Related Experiment Video
Updated: Feb 21, 2026

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
Published on: December 9, 2012
An inexact multistage fuzzy-stochastic programming for regional electric power system management constrained by
Zhenghui Fu1, Han Wang2, Wentao Lu1
1College of Environmental Science and Engineering, Peking University, Beijing, 100871, China.
Abstract:
Electric power system involves different fields and disciplines which addressed the economic system, energy system, and environment system. Inner uncertainty of this compound system would be an inevitable problem. Therefore, an inexact multistage fuzzy-stochastic programming (IMFSP) was developed for regional electric power system management constrained by environmental quality. A model which concluded interval-parameter programming, multistage stochastic programming, and fuzzy probability distribution was built to reflect the uncertain information and dynamic variation in the case study, and the scenarios under different credibility degrees were considered. For all scenarios under consideration, corrective actions were allowed to be taken dynamically in accordance with the pre-regulated policies and the uncertainties in reality. The results suggest that the methodology is applicable to handle the uncertainty of regional electric power management systems and help the decision makers to establish an effective development plan.
Related Concept Videos
Multimachine Stability
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
Fast Decoupled and DC Powerflow
Load-frequency control
Maximum Power Flow and Line Loadability
The Power Flow Problem and Solution
Distributed Loads: Problem Solving