Abstract
In the near future, photovoltaic (PV) power generation systems will become widespread. In this study, we apply multi-objective optimization to the designed model: the concentrated introduction of PV systems with stationary batteries and electric vehicle (EV) batteries in housing areas to fulfill the diverse demands from various sectors, including electrical power companies and utility customers. In the computations, we propose a novel method for modeling the residential load and PV output power based on the measured data from a national research project in Japan. Furthermore, we carry out data mining of the optimization results using a self-organizing map as an effective analysis tool for the design of PV systems with storage batteries.
| Original language | English |
|---|---|
| Title of host publication | 17th Power Systems Computation Conference, PSCC 2011 |
| Publisher | Power Systems Computation Conference ( PSCC ) |
| ISBN (Print) | 9789175012575 |
| Publication status | Published - 2011 |
| Event | 17th Power Systems Computation Conference, PSCC 2011 - Stockholm, Sweden Duration: 2011 Aug 22 → 2011 Aug 26 |
Other
| Other | 17th Power Systems Computation Conference, PSCC 2011 |
|---|---|
| Country/Territory | Sweden |
| City | Stockholm |
| Period | 11/8/22 → 11/8/26 |
Keywords
- Distribution network
- Electric vehicle
- Multi-objective optimization
- Photovoltaic power generation
- Self-organizing map
- Stationary battery
ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Science Applications
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering
