![](/images/graphics-bg.png)
Optimal Operation of the Hybrid Electricity Generation System Using Multiverse Optimization Algorithm
المؤلفون المشاركون
Ahmad, Sohail
Khan, Rahim
Iqbal, Javed
Sulaiman, Muhammad
Khan, Asfandyar
المصدر
Computational Intelligence and Neuroscience
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-03-11
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
The ongoing load-shedding and energy crises due to mismanagement of energy produced by different sources in Pakistan and increasing dependency on those sources which produce energy using expensive fuels have contributed to rise in load shedding and price of energy per kilo watt hour.
In this paper, we have presented the linear programming model of 95 energy production systems in Pakistan.
An improved multiverse optimizer is implemented to generate a dataset of 100000 different solutions, which are suggesting to fulfill the overall demand of energy in the country ranging from 9587 MW to 27208 MW.
We found that, if some of the power-generating systems are down due to some technical problems, still we can get our demand by following another solution from the dataset, which is partially utilizing the particular faulty power system.
According to different case studies, taken in the present study, based on the reports about the electricity short falls been published in news from time to time, we have presented our solutions, respectively, for each case.
It is interesting to note that it is easy to reduce the load shedding in the country, by following the solutions presented in our dataset.
Graphical analysis is presented to further elaborate our findings.
By comparing our results with state-of-the-art algorithms, it is interesting to note that an improved multiverse optimizer is better in getting solutions with lower power generation costs.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Sulaiman, Muhammad& Ahmad, Sohail& Iqbal, Javed& Khan, Asfandyar& Khan, Rahim. 2019. Optimal Operation of the Hybrid Electricity Generation System Using Multiverse Optimization Algorithm. Computational Intelligence and Neuroscience،Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1129529
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Sulaiman, Muhammad…[et al.]. Optimal Operation of the Hybrid Electricity Generation System Using Multiverse Optimization Algorithm. Computational Intelligence and Neuroscience No. 2019 (2019), pp.1-12.
https://search.emarefa.net/detail/BIM-1129529
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Sulaiman, Muhammad& Ahmad, Sohail& Iqbal, Javed& Khan, Asfandyar& Khan, Rahim. Optimal Operation of the Hybrid Electricity Generation System Using Multiverse Optimization Algorithm. Computational Intelligence and Neuroscience. 2019. Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1129529
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1129529
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
![](/images/ebook-kashef.png)
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
![](/images/kashef-image.png)