Soft computing based power system stabilizers

Indrani, T.; Sai, T. K.; Subrahmanyam, N.B.V.

doi:10.1109/sceecs.2016.7509280

Cited by 2 publications

(1 citation statement)

References 6 publications

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“…Finally, as an output, the inference process generates a fuzzy set; nevertheless, the fuzzy logic controller's output has a crisp significance. As a result, the fuzzified converts the fuzzy set into a numerical number (3). Defuzzification is the term used to describe this process.…”

Section: Introductionmentioning

confidence: 99%

An Empirical Study of Waste Heat Reutilization in Thermal Power Plant Using Advanced Fuzzy – PID Technology

Mishra¹,

Venkatesan²,

Kanta³

2022

ECS Trans.

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Many industrial heating operations create waste energy, particularly boiler exhaust gas, aiming to minimize global warming. The waste heat from the exhaust gas can be utilized to warm the entering gas. This is one of the most basic waste heat recovery technologies. As a result, the object of this study is how to recover heat waste from boiler exhaust gas using a shell and tube heat exchanger and improve the boiler's efficiency. The goal of this article is to improve the performance of control circuits used in heat exchangers to get the optimum solution; the fuzzy ID controller will replace the PID with the fuzzy controller. This article examines traditional intelligent controllers with the goal of controlling the yield fluid temperature of a shell. Experimental plant data is used to do mathematical modeling of the process to satisfy the control target. A traditional PID control may be utilized to regulate output fluid. By fine tuning the practical problem, you may get improved settling time, rising time, and overshoot. A power station is a multivariable controlled facility, independent of cutting-edge technology and techniques for unit performance, operation, flexibility, and availability; economic optimization and software that position state-of-the-art approaches are among the demands imposed on control & instrumentation engineers. As a result, fuzzy methods are being investigated to achieve resilience, tractability, and cheap cost by using tolerance for imprecision, ambiguity, and partial truth.

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Section: Introductionmentioning

confidence: 99%

An Empirical Study of Waste Heat Reutilization in Thermal Power Plant Using Advanced Fuzzy – PID Technology

Mishra¹,

Venkatesan²,

Kanta³

2022

ECS Trans.

View full text Add to dashboard Cite

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Realization of 5-bus system using soft computing technique for flexible alternating current transmission system (FACTS) devices

Ashokrao¹,

Machhindra²,

Padmanaban

et al. 2017

2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Syst

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Total transfer capability analysis of power system is currently a critical issue in both planning & operating of systems. These issues mainly occur due to increase in area and interchanges among utilities. To reduce the flows in heavily loaded lines, Flexible Alternating Current Transmission System (FACTS) devices is used, this results in increased transfer capability, improve stability of the network, low system losses, and fulfill contractual required by controlling the power flows in the network. To achieve parameters FACTS devices are placed optimally and is done with the help of reduction of total system reactive power loss sensitivity indices analysis method and real power flow performance index sensitivity indices analysis method. Thyristor-Control-Series-Capacitor (TCSC) is used as a FACTS device in the proposed sensitivity analysis method. To decide priority of line for placing TCSC, soft computing technique "Fuzzy logic method" is employed. The performance evaluation of proposed sensitivity analysis methods is done using electrical IEEE-5 bus system. The sensitivity indices are programmed using Matrix Laboratory

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Soft computing based power system stabilizers

Cited by 2 publications

References 6 publications

An Empirical Study of Waste Heat Reutilization in Thermal Power Plant Using Advanced Fuzzy – PID Technology

An Empirical Study of Waste Heat Reutilization in Thermal Power Plant Using Advanced Fuzzy – PID Technology

Realization of 5-bus system using soft computing technique for flexible alternating current transmission system (FACTS) devices

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