Combinatorial Optimization-based Hierarchical Management of Residential Energy Systems as Virtual Power Plant
- Resource Type
- Conference
- Authors
- Saito, Toranosuke; Yoshida, Akira; Kashikawa, Takahiro; Kimura, Koichi; Amano, Yoshiharu
- Source
- 2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE) Instrument and Control Engineers of Japan (SICE), 2020 59th Annual Conference of the Society of. :1833-1839 Sep, 2020
- Subject
- Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Procurement
Privacy
Decision making
Middleware
Optimization
Monitoring
Predictive control
Hierarchical Energy Management
Virtual Power Plant
Demand Response
Residential Energy System
- Language
The supply-demand adjustment market in Japan will be opened in 2021, and it is expected to contribute to a virtual power plant (VPP) to gather distributed energy resources even from residential sector. The problem is to integrate residential sector that respond differently depending on the characteristics of each household, with keeping protecting consumer privacy. This article proposes a hierarchical management method that realizes VPP in residential sector. The proposed framework meets the requirements to join a market. The proposed method gets evaluated in numerical experiments. We aim to aggregate 1 MW controllable electricity with 4,000 detached household. The results show that the proposed method could achieve an amount of electricity of the procurement target in computing time of 10 minutes.