Abstract
Because the time of use (TOU) strategies can directly affect the power flow distribution of electrical distribution system, this paper investigates the optimal TOU electricity pricing model and its functions for improving the power quality and reducing the power loss of electrical distribution system. Firstly, an optimal period partitioning algorithm based on a moving boundary technique is proposed for dividing an entire day to the different periods. Secondly, an optimal TOU electricity pricing model is proposed through minimizing the peak-valley difference, the voltage fluctuation, and the power loss. The particle swarm optimization (PSO) algorithm is adopted to solve the proposed optimization problem, and the multi-objective constrained optimization problem is transformed into a single objective unconstrained optimization problem. Thirdly, two novel indices of describing the voltage variation and the power loss are defined for considering the impact of TOU strategies and improving the power quality and reducing the power loss. Finally, an IEEE 14-bus system is applied to verifying the correctness and effectiveness of the proposed method. The results prove that the algorithm which proposed in this paper has a great significance in improving the power quality and the economic benefits of electrical distribution system.
Highlights
The demand response (DR) program has a significant influence on improving the reliability of electrical distribution system and alleviating the electricity shortage during the peak period [1]–[4]
The particle swarm optimization (PSO) algorithm is adopted to solve the proposed optimization problem, and the multiobjective constrained optimization problem is transformed into a single objective unconstrained optimization problem
The proposed a moving boundary technique is used to divide the period of the daily load curve, and it is compared with the improved bisecting k-means (IBMs) and the equal step length iteration algorithm (ESL)
Summary
The demand response (DR) program has a significant influence on improving the reliability of electrical distribution system and alleviating the electricity shortage during the peak period [1]–[4]. An optimal TOU electricity pricing model is proposed by minimizing the peak-valley difference, the voltage fluctuation, and the power loss. The contributions of this paper are described as follows: 1) This paper proposes an optimal period partitioning algorithm based on a moving boundary technique, which can satisfy the requirement of the accuracy, and overcome the instability of traditional clustering methods and improve the efficiency of solving optimization problem. 4) This paper defines novel indices of describing the voltage fluctuation and the power loss for considering the impact of TOU strategies on the power quality and the power loss These indices are taken into account in the optimization problem of electricity prices.
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