Dynamic Economic Dispatch Mempertimbangkan Demand Response Menggunakan Particle Swarm Optimization

Sihombing, Zico Musiano (2018) Dynamic Economic Dispatch Mempertimbangkan Demand Response Menggunakan Particle Swarm Optimization. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Seiring berkembangnya zaman, permintaan daya listrik pun terus mengalami peningkatan, peningkatan ini dapat terjadi karena jumlah penduduk yang semakin hari semakin bertambah. Biaya bahan bakar juga semakin meningkat yang menyebabkan biaya pembangkitan tenaga listrik juga akan mengalami peningkatan. Oleh karena itu dibutuhkan suatu optimasi pada energi listrik tersebut, mengingat listrik sudah menjadi kebutuhan utama bagi manusia. Optimasi pada pembangkit tenaga listrik merupakan suatu proses untuk mendapatkan kombinasi daya output dari generator, yang dapat menghasilkan biaya pembangkitan yang minimal. Dynamic Economic Dispatch (DED) merupakan salah satu teknik optimasi pada pembangkit tenaga listrik, dimana DED digunakan untuk menentukan kombinasi daya output pada tiap-tiap generator pada setiap periodenya (24 jam). Demand Response Program (DRP) merupakan salah satu faktor yang dapat mempengaruhi biaya pembangkitan tenaga listrik, karena DRP digunakan untuk mengurangi permintaan beban pada suatu periode tertentu. Pada tugas akhir ini, metode DRP yang digunakan adalah Emergency Demand Response / Direct Load Control (EDRP/DLC). EDRP/DLC termasuk ke dalam incentive-based demand response program. Untuk menyelesaikan permasalahan ini, penulis akan menggunakan metode particle swarm optimization (PSO). =================== As the time progressed, the demand for the electric power continues to increase, this increase in electric power, can occur due to the increasing number of the population. Fuel costs also increased which causes the electricity generation costs to increase as well. Therefore, an optimization for electrical energy is required, considering that the electricity has become a major need for humans. Optimization of a power plant is a process to obtain a combination of power output from the generator, to decrease the cost for electricity generation. Dynamic Economic Dispatch (DED) is one of the optimization techniques in power generation, where DED is used to determine the combination of power output from each generator at each period (24 hours). Demand Response Program (DRP) is one factor that can affect the cost of electricity generation, because DRP is used to reduce the demand in a certain period. In this final project, the DRP used is Emergency Demand Response / Direct Load Control (EDRP/DLC). EDRP/DLC is included in the incentive-based demand response program. Particle Swarm Optimization method is used to solve this problem.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: dynamic economic dispatch, demand response, incentive-based demand response program, particle swarm optimization
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK201 Electric Power Transmission
Q Science > Q Science (General) > Q337.3 Swarm intelligence
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1001 Production of electric energy or power
Divisions: Faculty of Electrical Technology > Electrical Engineering > (S1) Undergraduate Theses
Depositing User: Zico Musiano Sihombing
Date Deposited: 22 Oct 2018 04:22
Last Modified: 22 Oct 2018 04:22
URI: http://repository.its.ac.id/id/eprint/52800

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