Abstract
The advent of advanced sensor technology and the breakthroughs in telecommunication open up several new possibilities for demand-side management. More recently, there has been greater interest from utilities as well as system operators in utilizing load as a system resource through the application of new technologies. With the wider application of demand-side management, there is an increasing emphasis on control of loads with minimum disruption. This paper develops a new framework for designing as well as assessing such an advanced direct load control program with the objective of minimizing end-user discomfort and is formulated as an optimization problem. With a fairly general setup for demand-side management, a simulation-based framework is developed for the stochastic optimization problem. Next, using this framework, insights into the effect of different parameters and constraints in the model on load control are developed.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1681-1688 |
| Number of pages | 8 |
| Journal | IEEE Transactions on Power Systems |
| Volume | 23 |
| Issue number | 4 |
| DOIs | |
| State | Published - 2008 |
Keywords
- Cold load pickup
- Demand-side management
- Direct load control
- Dynamic programming
- Minimum disruptive control
- Monte Carlo simulations
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering
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