Analysis on Scheduled Trading Interval Optimization Based on Pricing Strategy of Adjustable Load

doi:10.3969/j.issn.1008-0198.2022.02.003

Abstract

Abstract: In this paper, the fitting model between the prediction accuracy and the scheduled trading interval is proposed based on the least square method,in order to refine the load forecasting model. Considering the cost of the adjustable load, its pricing model related to the scheduled trading interval is proposed. Considering the penalty price of the prediction deviation, an optimization model is proposed to determine the optimal scheduled trading interval with the least total cost of the power retail company. The simulation results show that pricing to the adjustable load has larger impact on the total cost than the penalty price. The total cost of the distribution company can be reduced by selecting the users with large adjustable load capacity, small actual load regulation and long dispatch time when the load regulation quantity is determined.

Key words: electricity retail market, adjustable load, scheduled trading interval, pricing strategy, load prediction deviation, optimization

CLC Number:

TM714

ZHOU Tao, QIAN Hanhan, ZHANG Wei, HU Tao, LI Shenghu. Analysis on Scheduled Trading Interval Optimization Based on Pricing Strategy of Adjustable Load[J]. Hunan Electric Power, 2022, 42(2): 11-16.

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