An essential building block of the smart grid of today is the integration of various renewable power generators in the system. Renewable distributed generators (DG) provide environmentally friendly energy at a low cost. A distributed economic dispatch (ED) system for renewable DGs has been formulated in this work to enhance scalability and reduce single points of failure as compared to the centralized ED system. A self-triggered consensus control mechanism is devised over a wireless channel to reduce the communication cost due to communication overhead in distributed systems. Communication losses due to wireless communication between local DGs have been addressed in this work, and a regression-based estimation has been proposed to account for lost or corrupted packets. The proposed approach is compared with the existing centralized ED system and also with periodic communication. The proposed self-triggered communication approach achieves the same level of performance as periodic communication while using half the resources.

Long-range (LoRa) communication has attracted much attention recently due to its application for many Internet of Things applications. However, one of the key problems of the LoRa technology is it is vulnerable to noise/interference due to the use of only up-chirp signals during modulation. In this paper, to solve this problem, unlike the conventional LoRa modulation scheme, we propose a modulation scheme for LoRa communication based on joint up- and down-chirps. A fast Fourier transform (FFT) based demodulation scheme is devised to detect modulated symbols. To further improve demodulation performance, a hybrid demodulation scheme, comprised of FFT and correlation-based demodulation is also proposed. The performance of the proposed scheme is evaluated through extensive simulation results. Compared to the conventional LoRa modulation scheme, we show that the proposed scheme exhibits over 3 dB performance gain at bit error rate of 10^-4.