Zhang, Y., Zhang, X., Li, Q., et al. (2014). Gray theory based energy saving potential evaluation and planning for distribution networks [J]. International Journal of Electrical Power & Energy Systems, 57, 298–303.
Article
Google Scholar
Feng, L., Zhang, J., Li, G., et al. (2016). Cost reduction of a hybrid energystorage system considering correlation between wind and PV power [J]. Protection Control Modern Power Systems, 1(1), 11.
Article
Google Scholar
Koziolek, A., Avritzer, A., Suresh, S., et al. (2016). Assessing survivability to support power grid investment decisions [J]. Reliability Engineering and System Safety, 155, 30–43.
Article
Google Scholar
Limmeechokchai, B., & Chungpaibulpatana, S. (2001). Application of cool storage air-conditioning in the commercial sector: An integrated resource planning approach for power capacity expansion planning and emission reduction [J]. Applied Energy, 68(3), 289–300.
Article
Google Scholar
Ashok, S., & Banerjee, R. (2003). Optimal cool storage capacity for load management [J]. Energy, 28(2), 115–126.
Article
Google Scholar
Fathabadi, H. (2015). Utilization of electric vehicles and renewable energy sources used as distributed generators for improving characteristics of electric power distribution systems [J]. Energy, 90, 1100–1110.
Article
Google Scholar
Vera, S., Bernal, F., & Sauma, E. (2013). Do distribution companies loose money with an electricity flexible tariff?: A review of the Chilean case [J]. Energy, 55, 295–303.
Article
Google Scholar
An, X. H., Ouyang, S., Feng, T. R., et al. (2016). Optimized design method and application of benchmark of theoretical loss rate of medium-voltage lines (in Chinese) [J]. Power System Technology, 40(1), 199–206.
Google Scholar
Yang, W. H., Liu, H., Wang, Z., et al. (2012). Study on evaluation index system of equipment utilization on distribution network[C]// Innovative Smart Grid Technologies - Asia. IEEE, 1:1–5.
Luo, F., Wang, C., Xiao, J., et al. (2010). Rapid evaluation method for power supply capability of urban distribution system based on N-1 contingency analysis of main-transformers [J]. International Journal of Electrical Power & Energy Systems, 32(10), 1063–1068.
Article
Google Scholar
EIA. Electric power annual 2015. Energy Information Administration; 2015. Available at: <http://www.eia.gov/electricity/annual/pdf/epa.pdf>.
Li, X. R., Liu, Y. Q., Zhu, X. Y., et al. (2006). Study on capacity-load ratio of medium-voltage distribution network (in Chinese) [J]. Power System Protection and Control, 34(7), 47–50.
Google Scholar
Li, Z. K., Liu, D. W., Wei, C. F., et al. (2012). Optimal capacity-load-ratio research of the multi-voltage distribution network [J]. Advances in Materials Research, 614-615, 733–742.
Article
Google Scholar
Hu, Z. L., Zhang, Y. J., Li, C. B., et al. (2015). Utilization efficiency of electrical equipment within life cycle assessment: Indexes, analysis and a case [J]. Energy, 88, 885–896.
Article
Google Scholar
Hellweg, S., Milà, i., & Canals, L. (2014). Emerging approaches, challenges and opportunities in life cycle assessment [J]. Science, 344(6188), 1109–1113.
Article
Google Scholar
Kalkhambkar, V., Kumar, R., & Bhakar, R. (2016). Energy loss minimization through peak shaving using energy storage [J]. Perspectives in Science, 8, 162–165.
Article
Google Scholar
Lucas, A., & Chondrogiannis, S. (2016). Smart grid energy storage controller for frequency regulation and peak shaving, using a vanadium redox flow battery [J]. International Journal of Electrical Power & Energy Systems, 80, 26–36.
Article
Google Scholar
Yu H, Duan J, Du W, et al. (2017). China's energy storage industry: Develop status, existing problems and countermeasures [J]. Renewable and Sustainable Energy Reviews, 71:767–784.
Wang, X., Dennis, M., & Hou, L. (2014). Clathrate hydrate technology for cold storage in air conditioning systems [J]. Renewable and Sustainable Energy Reviews, 36, 34–51.
Article
Google Scholar
Arcuri, B., Spataru, C., & Barrett, M. (2017). Evaluation of ice thermal energy storage (ITES) for commercial buildings in cities in Brazil [J]. Sustainable Cities & Society, 29, 178–192.
Article
Google Scholar
Sanaye, S., & Hekmatian, M. (2016). Ice thermal energy storage (ITES) for air-conditioning application in full and partial load operating modes [J]. International Journal of Refrigeration, 66, 181–197.
Article
Google Scholar
Zhai, X. Q., Wang, X. L., Wang, T., et al. (2013). A review on phase change cold storage in air-conditioning system: Materials and applications [J]. Renewable and Sustainable Energy Reviews, 22(8), 108–120.
Article
Google Scholar
Sebzali, M. J., Ameer, B., & Hussain, H. J. (2014). Comparison of energy performance and economics of chilled water thermal storage and conventional air-conditioning systems [J]. Energy and Buildings, 69, 237–250.
Article
Google Scholar
Upshaw, C. R., Rhodes, J. D., & Webber, M. E. (2015). Modeling peak load reduction and energy consumption enabled by an integrated thermal energy and water storage system for residential air conditioning systems in Austin, Texas [J]. Energy and Buildings, 97, 21–32.
Article
Google Scholar
Boait P J, Snape J R, Darby S J, et al. (2016). Making Legacy Thermal storage heating fit for the smart grid [J]. Energy &Buildings, 138:630–640.
Zhang, N., Lu, X., Mcelroy, M. B., et al. (2016). Reducing curtailment of wind electricity in China by employing electric boilers for heat and pumped hydro for energy storage [J]. Applied Energy, 184, 987–994.
Article
Google Scholar
Wong, S., & Pinard, J. P. (2017). Opportunities for smart electric thermal storage on electric grids with renewable energy [J]. IEEE Transactions on Smart Grid, 8(2), 1014–1022.
Google Scholar
Huang, X., Alva, G., Jia, Y., et al. (2017). Morphological characterizationand applications of phase change materials in thermal energy storage: A review [J]. Renewable and Sustainable Energy Reviews, 72, 128–145.
Article
Google Scholar
Al-Abidi, A. A., Mat, S. B., Sopian, K., et al. (2012). Review of thermal energy storage for air conditioning systems [J]. Renewable and Sustainable Energy Reviews, 16(8), 5802–5819.
Article
Google Scholar
Arteconi, A., Hewitt, N. J., & Polonara, F. (2012). State of the art of thermal storage for demand-side management [J]. Applied Energy, 93(5), 371–389.
Article
Google Scholar
Rismanchi, B., Saidur, R., Boroumandjazi, G., et al. (2012). Energy, exergy and environmental analysis of cold thermal energy storage (CTES) systems [J]. Renewable and Sustainable Energy Reviews, 16(8), 5741–5746.
Article
Google Scholar
Sun, Y., Wang, S., Xiao, F., et al. (2013). Peak load shifting control using different cold thermal energy storage facilities in commercial buildings: A review [J]. Energy Conversion and Management, 71(3), 101–114.
Article
Google Scholar
Kumar V, Hewage K, Haider H, et al. (2017). Sustainability evaluation framework for building cooling systems: a comparative study of snow storage and conventional chiller systems [J]. Clean Technologies and Environmental Policy, 19(1):137–155.
Morales, D. X., Besanger, Y., Sami, S., et al. (2017). Assessment of the impact of intelligent DSM methods in the Galapagos Islands toward a smart grid [J]. Electric Power Systems Research, 146, 308–320.
Article
Google Scholar
Dong, J., Xue, G., & Li, R. (2016). Demand response in China: Regulations, pilot projects and recommendations - a review [J]. Renewable and Sustainable Energy Reviews, 59, 13–27.
Article
Google Scholar
Bae, S., & Kwasinski, A. (2012). Spatial and temporal model of electric vehicle charging demand [J]. IEEE Transactions on Smart Grid, 3(1), 394–403.
Article
Google Scholar
Ma, Y., Houghton, T., Cruden, A., et al. (2012). Modeling the benefits of vehicle-to-grid technology to a power system [J]. IEEE Transactions on Power Apparatus and Systems, 27(2), 1012–1020.
Article
Google Scholar
Su, W. C., Eichi, H., Zeng, W. T., et al. (2012). A survey on the electrification of transportation in a smart grid environment [J]. IEEE Transactions on Industrial Informatics, 8(1), 1–10.
Article
Google Scholar
Habib, S., Kamran, M., & Rashid, U. (2015). Impact analysis of vehicle-to-grid technology and charging strategies of electric vehicles on distribution networks - a review [J]. Journal of Power Sources, 277, 205–214.
Article
Google Scholar
Darabi, Z., & Ferdowsi, M. (2011). Aggregated impact of plug-in hybrid electric vehicles on electricity demand profile [J]. IEEE Transactions on Sustainable Energy, 2(4), 501–508.
Article
Google Scholar
Shareef, H., Islam, M., & Mohamed, A. (2016). A review of the stage-of-the-art charging technologies, placement methodologies, and impacts of electric vehicles [J]. Renewable and Sustainable Energy Reviews, 64, 403–420.
Article
Google Scholar
Ehsani, M., Milad Falahi, M., & Lotfifard, S. (2012). Vehicle to grid services: Potential and applications [J]. Energies, 5(10), 4076–4090.
Article
Google Scholar
Drude, L., Pereira Junior, L. C., & Rüther, R. (2014). Photovoltaics (PV) and electric vehicle-to-grid(V2G)strategies for peak demand reduction in urban regions in Brazil in a smart grid environment [J]. Renewable Energy, 68, 443–451.
Article
Google Scholar
Ma, Z., Callaway, D. S., & Hiskens, I. A. (2013). Decentralized charging control of large populations of plug-in electric vehicles [J]. IEEE Transactions on Control Systems Technology, 21(1), 67–78.
Article
Google Scholar
Michael CW Kintner-Meyer, Kevin P. Schneider, Robert G. Pratt. (2007). Impacts assessment of plug-in hybrid vehicles on electric utilities and regional US power grids: Part 1: Technical analysis [J]. Online Journal of Euec Paper, 1:01–19.
Sortomme, E., & El-Sharkawi, M. A. (2012). Optimal scheduling of vehicle-to-grid energy and ancillary services [J]. IEEE Transactions on Smart Grid, 3(1), 351–359.
Article
Google Scholar
Kempton, W., & Tomić, J. (2005). Vehicle-to-grid power implementation: From stabilizing the grid to supporting large-scale renewable energy [J]. Journal of Power Sources, 144(1), 280–294.
Article
Google Scholar
Borba, B. S. M. C., Szklo, A., & Schaeffer, R. (2012). Plug-in hybrid electric vehicles as a way to maximize the integration of variable renewable energy in power systems: The case of wind generation in northeastern Brazil [J]. Energy, 37(1), 469–481.
Article
Google Scholar
Zeng, M., Leng, S., Maharjan, S., et al. (2015). An incentivized auction-based group-selling approach for demand response management in V2G systems [J]. IEEE Transactions on Industrial Informatics, 11(6), 1554–1563.
Article
Google Scholar
Singh, B., & Sharma, J. (2017). A review on distributed generation planning [J]. Renewable and Sustainable Energy Reviews, 76, 529–544.
Article
Google Scholar
Vyas, S., Kumar, R., & Kavasseri, R. (2017). Data analytics and computational methods for anti-islanding of renewable energy based distributed generators in power grids [J]. Renewable and Sustainable Energy Reviews, 69, 493–502.
Article
Google Scholar
Singh B, Pal C, Mukherjee V, et al. (2016). Distributed generation planning from power system performances viewpoints: A taxonomical survey [J]. Renewable and Sustainable Energy Reviews, 75:1472–1492.
Li, H., Eseye, A. T., Zhang, J., et al. (2017). Optimal energy management for industrial microgrids with high-penetration renewables [J]. Protection & Control of Modern Power Systems, 2(1), 12.
Article
Google Scholar
Yang, L., Dong, C. W., Johnny Wan, C. L., et al. (2013). Electricity time-of-use tariff with consumer behavior consideration [J]. International Journal of Production Economics, 146(2), 402–410.
Article
Google Scholar
Mohajeryami, S., Moghaddam, I. N., Doostan, M., et al. (2016). A novel economic model for price-based demand response [J]. Electric Power Systems Research, 135, 1–9.
Article
Google Scholar
Srinivasan, D., Rajgarhia, S., Radhakrishnan, B. M., et al. (2017). Game-theory based dynamic pricing strategies for demand side management in smart grids [J]. Energy, 126, 132–143.
Article
Google Scholar
Khan, A. R., Mahmood, A., Safdar, A., et al. (2016). Load forecasting, dynamic pricing and DSM in smart grid: A review [J]. Renewable and Sustainable Energy Reviews, 54, 1311–1322.
Article
Google Scholar
Wang, F., Xu, H., Xu, T., et al. (2017). The values of market-based demand response on improving power system reliability under extreme circumstances [J]. Applied Energy, 193, 220–231.
Article
Google Scholar
Haider, H. T., See, O. H., & Elmenreich, W. (2016). A review of residential demand response of smart grid [J]. Renewable and Sustainable Energy Reviews, 59, 166–178.
Article
Google Scholar
Friess, W. A., & Rakhshan, K. (2017). A review of passive envelope measures for improved building energy efficiency in the UAE [J]. Renewable and Sustainable Energy Reviews, 72, 485–496.
Article
Google Scholar
Matar, W. (2017). A look at the response of households to time-of-use electricity pricing in Saudi Arabia and its impact on the wider economy [J]. Energy Strategy Reviews, 16, 13–23.
Article
Google Scholar
Kilkki, O., Alahaivala, A., & Seilonen, I. (2015). Optimized control of price-based demand response with electric storage space heating [J]. IEEE Transactions on Industrial Informatics, 11(1), 281–288.
Article
Google Scholar
Dehnavi, E., & Abdi, H. (2016). Optimal pricing in time of use demand response by integrating with dynamic economic dispatch problem [J]. Energy, 109, 1086–1094.
Article
Google Scholar
Kamyab, F., & Bahrami, S. (2016). Efficient operation of energy hubs in time-of-use and dynamic pricing electricity markets [J]. Energy, 106(1), 343–355.
Article
Google Scholar
Zeng, Y. J., & Sun, Y. G. (2015). Short-term scheduling of steam power system in Iron and steel industry under time-of-use power price [J]. Journal of Iron and Steel Research International, 22(9), 795–803.
Article
Google Scholar
Wang, Y., & Li, L. (2015). Time-of-use electricity pricing for industrial customers: A survey of U.S. utilities [J]. Applied Energy, 149, 89–103.
Article
Google Scholar
Dong, J., Zhang, X. H., Li, C. X., et al. (2016). Optimal TOU pricing strategy considering user satisfaction in automated demand response background [J]. Electric Power Automation Equipment, 36(7), 67–73.
Google Scholar