MERCon - 2019

Permanent URI for this collectionhttp://192.248.9.226/handle/123/14700

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Browsing MERCon - 2019 by Author "Abeygunawardane, SK"

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    item: Conference-Abstract
    Capacity credit evaluation of wind and solar power generation using non sequential Monte Carlo simulation
    Amarasinghe, PAGM; Abeygunawardane, SK
    Renewable power, especially wind and solar integration to the power grid is gaining more attention nowadays. However, the contribution of wind and solar generators to the power system reliability is significantly low due to the diurnal and seasonal variations and intermittency of solar irradiance and wind speed. Capacity credit provides an idea of actual solar PV or wind capacity contribution to the power system reliability. In this paper, the non-sequential Monte Carlo simulation is used to obtain reliability curves to evaluate the capacity credit of solar PV and wind power facilities situated in Sri Lanka (SL). Moreover, SL capacity values are compared with capacity values of wind and solar generation in Brussels, Belgium which has a temperate maritime climate. The impact of power system reliability level and seasonal renewable power variations on capacity credit values are explored using several case studies. Results show that for SL, the wind capacity value significantly varies with seasons whereas the solar PV capacity value remains the same throughout the year.
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    item: Conference-Abstract
    Design and implementation of an automated load scheduling and monitoring system
    Liyanage, BLCB; Tharushika, GHAS; Liyanage, KLSV; Porambage, MD; Abeygunawardane, SK; Wijesiriwardana, R
    An automated load scheduling and monitoring system is implemented by using smart sockets, a central control unit, and a user interface. This system can perform real-time power monitoring and appliance scheduling tasks and can be used with either demand response (DR) or demand-side management (DSM) applications with an ultimate target of reducing energy usage by means of effective controlling of electrical appliances. In the proposed system, the inter integrated circuit (I2C) protocol is used as the communication method between smart sockets and the central control unit. Message queuing telemetry transport (MQTT) protocol is used for the communication between the central unit and the web interface. Utilization of the above protocols plays a major role in enhancing the reliability of the entire system. Further realtime power monitoring of the connected appliances can be performed through an android application. Experimental results reveal that the designed smart sockets are capable of accurately and precisely monitoring the power consumption of connected devices. Maximum communication distance of 17m is achieved with I2C communication without using any bus extender. Modular approach in the software and hardware architecture of the system provides provisions for effective implementation of DR and DSM schedules.