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The United Optimal Operation System of Cascade Hydropower Stations Based on Multi-Agent

机译:基于Agent的梯级水电站联合优化调度系统

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With the opening of the electric market of side, the dispatcher scheme by the criteria of the largest power generation capacity has been unable to meet the requirements of cascade hydropower stations' united optimal operation. Aiming at the characteristics of the current electric market of side implementing the price of electricity of time-sharing and surfing the Net at a competitive price. This paper, combining the theory of Multi-Agent with the united optimal operation, sets up the united optimal operation system of cascade hydropower stations based on Multi-Agent. And in the process of the calculation of united optimal operation, this paper establishes a kind of Master-slave Synchronization Parallel Genetic Algorithm based on Multi-Agent. The application of this system not only improve greatly the communication harmony among the cascade hydropower stations group, and improves speed and precision of the optimal operation calculation greatly, providing a good reference for the optimal operation of the Cascade Hydroelectric Power Stations under the environment of power market.
机译:随着侧方电力市场的开放,以最大发电量为标准的调度方案已不能满足梯级水电站联合优化运行的要求。针对一方当前的电力市场特点,实行分时电价并以有竞争力的价格上网。结合多智能体理论与联合优化运行,建立了基于多智能体的梯级水电站联合优化运行系统。并在联合最优运行的计算过程中,建立了一种基于多Agent的主从同步并行遗传算法。该系统的应用,不仅大大提高了梯级水电站群之间的通信协调性,而且极大地提高了最优调度计算的速度和精度,为电力环境下梯级水电站的优化调度提供了很好的参考。市场。

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