Direct load control using a programmable logic controller

El-Amin, Ibrahim; Al-Ali, A. R.; Suhail, M.A

doi:10.1016/s0378-7796(99)00029-2

Cited by 6 publications

(3 citation statements)

References 8 publications

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“…As shown in Fig. 3, the core of master control module is STM32F103RBT6.The chip integrated FLASH, RAM, TIMER ,UART and so on, which has a wide range of applications from low-end controller to complex SOC devices [5,6].…”

Section: Hardware Design Of the Controllermentioning

confidence: 99%

Design of the Miniature Programmable Logic Controller Based on STM32

Liu

Zhang

et al. 2014

AMM

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In order to reduce production cost and simplify programming, the miniature programmable logic controller is designed, which realized restructure of the master control module based on STM32, and completed the control for external actuators through digital input and output module. Upper PC machine is used to monitor the running status of the controller with exchanging data through serial communication module.

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Section: Hardware Design Of the Controllermentioning

confidence: 99%

Design of the Miniature Programmable Logic Controller Based on STM32

Liu

Zhang

et al. 2014

AMM

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“…In Ref. [9] a direct-load controller based on programmable logic is described, while in Ref. [10] the authors make use of a fuzzy logic controller.…”

Section: Introductionmentioning

confidence: 99%

Neural network controller for Active Demand-Side Management with PV energy in the residential sector

et al. 2012

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In this paper, we describe the development of a control system for Demand-Side Management in the residential sector with Distributed Generation. The electrical system under study incorporates local PV energy generation, an electricity storage system, connection to the grid and a home automation system. The distributed control system is composed of two modules: a scheduler and a coordinator, both implemented with neural networks. The control system enhances the local energy performance, scheduling the tasks demanded by the user and maximizing the use of local generation.

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“…Other strategies like load on/off switching by means of automatic controls have also been applied to maintain a minimum cost profile in the use of energy [5]. New methodologies like fuzzy logic and genetic algorithms have been used for profitability analysis and alternative load management measures selection from a multi-objective decision making perspective [6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%