| Title |
A Stochastic Pplanning Method for Semand-side Management Program based on Load Forecasting with the Volatility of Temperature |
| DOI |
https://doi.org/10.5370/KIEE.2015.64.6.852 |
| Keywords |
Demand-side management ; Load forecasting ; Temperature stochastic modeling |
| Abstract |
Demand side management (DSM) program has been frequently used for reducing the system peak load because it gives utilities and independent system operator (ISO) a convenient way to control and change amount of electric usage of end-use customer. Planning and operating methods are needed to efficiently manage a DSM program. This paper presents a planning method for DSM program. A planning method for DSM program should include an electric load forecasting, because this is the most important factor in determining how much to reduce electric load. In this paper, load forecasting with the temperature stochastic modeling and the sensitivity to temperature of the electric load is used for improving load forecasting accuracy. The proposed planning method can also estimate the required day, hour and total capacity of DSM program using Monte-Carlo simulation. The results of case studies are presented to show the effectiveness of the proposed planning method. |