Abstract
With the specific characteristics of low-carbon intensity and economy, wind power has been widely promoted around the world. Due to the variable and intermittent nature of wind power production, the system has to frequently redispatch generators in order to ensure the effective use of wind power whilst maintaining system security. In this way, traditional generation costs are increased and the social benefit of wind power decreases indirectly. In this paper, a new regulation strategy based on power flow tracing was proposed, taking advantage of a comfort-constrained demand response strategy to follow the fluctuations of wind farm output, with the remaining imbalance of active power compensated by traditional generators. Examples showed that compared with conventional regulation, demand response could reduce the gross operating costs of the system, and the rapid response could help maintaining system stability in case of contingency. The strategy in this paper also applies to other large-scale integration problems associated with renewable energy resources which display short-term production variability.
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References
Zhang L Y, Ye T L, Xin Y Z, et al. Problems and measures of power grid accommodating large scale wind power (in Chinese). Proc CSEE, 2010, 30(25): 1–9
Lei Y Z, Wang W S, Yin Y H, et al. Analysis of wind power value to power system operation (in Chinese). Power Sys Technol, 2002, 26(5): 10–14
Yuan T J, Chao Q, Li Y Y, et al. Short-term wind power output forecasting model for economic dispatch of power system incorporating large-scale wind farm (in Chinese). Proc CSEE, 2010, 30(13): 23–27
Lei Y Z, Wang W S, Yin Y H, et al. An optimization method for determining wind power penetration limit in power system under static security constraints (in Chinese). Proc CSEE, 2001, 21(6): 25–29
Yuan T J, Chao Q, Yibulayin T, et al. Optimized economic and environment-friendly dispatching modeling for large-scale wind power integration (in Chinese). Proc CSEE, 2010, 30(31): 7–13
Chen N, Yu J L. Active power dispatch and regulation of wind power system based on electrical dissecting information of electric power network (in Chinese). Proc CSEE, 2008, 28(16): 51–58
Mu Y F, Jia H J. An approach to determining the local boundaries of voltage stability region with wind farms in power injection space. Sci China Tech Sci. 2010, 53(12): 3232–3240
Affonso C M, da Silva L C P. Potential benefits of implementing load management to improve power system security. Elec Power Energy Sys, 2010, 32: 704–710
Lu N, Nguyen T. Grid friendly appliances —Load-side solution for congestion management. Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference, Dallas, 2006. 1269–1273
Armstrong P, Norford L. Analysis and field test of semi-automated load-shedding in LA County test building. Massachusetts Institute of Technology Report, 2003
Heffner G, Goldman C, Kirby B, et al. Loads providing ancillary services: Review of international experience. Lawrence Berkeley National Laboratory Report, No. 62701, 2007
Callaway D. Achieving controllability of electric loads. Proc IEEE, 2011, 99(1): 184–199
Mortensen R, Haggerty K. A stochastic computer model for heating and cooling loads. IEEE Trans Power Sys, 1988, 3(3): 1213–1219
Callaway D. Tapping the energy storage potential in electric loads to deliver load following and regulation, with application to wind energy. Energy Conver Manage, 2009, 50(9): 184–199
Parkinson S, Wang D, Crawford C, et al. Comfort-constrained distributed heat pump management. Proceedings of International Conference on Smart Grid and Clean Energy Technologies (ICSGCE 2011), Chengdu, China, 2011. 859–855
Zhao J L, Zhao J, Jia H J, et al. Interface power control method based on power flow tracing and generator re-dispatch (in Chinese). Autom Elec Power Sys, 2009, 33(6): 16–20
Wei W, Zhang Z H, Jia H J, et al. A voltage stability control method based on power flow tracing (in Chinese). Proc CSEE, 2008, 28(1): 1–5
Xiao C Y, Wang N B, Ding K, et al. System power regulation scheme for Jiuquan wind power base (in Chinese). Proc CSEE, 2010, 30(10): 1–7
Wan Y H. Wind power plant behaviors: Analyses of long-term wind power data. National Renewable Energy Laboratory (NREL) Report, USA, Sept, 2004
Hammerstrom D J, Brous J, Carlon T A, et al. Pacific Northwest GridWise™ test bed demonstration projects: Part II. Grid Friendly™ appliance project. Pacific Northwest National Laboratory (PNNL) Report, No. 17079, Oct, 2007
IEA, OECD. The power to choose: demand response in liberalised electricity markets. IEA/OECD, Paris, 2003
Widergren S E. Demand or request: will load behave. Proceedings of IEEE Power and Energy Society General Meeting (PES’09), Calgary, 2009
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Miao, W., Jia, H., Wang, D. et al. Active power regulation of wind power systems through demand response. Sci. China Technol. Sci. 55, 1667–1676 (2012). https://doi.org/10.1007/s11431-012-4844-3
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DOI: https://doi.org/10.1007/s11431-012-4844-3