935 research outputs found
Decentralized Demand Side Management with Rooftop PV in Residential Distribution Network
In the past extensive researches have been conducted on demand side
management (DSM) program which aims at reducing peak loads and saving
electricity cost. In this paper, we propose a framework to study decentralized
household demand side management in a residential distribution network which
consists of multiple smart homes with schedulable electrical appliances and
some rooftop photovoltaic generation units. Each smart home makes individual
appliance scheduling to optimize the electric energy cost according to the
day-ahead forecast of electricity prices and its willingness for convenience
sacrifice. Using the developed simulation model, we examine the performance of
decentralized household DSM and study their impacts on the distribution network
operation and renewable integration, in terms of utilization efficiency of
rooftop PV generation, overall voltage deviation, real power loss, and possible
reverse power flows.Comment: 5 pages, 7 figures, ISGT 2018 conferenc
Optimized Solar Photovoltaic Generation in a Real Local Distribution Network
Remarkable penetration of renewable energy in electric networks, despite its
valuable opportunities, such as power loss reduction and loadability
improvements, has raised concerns for system operators. Such huge penetration
can lead to a violation of the grid requirements, such as voltage and current
limits and reverse power flow. Optimal placement and sizing of Distributed
Generation (DG) are one of the best ways to strengthen the efficiency of the
power systems. This paper builds a simulation model for the local distribution
network based on obtained load profiles, GIS information, solar insolation,
feeder and voltage settings, and define the optimization problem of solar PVDG
installation to determine the optimal siting and sizing for different
penetration levels with different objective functions. The objective functions
include voltage profile improvement and energy loss minimization and the
considered constraints include the physical distribution network constraints
(AC power flow), the PV capacity constraint, and the voltage and reverse power
flow constraints.Comment: To be published (Accepted) in: Proceedings of the IEEE PES Innovative
Smart Grid Technologies Conference (ISGT), Washington D.C., USA, 201
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