Optimized Operation of Microgrid Based on Gravitational Search Algorithm

被引：0
|
作者：
Li, Peng [1 ]
Xu, Weina [1 ]
Zhou, Zeyuan [1 ]
Li, Rui [1 ]
机构：
[1] North China Elect Power Univ, State Key Lab Alternate Elect Power Syst Renewabl, Baoding 071003, Hebei, Peoples R China
来源：
2013 INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS) | 2013年
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Microgrid plays an important role in the connection of distributed generation (DG) and power grid. Optimized operation of microgrid is an important aspect of in the research and development of microgrid. And an improved gravitational search algorithm (IGSA) is proposed to settle this problem. Gravitational search algorithm (GSA) is a new intelligent optimization algorithm, which has powerful global searching ability, good convergence and strong versatility and is easy to realize compared with other optimization algorithm. But it is easy to fall into local extremum for GSA. In the article, a multi-objective function of the optimized operation of microgrid is established.
引用
收藏
页码：338 / 342
页数：5
相关论文
共 50 条
  • [1] Energy management and optimized operation of renewable sources and electric vehicles based on microgrid using hybrid gravitational search and pattern search algorithm
    Li, Ning
    Su, Zhanguo
    Jerbi, Houssem
    Abbassi, Rabeh
    Latifi, Mohsen
    Furukawa, Noritoshi
    SUSTAINABLE CITIES AND SOCIETY, 2021, 75
  • [2] PROBABILISTIC OPERATION MANAGEMENT FOR A MICROGRID BASED ON POINT ESTIMATE METHOD AND MODIFIED GRAVITATIONAL SEARCH ALGORITHM
    Jabbari, Masoud
    Golestaneh, Faranak
    Niknam, Taher
    UNCERTAINTY MODELING IN KNOWLEDGE ENGINEERING AND DECISION MAKING, 2012, 7 : 875 - 886
  • [3] Dynamic Optimal Operation Scheduling of Microgrid using Binary Gravitational Search Algorithm
    Li, Peng
    Zhou, Zeyuan
    Lin, Xiaopeng
    Yang, Xavier
    Niu, Xingyan
    2014 INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY (POWERCON), 2014, : 3175 - 3180
  • [4] Optimized Operation and Control of Microgrid based on Multi-objective Genetic Algorithm
    Wang, Ruiqi
    Wu, Shaojun
    Wang, Chao
    An, Shuhuai
    Sun, Zhenhai
    Li, Wensheng
    Xu, Wei
    Mu, Shiyou
    Fu, Mengchao
    2018 INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY (POWERCON), 2018, : 1539 - 1544
  • [5] Dynamic Optimal Operation of Microgrid for Reduced Costs Based on Pattern Search Algorithm
    Xiao, Hao
    Pei, Wei
    Qu, Hui
    Kong, Li
    Ouyang, Hong
    Mu, Lianshun
    2013 INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS), 2013, : 257 - 261
  • [6] Fuzzy Optimized Gravitational Search Algorithm for Disease Prediction
    Yadav, Utkarsh
    Tyagi, Twishi
    Nagpal, Sushama
    INTERNATIONAL JOURNAL OF SWARM INTELLIGENCE RESEARCH, 2020, 11 (03) : 89 - 103
  • [7] Radar Cross Section Reduction Based on Gravitational Search Algorithm optimized Metasurface
    Song, Yi-Chuan
    Ding, Jun
    Guo, Chen-Jiang
    Ren, Yu-Hui
    Zhang, Jia-Kai
    9TH INTERNATIONAL CONFERENCE ON MICROWAVE AND MILLIMETER WAVE TECHNOLOGY PROCEEDINGS, VOL. 1, (ICMMT 2016), 2016, : 312 - 314
  • [8] An Optimized Reduction Technique via Firefly Algorithm and Gravitational Search Algorithm
    Norzain, Norul Ashikin
    Sahlan, Shafishuhaza
    MODELING, DESIGN AND SIMULATION OF SYSTEMS, ASIASIM 2017, PT II, 2017, 752 : 746 - 759
  • [9] Microgrid energy management with renewable energy using gravitational search algorithm
    Kumar, T. Praveen
    Ajith, K.
    Srinivas, M.
    Kumar, G. Sunil
    ELECTRICAL ENGINEERING, 2024, : 3761 - 3774
  • [10] Optimized Power Generation using Clustered Gravitational Search Algorithm
    Banumalar, K.
    Manikandan, B., V
    INTERNATIONAL ENERGY JOURNAL, 2020, 20 : 241 - 246
12345