AI Xin, ZHOU Shupeng, ZHAO Yuequn, TANG Liang. Research on the Joint Optimal Dispatch of DLC and IL Based on Chance Constrained Programming[J]. Modern Electric Power, 2016, 33(6): 1-6.
Citation: AI Xin, ZHOU Shupeng, ZHAO Yuequn, TANG Liang. Research on the Joint Optimal Dispatch of DLC and IL Based on Chance Constrained Programming[J]. Modern Electric Power, 2016, 33(6): 1-6.

Research on the Joint Optimal Dispatch of DLC and IL Based on Chance Constrained Programming

  • Different kinds of demand response resources can be integrated together to make full use of them. The optimal dispatch model that contains direct load control (DLC) and interruptible load (IL) is proposed to minimize the scheduling cost. The differences or similarities among controlled amount, controlled duration and compensation price are compared, especially the difference in energy payback of DLC and IL. Chance constraint is used to handle the uncertainties in load forecasting, and the chance constraint is converted into its deterministic equivalent form. In addition, the lagrangian relaxation method is used to solve the deterministic model, and the preset confidence level is verified through Monte Carlo simulation. The model that integrates the peak removing characteristic of DLC and peak clipping characteristic of IL can effectively reduce the load peak and eliminate the second peak load.
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