Maximizing Capacity Credit in Generation Expansion Planning for Wind Power Generation and Compressed Air Energy Storage System

Maximizing Capacity Credit in Generation Expansion Planning for Wind Power Generation and Compressed Air Energy Storage System

Wind power

Natural resources

Renewable energy sources

Compressed air energy storage

distribution network

Planning

Resource management

Digital storage

Electric power generation

Electric power transmission networks

Pressure vessels

Compressed air

Europe

Atmospheric modeling

Power system reliability

Wind power generation

Electric load flow

load flow analysis

Capacity credit

compressed air energy storage systems

optimal allocation

wind power generation

The need to supply the ever-increasing load demand in combination with the requirement of environmental preservation has introduced variable renewable generation in the generation mix of the modern power grid. Nevertheless, due to the transience and dependency of these renewable energy sources on unpredictable environmental factors the dynamics and priorities of generation expansion planning requires meticulous modifications and enhancements. This paper aims to develop and propose an optimal strategy for generation expansion model considering wind turbine (WTG) generation system. The problem is formulated on the concept of multi-area power system standards and the derivation of an optimal location of the WTG with compressed air energy storage system (CAESS) in the energy mix of the power network. Ensuring that a maximum capacity credit is achieved with WTG incorporation. The objective function in this study, is based on the effective load carrying capability (ELCC) that is utilized to quantify the efficacy of the capacity credit methodology. The ELCC parametric index ensures the reliability standards of the existent system in concurrence with the introduction of additional loads, that is basically grid expansion. Therefore, an evaluative analytical study is performed to increase the dispatchability and availability of the renewable energy sources. The proposed methodology is evaluated and validated on a multi-area system wherein, each area has a pre-existing capacity, load profile, wind generation profile, and reliability data sets. 2021 IEEE.

11th IEEE PES Innovative Smart Grid Technologies Europe, ISGT Europe 2021, October 18, 2021 - October 21, 2021

2021

Ghazal, Homod M.

Khan, Khalid A.

Alismail, Fahad

Khalid, Muhammad

IEEE Power and Energy Society

conferencePaper

10.1109/ISGTEurope52324.2021.9640125