PDF(764 KB)
Risk-Benefit Assessment of Medium and Long-Term Power Generation Plan Considering Wind-Hydro-Gas Complementary
BI Pingping
Electric Power Construction ›› 2016, Vol. 37 ›› Issue (3) : 105-111.
PDF(764 KB)
PDF(764 KB)
Risk-Benefit Assessment of Medium and Long-Term Power Generation Plan Considering Wind-Hydro-Gas Complementary
The coordination of multiple power units for power generation companies could achieve the overall optimization of operational efficiency. Under market conditions, it is more important to achieve dual goals of risk and benefit for generation plan. Based on the goals of increasing the capacity of power generation schedule and increasing enterprise' value hedge, this paper studies the risk-benefit assessment for the medium and long-term plan of wind-hydro-gas complementary power generation. Firstly, with the mixed integer programming and stochastic programming theory, we construct the objective function of the stochastic programming model for medium and long-term power generation plan and unit operating constraints, in which the wind-power and water-power switch equation constraints are especially constructed. Secondly, based on the market rules conditions of bilateral contract market and financial risk, we design the model constraints for the coordination of power generation units and risk mitigation strategies. Then, we design the model algorithm process and solution based on Lagrange multiplier. Finally, with a cooperation-operation generation plan example of three types of power units, we simulate and calculate different power generation plans in Monte Carlo scenarios. The example verifies the feasibility of stochastic programming model, which can optimize the power generation schedule of and unit coordination ability in the uncertain environment and market conditions, and help companies develop reasonable benefit expectations and effectively avoid risks.
risk decision-making / benefit assessment / multi-source complementary / bilateral contract
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Project supported by National Natural Science Foundation of China(71271082)
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