Koduru Manohar Reddy, Kowtharapu Kesava Sai, D. Deepa
The blockchain-based voting system is emerging efficient technology as it reduces voting costs and increases voter turnout. This technology lets people to vote from anywhere with an Internet connection by eliminating the need to visit a physical polling center. The primary challenge faced by internet voting is its security. To overcome this challenge, the decentralized and distributed blockchain technology is preferred. It provides tamper-proof and visible voting records, ensuring that the votes are dependable, accurate, and secure. This study has developed a blockchain-based e-ballot application to provide a secure electronic voting system that offers the same degree of equality and privacy as existing voting services but with the added transparency and flexibility that electronic voting systems provide. The purpose of employing blockchain as a service, in conjunction with distributed ledger technologies to construct an electronic voting system is to address the drawbacks faced by existing voting system while also making it more cost efficient. To summarize, blockchain-based voting systems may be able to overcome some of the challenges that now hinder political decision-making.
Hongxu Huang, Zhengmao Li, L. P. Mohasha Isuru Sampath, Jiawei Yang · 8 authors
In this paper, a blockchain-enabled distributed market framework is proposed for the bi-level carbon and energy trading between coal mine integrated energy systems (CMIESs) and a virtual power plant (VPP) with network constraints. To maximize the profits of these two entities and describe their complicated interactions in the market, the bi-level trading problem is formulated as a Stackelberg game considering integrating the energy market and the “cap-and-trade” carbon market mechanism. Meanwhile, in the CMIES, energy recovery units and belt conveyors can be flexibly scheduled and the pumped hydroelectric storage in the VPP is scheduled for energy management. To tackle uncertainties from PV outputs, the joint trading, and the energy management is solved by the distributionally robust optimization (DRO) method. In addition, for participants' privacy, the alternating direction method of multipliers (ADMM) - based DRO algorithm is applied to solve the trading problem in a distributed framework. Further, the Proof-of-Authority (PoA) blockchain is deployed to develop a safe and anonymous market platform. Finally, case studies along with numerous comparison cases are conducted to verify the effectiveness of the proposed method. Simulation results indicate that the proposed method can effectively reduce the system operation cost and regional carbon emission, reduce the conservativeness and protect the privacy of each participant.