Distributed Energy Management for Comprehensive Utilization of Residential Photovoltaic Outputs
Open Access
- 17 June 2016
- journal article
- research article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Smart Grid
- Vol. 9 (2), 1216-1227
- https://doi.org/10.1109/tsg.2016.2581882
Abstract
The introduction of photovoltaic power systems is being significantly promoted. This paper proposes the implementation of a distributed energy management framework linking demand-side management systems and supply-side management system under the given time-of-use pricing program for efficient utilization of photovoltaic power outputs; each system implements a consistent management flow composed of forecasting, operation planning, and control steps. In our framework, demand-side systems distributed in the electric distribution network manage individual energy consumption to reduce the residential operating cost by utilizing the residential photovoltaic power system and controllable energy appliances so as not to inconvenience residents. On the other hand, the supply-side system utilizes photovoltaic power maximally while maintaining the quality of electric power. The effectiveness of the proposed framework is evaluated on the basis of an actual Japanese distribution network simulation model from both the supply-side and demand-side viewpoints.Keywords
Funding Information
- Japan Science and Technology Agency Core Research for Evolutional Science and Technology Program
This publication has 23 references indexed in Scilit:
- Use of model predictive control for experimental microgrid optimizationApplied Energy, 2014
- Model predictive control-based power dispatch for distribution system considering plug-in electric vehicle uncertaintyElectric Power Systems Research, 2014
- On-line nonlinear model predictive control of a PEM fuel cell systemJournal of Process Control, 2013
- Forecasting of solar irradiance with just‐in‐time modelingElectrical Engineering in Japan, 2012
- Assessment of forecasting techniques for solar power production with no exogenous inputsSolar Energy, 2012
- Use of model predictive control and weather forecasts for energy efficient building climate controlEnergy and Buildings, 2012
- Intra-hour forecasting with a total sky imager at the UC San Diego solar energy testbedSolar Energy, 2011
- Distributed model predictive controlIEEE Control Systems, 2002
- Robust model predictive control: A surveyPublished by Springer Science and Business Media LLC ,1998
- A new look at the statistical model identificationIEEE Transactions on Automatic Control, 1974