دورية أكاديمية

Robust optimal scheduling of integrated energy systems considering multiple uncertainties

التفاصيل البيبلوغرافية
العنوان: Robust optimal scheduling of integrated energy systems considering multiple uncertainties
المؤلفون: Keyong Hu, Ben Wang, Yang Feng, Shihua Cao, Lidong Wang, Wenjuan Li
المصدر: Energy Science & Engineering, Vol 11, Iss 10, Pp 3413-3433 (2023)
بيانات النشر: Wiley, 2023.
سنة النشر: 2023
المجموعة: LCC:Technology
LCC:Science
مصطلحات موضوعية: integrated demand response, integrated energy system, optimal scheduling, uncertainty sources, Technology, Science
الوصف: Abstract Multiple uncertainties such as renewable energy output, energy purchase prices and integrated demand responses have brought about severe challenges to the safe and economic operation of integrated energy system (IES). To meet this challenge, this study takes the combined cooling heating and power as an example of IES and proposes an optimization model considering multiple uncertainties. First, the structure of IES is given, and these mathematical models and constraints are listed according to the energy supply characteristics. Second, considering uncertain factors such as the wind and solar output, comprehensive demand response and energy purchase price, the different characterization methods are selected to model the uncertainty sources by identifying the characteristics of multiple uncertainty sources. Then, combining the stochastic scenario method and robust optimization method, a day‐ahead optimal scheduling model of IES with multiple uncertainties is established, and the whale optimization algorithm is improved to obtain the optimal solution of the model. Finally, the actual data of an IES is selected to verify the rationality and effectiveness of the model. Meanwhile, the influence of uncertain factors on scheduling is introduced to verify the perfect coordination of economy and robustness of the model at runtime.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2050-0505
Relation: https://doaj.org/toc/2050-0505
DOI: 10.1002/ese3.1530
URL الوصول: https://doaj.org/article/c5bfb1729ac34f8d802c3f1e2a6c90e1
رقم الأكسشن: edsdoj.5bfb1729ac34f8d802c3f1e2a6c90e1
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:20500505
DOI:10.1002/ese3.1530