Distributed Real-time Pricing Strategy for Smart Grid Based on Fuzzy Subgradient Algorithm
Real-time pricing is one of the key issues in smart grid research,and social welfare maximi-zation is an important method to study distributed real-time pricing.Taking into account the overall benefits of the power grid system and balancing the interests of both supply and demand sides,a so-cial welfare maximization model is established.Firstly,based on the duality theory,the optimal solution of the model is obtained by solving its dual problem.Secondly,for dual problems,historical subgradient information is used to improve the traditional subgradient algorithm in order to address the problem of oscillation and low solving efficiency.And based on fuzzy theory,the weight coefficients of all history sub-gradients are achieved in the iteration process,following a simple member ship function.Finally,a novel distributed real-time pricing algorithm is proposed.The real-time electricity price,the power con-sumption of users and the power supply of the energy supplier can be obtained simultaneously through the real-time interaction of information between supply and demand.The rationality of the proposed pricing model and the effectiveness of the new distributed algorithm are verified by numerical simula-tion.
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维普
