Tonghe Wang

Bio: Tonghe Wang is an academic researcher from Tsinghua University. The author has contributed to research in topics: The Internet & Distributed algorithm. The author has an hindex of 3, co-authored 4 publications receiving 15 citations.

Review of distributed control and optimization in energy internet: From traditional methods to artificial intelligence-based methods

Abstract: Energy Internet (EI) can alleviate the arduous challenges brought about by the energy crisis and global warming and has aroused the concern of many scholars. In the research of EI control systems, the access of distributed energy cause the power system to exhibit complex nonlinearity, high uncertainty, and strong coupling. Traditional control and optimization methods often have limited effectiveness in solving these problems. With the widespread application of distributed control technology and the maturity of artificial intelligence (AI) technology, the combination of distributed control and AI has become an effective method to break through current research bottlenecks. This paper reviews the research progress of EI distributed control technologies based on AI in recent years. It can be found that AI-based distributed control methods have many advantages in maintaining EI stability and achieving optimal energy management. This combination of AI and distributed control makes EI control systems more intelligent, safe, and efficient, which will be an important direction for future research. The purpose of this paper is to provide a reference as well as useful research ideas for the study of EI control systems.

Consensus Edge Computing and Its Applications in Energy Internet

Abstract: Consensus Edge Computing and Its Applications in Energy Internet WANG Tonghe, HUA Haochen, CAO Junwei (1. Tsinghua University, 100084, Beijing; 2. Hohai University, 210098, Nanjing, Jiangsu; 3. Beijing National Research Center for Information Science and Technology, 100084, Beijing) ABSTRACT: Edge computing and consensus are two important research topics in the field of distributed computing. Edge computing delegates some resources to the edge near terminal devices improve the efficiency and quality of computing, while consensus provides security for distributed systems by achieving the consistency among the states of distributed individuals. Based on a brief review of related literature, this paper summarizes and analyzes the reciprocity between edge computing and consensus: the edge computing architecture provides innovation for the theoretical model of consensus study, and consensus provides desirable security for edge computing systems. In this paper, edge computing and consensus algorithm are combined organically, and the concept of “consensus edge computing” is established. The application of this combination is prospectively analyzed under the background of Energy Internet, and then possible development directions are enumerated.

Coordinated Control and Energy Management of Distributed Generation Inverters in a Microgrid

Abstract: This paper presents a microgrid consisting of different distributed generation (DG) units that are connected to the distribution grid. An energy-management algorithm is implemented to coordinate the operations of the different DG units in the microgrid for grid-connected and islanded operations. The proposed microgrid consists of a photovoltaic (PV) array which functions as the primary generation unit of the microgrid and a proton-exchange membrane fuel cell to supplement the variability in the power generated by the PV array. A lithium-ion storage battery is incorporated into the microgrid to mitigate peak demands during grid-connected operation and to compensate for any shortage in the generated power during islanded operation. The control design for the DG inverters employs a new model predictive control algorithm which enables faster computational time for large power systems by optimizing the steady-state and the transient control problems separately. The design concept is verified through various test scenarios to demonstrate the operational capability of the proposed microgrid, and the obtained results are discussed.

On the Security and Performance of Proof of Work Blockchains

Abstract: Proof of Work (PoW) powered blockchains currently account for more than 90% of the total market capitalization of existing digital cryptocurrencies. Although the security provisions of Bitcoin have been thoroughly analysed, the security guarantees of variant (forked) PoW blockchains (which were instantiated with different parameters) have not received much attention in the literature. This opens the question whether existing security analysis of Bitcoin's PoW applies to other implementations which have been instantiated with different consensus and/or network parameters. In this paper, we introduce a novel quantitative framework to analyse the security and performance implications of various consensus and network parameters of PoW blockchains. Based on our framework, we devise optimal adversarial strategies for double-spending and selfish mining while taking into account real world constraints such as network propagation, different block sizes, block generation intervals, information propagation mechanism, and the impact of eclipse attacks. Our framework therefore allows us to capture existing PoW-based deployments as well as PoW blockchain variants that are instantiated with different parameters, and to objectively compare the tradeoffs between their performance and security provisions.

Blockchain for peer-to-peer energy exchanges: design and recommendations (additional work)

Abstract: Energy communities and peer-to-peer energy exchanges are expected to play an important role in the energy transition. In this context, the blockchain approach can be employed to foster this decentralized energy market. Our goal is to determine the design that should allow a Distribution System Operator (DSO) to accept peer-to-peer energy exchanges based on a distributed ledger supported by the blockchain technology. To this end, we will evaluate several designs based on criteria such as acceptance of the wholesale/retail market, the resilience of the consensus to approve a block, the accuracy, traceability, privacy and security of the proposed schemes.