Modeling the Price of Emergency Power Transmission Lines in the Reserve Market Due to the Influence of Renewable Energies

Frontiers in Energy Research

Jafar Tavoosi¹  Hamid Iranmehr¹  Rahmat Aazami¹  Mohammadamin Shirkhani¹  Amir-Reza Azizi¹  Ardashir Mohammadzadeh²  Amir H. Mosavi³  Wei Guo⁴ 

[1]Department of Electrical Engineering, Ilam University, Ilam, Iran

[2]Department of Electrical Engineering, University of Bonab, Bonab, Iran

[3]Faculty of Civil Engineering, Technische Universität Dresden, Dresden, Germany

[4]Institute of Information Society, University of Public Service, Budapest, Hungary

[5]John von Neumann Faculty of Informatics, Obuda University, Budapest, Hungary

[6]School of Credit Management, Guangdong University of Finance, Guangzhou, China

关键词: renewable energy;    emergency capacity;    reserve market;    transmission lines;    distribution network;    machine learning;   

DOI  :  10.3389/fenrg.2021.792418

来源: Frontiers

【 摘 要 】

The law of free access to the transmission network obliges the transmission network to be in orbit, and on the other hand, the high loads in the transmission network, and economic uncertainties cause that the owners of transmission companies, don’t have sufficient motivation and resources to rebuild and develop the network. The main objective of this paper is the modeling the price of emergency power transmission lines in the reserve markets. This paper presents a method for calculating the reference price that a transmission line owner uses to bid on a price in excess of the nominal capacity of the transmission line under his ownership. For this purpose, first, the effects of operating a transmission line at a power greater than the rated power are described. After that, the reduction rate of the transmission line due to operation in these conditions is calculated, and finally the price determination is calculated based on the reduction rate of the generated life. In the next stage, this excess capacity is entered the two-stage model of energy market and reservation considering renewable energy sources as a price offer function. Numerical results of 6-Shin network show that the entry of renewable energy sources reduces energy costs, but the costs of the reserve market increases due to uncertainty. However, despite the emergency capacity, these costs are reduced due to the use of cheap resources in the network.

【 授权许可】

CC BY