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The increased penetration of distributed and volatile renewable generation requires the demand-side to be actively involved in energy balancing operations. This paper proposes a solution in which big data and machine learning methods are employed to enhance the capabilities of a Virtual Power Plant to participate and intelligently bid into a demand response energy market. The energy market being investigated...
In view of the uncertainty nature, integrating large-scale renewable generation aggravates the complexity of the system scheduling due to the uncertainty existing in both supply and demand sides. To reduce the quantity of uncertain variables, the uncertain variables are divided into two parts: the certain forecast and uncertain forecast error, and a total system forecast error integrating with all...
In this study, an LMI (Linear Matrix Inequality) based H∞ robust controller design approach is proposed to improve the performance of the designed U-pole placement control systems. Unlike the classical design procedures, the control-oriented U-model based nonlinear control systems cancel the nonlinearity of the nonlinear models. Therefore, the closed loop transfer function of U-pole placement control...
This paper presents a new workforce allocation optimization model for project scheduling problems with multi-skilled workforce constraints (PSPMSWC), under uncertainty about the projects. The model is a mixed-integer program(MIP) model that aims at maximizing the total profit. As a subproblem, scheduling and staff assignment for projects must also be optimized. In the experiment, projects are selected...
In recent times, we have seen a dramatic increase in the need for prognostics and health management of steam generator (SG) tubes in nuclear power plants. Faster and cheaper implementations of new inspection technologies, including probe designs and signal analysis systems are required. The reliability of these new designs can be assessed by a quantitative probability of detection (POD) study. It...
In order to deal with the uncertain temporal knowledge of the complex real-time system and to improve the existed uncertain temporal knowledge expression and inference algorithm, a new kind of high-level fuzzy timed Petri nets was proposed based on fuzzy timed Petri nets (FTN). The uncertain temporal of the complex real-time can be quantitatively described and the time possibility can be analyzed...
In this paper, a class of linear switched systems with time delays is investigated. At the same time, the impulsive effects and parametric uncertainty assumed to be norm-bounded are considered. Some novel exponentially stable criteria are obtained by constructing appropriate Lyapunov-Krasovskii functional. The validity of the results is shown by one numerical example.
In this paper, four tense operators E, F, G, H, are introduced into LP(X), then extend a lattice-valued propositional logic system to lattice-valued tense propositional logic system LTP(X). In this system, some definitions including generalized literal, T-skolem standard form, are given out. Based on these work, several conclusions about resolution deduction are got. Finally, alpha-soundness theorem...
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