{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T01:12:24Z","timestamp":1760231544531,"version":"build-2065373602"},"reference-count":28,"publisher":"MDPI AG","issue":"19","license":[{"start":{"date-parts":[[2022,9,21]],"date-time":"2022-09-21T00:00:00Z","timestamp":1663718400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Natural Science Foundation of Hunan Province of China","award":["2022JJ30214"],"award-info":[{"award-number":["2022JJ30214"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Application of sensors in the smart grid has promoted the development of demand side management (DSM). However, the incentives of DSM such as peak\u2013valley time-of-use (TOU) price will change the load pattern in the future; the substation capacity sizing will be further influenced accordingly. This paper proposes a substation capacity sizing method in distribution network considering DSM and establishes a peak-valley TOU pricing method based on the cost\u2013benefit analysis of each participant in the TOU price. Compared with the conventional fixed peak\u2013valley ratio, a dynamic division method is proposed to calculate the optimal pull-off ratio for the TOU pricing. By considering the proposed TOU pricing method, a substation capacity sizing model for the distribution network is further proposed. Finally, the economic benefits of the two substation capacity sizing schemes are compared and evaluated according to the selected economic indicators. The results of the case study demonstrate that under the premise of reasonable pricing, considering the impact of TOU on substation capacity sizing, the construction investment and the user cost of power supply companies can be saved while meeting the power demand. The economy and rationality of the planning scheme have been significantly improved.<\/jats:p>","DOI":"10.3390\/s22197173","type":"journal-article","created":{"date-parts":[[2022,9,22]],"date-time":"2022-09-22T23:07:55Z","timestamp":1663888075000},"page":"7173","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["The Optimal Sizing of Substation Capacity in a Distribution Network, Considering a Dynamic Time-of-Use Pricing Mechanism"],"prefix":"10.3390","volume":"22","author":[{"given":"Dajun","family":"Xu","sequence":"first","affiliation":[{"name":"State Grid Ningbo Yinzhou Power Supply Company, Ningbo 315000, China"}]},{"given":"Qiang","family":"Fu","sequence":"additional","affiliation":[{"name":"State Grid Ningbo Yinzhou Power Supply Company, Ningbo 315000, China"}]},{"given":"Lun","family":"Ye","sequence":"additional","affiliation":[{"name":"College of Electrical and Information Engineering, Hunan University, Changsha 410082, China"}]},{"given":"Wenyu","family":"Lin","sequence":"additional","affiliation":[{"name":"State Grid Ningbo Yinzhou Power Supply Company, Ningbo 315000, China"}]},{"given":"Yuzhou","family":"Qian","sequence":"additional","affiliation":[{"name":"State Grid Ningbo Yinzhou Power Supply Company, Ningbo 315000, China"}]},{"given":"Kebo","family":"Zhang","sequence":"additional","affiliation":[{"name":"State Grid Ningbo Yinzhou Power Supply Company, Ningbo 315000, China"}]},{"given":"Jiangang","family":"Yao","sequence":"additional","affiliation":[{"name":"College of Electrical and Information Engineering, Hunan University, Changsha 410082, China"}]}],"member":"1968","published-online":{"date-parts":[[2022,9,21]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"675","DOI":"10.1109\/TSG.2014.2377020","article-title":"Integrated Demand Side Management Game in Smart Energy Hubs","volume":"6","author":"Aras","year":"2015","journal-title":"IEEE Trans. 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