دورية أكاديمية
An Energy storage capacity allocation method for power system based on improved particle swarm optimization
العنوان: | An Energy storage capacity allocation method for power system based on improved particle swarm optimization |
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المؤلفون: | ZHAO Fei, XUE Longjiang, ZHUJingliang, CHEN Ding, FANG Jinghui, WU Jun, ZHU Yueren |
المصدر: | Zhejiang dianli, Vol 41, Iss 11, Pp 17-22 (2022) |
بيانات النشر: | zhejiang electric power, 2022. |
سنة النشر: | 2022 |
المجموعة: | LCC:Electrical engineering. Electronics. Nuclear engineering |
مصطلحات موضوعية: | improved particle swarm optimization, energy storage system, capacity configuration, time of use tariffs, Electrical engineering. Electronics. Nuclear engineering, TK1-9971 |
الوصف: | Due to the limitations of configuration scenarios, energy storage capacity configuration takes long time and the net profit value of energy storage capacity is small. Research on energy storage capacity configuration method for power system based on an improved particle swarm optimization (PSO) is proposed. First, the power system energy storage capacity is determined, and the storage capacity configuration constraints are analyzed in respect of the remaining power, charging and discharging efficiency, and reliability of the energy storage system; then, with the objective of maximum net revenue of storage capacity configuration, an economy model of the power system is constructed, and the improved particle swarm algorithm is introduced to solve the model and complete the configuration of the power system energy storage capacity. The experimental results show that the proposed method takes shorter configuration time while owning higher net energy storage capacity revenue, which verifies the application performance of the method. |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | Chinese |
تدمد: | 1007-1881 |
Relation: | https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=b084256c-83f1-4012-993a-a5aab8801e65; https://doaj.org/toc/1007-1881 |
DOI: | 10.19585/j.zjdl.202211003 |
URL الوصول: | https://doaj.org/article/e09cd87b98e24a5aa654506421a0e2a3 |
رقم الأكسشن: | edsdoj.09cd87b98e24a5aa654506421a0e2a3 |
قاعدة البيانات: | Directory of Open Access Journals |
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