Abstract
Based on the fuzzy knowledge, this paper presents a cell-like fuzzy P system (CFPS for short). The CFPS is mainly characterized by the introduction of the fuzzy concept and includes the fuzzy catalyst. Afterwards, the definition and the operation process of the CFPS are elaborated. Based on the CFPS, this paper realizes its application in the control of micro-grid. It takes micro-grid system frequency and current work status as inputs. The CFPS gives the decision-making to choice the reasonable working conditions which include the control of the distributed power and the switching of loads in the micro-grid. Firstly, detailed reasoning is presented to prove the rationality and feasibility of the proposed control thoughts. Then, MATLAB simulation verifies the decision made by the CFPS is correct and the application is rationality which is aimed to achieve a stable energy management and control micro-grid system steady. Experimental results show that CFPS can manage micro-grid effectively, and play a role in load shifting by energy management to stabilize the frequency of feeder.
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Acknowledgments
This work was supported by the National Natural Science Foundation of China (Grant No. 61170030, 61472328), Fund of Sichuan Provincial Department of Science and Technology (No. 2013GZ0130) and a grant from the key equipment project of Sichuan Provincial Economic and Information Committee (No. [2014]128).
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Chen, K., Wang, J., Li, M., Ming, J., Peng, H. (2015). Cell-Like Fuzzy P System and Its Application of Coordination Control in Micro-grid. In: Gong, M., Linqiang, P., Tao, S., Tang, K., Zhang, X. (eds) Bio-Inspired Computing -- Theories and Applications. BIC-TA 2015. Communications in Computer and Information Science, vol 562. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49014-3_2
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DOI: https://doi.org/10.1007/978-3-662-49014-3_2
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