With spread of photovoltaic (PV) system in power systems, it will become more difficult to keep supply-demand balance of the power in mUlti-region by control of only the system side. Cooperation between the centralized energy management and distributed energy management is important for improving the supply-demand balance. For this purpose, it is necessary to accurately forecast the load and the PV power generation in a region. However, forecasting of residential load is very difficult because of steep fluctuations. In addition, we cannot obtain every residential load data. So we need to develop a basic model that forecasts the load of mUlti-regions without using actual measured data in all of the regions.In this paper, we analyzed the main component of the load to create a load estimation model. The load response associated with temperature fluctuations was modeled per time resolution of one hour by the main component analysis. We also estimated aggregated residential loads of multi-region. On the other hand, PV power generation was chosen from a similar day based on irradiance and temperature of multi-region. As a result, a data set for large-scale power system control simulation was made, and a stable power supply from the system side will be possible by demand response (DR) using demand-side storage batteries.
The document that should appear here has been removed because it was submitted for publication without a completed copyright transfer form. It was mistakenly included because of a production error, which the conference sincerely regrets. Reasonable effort should be made to remove all further references to this document.We regret any inconvenience.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.