000161794 001__ 161794
000161794 005__ 20251017144631.0
000161794 0247_ $$2doi$$a10.3390/en18112961
000161794 0248_ $$2sideral$$a144448
000161794 037__ $$aART-2025-144448
000161794 041__ $$aeng
000161794 100__ $$aBarrera-Singaña, Carlos
000161794 245__ $$aA Comprehensive Review on the Integration of Renewable Energy Through Advanced Planning and Optimization Techniques
000161794 260__ $$c2025
000161794 5060_ $$aAccess copy available to the general public$$fUnrestricted
000161794 5203_ $$aThe expanding integration of wind and photovoltaic (PV) energy is disrupting the power system planning processes. Their incorporation poses limitations to forecasting due to their inherent variability. This review compiles a total of ninety studies conducted and published between 2019 and 2025, presenting for the first time an integrated approach that simultaneously optimizes the generation, transmission, storage, and flexibility of resources given high ratios of renewable generation. We present a systematic taxonomy of conflicting optimization approaches—deterministic, stochastic, robust, and AI-enhanced optimization—outlining meaningful mathematical formulations, real-world case studies, and the achieved trade balance between optimality, scale, and runtime. Emerging international cooperation clusters are identified through quantitative bibliometric analysis, and method selection in practice is illustrated using a table with concise snapshots of case study excerpts. Other issues analyzed include long-duration storage, centralized versus decentralized roadmap delineation, and regulatory and market drivers of grid expansion. Finally, we identified gaps in the literature—namely, resilience, sector coupling, and policy uncertainty—that warrant further investigation. This review provides critical insights for researchers and planners by systematically integrating methodological perspectives to tackle real-world, application-oriented problems related to generation and transmission expansion models amid significant uncertainty.
000161794 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttps://creativecommons.org/licenses/by/4.0/deed.es
000161794 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000161794 700__ $$0(orcid)0000-0002-4133-7553$$aComech, María Paz$$uUniversidad de Zaragoza
000161794 700__ $$aArcos, Hugo
000161794 7102_ $$15009$$2535$$aUniversidad de Zaragoza$$bDpto. Ingeniería Eléctrica$$cÁrea Ingeniería Eléctrica
000161794 773__ $$g18, 11 (2025), 2961 [23 pp.]$$pENERGIES$$tEnergies$$x1996-1073
000161794 8564_ $$s2502935$$uhttps://zaguan.unizar.es/record/161794/files/texto_completo.pdf$$yVersión publicada
000161794 8564_ $$s2528345$$uhttps://zaguan.unizar.es/record/161794/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000161794 909CO $$ooai:zaguan.unizar.es:161794$$particulos$$pdriver
000161794 951__ $$a2025-10-17-14:26:34
000161794 980__ $$aARTICLE