Impact of Stochastically Distributed Renewable PV Generation on Distribution Network Conference Paper

abstract

• 2016 Power Systems Computation Conference. Small-scale and decentralized renewable distributed generation (DG) systems, especially PV systems, will soon be dispersed in distribution networks. The objective of this study is to present tools and algorithms useful for planning distribution networks enhanced by randomly distributed DG. To remove the uncertainties of the location, the capacity, and the field orientation of randomly distributed PV systems, a stochastic simulation algorithm is implemented. The stochastic simulation analyzes the impact of stochastically dispersed residential PV systems from the perspective of energy, especially regarding peak power, electricity generation costs, and emissions, and quantifies the effects of the method of variance reduction, including importance sampling.

name of conference

• 2016 Power Systems Computation Conference (PSCC)

authors

• Begovic, Miroslav
• Kezunovic, Mladen

published proceedings

• 2016 POWER SYSTEMS COMPUTATION CONFERENCE (PSCC)

author list (cited authors)

• Begovic, M. M., Kim, I., & Kezunovic, M.

citation count

• 3

complete list of authors

• Begovic, Miroslav M||Kim, Insu||Kezunovic, Mladen

publication date

• June 2016

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

keywords

• And Stochastic Monte Carlo Simulation
• Distributed Generation (dg)
• Importance Sampling
• Photovoltaic (pv)
• Sampling Of Representative Clusters And Extreme Points

Digital Object Identifier (DOI)

• 10.1109/pscc.2016.7541018

International Standard Book Number (ISBN) 13

• 9788894105124

start page

• 1

end page

• 6

URL

• http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7527554

user-defined tag

• 13 Climate Action
• 7 Affordable and Clean Energy