmission lines expansion using hybrid sine cosine artificial rabbits algorithm

Zobaa, 2020 Ismael, 2019, State-of-the-art of hosting capacity in modern power systems with distributed generation, Renew Energy, 130, 1002, 10.1016/j.renene.2018.07.008 International Energy Outlook 2021 - U.S. Energy Information Administration (EIA) n.d. Ramadan, 2022, Optimal allocation of renewable DGs using artificial hummingbird algorithm under uncertainty conditions, Ain Shams Eng J Hemeida, 2022, Multi-objective multi-verse optimization of renewable energy sources-based micro-grid system: real case, Ain Shams Eng J, 13, 10.1016/j.asej.2021.06.028 Bhuvanesh, 2018, Aiming towards pollution free future by high penetration of renewable energy sources in electricity generation expansion planning, Futures, 104, 25, 10.1016/j.futures.2018.07.002 Bamisile, 2022, A 2030 and 2050 feasible/sustainable decarbonization perusal for China’s Sichuan Province: a deep carbon neutrality analysis and EnergyPLAN, Energy Convers Manag, 261 Hemeida, 2020, Optimum design of hybrid wind/PV energy system for remote area, Ain Shams Eng J, 11, 11, 10.1016/j.asej.2019.08.005 Ismael, 2019, Probabilistic hosting capacity enhancement in non-sinusoidal power distribution systems using a hybrid PSOGSA optimization algorithm, Energies, 12, 1018, 10.3390/en12061018 Diaaeldin, 2020, Enhancement of hosting capacity with soft open points and distribution system reconfiguration: Multi-objective bilevel stochastic optimization, Energies, 13 Ebeed M, Aleem SHEA. Overview of uncertainties inmodern power systems: uncertainty models and methods. In: Zobaa AF, Abdel Aleem SHEBT-U in MPS, editors. Uncertainties mod power syst. Academic Press; 2021. p. 1–34. doi: 10.1016/b978-0-12-820491-7.00001-3. Ahmed, 2022, BONMIN solver-based coordination of distributed FACTS compensators and distributed generation units in modern distribution networks, Ain Shams Eng J, 13, 10.1016/j.asej.2021.101664 Bletterie B, Le Baut J, Kadam S, Bolgaryn R, Abart A. Hosting capacity of LV networks with extended voltage band. In: Proc. - 2015 Int symp smart electr distrib syst technol. EDST 2015. IEEE; 2015. p. 531–6. doi: 10.1109/SEDST.2015.7315265. Navarro-Espinosa A, Ochoa LF. Increasing the PV hosting capacity of Lv networks: OLTC-fitted transformers vs. reinforcements. In: 2015 IEEE power energy soc innov smart grid technol conf. ISGT 2015; 2015. doi: 10.1109/ISGT.2015.7131856. Sakar S, Balci ME, Abdel Aleem SHE, Zobaa AF. Increasing PV hosting capacity in distorted distribution systems using passive harmonic filtering. Electr Power Syst Res 2017;148:74–86. doi: 10.1016/j.epsr.2017.03.020. Zobaa AF, Abdel Aleem SHE, Ismael SM, Ribeiro PF. Hosting capacity for smart power grids. Cham: Springer International Publishing; 2020. doi: 10.1007/978-3-030-40029-3. Sinsel, 2020, Challenges and solution technologies for the integration of variable renewable energy sources—a review, Renew Energy, 145, 2271, 10.1016/j.renene.2019.06.147 Almalaq, 2022, Towards increasing hosting capacity of modern power systems through generation and transmission expansion planning, Sustain, 14, 2998, 10.3390/su14052998 Ali, 2021, Maximizing hosting capacity of uncertain photovoltaics by coordinated management of OLTC, VAr sources and stochastic EVs, Int J Electr Power Energy Syst, 127, 10.1016/j.ijepes.2020.106627 Najafi, 2022, Optimal bilevel operation-planning framework of distributed generation hosting capacity considering rival DISCO and EV aggregator, IEEE Syst J, 16, 5023, 10.1109/JSYST.2021.3123242 Sahu, 2022, Operational hosting capacity-based sustainable energy management and enhancement, Int J Energy Res, 46, 2418, 10.1002/er.7317 Da Silva, 2021, Simultaneous distributed generation and electric vehicles hosting capacity assessment in electric distribution systems, IEEE Access, 9, 110927, 10.1109/ACCESS.2021.3102684 Quijano, 2021, Increasing distributed generation hosting capacity in distribution systems via optimal coordination of electric vehicle aggregators, IET Gener Transm Distrib, 15, 359, 10.1049/gtd2.12026 Cao, 2021, Risk-averse storage planning for improving RES hosting capacity under uncertain siting choices, IEEE Trans Sustain Energy, 12, 1984, 10.1109/TSTE.2021.3075615 Home-Ortiz, 2022, PV hosting capacity assessment in distribution systems considering resilience enhancement, Sustain Energy, Grids Networks, 32, 10.1016/j.segan.2022.100829 Hamidpour, 2019, Flexible, reliable, and renewable power system resource expansion planning considering energy storage systems and demand response programs, IET Renew Power Gener, 13, 1862, 10.1049/iet-rpg.2019.0020 Esmaili, 2020, Transmission expansion planning including TCSCs and SFCLs: a MINLP approach, IEEE Trans Power Syst, 35, 4396, 10.1109/TPWRS.2020.2987982 Franken, 2020, Transmission expansion planning via power flow controlling technologies, IET Gener Transm Distrib, 14, 3530, 10.1049/iet-gtd.2019.1897 Refaat, 2021, A mathematical approach to simultaneously plan generation and transmission expansion based on fault current limiters and reliability constraints, Mathematics, 9, 2771, 10.3390/math9212771 Abdi, 2021, Metaheuristics and transmission expansion planning: a comparative case study, Energies, 14, 3618, 10.3390/en14123618 Ahmadipour, 2022, Optimal load shedding scheme using grasshopper optimization algorithm for islanded power system with distributed energy resources, Ain Shams Eng J, 14 Alsaidan, 2022, A PEMFC model optimization using the enhanced bald eagle algorithm, Ain Shams Eng J, 13, 10.1016/j.asej.2022.101749 Varaee, 2017, Engineering optimization based on ideal gas molecular movement algorithm, Eng Comput, 33, 71, 10.1007/s00366-016-0457-y Heidari, 2019, Harris hawks optimization: Algorithm and applications, Futur Gener Comput Syst, 97, 849, 10.1016/j.future.2019.02.028 Tu, 2021, The Colony Predation Algorithm, J Bionic Eng, 18, 674, 10.1007/s42235-021-0050-y Ahmadianfar, 2021, RUN beyond the metaphor: an efficient optimization algorithm based on Runge Kutta method, Expert Syst Appl, 181, 10.1016/j.eswa.2021.115079 Yang, 2021, Hunger games search: visions, conception, implementation, deep analysis, perspectives, and towards performance shifts, Expert Syst Appl, 177, 10.1016/j.eswa.2021.114864 Ahmadianfar, 2022, INFO: an efficient optimization algorithm based on weighted mean of vectors, Expert Syst Appl, 195, 10.1016/j.eswa.2022.116516 Karmakar, 2021, Hybrid intelligence approach for multi-load level reactive power planning using VAR compensator in power transmission network, Prot Control Mod Power Syst, 6, 1, 10.1186/s41601-021-00202-1 Pan, 2021, An efficient surrogate-assisted hybrid optimization algorithm for expensive optimization problems, Inf Sci (Ny), 561, 304, 10.1016/j.ins.2020.11.056 Wang, 2021, Chaos cloud quantum bat hybrid optimization algorithm, Nonlinear Dyn, 103, 1167, 10.1007/s11071-020-06111-6 Wang, 2022, Artificial rabbits optimization: a new bio-inspired meta-heuristic algorithm for solving engineering optimization problems, Eng Appl Artif Intell, 114, 10.1016/j.engappai.2022.105082 Mirjalili, 2016, SCA: a Sine Cosine Algorithm for solving optimization problems, Knowledge-Based Syst, 96, 120, 10.1016/j.knosys.2015.12.022 Lukačević, 2022, Optimal CONOPT solver-based coordination of bi-directional converters and energy storage systems for regulation of active and reactive power injection in modern power networks, Ain Shams Eng J, 13, 10.1016/j.asej.2022.101803 Luburić, 2020, Transmission expansion planning model considering battery energy storage, TCSC and LINEs using AC OpF, IEEE Access, 8, 203429, 10.1109/ACCESS.2020.3036381 Rawa, 2022, Towards Avoiding cascading failures in transmission expansion planning of modern active power systems using hybrid Snake-Sine Cosine optimization algorithm, Mathematics, 10 Mostafa, 2020, Techno-economic assessment of energy storage systems using annualized life cycle cost of storage (LCCOS) and levelized cost of energy (LCOE) metrics, J Energy Storage, 29, 10.1016/j.est.2020.101345 Biswas, 2019, Optimal reactive power dispatch with uncertainties in load demand and renewable energy sources adopting scenario-based approach, Appl Soft Comput J, 75, 616, 10.1016/j.asoc.2018.11.042 Mirjalili, 2017, Salp Swarm Algorithm: a bio-inspired optimizer for engineering design problems, Adv Eng Softw, 114, 163, 10.1016/j.advengsoft.2017.07.002 Hashim, 2022, Snake Optimizer: a novel meta-heuristic optimization algorithm, Knowledge-Based Syst, 242, 10.1016/j.knosys.2022.108320