Stochastic Optimal Dispatch of Power System under Extreme Weather Disaster

2010 ◽  
Vol 37-38 ◽  
pp. 1219-1222
Author(s):  
Yong Xi Zhang ◽  
Hong Ming Yang ◽  
Zhao Yang Dong ◽  
Ming Yong Lai
Keyword(s):  
Power System ◽  
Large Scale ◽  
Differential Evolution Algorithm ◽  
Extreme Weather ◽  
Disaster Prevention ◽  
Power Network ◽  
Optimal Dispatch ◽  
Evolution Algorithm ◽  
Full Consideration

Several large scale failures of power system took place due to extreme weather disaster recent years, which aroused the consideration of power network security operation. Considering that the line failure events caused by natural disaster presented random characteristic, using Poisson distribution theory to depict the probability of line failure, a stochastic power system optimal dispatch model based on chance constraints theory was also proposed. We adopted the Differential Evolution algorithm to calculate the total loss based on Monte-Carlo simulation. The results of IEEE 9-bus case study imply that the dispatch model will give full consideration of weather effects, and provide a more reasonable dispatch plan for power system disaster prevention and reduction.

Phylogenetic Differential Evolution

2014 ◽  
pp. 22-40 ◽  
Author(s):  
Vinícius Veloso de Melo ◽  
Danilo Vasconcellos Vargas ◽  
Marcio Kassouf Crocomo
Keyword(s):  
Differential Evolution ◽  
Large Scale ◽  
Differential Evolution Algorithm ◽  
Building Blocks ◽  
Large Scale Systems ◽  
Estimation Of Distribution ◽  
Evolution Algorithm ◽  
A New Technique ◽  
Distribution Algorithms ◽  
Binary Problems

This paper presents a new technique for optimizing binary problems with building blocks. The authors have developed a different approach to existing Estimation of Distribution Algorithms (EDAs). Our technique, called Phylogenetic Differential Evolution (PhyDE), combines the Phylogenetic Algorithm and the Differential Evolution Algorithm. The first one is employed to identify the building blocks and to generate metavariables. The second one is used to find the best instance of each metavariable. In contrast to existing EDAs that identify the related variables at each iteration, the presented technique finds the related variables only once at the beginning of the algorithm, and not through the generations. This paper shows that the proposed technique is more efficient than the well known EDA called Extended Compact Genetic Algorithm (ECGA), especially for large-scale systems which are commonly found in real world problems.

A binary differential evolution algorithm for airline revenue management: a case study

2020 ◽  
Vol 24 (18) ◽  
pp. 14221-14234
Author(s):  
Amir Karbassi Yazdi ◽  
Mohamad Amin Kaviani ◽  
Thomas Hanne ◽  
Andres Ramos
Keyword(s):  
Differential Evolution ◽  
Revenue Management ◽  
Differential Evolution Algorithm ◽  
Airline Revenue Management ◽  
Evolution Algorithm ◽  
Binary Differential Evolution

scholarly journals Voltage Coordination via Communication in Large-Scale Multi-Area Power Systems. Part I: Principal

2012 ◽  
Vol 433-440 ◽  
pp. 7175-7182
Author(s):  
Mohammad Moradzadeh ◽  
René Boel
Keyword(s):  
Power Systems ◽  
Power System ◽  
Electricity Market ◽  
Large Scale ◽  
Electric Power Systems ◽  
Coordination Control ◽  
Coordination Problem ◽  
Control Actions ◽  
System Operator

This two-part paper deals with the coordination of the control actions in a network of many interacting components, where each component is controlled by independent control agents. As a case study we consider voltage control in large electric power systems, where ever-increasing pressures from the liberalization and globalization of the electricity market has led to partitioning the power system into multiple areas each operated by an independent Transmission System Operator (TSO). Coordination of local control actions taken by those TSOs is a very challenging problem as poorly coordinated operation of TSOs may endanger the power system security by increasing the risk of blackouts. This coordination problem involves many other issues such as communication, abstraction and last but not least optimization. This first part of the paper is devoted to the principals of the coordination control, addressing some of those issues using as a case study the problem of coordination control for avoiding voltage collapse in large-scale multi-area power systems.

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