.اثرات تخصیصی و استراتژیک ارتقاء حریم خصوصی در شبکه های هوشمند

In this paper, we characterize both theoretically and numerically the effect of privacy mechanisms applied in a local energy market scenario. Our model considers demand side flexibility as well as energy storage systems. Furthermore, we allow for a free specification of the desired privacy enhancement level. We show that under certain natural assumptions market mechanisms retain in-expectation incentive compatibility despite the presence of privacy enhancement. Our numerical analysis based on real-world data shows that the welfare impact of privacy enhancement mechanisms is limited. Furthermore, energy storage can mitigate this efficiency loss to a large extent.