A multi-stage robust real-time economic dispatch model (MRRTD) for power systems is proposed in this paper. The MRRTD takes the dynamic form of optimization as framework to naturally simulate operation equipment that temporally coupled, e.g., utility-level energy storage systems. For normal systems, can work directly short time slots with a rolling horizon. large-scale expands time-slot scale a...

Multi-interval settlement is conducive to meeting the needs of growing renewable energy resources with great intermittency and volatility managing effective operation in electricity spot market. However, insufficient incentive market price inaccurately reflecting total cost caused by inaccuracy generation load prediction current multi-interval will lead inefficient scheduling, causing participa...

Locating good design solutions within a sequential process environment is necessary to improve the quality and overall productivity of the processes. Multi-objective, multi-stage sequential process design is a complex problem involving large number of design variables and sequential relationship between any two stages. The aim of this paper is to propose a novel framework to handle real-life se...

This paper proposes an on-orbit servicing logistics optimization framework capable of performing the short-term operational scheduling and long-term strategic planning sustainable infrastructures that involve high-thrust, low-thrust, and/or multimodal servicers supported by orbital depots. The proposed generalizes state-of-the-art method incorporating user-defined trajectory models optimizing o...

A hierarchical approach to planning production in complex manufacturing systems is presented. A single facilitg containing a number of work-centers that prvduce multiple part types is considered. The planning horizon includes a sequence of time periods, and the demand for all part types is assumed to be known. The production planning problem consists of minimizing the holding costs for the work...

Inflation driven by a single, minimally coupled, slowly rolling field generically yields a negligible primordial non-Gaussianity. We discuss two distinct mechanisms by which a nontrivial potential can generate large non-Gaussianities. Firstly, if the inflaton traverses a feature in the potential, or if the inflationary phase is short enough so that initial transient contributions to the backgro...

This paper presents an acyclic real-time traffic signal control model with transit priority based on a rolling horizon process for isolated intersections. The developed model consists of two components, including: an Improved Genetic Algorithm (IGA)-based signal optimization module and a microscopic traffic simulation module. The acyclic real-time traffic signal control model optimizes the phas...

Focused on the dynamic scheduling problem for earth-observing satellites (EOS), an integer programming model is constructed after analyzing the main constraints. The rolling horizon (RH) strategy is proposed according to the independent arriving time and deadline of the imaging tasks. This strategy is designed with a mixed triggering mode composed of periodical triggering and event triggering, ...

This paper deals with a gradually deteriorating system operating under an uncertain environment whose state is only known on a finite rolling horizon. As such, the system is subject to constraints. Maintenance actions can only be planned at imposed times called maintenance opportunities that are available on a limited visibility horizon. This system can, for example, be a commercial vehicle wit...