Grid elektrik di seluruh dunia kini menyesuaikan diri dengan operasi mesra alam dengan pelbagai sumber yang boleh diperbaharui diperkenalkan. Angin, sebagai salah satu daripada keadaan meteorologi, juga mempunyai impak yang tinggi terhadap penarafan garis dan cara pengendalian garis tersebut dikenali sebagai sistem penarafan haba dinamik (DTR). Pengurusan sisi permintaan (DSM) dan Sistem Penilaian Thermal Dynamic (DTR) memainkan peranan penting dalam mengurangkan beberapa cabaran yang dihadapi oleh perkhidmatan kuasa elektrik. Melihat hubungan ini, sangat penting untuk menyiasat kebolehpercayaan rangkaian elektrik yang menggabungkan DTR, DSM dan ladang angin. Oleh itu, matlamatnya adalah untuk mencadangkan satu metodologi yang boleh melaksanakan tugas ini. Dalam metodologi, simulasi Monte Carlo (SMC) yang berurutan telah dilakukan kerana kebergantungan masa penarafan talian dan kuasa angin. Akibatnya, pemodelan ini data siri masa dilakukan menggunakan model auto-regressive dan moving-average (ARMA). Selain itu, korelasi antara penarafan garis dan kuasa angin juga dianggap menyediakan pendekatan praktikal untuk pemodelan. Hasilnya menunjukkan bahawa sistem DTR mampu meningkatkan kebolehpercayaan rangkaian dan membolehkan penembusan tenaga angin yang lebih tinggi.
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Electrical grid across the world are now adapting towards environmentally friendly operation with various renewable sources being introduced. Among them, the reputation of electrical generation by wind has benefited the most ground. Wind, as one of the meteorological conditions, also has high impact on line ratings and such manner of operating the line is known as dynamic thermal rating (DTR) system. Demand side management (DSM) and Dynamic Thermal Rating systems (DTR) play a vital role in mitigating some of the challenges faced by electric power services. Seeing this contact, it is intuitively important to investigate the reliability of an electrical network incorporating DTR, DSM and wind farm. Hence, the objective is to propose a methodology that can perform this task. In the methodology, sequential Monte Carlo (SMC) simulation was performed due to time dependencies of line ratings and wind power. As a result, modeling of these time-series data was performed using the auto-regressive and moving-average (ARMA) model. Moreover, correlations between line rating and wind power were also considered to provide a practical approach to the modeling. Results have demonstrated that DTR system can expand arrange reliability and takes into consideration higher breeze vitality entrance.
The impact of demand response towards the reliability of composite power system / Amir Iskandar Abdul Jamil