Capacity Value of Solar Power and Other Variable Generation

by   S. Awara, et al.

This paper reviews methods that are used for adequacy risk assessment considering solar power and for assessment of the capacity value of solar power. The properties of solar power are described as seen from the perspective of the power-system operator, comparing differences in energy availability and capacity factors with those of wind power. Methodologies for risk calculations considering variable generation are surveyed, including the probability background, statistical-estimation approaches, and capacity-value metrics. Issues in incorporating variable generation in capacity markets are described, followed by a review of applied studies considering solar power. Finally, recommendations for further research are presented.



There are no comments yet.


page 5


Two-Stage Hybrid Day-Ahead Solar Forecasting

Power supply from renewable resources is on a global rise where it is fo...

SolarNet: A Deep Learning Framework to Map Solar Power Plants In China From Satellite Imagery

Renewable energy such as solar power is critical to fight the ever more ...

On the Performance of Renewable Energy-Powered UAV-Assisted Wireless Communications

We develop novel statistical models of the harvested energy from renewab...

Using extreme value theory for the estimation of risk metrics for capacity adequacy assessment

This paper investigates the use of extreme value theory for modelling th...

A Multi-State Power Model for Adequacy Assessment of Distributed Generation via Universal Generating Function

The current and future developments of electric power systems are pushin...

Capacity Value of Interconnection Between Two Systems

Concerns about system adequacy have led to the establishment of capacity...

The strong effect of network resolution on electricity system models with high shares of wind and solar

Energy system modellers typically choose a low spatial resolution for th...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.