Smart Grid Dispatching Optimization for System Resilience Improvement
المؤلفون المشاركون
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-11-06
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
A large number of modern communication technologies and sensing technologies are incorporated into the smart grid, which makes its structure unique.
The centralized optimized dispatch method of traditional power grids is difficult to achieve effective dispatch of smart grids.
Based on the analysis of power generation plan and maintenance plan optimization model, this paper establishes a smart grid power generation and maintenance collaborative optimization model with distributed renewable energy.
The objective function of this collaborative optimization problem is the operating cost of conventional units, the cost of wind power generation, and the cost of overhauling units; the constraints considered mainly include system constraints and overhaul constraints.
The solution method of combinatorial optimization is analyzed, and the genetic optimization algorithm adopted in this paper is selected and discussed.
According to the characteristics of the system, various loads are modeled, and power supply constraints are considered.
By establishing an effective objective function, the adjustable load scheduling problem is transformed into a solvable optimal control problem.
Taking into account the uncertain factors in the system, the advantage of the real-time control system is that it can realize the dynamic update scheduling of the load, so it is more in line with the requirements of the actual system.
The real-time algorithm proposed in the paper is based on a distributed control strategy, which can not only realize dynamic compensation for random fluctuations in renewable energy power generation but also satisfy the load curve optimization under the premise of making full use of power supply resources.
In addition, simulation experiments compare the load dispatching capabilities of the proposed algorithm with the existing algorithms, thereby verifying the performance of the proposed method.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Liao, Li& Ji, Chengjun. 2020. Smart Grid Dispatching Optimization for System Resilience Improvement. Complexity،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1145141
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Liao, Li& Ji, Chengjun. Smart Grid Dispatching Optimization for System Resilience Improvement. Complexity No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1145141
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Liao, Li& Ji, Chengjun. Smart Grid Dispatching Optimization for System Resilience Improvement. Complexity. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1145141
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1145141
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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