In this paper, we present a comparison of five dispatching rules that aim to reduce the mean and the variance of cycle times. The performance of the dispatch rules is evaluated using simulation results for two large semiconductor wafer fabrication facilities. The results show that which dispatch rule achieves the best results depends on the fab, on the load of the fab and on the product.

This article explores the potential impacts of integrating electric vehicles (EVs) and variable renewable energy (VRE) on power system operation. EVs VRE are integrated in a production cost model with 5 min time resolution multiple planning horizons to deduce effects generation EV charging operating costs, dispatch stacks, reserves curtailment. penetration scenarios light-duty vehicle fleet 10%...

In order to solve the difficulties of dispatching regional integrated energy system (RIES) under operating conditions multi-energy complementary mechanisms, as well achieve purpose economic operation and low carbon system, an optimal model RIES, including demand response (DR) improved trading mechanism (ICTM), is proposed. Firstly, a established, cooling, thermal, electricity, gas load models a...

To build a multi-energy cloud platform with the distributed generation, energy storage, micro-grid, flexible load, electric vehicle piles for high efficiency application is of great significance. In order to manage resources dispatching and trading in platform, this paper solves three problems. Firstly, present planning method. The modelling linear optimization algorithm prosumer’s self-balance...

Accurate models for electric power load forecasting are essential to the operation and planning of a power utility company. Load forecasting helps electric utility to make important decisions on trading of power, load switching, and infrastructure development. Load forecasts are extremely important for power utilizes ISOs, financial institutions, and other stakeholder of power sector. Short ter...

The rapid development of electric buses has brought a surge in the number bus hubs and their charging discharging capacities. Therefore, location construction scale will greatly affect operation costs benefits an urban distribution network future. Through scientific reasonable planning public transport on premise meeting needs basic services, it can reduce negative impact loads upon power grids...

TAbstractT—With the high-speed economic development in China, the transition of structural function in the urban land system highly effects the development of the urban electric load. Forecasting the urban electric load accurately is the foundation of decision making scientifically for the development and planning of the urban power grid in China. This paper improves the decision method of Tran...

Electric load forecasting is an important issue for a power utility, associated with the management of daily operations such as energy transfer scheduling, unit commitment, and load dispatch. Inspired by strong non-linear learning capability of support vector regression (SVR), this paper presents a SVR model hybridized with the empirical mode decomposition (EMD) method and auto regression (AR) ...