Optimal wind-thermal coordination dispatch based on risk reserve constraints

European Transactions on Electrical Power

Volumn 21, Issue 1, 2011, Pages 740-756

  Zhou, Wei ^a   Peng, Yu ^a   Sun, Hui ^a  

^a DALIAN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

economic dispatch; interior point method; power system security; spinning reserve; wind power generation

Indexed keywords

DYNAMIC ECONOMIC DISPATCH; ECONOMIC DISPATCH; EFFECT FACTORS; FORCED OUTAGES; GENERATOR SYSTEMS; INEQUALITY CONSTRAINT; INTERIOR-POINT METHOD; LARGE-SCALE WIND POWER; LOAD FORECAST; POWER SYSTEM SECURITY; PRIMAL-DUAL; PROBABILISTIC CONSTRAINTS; RISK THRESHOLD; SPINNING RESERVE; SPINNING RESERVES; SYSTEM RISK; TECHNICAL CONSTRAINTS; THERMAL GENERATION; WIND FARM; WIND SPEED;

CONSTRAINT THEORY; ELECTRIC POWER GENERATION; ELECTRIC UTILITIES; ERRORS; FORECASTING; NORMAL DISTRIBUTION; SCHEDULING; WIND EFFECTS;

WIND POWER;

EID: 79551488582     PISSN: 1430144X     EISSN: 15463109     Source Type: Journal    
DOI: 10.1002/etep.474     Document Type: Article

References (15)

1. Miranda V, Hang PS,. Economic dispatch model with fuzzy wind constraints and attitudes of dispatchers. IEEE Transactions on Power Systems 2005; 20: 2143-2145.
2. Wang LF, Singh C,. Tradeoff between risk and cost in economic dispatch including wind power penetration using particle swarm optimization. International Conference on Power System Technology, Chongqing, China, 2006.
3. Chen CL,. Optimal wind-thermal generating unit commitment. IEEE Transactions on Energy Conversion 2008; 23: 273-280.
4. Siahkali H, Vakilian M,. Electricity generation scheduling with large-scale wind farms using particle swarm optimization. Electric Power Systems Research 2009; 79: 826-836.
5. Lee TY,. Optimal spinning reserve for a wind-thermal power system using EIPSO. IEEE Transactions on Power Systems 2007; 22: 1612-1621.
6. Hetzer J, Yu DC,. An economic dispatch model incorporating wind power. IEEE Transactions on Energy Conversion 2008; 23: 603-611.
7. Jabr RA, Pal BC,. Intermittent wind generation in optimal power flow dispatching. IET Generation, Transmission, and Distribution 2009; 3: 66-74.
8. Sun YZ, Wu J, Li GJ, et al,. Dynamic economic dispatch considering wind power penetration based on wind speed forecasting and stochastic programming. Proceeding of the CSEE 2009; 29: 41-47.
9. Lange M,. On the uncertainty of wind power predictions-analysis of the forecast accuracy and statistical distribution of errors. Journal of Solar Energy Engineering 2005; 127: 177-284.
10. Torres GL, Quintana VH,. An interior point method for nonlinear optimal power flow using voltage rectangular coordinates. IEEE Transactions on Power Systems 1998; 13: 1211-1218.
11. Justus CG, Hargraves WR, Mikhail A, Graber D,. Methods for estimating wind speed frequency distributions. Journal of Applied Meteorology 1978; 17: 350-353.
12. Patel MR,. Wind and Solar Power Systems. CRC Press: Florida, 1999.
13. Zhao M, Chen Z, Blaabjerg F,. Probabilistic capacity of a grid connected wind farm based on optimization method. Renewable Energy 2006; 31: 2171-2187.
14. Doherty R, Malley MO,. A new approach to quantify reserve demand in systems with significant installed wind capacity. IEEE Transactions on Power Systems 2005; 20: 587-595.
15. Attaviriyanupap P, Kita H, Tanaka E, et al,. A hybrid EP and SQP for dynamic economic dispatch with nonsmooth fuel cost function. IEEE Transactions on Power Systems 2002; 17: 411-416.