Abstract
In order to reduce the operating cost of power frequency control, a control strategy based on energy storage optimization is presented. The aim of the control strategy is maximizes the use of power provided by new energy power supply and reduces the electric energy from real-time power grid; the operation cost is effectively reduced without influences on the power life by reasonable charge and discharge strategy of energy storage, by the improved niche genetic algorithm based on fuzzy clustering, a hour level of scheduling plan is given by this case. Based on the uncertainty on the energy demand and supply, the optimal value of the direct purchase of the frequency control is determined. The computation results show that under the same condition of system framework, load and operating environment, through reasonable and effective operation of the frequency control strategy, effectively reduce the operating costs of the system, has a high practical value.
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References
A. Qureshi, R. Weber, H. Balakrishnan, J. Guttag, and B. Maggs. “Cutting the electricity bill for Internet-scale systems.” ACM SIGCOMM Computer Communica-tion Review, Vol. 39, No.4,2009,pp.123-134.
YUE Yu . Green Technology of Data Center and Its Development [J]. ZTE Technology Journal, 2015, 21(5): 45-49.
N. Buchbinder, N. Jain, and I. Menache. “Online job-migration for reducing the electricity bill in the cloud.” In NETWORKING, Springer, 2011, pp. 172–185.
L. Rao, Lei, X. Liu, M. D. Ilic, and Jie Liu, “Distributed coordination of internet data centers under multiregional electricity markets.” Proceedings of the IEEE, Vol. 100, No. 1,2012 pp. 269–282.
Leou Rong-Ceng. An economic analysis model for the energy storage systems in a deregulated market[C]//IEEE International Conference on Sustainable Energy Technologies. Singapore, 2008:744-749,
M. He, S. Murugesan, and J. Zhang, “Multiple timescale dispatch and scheduling for stochastic reliability in smart grids with wind generation integration,” In INFOCOM, 2011 Proceedings IEEE, 2011, pp. 461–465.
A. Qureshi, “Power-demand routing in massive geo-distributed systems,” PhD diss., Massachusetts Institute of Technology,2010.
J. A. P. Lopes, F. J. Soares, P. M. Almeida, and M. Moreira da Silva, “Smart charging strategies for electric vehicles: Enhancing grid performance and maximizing the use of variable renewable energy resources,” In EVS24 Intenational Battery, Hybrid and Fuell Cell Electric Vehicle Symposium, Stavanger, Norveška. 2009.
ZHENG Yuan-yuan. Load Calculation and Analysis of the Data Center for Power Distribution System [J]. Telecom Power Technologies, 2015, 32(6): 135-138.
Saeid Soudi,”Distribution System Planning With Distributed Generations Considering Benefits and Costs”, International Journal of Modern Education and Computer Science(IJMECS), vol.5, no.9, pp.45-52, 2013.DOI: 10.5815/ijmecs.2013.09.07
Nashaat el-Khameesy, Hossam Abdel Rahman Mohamed,”A Proposed Model for Datacenter in -Depth Defense to Enhance Continual Security(Applied Study to ENR Datacenter – Egyptian National Railways)”, International Journal of Information Technology and Computer Science(IJITCS), vol.5, no.4, pp.55-67, 2013.DOI: 10.5815/ijitcs.2013.04.07
Rafiqul Z. Khan, Md F. Ali,”An Efficient Diffusion Load Balancing Algorithm in Distributed System”, International Journal of Information Technology and Computer Science(IJITCS), vol.6, no.8, pp.65-71, 2014. DOI: 10.5815/ijitcs.2014.08.09
Danial Rahdari, Amir Masoud Rahmani, Niusha Aboutaleby, Ali Sheidaei Karambasti,”A Distributed Fault Tolerance Global Coordinator Election Algorithm in Unreliable High Traffic Distributed Systems”, International Journal of Information Technology and Computer Science(IJITCS), vol.7, no.3, pp.1-11, 2015. DOI: 10.5815/ijitcs.2015.03.01
QIU Yikan. Electrical Power Supply and Distribution System Design of Data Center [J]. Moder Architecture Electric, 2015, 6(10): 6-10.
SHUAI Zhikang,. Review on Transient Stability of Microgrid [J]. Automation of Electric Power Systems,2015,(16): 151-159.
LIU Fang,LI Bing,ZHANG Fan. Battery energy storage systemoptimal allocation considering economy and reliability of distribution network[J]. Electric Power Construction, 2015, 36 (12) : 76-83.
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Chen, D. et al. (2018). Control Strategy of Energy Storage for Frequency Coordination Dispatch Based on Improved Niche Genetic Algorithm. In: Hu, Z., Petoukhov, S., He, M. (eds) Advances in Artificial Systems for Medicine and Education. AIMEE 2017. Advances in Intelligent Systems and Computing, vol 658. Springer, Cham. https://doi.org/10.1007/978-3-319-67349-3_7
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DOI: https://doi.org/10.1007/978-3-319-67349-3_7
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