### Abstract

The control strategy based on fuzzy logic is proposed for levelling the load power fluctuation and compensating the reactive power by using the superconducting magnetic energy storage (SMES) equipped near to the consumer. Then, its control effects are discussed by simulation. The obtained results are summarized as follows. (1) The conditions with respect to the levelling of the active power in the source line and the energy stored in the SMES are introduced. Then, the production rules on these conditions are constructed. (2) The estimation value LD of levelling the active power in the source line is proposed in addition to the estimation value v of following the sustained component. (3) Provided that the base of the triangle in the menbership function is set to 1.05 for the load power fluctuation investigated, the most preferable result can be obtained when the heights of triange are 0.01 and 0.6 in the rule 1 and the rule 2, respectively. (4) Comparing with the control results by using the estimation function, the estimation value v with the fuzzy control is less than that with the estimation function regardless of the capacity of the SMES. Therefore, it is clarified that the levelling of load power fluctuation can be achieved by the fuzzy control better than by the estimation function.

Original language | English |
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Pages (from-to) | 880-886 |

Number of pages | 7 |

Journal | IEEJ Transactions on Industry Applications |

Volume | 111 |

Issue number | 10 |

DOIs | |

Publication status | Published - 1991 |

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### ASJC Scopus subject areas

- Industrial and Manufacturing Engineering
- Electrical and Electronic Engineering

### Cite this

**A Control Strategy Based on Fuzzy Logic for Levelling Load Power Fluctuation by Using Superconducting Magnetic Energy Storage.** / Funabiki, Shigeyuki; Fujii, Toshinori.

Research output: Contribution to journal › Article

*IEEJ Transactions on Industry Applications*, vol. 111, no. 10, pp. 880-886. https://doi.org/10.1541/ieejias.111.880

}

TY - JOUR

T1 - A Control Strategy Based on Fuzzy Logic for Levelling Load Power Fluctuation by Using Superconducting Magnetic Energy Storage

AU - Funabiki, Shigeyuki

AU - Fujii, Toshinori

PY - 1991

Y1 - 1991

N2 - The control strategy based on fuzzy logic is proposed for levelling the load power fluctuation and compensating the reactive power by using the superconducting magnetic energy storage (SMES) equipped near to the consumer. Then, its control effects are discussed by simulation. The obtained results are summarized as follows. (1) The conditions with respect to the levelling of the active power in the source line and the energy stored in the SMES are introduced. Then, the production rules on these conditions are constructed. (2) The estimation value LD of levelling the active power in the source line is proposed in addition to the estimation value v of following the sustained component. (3) Provided that the base of the triangle in the menbership function is set to 1.05 for the load power fluctuation investigated, the most preferable result can be obtained when the heights of triange are 0.01 and 0.6 in the rule 1 and the rule 2, respectively. (4) Comparing with the control results by using the estimation function, the estimation value v with the fuzzy control is less than that with the estimation function regardless of the capacity of the SMES. Therefore, it is clarified that the levelling of load power fluctuation can be achieved by the fuzzy control better than by the estimation function.

AB - The control strategy based on fuzzy logic is proposed for levelling the load power fluctuation and compensating the reactive power by using the superconducting magnetic energy storage (SMES) equipped near to the consumer. Then, its control effects are discussed by simulation. The obtained results are summarized as follows. (1) The conditions with respect to the levelling of the active power in the source line and the energy stored in the SMES are introduced. Then, the production rules on these conditions are constructed. (2) The estimation value LD of levelling the active power in the source line is proposed in addition to the estimation value v of following the sustained component. (3) Provided that the base of the triangle in the menbership function is set to 1.05 for the load power fluctuation investigated, the most preferable result can be obtained when the heights of triange are 0.01 and 0.6 in the rule 1 and the rule 2, respectively. (4) Comparing with the control results by using the estimation function, the estimation value v with the fuzzy control is less than that with the estimation function regardless of the capacity of the SMES. Therefore, it is clarified that the levelling of load power fluctuation can be achieved by the fuzzy control better than by the estimation function.

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UR - http://www.scopus.com/inward/citedby.url?scp=85007711855&partnerID=8YFLogxK

U2 - 10.1541/ieejias.111.880

DO - 10.1541/ieejias.111.880

M3 - Article

AN - SCOPUS:85007711855

VL - 111

SP - 880

EP - 886

JO - IEEJ Transactions on Industry Applications

JF - IEEJ Transactions on Industry Applications

SN - 0913-6339

IS - 10

ER -