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http://dx.doi.org/10.7471/ikeee.2021.25.2.388

Particle Swarm Optimization-Based Peak Shaving Scheme Using ESS for Reducing Electricity Tariff  

Park, Myoung Woo (Dept. of Computer Engineering, Korea University of Technology and Education)
Kang, Moses (Dept. of Electrical Engineering, Korea Institute of Energy Research)
Yun, YongWoon (Dept. of Computer Engineering, Korea University of Technology and Education)
Hong, Seonri (Dept. of Electrical Engineering, Korea Institute of Energy Research)
BAE, KUK YEOL (Dept. of Electrical Engineering, Korea Institute of Energy Research)
Baek, Jongbok (Dept. of Electrical Engineering, Korea Institute of Energy Research)
Publication Information
Journal of IKEEE / v.25, no.2, 2021 , pp. 388-398 More about this Journal
Abstract
This paper proposes a particle swarm optimization (PSO)-based peak shaving scheme using energy storage system (ESS) for electricity tariff reduction. The proposed scheme compares the actual load with the estimated load consumption, calculates the additional output power that the ESS needs to discharge additionally to reduce peak load, and adds the input. In addition, in order to compensate for the additional power, the process of allocating power to the determined point is performed, and an optimization that minimizes the average of the load expected at the active power allocations using PSO so that the allocated value does not affect the peak load. To investigated the performance of the proposed scheme, case study of small and large load prediction errors was conducted by reflecting actual load data and load prediction algorithm. As a result, when the proposed scheme is performed with the ESS charge and discharge control to reduce electricity tariff, even when the load prediction error is large, the peak load is successfully reduced, and the peak load reduction effect of 17.8% and electricity tariff reduction effect of 6.02% is shown.
Keywords
Peak shaving; Electricity tariff saving; particle swarm optimization; energy storage system; peak load reduction;
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