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Multi-Criteria Storage Selection Model for Grid-Connected Photovoltaics Systems

نموذج اختيار التخزين متعدد المعايير لأنظمة الخلايا الكهروضوئية المتصلة بالشبكة
Authors: Marriam Liaqat; Muhammad Gufran Khan; Muhammad Rayyan Fazal; Yazeed Ghadi; Muhammad Adnan 0005;

Multi-Criteria Storage Selection Model for Grid-Connected Photovoltaics Systems

Abstract

Los sistemas fotovoltaicos conectados a la red (GCPV) son una alternativa sostenible a los sistemas eléctricos convencionales no renovables. Sin embargo, los sistemas GCPV crean muchos problemas, como la sobrecarga de la red, las variaciones de la demanda y el suministro, y los problemas de calidad de la energía. Una forma clave de abordar estos problemas es la integración de las tecnologías efectivas de almacenamiento de energía en los sistemas GCPV. Hay muchas tecnologías de almacenamiento que se pueden conectar con los sistemas GCPV. La integración de una tecnología de almacenamiento adecuada en los sistemas GCPV puede proporcionar una mejor alternativa. Este documento evalúa las diferentes tecnologías de almacenamiento para los sistemas GCPV utilizando el enfoque del proceso de jerarquía analítica (AHP). El objetivo del modelo AHP fue la selección de la mejor alternativa de almacenamiento para los sistemas GCPV en función de los múltiples criterios. Los criterios incluyeron los parámetros de almacenamiento, así como los parámetros relacionados con la compatibilidad con los sistemas GCPV. Los resultados mostraron que el almacenamiento hidráulico bombeado es la mejor alternativa si todos los parámetros de almacenamiento y compatibilidad son igualmente deseables. Sin embargo, si el modelo AHP da la mayor preferencia a los criterios "simplicidad de integración con respecto a la energía renovable" y "limitaciones geográficas", las otras tecnologías de almacenamiento logran las clasificaciones más altas. Por lo tanto, el modelo AHP proporciona una mayor flexibilidad para evaluar las diferentes tecnologías de almacenamiento para sistemas GCPV en diferentes circunstancias.

Les systèmes photovoltaïques connectés au réseau (GCPV) sont une alternative durable aux systèmes électriques conventionnels non renouvelables. Cependant, les systèmes GCPV créent de nombreux problèmes tels que la surcharge du réseau, les variations de la demande et de l'offre et les problèmes de qualité de l'énergie. Un moyen clé de résoudre ces problèmes est l'intégration des technologies de stockage d'énergie efficaces dans les systèmes GCPV. Il existe de nombreuses technologies de stockage qui peuvent être connectées aux systèmes GCPV. L'intégration d'une technologie de stockage appropriée dans les systèmes GCPV peut constituer la meilleure alternative. Cet article évalue les différentes technologies de stockage pour les systèmes GCPV en utilisant l'approche du processus de hiérarchie analytique (AHP). L'objectif du modèle AHP était de sélectionner la meilleure alternative de stockage pour les systèmes GCPV en fonction des multiples critères. Les critères comprenaient les paramètres de stockage ainsi que les paramètres liés à la compatibilité avec les systèmes GCPV. Les résultats ont montré que le stockage hydroélectrique pompé est la meilleure alternative si tous les paramètres de stockage et de compatibilité sont également souhaitables. Cependant, si le modèle AHP donne la plus haute préférence aux critères « simplicité d'intégration en matière d'énergie renouvelable » et « limitations géographiques », les plusieurs autres technologies de stockage obtiennent les classements les plus élevés. Par conséquent, le modèle AHP offre une plus grande flexibilité pour évaluer les différentes technologies de stockage pour les systèmes GCPV dans différentes circonstances.

The grid-connected photovoltaics (GCPV) systems are a sustainable alternative to the conventional non-renewable electricity systems. However, GCPV systems create the many issues such as grid overloading, demand and supply variations, and power quality issues. A key way to address such issues is the integration of the effective energy storage technologies in GCPV systems. There are many storage technologies which can be connected with GCPV systems. The integration of a proper storage technology into the GCPV systems may provide a best alternative. This paper evaluates the different storage technologies for GCPV systems using the analytic hierarchy process (AHP) approach. The goal of the AHP model was the selection of the best storage alternative for GCPV systems based on the multiple criteria. The criteria included the storage parameters as well as the parameters related to the compatibility with GCPV systems. The results exhibited that the pumped hydro storage is the best alternative if all the storage and compatibility parameters are equally desirable. However, if AHP model gives the highest preference to the criteria "integration simplicity regarding renewable energy" and "geographic limitations", the several other storage technologies achieve the higher rankings. Hence, the AHP model provides a greater flexibility to evaluate the different storage technologies for GCPV systems under different circumstances.

تعد أنظمة الخلايا الكهروضوئية المتصلة بالشبكة (GCPV) بديلاً مستدامًا لأنظمة الكهرباء التقليدية غير المتجددة. ومع ذلك، فإن أنظمة GCPV تخلق العديد من المشكلات مثل التحميل الزائد للشبكة، وتغيرات الطلب والعرض، ومشكلات جودة الطاقة. تتمثل إحدى الطرق الرئيسية لمعالجة مثل هذه المشكلات في دمج تقنيات تخزين الطاقة الفعالة في أنظمة GCPV. هناك العديد من تقنيات التخزين التي يمكن توصيلها بأنظمة GCPV. قد يوفر دمج تقنية التخزين المناسبة في أنظمة GCPV أفضل بديل. تقيّم هذه الورقة تقنيات التخزين المختلفة لأنظمة GCPV باستخدام نهج عملية التسلسل الهرمي التحليلي (AHP). كان الهدف من نموذج AHP هو اختيار أفضل بديل تخزين لأنظمة GCPV بناءً على معايير متعددة. تضمنت المعايير معلمات التخزين بالإضافة إلى المعلمات المتعلقة بالتوافق مع أنظمة GCPV. أظهرت النتائج أن التخزين المائي المضخوخ هو أفضل بديل إذا كانت جميع معلمات التخزين والتوافق مرغوبة على قدم المساواة. ومع ذلك، إذا كان نموذج AHP يعطي أعلى تفضيل لمعايير "بساطة التكامل فيما يتعلق بالطاقة المتجددة" و "القيود الجغرافية"، فإن العديد من تقنيات التخزين الأخرى تحقق التصنيفات الأعلى. وبالتالي، يوفر نموذج AHP مرونة أكبر لتقييم تقنيات التخزين المختلفة لأنظمة GCPV في ظل ظروف مختلفة.

Keywords

Renewable energy, Energy storage, Flexibility (engineering), Energy Engineering and Power Technology, Geometry, Operations research, Energy Storage Systems, Quantum mechanics, Electric power system, Reliability engineering, Systems engineering, Engineering, Artificial Intelligence, FOS: Mathematics, power system reliability, Risk analysis (engineering), Machine Learning Methods for Solar Radiation Forecasting, environmental sustainability, Grid, Analytic hierarchy process (AHP), Photovoltaic system, electrical power grid, Computer data storage, Energy, Analytic hierarchy process, Physics, Statistics, Energy Storage, Power (physics), Hydrogen Energy Systems and Technologies, Computer science, TK1-9971, Photovoltaics, Operating system, power system planning, Control and Systems Engineering, Electrical engineering, Physical Sciences, Computer Science, Medicine, power flow balancing, Control and Synchronization in Microgrid Systems, Electrical engineering. Electronics. Nuclear engineering, Mathematics

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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
18
Top 10%
Average
Top 10%
gold