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In these years, the wind power integration capacity has increased a lot, and the issue of wind curtailment has become more serious for lack of adequate flexible energy sources. To find out whether the nuclear power plant (NPP) in the present power system can solve this issue, this paper proposes a joint operational optimization model that includes the NPP, wind power plant, thermal units and pumped-storage...
Multi-objective optimization problems with interval (MOPs-I) uncertainties parameters are common in practice. Evolutionary multi-objective (EMO) algorithms are popularly employed to solve these problems due to their powerful explorations. The comparison strategies among interval objectives of MOPs-I are crucially important for obtaining a superior Pareto front when applying EMOs. By effectively combining...
We present two novel distributed event detection algorithms based on a statistical approach that tolerate Byzantine attacks where malicious (compromised) sensors send false sensing data to the gateway leading to increased false alarm rate. We study the problem of Byzantine attack function optimization and the decision threshold optimization and consider two practical cases in our algorithms. In the...
A novel approach is proposed for the layering and zoning (LAZ) optimization design of Ultra-high voltage (UHV) receiving power network. The method operates by joint use of framework representation and intermittent distributed computing. Structure graph model and information framework is first established to facilitate the analysis of network performance. Furthermore, a comprehensive evaluation system,...
A new type of multi-tube column, in which a novel internal-structure is installed in the bed of random packing, has been invented. The internal-structure reduces the hydraulic radius of the column and adjusts the gas/liquid flow so that the liquid maldistribution is greatly abated. A mathematical model with boundary conditions based on close-open mechanism at the internal -structure was established...
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