2010•Unpublished venueRequires access

Evaluation of TOU price based on responses of customer

Yu Cheng, Nana Zhai

Open publisher page 2 citations

Abstract

Time-of-use price (TOU price) based on demand response can change consumer's electricity characteristic. TOU price's effect relies on peak and valley periods division and determination of relative price. Evaluating current TOU price and investigating consumer's response for integration resources of user side dynamically and roundly. Quantized metastasis of electric quantity coefficient and quantized metastasis of electric quantity matrix are put forward in this paper. Based on this, quantized metastasis of electric quantity index is picked up by analyzing consumer's load characteristic which includes inspecting load rate and peak-valley ratio as well as integrating electric quantity's change of each period after execution of TOU price. Large industrial consumer response in some area evaluated by the frame of evaluation of TOU price is shown finally.

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What this paper is about

Time-of-use price (TOU price) based on demand response can change consumer's electricity characteristic. TOU price's effect relies on peak and valley periods division and determination of relative price. Evaluating current TOU price and investigating consumer's response for integration resources of user side dynamically and roundly. Quantized metastasis of electric quantity coefficient and quantized metastasis of electric quantity matrix are put forward in this paper. Based on this, quantized metastasis of electric quantity index is picked up by analyzing consumer's load characteristic which includes inspecting load rate and peak-valley ratio as well as integrating electric quantity's change of each period after execution of TOU price. Large industrial consumer response in some area evaluated by the frame of evaluation of TOU price is shown finally.

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Available abstract

Time-of-use price (TOU price) based on demand response can change consumer's electricity characteristic. TOU price's effect relies on peak and valley periods division and determination of relative price. Evaluating current TOU price and investigating consumer's response for integration resources of user side dynamically and roundly. Quantized metastasis of electric quantity coefficient and quantized metastasis of electric quantity matrix are put forward in this paper. Based on this, quantized metastasis of electric quantity index is picked up by analyzing consumer's load characteristic which includes inspecting load rate and peak-valley ratio as well as integrating electric quantity's change of each period after execution of TOU price. Large industrial consumer response in some area evaluated by the frame of evaluation of TOU price is shown finally.

Key concepts: Electricity, Computer science, Division (mathematics), Frame (networking), Demand response, Mathematical optimization, Electrical engineering, Mathematics

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