In this paper, peak load shaving is modeled mathematically through storing energy on demand side and solved using optimization method. Using the results obtained from solving the optimization problem, a simple effective algorithm is proposed for peak load shaving via real-time scheduling of distributed battery storage systems without
Energy storage (ES) can mitigate the pressure of peak shaving and frequency regulation in power systems with high penetration of renewable energy (RE) caused by uncertainty and inflexibility. However, the demand for ES capacity to enhance the peak shaving and frequency regulation capability of power systems with high penetration of RE has not
The purpose of this study was to conduct a multi-criteria decision making (MCDM) approach to prioritize selected sub-distributive substations of Tehran for peak shaving, curve leveling, and economic criteria using battery storage. Also, the Shannon entropy weighting method and SAW implementation method were implemented.
Peak shaving reduces the consumption of power from the grid at peak times. In addition, ESS location and technology maintain a high power factor due to the reduction in the reactive power drawn from the utility grid.
The results show that the molten salt heat storage auxiliary peak shaving system improves the flexibility of coal-fired units and can effectively regulate unit output; The combination of high-temperature molten salt and low-temperature molten salt heat storage effectively overcomes the problem of limited working temperature of a single type of
Sayadi, M., Mamipour, S., & Talebi, H. (2020). Prioritization of Tehran''s Distribution Power Posts in Using of Battery Storage to Peak Shaving and Load Curve Leveling: A Multi-Criteria Decision Making (MCDM) Approach. Iranian Energy Economics, 10(37), 99-128. doi: 10.22054/jiee.2022.58199.1817
Mohamad Sayadi; Siab Mamipour; Hoda Talebi. "Prioritization of Tehran''s Distribution Power Posts in Using of Battery Storage to Peak Shaving and Load Curve Leveling: A Multi-Criteria Decision Making (MCDM) Approach", Iranian Energy Economics, 10, 37, 2020, 99-128. doi: 10.22054/jiee.2022.58199.1817
Sayadi, M., Mamipour, S., Talebi, H. (2020). ''Prioritization of Tehran''s Distribution Power Posts in Using of Battery Storage to Peak Shaving and Load Curve Leveling: A Multi-Criteria Decision Making (MCDM) Approach'', Iranian Energy Economics, 10(37), pp. 99-128. doi: 10.22054/jiee.2022.58199.1817
Sayadi, M., Mamipour, S., Talebi, H. Prioritization of Tehran''s Distribution Power Posts in Using of Battery Storage to Peak Shaving and Load Curve Leveling: A Multi-Criteria Decision Making (MCDM) Approach. Iranian Energy Economics, 2020; 10(37): 99-128. doi: 10.22054/jiee.2022.58199.1817
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