Frequency response analysis using automated tools and synchronized measurements

IEEE Power and Energy Society General Meeting

Volumn 2016-November, Issue , 2016, Pages

  Quint, R D ^a   Etingov, P V ^b   Zhou, D ^c   Kosterev, D N ^d  

^a NERC   (United States)

^b PACIFIC NORTHWEST NATIONAL LABORATORY   (United States)

^c UNIVERSITY OF TENNESSEE   (United States)

^d BPA   (United States)

Author keywords

Balancing Authority; Frequency Monitoring Network; Frequency Response; Interconnection; Phasor Measurement Unit

Indexed keywords

PHASE MEASUREMENT; PHASOR MEASUREMENT UNITS; UNITS OF MEASUREMENT;

COMPREHENSIVE ANALYSIS; DEPARTMENT OF ENERGY; FREQUENCY MONITORING NETWORKS; FREQUENCY RESPONSE ANALYSIS; HIGH RESOLUTION DATA; INTERCONNECTION; SYNCHRONIZED MEASUREMENT; SYNCHRONIZED PHASOR MEASUREMENTS;

FREQUENCY RESPONSE;

EID: 85001783824     PISSN: 19449925     EISSN: 19449933     Source Type: Conference Proceeding    
DOI: 10.1109/PESGM.2016.7741441     Document Type: Conference Paper

References (15)

1. R. Bjorgan, Chen-Ching Liu and J. Lawarree Financial risk management in a competitive electricity market, IEEE Trans. Power Syst., vol. 14, no. 4, Aug. 1999.
2. J. M. Arroyo, A. J. Conejo, Optimal response of a thermal unit to an electricity spot market, IEEE Trans. Power Syst., vol. 15, no. 3, pp. 1098-1104, 2000.
3. M. A. Plazas, A. J. Conejo, F. J. Prieto, Multimarket optimal bidding for a power producer, IEEE Trans. Power Syst., vol. 20, no. 4, pp. 2041-2050, 2005.
4. T. Li, M. Shahidehpour, Z. Li, Risk-constrained bidding strategy with stochastic unit commitment, IEEE Trans. Power Syst., vol. 22, no. 1, pp. 449-458, 2007.
5. Y. Ben-Haim, Information Gap Decision Theory: Decisions under Severe Uncertainty, Academic Press, San Diego, CA, 2006.
6. K. Zare, M. P. Moghaddam and M. K. Sheikh-El-Eslami, Risk-based electricity procurement for large consumers, IEEE Trans. Power Syst., vol. 26, no. 4, pp. 1826-1835, 2011.
7. A. R. Soroudi, M. Ehsan, IGDT based robust decision making tool for DNOs inload procurement under severe uncertainty, IEEE Trans. Smart Grid vol. 4, no. 2, pp. 886-895, 2013.
8. S. Nojavan, K. Zare, Risk-based optimal bidding strategy of generation company in day-ahead electricity market using information gap decision theory, Int. J. Electr. Power Energy Syst., vol. 48, pp. 83-92, 2013.
9. P. Mathuria, R. Bhakar, Info-Gap approach to manage GenCo's trading portfolio with uncertain market returns, IEEE Trans. Power Syst., vol. 29, no. 6, pp. 2916-2925, 2014.
10. P. Mathuria and R. Bhakar, GenCo's integrated trading decision making to manage multimarket uncertainties, IEEE Trans. Power Syst., vol. 30, no. 3, pp. 1465-1474, 2015.
11. K. Zare, A. J. Conejo, M. Carrion, M. K. Sheikh-El-Eslami, Multi-market energy procurement for a large consumer using a risk-aversion procedure, Electric Power Syst. Res., vol. 80, pp. 63-70, 2010.
12. B. Mohammadi-Ivatloo, H. Zareipour, N. Amjady and M. Ehsan, Application of information-gap decision theory to risk-constrained self-scheduling of Gencos, IEEE Trans. Power Syst., vol. 28, no. 2, pp. 1093-1102, 2013.
13. PJM Electricity Market, http://www. pjm. com, accessed October 2015.
14. The MATLAB software website, 2015, [Online] available: www. mathworks. com/access/helpdesk/help/techdoc/ref/cov. html.
15. The GAMS website, 2015, [Online] available: http://www. gams. com/dd/docs/solvers/sbb. pdf.