Composite generation and transmission expansion planning toward high renewable energy penetration in Iran power grid. Issue 9 (12th June 2020)

• Record Type: Journal Article
• Authors: Asadi Majd, Aida; Farjah, Ebrahim; Rastegar, Mohammad
• Is Part Of: IET renewable power generation. Volume 14:Issue 9(2020)
• Page Start: 1520
• Page End: 1528
• Publication Date: 2020-06-12
• Subjects: power generation planning -- integer programming -- linear programming -- power transmission economics -- load flow -- power markets -- power generation reliability -- investment -- power generation economics -- power grids -- renewable energy sources -- power transmission planning -- power transmission reliability -- air pollution -- carbon compounds -- solar power stations; renewable energy penetration -- Iran power grid -- transmission investment -- operation costs -- power flow limits -- solar generations -- power generation -- composite generation and transmission expansion planning -- CGTEP method -- probabilistic reliability constrains -- mixed‐integer linear format -- start‐up‐shut‐down costs -- water resources -- green energy -- CO2; Renewable energy sources -- Periodicals; 333.79405
• DOI: 10.1049/iet-rpg.2019.0673
• Languages: English
• ISSNs: 1752-1416

Abstract

Abstract : This study proposes a composite generation and transmission expansion planning (CGTEP) with high renewable penetration in Iran power grid. The goal is to minimise the generation and transmission investment and operation costs, start‐up/shut‐down costs, and the cost of energy not served during a 10‐year planning horizon. The problem is formulated in a mixed‐integer linear format, considering power flow limits, ramping rate limits, minimum up/down times of the generation units, uncertainty of wind and solar generations, and deterministic and probabilistic reliability constrains including reserve margins for generation capacities and expected energy not supplied boundary. In addition, according to the specific geographic characteristics of Iran, import and export of the electricity, as well as the limitation of water resources for power generation, is modelled in the CGTEP problem. The proposed CGTEP method is implemented in business as usual and renewable target cases without considering the uncertainty, and RT case with uncertainty considerations. In RT cases, 30% renewable penetration is targeted to reduce the CO2 emission by 10%. In addition, the capability of Iran power grid in providing green energy for the neighbouring countries is investigated in this study.