Real-Time Pricing Strategy Considering the Risk of Smart Grid

doi:10.16182/j.issn1004731x.joss.201804020

Abstract

Abstract: The real-time electricity price mechanism is an ideal method to adjust the power balance between supply and demand in smart grid. Its implementation has profound impacts on the users' behavior and the operation and management of electricity power grid’s safety. The users’ demand behavior plays a regulatory role in designing real-time electricity pricing strategy. Aiming at maximizing social welfare, the dynamic change of users’ aggregate demand is analyzed, which corrects the electricity risk items in online real-time risk model in the way of changing the individual user’s power fluctuations to all the users’ demand power fluctuations, and the optimization model is rebuilt. An algorithm is presented to overcome the existing online one without computing the overall power consumption by equivalently conversing the optimization problem through dual method. The algorithm will help to get real-time electricity price. The model rationality and the proposed algorithm validity and feasibility are verified by numerical simulation results.

Key words: smart grid, real-time pricing, risk, optimization

CLC Number:

Zhu Hongbo, Gao Yan, Dai Yeming. Real-Time Pricing Strategy Considering the Risk of Smart Grid[J]. Journal of System Simulation, 2018, 30(4): 1376-1383.

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