In microgrids, distributed load sharing plays an important role in maintaining the supply-demand balance of power. Because false data injection (FDI) is one of the crucial threats faced by future microgrids, the study...
详细信息
In microgrids, distributed load sharing plays an important role in maintaining the supply-demand balance of power. Because false data injection (FDI) is one of the crucial threats faced by future microgrids, the study of the impact of FDI on distributed load sharing is both of theoretical merit and practical value. In this paper, we consider the distributed load sharing problem of the microgrids operating in autonomous mode under FDI. Each bus is assumed to be equipped with an agent. Under a well-developed distributed load sharing protocol based on multiagent systems, we first construct an FDI attack model, where the attacker is capable of injecting false data into the bus agents. Then, a utilization level is introduced for co-ordinating generators, and its variation is evaluated in the presence of FDI attacks with given injection strategies. The stable region of the microgrid is defined, and conditions are given to determine stability. Finally, theoretical results are validated on the Canadian urban distribution system.
A distributed cooperative control paradigm is proposed to handle the loadsharing and transmission power loss optimisation-based optimal power flow (OPF) problems in DC microgrids, which is based on a distributed fini...
详细信息
A distributed cooperative control paradigm is proposed to handle the loadsharing and transmission power loss optimisation-based optimal power flow (OPF) problems in DC microgrids, which is based on a distributed finite-time average consensus algorithm and a linear variable weighted summation algorithm. Firstly, an OPF problem is formulated to minimise the global transmission power loss, which is then solved by a novel distributed OPF regulator in secondary control. Furthermore, a distributed OPF considering loadsharing controller is proposed in secondary control, which aims to guarantee that the loadsharing deviation is limited to the assigned permissible range and the global transmission power loss is reduced to a minimum simultaneously. Compared to existing methods, these two control algorithms are developed in a completely distributed fashion, and the load distribution matrix and conductance matrix of DC microgrids are not needed. The effectiveness of the proposed control methods is verified by simulation results.
This paper is concerned with the privacy-preserving average consensus problem for discrete-time multi-agent systems. The main goal of this paper is to develop a privacy-preserving algorithm that ensures all agents in ...
详细信息
This paper is concerned with the privacy-preserving average consensus problem for discrete-time multi-agent systems. The main goal of this paper is to develop a privacy-preserving algorithm that ensures all agents in the network to reach exact average consensus while keeping the initial state of each agent private. To achieve this, a novel two-phase privacy-preserving algorithm is proposed. In the first phase, each agent generates a group of independent random signals and creates a mask signal via local data exchange. In the second phase, all agents execute a standard consensus algorithm. Rigorous analysis shows that each agent can converge to exact average consensus while protecting sensitive information of individuals against internal honest-but-curious nodes and external eavesdroppers. Moreover, the developed algorithm is applied to the distributed load sharing of microgrids. Finally, a simulation example is provided to verify the theoretical results. (c) 2024 Elsevier Ltd. All rights reserved.
暂无评论