摘要
依据发电企业既要服从电网调度又要追求自身效益的特点,建立了两个考虑峰谷分时电价因子的梯级短期调度模型,并选用逐次优化和逐步逼近的混合算法(POA-DPSA)求解。该模型简单,算法易于实现。将该理论应用于电站实际演算中,结果表明这两个优化模型对促进电网的安全、提高企业发电效益具有较高的应用价值。
Aimed at the character that power enterprises should not only obey electric network dispatching, but also pursue its own maximum benefit, two short-term optimization regulation models for cascade reservoir under electricity rates of peak-and-valley points are established, and the solutions of the models are obtained by using the Progressive Optimality Algorithm and Successive Approximation of Dynamic Programming (POA-DPSA ). The mathematical models are simple and easy to realize. The models have been put into real application in a cascade reservoir power plant. The results show that the optimization models have high value for improvement of electric network system safety and enhancement of power generating benefits of the enterprises.
出处
《中国农村水利水电》
北大核心
2005年第3期90-92,94,共4页
China Rural Water and Hydropower
关键词
峰谷电价
梯级电站
发电效益最大
短期优化调度
POA—DPSA
electricity rate of peak-and-valley points
cascade reservoir power plant
maximum benefit
short-term optimization regulation
POA-DPSA
