| Title |
Finding Optimal Combination of Distributed Renewable Energy Sources for Configuring Virtual Power Plant with Minimum Output Variance |
| Authors |
최어진(Eo-Jin Choi) ; 김종규(Jong-Kyu Kim) ; 한혜승(Hye-Seung Han) ; 김승완(Seung-Wan Kim) |
| DOI |
https://doi.org/10.5370/KIEE.2020.69.12.1866 |
| Keywords |
Virtual Power Plant; DER Aggregation; Minimum Output Variance; Optimal Combination |
| Abstract |
Non-dispatchable distributed renewable energy sources, such as solar and wind generator, have large uncertainty and variability.
Because of the nature, when an aggregator participates in the market as the form of virtual power plant, several problems may take place. For example, if less or excess generation is occurred, a penalty for deviation may be imposed to the virtual power plant. This penalty may negatively affect the profit of virtual power plant. There are two approaches to handle this problem. One is reducing forecasting errors in an operation stage and another is minimizing output variance when configuring a portfolio for virtual power plant in a planning stage. This work would propose a way of finding optimal combination of distributed renewable energy sources for configuration of virtual power plant with minimum output variance. It is expected that VPP can reduce the market risk using the proposed technique from this study. |