article · Advanced materials research · 2013
Distributed Optimization and Control of Microgrid Considering Environmental Protection and Stability
Hao Yu, Xiao Bo Dou, Zai Jun Wu, Min Hu, Tao Li, Bo Zhao
Cited by 0Abstract and details only
Abstract
In order to reduce pollutant emissions to improve environmental protection, and maintain microgrid stability during real-time operation, a distributed energy optimization scheduling and stability control strategy was proposed. According to the distributed nature of the microgrid, as well as operational objectives of different microsources, an optimal scheduling model for microgrid environmental protection was designed. Based on the proposed model, the tasks of each unit in optimal scheduling and stability control were described. Genetic algorithm (GA) and user datagram protocol (UDP) were used to implement distributed optimization and control of the microgrid. The simulation indicates that, compared with the traditional centralized optimization and control, the proposed distributed optimization and control strategy can clearly show the characteristics of each unit, and have a faster computation speed. Meanwhile, it can timely response once the voltage fluctuates due to power imbalance, so as to keep microgrid stability in real-time operation.
Cite this paper
Yu, H., Dou, X. B., Wu, Z. J., Hu, M., Li, T., & Zhao, B. (2013). Distributed Optimization and Control of Microgrid Considering Environmental Protection and Stability. Advanced materials research, 732-733, 1297–1302. https://doi.org/10.4028/www.scientific.net/amr.732-733.1297
Yu, Hao, et al. “Distributed Optimization and Control of Microgrid Considering Environmental Protection and Stability.” Advanced materials research, vol. 732-733, 2013, pp. 1297–302, https://doi.org/10.4028/www.scientific.net/amr.732-733.1297.
Yu, Hao, Xiao Bo Dou, Zai Jun Wu, Min Hu, Tao Li, and Bo Zhao. 2013. “Distributed Optimization and Control of Microgrid Considering Environmental Protection and Stability.” Advanced materials research 732-733: 1297–302. https://doi.org/10.4028/www.scientific.net/amr.732-733.1297.
Yu, H. et al. (2013) ‘Distributed Optimization and Control of Microgrid Considering Environmental Protection and Stability’, Advanced materials research, 732-733, pp. 1297–1302. Available at: https://doi.org/10.4028/www.scientific.net/amr.732-733.1297.
@article{yu2013distributed,
title = {{Distributed Optimization and Control of Microgrid Considering Environmental Protection and Stability}},
author = {Yu, Hao and Dou, Xiao Bo and Wu, Zai Jun and Hu, Min and Li, Tao and Zhao, Bo},
journal = {Advanced materials research},
volume = {732-733},
pages = {1297--1302},
year = {2013},
doi = {10.4028/www.scientific.net/amr.732-733.1297}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.
Related papers
A Microgrid Operation based on a Power Market Environment
Hak‐Man Kim, Tetsuo Kinoshita · Journal of the Korean Institute of Illuminating and Electrical Installation Engineers · 2009
Cited by 1
Hierarchical Coordination of a Community Microgrid With AC and DC Microgrids
Liang Che, Mohammad Shahidehpour, Ahmed Alabdulwahab et al. · IEEE Transactions on Smart Grid · 2015
Cited by 478
Multi-agent-based microgrid cluster power coordinated autonomous control strategy
Shuang Shi, Yanping Wang, Junguo Zhu et al. · International Conference on Mechanisms and Robotics (ICMAR) · 2022
Cited by 0
An effective way for large scale renewable energy power generation connected to the Grid-Microgrid
Yinbo Sheng · Journal of North China Electric Power University · 2009
Cited by 12
Performance Evaluation of Fuel Cell and Microturbine as Distributed Generators in a Microgrid
Azah Mohamed, Muhammad Nizam, Azuki Abdul Salam · European journal of scientific research · 2009
Cited by 18
Multiple Scenarios Microgrid Equivalent Modeling Based on the Uncertainty of Distributed Generations
Changchun Cai, Tao Yuan, Haolin Liu et al. · IEEE Conference on Energy Internet and Energy System Integration (EI2) · 2018
Cited by 3
Microgrid architectures for low voltage distributed generation
Iván Patrao, Emilio Figueres, G. Garcerá et al. · Renewable and Sustainable Energy Reviews · 2014
Cited by 204Open access
Microgrids and Distributed Energy Future
Jin Zhong, Yuqian Song · Green energy and technology · 2014
Cited by 1