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http://dx.doi.org/10.14400/JDC.2019.17.7.131

Solar ESS Peak-cut Simulation Model for Customer  

Park, Seong-Hyeon (Industrial engineering, Ajou University)
Lee, Gi-Hyun (Industrial engineering, Ajou University)
Chung, Myoung-Sug (Industrial engineering, Ajou University)
Chae, U-ri (Industrial engineering, Ajou University)
Lee, Joo-Yeuon (Industrial engineering, Ajou University)
Publication Information
Journal of Digital Convergence / v.17, no.7, 2019 , pp. 131-138 More about this Journal
Abstract
The world's electricity production ratio is 40% for coal, 20% for natural gas, 16% for hydroelectric power, 15% for nuclear power and 6% for petroleum. Fossil fuels also cause serious problems in terms of price and supply because of the high concentration of resources on the earth. Solar energy is attracting attention as a next-generation eco-friendly energy that will replace fossil fuels with these problems. In this study, we test the charge-operation plan and the discharge operation plan for peak-cut operation by applying the maximum power demand reduction simulation. To do this, we selected the electricity usage from November to February, which has the largest amount of power usage, and applied charge / discharge logic. Simulation results show that the contract power decreases as the peak demand power after the ESS Peak-cut service is reduced to 50% of the peak-target power. As a result, the contract power reduction can reduce the basic power value of the customer and not only the economic superiority can be expected, but also contribute to the improvement of the electric quality and stabilization of the power supply system.
Keywords
Solar power; ESS; Peak-cut; Simulation; Customer;
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Times Cited By KSCI : 6  (Citation Analysis)
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1 S. Yoon, J. Kwon, J. Park & S. Choi. (2011). Indirect current control for seamless transfer of three-phase utility interactive inverters. IEEE Transactions on Power Electronics, 27(2), 773-781. DOI : 10.1109/APEC.2011.5744661   DOI
2 S. Yu. (2018). 2030 Greenhouse Gas Reduction Roadmap and Power Sector Response. Journal of Electrical World Monthly Magazine. 20-26.
3 J. S. Kim & U. J. Lee. (2009). Best Practices Research Use of Solar Energy For Low Carbon Green City. The Korean Solar Energy Society, 29(1), 37-42.
4 K. S, Ahn, S. T. Lee & Y. S. Oh. (2018). Development of the Modular PCS for ESS with Hot-swap Function. Journal of the Korea Convergence Society, 9(3), 31-37. DOI : 10.15207/JKCS.2018.9.3.031   DOI
5 K. I. Song. (2012). Current Status and Prospect of PV Power Industry in RPS. The Korean Society of Mechanical Engineers, 52(3), 42-46.
6 G. J. You & K, Y, Park. (2003). Current status and prospects of future energy and photovoltaic technology. The Korean Society of Mechanical Engineers, 43(10), 41-47.
7 H. Y. Kim. (2010). A Study on the Improvement of the Accuracy of Photovoltaic Facility Location Using the Geostatistical Analysis. Journal of the Korean Association of Geographic Information Studies, 13(2), 146-156   DOI
8 K, H. Lee, H. G. Son & S. Y. Kim, (2018). A study on solar energy forecasting based on time series models. Korean Journal of Applied Statistics, 31(1), 139-159. DOI : 10.5351/KJAS.2018.31.1.139.   DOI
9 R. Hanna, J. Kleissl, A. Nottrott & M. Ferry (2014). Energy dispatch schedule optimization for demand charge reduction using a photovoltaic-battery storage system with solar forecasting. Solar Energy, 103, 269-287 DOI : 10.1016/j.solener.2014.02.020   DOI
10 S. M. Park, C. S. Kim,L. D. Vuong, M. W. Park & I. K. Yu. (2016). Design of a Photovoltaic PCS with Compensation Control of Reactive Power and Unbalance Current in Three-phase systems. Jounal of the Korea Industrial Information Systems, 21(3), 29-33. DOI : 10.9723/jksiis.2016.21.3.029   DOI
11 M. H. Kwon, S. H. Yang, H. J. Kim, S. W. Choi, D. W. Hwang, D. J. Lee & S. M. Paik (2015). A PCS Control Strategy for Hybrid ESS with Function of Emergency Power Supply. The Korean Institute of Power Electronics, 21(3), 403-404.
12 C. Yao, M. Chen & Y. Hong, (2018). Novel Adaptive Multi-Clustering Algorithm-Based Optimal ESS Sizing in Ship Power System Considering Uncertainty. IEEE Transactions on Power Systems, 33(1), 307-316, DOI : 10.1109/TPWRS.2017.2695339   DOI
13 H. T. Kim & S. S. Jhang. (2018). Key Technologies for Stabilization of Power System for Successful Achievement of 3020 Renewable Energy Policy. The Transactions of the Korean Institute of Electrical Engineers, 67(2), 149-157. DOI : 10.5370/KIEE.2018.67.2.149   DOI
14 J. H. Lee, I. S. Lee, K. S. Jung, B. H. Chae, & J. Y. Lee (2017). Patents and Papers Trends of Solar-Photovoltaic(PV) Technology using LDA Algorithm. The Society of Digital Policy & Management, 15(9), 231-239. DOI : 10.14400/JDC.2017.15.9.231.
15 J. W. Lim, D. H. Han, S. W. Kim, C. H. Ban, & J. M. Choi (2012). PV System with Battery Storage using Peak-cut Algorithm. The Korean Institute of Power Electronics Proceeding, 2012(11), 135-136.