Paper Info
Title
Decision Guidance Approach to Power Network Analysis and Optimization.
Abstract
This paper focuses on developing an approach and technology for actionable recommendations on the operation of electric power network components. The overall direction of this research is to model the major components of a Hybrid Renewable Energy System (HRES), including power generation, transmission/distribution, power storage, energy markets, and end customer demand. First, we propose a conceptual diagram notation for power network topology, to allow the representation of an arbitrary complex power system. Second, we develop a formal mathematical model that describes the HRES optimization framework, consisting of the different network components, their respective costs, and associated constraints. Third, we implement the HRES optimization problem solution through a mixed-integer linear programming (MILP) model by leveraging IBM Optimization Programming Language (OPL) CPLEX Studio. Lastly, we demonstrate the model through an example of a simulated network, showing the ability to support sensitivity / what-if analysis, to determine the behavior of the network under different configurations.
Year
DOI
Venue
2016
10.5220/0005736401090117
ICEIS
Keywords
Field
DocType
Decision Support, Decision Guidance, Optimization, HRES, Electric Power Network
Data mining,Electric power,IBM,Computer science,Decision support system,Electric power system,Linear programming,Optimization problem,Conceptual model (computer science),Electricity generation
Conference
Citations 
PageRank 
References 
2
0.46
0
Authors
3
Name
Order
Citations
PageRank
Roberto Levy121.14
Alexander Brodsky251092.99
Juan Luo3112.16