Nonlinear head-sensitive hydroelectric generation scheduling in competitive electricity market

This paper presents an effective method for solving the nonlinear head-sensitive hydroelectric generation scheduling in competitive electricity market. The algorithm used is developed for solving a class of constrained dynamic optimization problems. First the powerhouse input-output characteristics of hydro power plants are achieved offline. This problem is formulated and solved using mixed-integer linear programming that takes into account both the non-linearity characteristic and the head loss effect. Second the hourly scheduling is solved in order to maximize the hydroelectric power plant profit from selling energy in the spot market or by means of bilateral contracts. This problem, due the nonlinear characteristics of the objective function, is formulated and solved using dynamic programming within mixed-integer programming techniques. The method is applied to a real hydro power plant of the Portuguese utility. Results demonstrate the efficiency and optimality of our method for this application. Also, some operational strategies, according to the objective function nonlinearity, are pointed out.

[1]  Takaaki Ohishi,et al.  Dynamic dispatch of hydro generating units , 2003, 2003 IEEE Bologna Power Tech Conference Proceedings,.

[2]  V.M.F. Mendes,et al.  Scheduling of Head-Sensitive Cascaded Hydro Systems: A Nonlinear Approach , 2009, IEEE Transactions on Power Systems.

[3]  M. R. A. Calado,et al.  Dispatch of Head Dependent Hydro Units: Modeling for optimal generation in electricity market , 2009, 2009 IEEE Bucharest PowerTech.

[4]  Mohammad Shahidehpour,et al.  Electricity Price Forecasting , 2002 .

[5]  Víctor Manuel Fernandes Mendes,et al.  Restructuring models-a comparison based on numerical simulation results , 2000, 2000 Power Engineering Society Summer Meeting (Cat. No.00CH37134).

[6]  A. Borghetti,et al.  An MILP Approach for Short-Term Hydro Scheduling and Unit Commitment With Head-Dependent Reservoir , 2008, IEEE Transactions on Power Systems.

[7]  Víctor Manuel Fernandes Mendes,et al.  Production scheduling: regulation or deregulation-back to a theoretical basis , 2000, DRPT2000. International Conference on Electric Utility Deregulation and Restructuring and Power Technologies. Proceedings (Cat. No.00EX382).

[8]  M.R.A. Calado,et al.  Optimal response of a hydroelectric power plant with bilateral contracts , 2010, Melecon 2010 - 2010 15th IEEE Mediterranean Electrotechnical Conference.

[9]  Secundino Soares,et al.  A network flow model for short-term hydro-dominated hydrothermal scheduling problems , 1994 .

[10]  P. Lautala,et al.  A short-term scheduling for a hydropower plant chain , 1998 .

[11]  Xiaohong Guan,et al.  Scheduling hydrothermal power systems with cascaded and head-dependent reservoirs , 1999 .

[12]  Hong-Chan Chang,et al.  Genetic aided scheduling of hydraulically coupled plants in hydro-thermal coordination , 1996 .

[13]  Luís Ferreira,et al.  Short-term resource scheduling in multi-area hydrothermal power systems , 1989 .

[14]  Joao P. S. Catalao,et al.  Optimising power generation efficiency for head-sensitive cascaded reservoirs in a competitive electricity market , 2008 .

[15]  R. Naresh,et al.  Hydro system scheduling using ANN approach , 2000 .

[16]  Zuyi Li,et al.  Market Operations in Electric Power Systems : Forecasting, Scheduling, and Risk Management , 2002 .

[17]  Zhang Yan,et al.  A review on risk-constrained hydropower scheduling in deregulated power market , 2008 .