Title: Power plant allocation using transportation model and economic dispatch considering emissions
Authors: Wahyuda; Budi Santosa; Ahmad Rusdiansyah
Addresses: Department of Industrial Engineering, Institut Teknologi Sepuluh Nopember, Kampus ITS, Sukolilo, Surabaya, Indonesia; Department of Industrial Engineering, Universitas Mulawarman, Postal code 75123, Jalan Sambaliung No. 9 Samarinda, Indonesia ' Department of Industrial Engineering, Institut Teknologi Sepuluh Nopember, Postal code 60111, Kampus ITS, Sukolilo, Surabaya, Indonesia ' Department of Industrial Engineering, Institut Teknologi Sepuluh Nopember, Postal code 60111, Kampus ITS, Sukolilo, Surabaya, Indonesia
Abstract: This paper proposes a hybrid of transportation and economic dispatch (TED) model to perform a joint optimisation of both production and transmission of the power plant. By this model, we aim to reduce the total cost of power allocation. The model is applied to solve a problem of electricity allocation in East Kalimantan, Indonesia. The main problems of electricity in East Kalimantan are the power outages, high prices, and high emission despite the abundance of gas and coal. The proposed model attempts to reduce these problems altogether. Four scenarios are applied to find the best possible solution. The scenarios are using power generated by: 1) the state electricity company (SEC); 2) the SEC and the independent power producer (IPP); 3) the SEC and a rental power plant (Rent); 4) the SEC and a private company (PC). The experiments show that using power generated by SEC + IPP produces the cheapest fuel cost and minimum outages. While SEC + Rent produces the smallest emissions and outages. There is no scenario that can reduce outages, prices, and emissions simultaneously.
Keywords: power plant allocation; economic dispatch; transportation model; single echelon; electricity.
DOI: 10.1504/WRITR.2019.102358
World Review of Intermodal Transportation Research, 2019 Vol.8 No.3, pp.222 - 244
Received: 05 Mar 2018
Accepted: 02 Oct 2018
Published online: 23 Sep 2019 *