Decentralised coordination of power system operation using dual evolutionary programming

This paper proposes a decentralised coordination framework for operating power systems with dispersed generation and energy storage. It then develops a novel decentralised approach for calculating the system optimal operation of resources with intertemporal links. The method combines elements of dyn...

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Bibliographic Details
Published in:IEEE transactions on power systems 1999-02, Vol.14 (1), p.112-119
Main Authors: MacGill, I.F., Kaye, R.J.
Format: Article
Language:English
Subjects:
Applied sciences
Direct energy conversion and energy accumulation
Distributed power generation
Dynamic programming
Dynamical systems
Dynamics
Electrical engineering. Electrical power engineering
Electrical power engineering
Energy accumulation
Energy storage
Evolutionary algorithms
Exact sciences and technology
Genetic programming
Mathematical analysis
Mathematical models
Mathematical programming
Operation. Load control. Reliability
Operational research and scientific management
Operational research. Management science
Optimization
Planning. Forecasting
Power generation
Power networks and lines
Power system analysis computing
Power system dynamics
Power system economics
Power system modeling
Power systems
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Summary:This paper proposes a decentralised coordination framework for operating power systems with dispersed generation and energy storage. It then develops a novel decentralised approach for calculating the system optimal operation of resources with intertemporal links. The method combines elements of dynamic programming with evolutionary programming. Each power system resource evolves a 'future benefit' function that describes the impact of its own possible decisions on future power system operation. This 'dual evolutionary programming' approach can handle complex resource models and objective functions. It is shown to be computationally faster than discrete dynamic programming for a number of power system problems with multiple storage resources.
ISSN:0885-8950
1558-0679
DOI:10.1109/59.744496