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针对差分进化算法在进化过程中适应度的进化模式未考虑进化的外部环境与进化成分间的内在联系问题,结合电力市场环境下梯级水库中长期发电优化调度的特点,借鉴生态学对个体生存环境与种群竞争的关系,提出了协同差分演化算法在电力市场环境下梯级水库中长期发电优化调度中的应用。实例验证结果表明,该算法可靠、合理,计算精度与计算效率高,为求解电力市场环境下高维、复杂的梯级水库中长期发电优化调度模型提供了一种新途径。
Aiming at the problem that the evolutionary evolutionary model of evolutionary fitness does not consider the internal relations between the evolutionary external environment and the evolutionary components, this paper, based on the characteristics of optimal scheduling of medium- and long-term power generation in cascade reservoirs in power market environment, And the competition of population, this paper puts forward the application of cooperative differential evolution algorithm in long-term power generation optimal dispatch in cascade reservoirs under the electricity market environment. The experimental results show that the proposed algorithm is reliable, reasonable, accurate and computationally efficient. It provides a new way to solve the medium and long term optimal dispatch model for large and complex cascaded reservoirs in power market.