| Title | Sustainable community based PV-storage planning using the Nash bargaining solution |
|---|---|
| ID_Doc | 75923 |
| Authors | Liang, JK; Shirsat, A; Tang, WY |
| Title | Sustainable community based PV-storage planning using the Nash bargaining solution |
| Year | 2020 |
| Published | |
| Abstract | A dramatic increase in the penetration of customer-sited solar and storage has increased the concerns over utility revenues. A novel business model where the utility and the households within a community cooperatively deploy solar and storage is proposed in this paper. The potential increased payoffs are allocated by the Nash bargaining solution with efficiency and symmetry. Community-based expansion planning highly relies on local meteorology and geography. A convolutional neural network based scenario generation method is used to capture the locally driven uncertainties. The numerical results demonstrate that the players can improve their payoffs using the cooperative approach as compared to the non-cooperative approach. The case studies shed light on the future customer-utility relationship. |
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