【作者】 刘学海；

【导师】 练继建；

【作者基本信息】 天津大学 ， 水利水电工程， 2005， 博士

【摘要】 本文结合云南硕多岗河流域梯级电站群开发运行实际,分别在梯级水电站群与电力系统运行特性、电站动力特性分析、梯级水电站群水文预测、梯级水电站群长期优化调度、梯级水电站短期发电优化调度寻优算法和模型、梯级水电站群的送出策略及市场竞价策略等方面进行了深入的研究,系统而全面地对在电力市场环境下梯级水电站群优化调度与运营策略问题进行了研究,取得了一系列研究成果。这些成果主要包括:第一,全面而系统地对在电力市场环境下梯级水电站群优化调度与运营策略问题进行了研究。从流域水文气象条件、水工建筑物因素、电站设备条件、电网安全约束、电力市场运营要求等多方面来考虑,结合先进的最优化算法演算,在这一领域取得的研究成果将对众多水利枢纽和发电企业有非常现实的指导意义和应用价值。第二,进行了梯级水电站群长期优化调度研究。包括水库径流系列的模拟预测,龙头水库的补偿效益分析,动态汛限水位的风险效益分析,梯级水电站优化模式研究等内容,为调度人员提供梯级长期运行决策的理论方法和方案。第三,对梯级水电站群短期优化调度研究。首次将新兴的微粒群优化算法用于短期优化调度中,计算结果表明该算法在水电站优化调度领域有很强的适用性,为水电站优化调度模型的求解问题提供了一条新的途径。第四,针对梯级水电站群运行的特点,提出了市场竞价下梯级水电站群的实时优化调度策略,构建了市场竞价下分阶段采用“发电量最大优化模型—系统发电成本最小模型—电站群效益最大模型”的竞价优化运行模式为梯级水电站群优化竞价运行模型。优化得出的梯级水电站的最优运行方案以及市场出清价与实际情况相符。建立了一套电力市场竞价环境下梯级水电站群的实时运营策略模型,提出了一套新的竞价模式和市场出清价计算模型,并同当前华中电网实际采用的月度市场出清算法进行了比较分析,展现了本文所建立的竞价模式和出清价模型的特点及优势。最后,对本文的以上成果进行了总结和展望,形成了有关梯级水电站群优化调度和运营策略的科学体系。更多还原

【Abstract】 With the example of Shuoduogang River in Yunnan Province, this dissertation focuses on running characteristic of cascade hydropower stations and electric power system, power station dynamical characteristics, hydrological prediction, long-time optimizing schedule, seeking optimization algorithm and models of short-time operation, the modes of connection and game pay-off, systematically and roundly researches the problems of optimizing schedule of cascade hydropower stations and their operation strategy in electric power market. A series of outcomes is obtained and the main is as follows:1.The problems of optimal operation and management strategy of the cascade hydropower stations in the power market are systemically studied, using a new optimization algorithm and with many factors taken into account, such as hydrometeorological conditions of the drainage area, stabilization of the hydraulic buildings, factors of the electrical equipments, safety of the whole network, requirements of the power market and so on. The results gained in this paper will have very practical significance and application value to other hydro projects and power plant.2. The long-term optimal operation of the cascade hydropower stations is studied, including the simulation and forecasting of the runoff sequence, the analysis of the compensation profit of the tap reservoir, the analysis of the risk benefit of dynamic limiting level in flood period and the operation pattern of the cascade hydropower stations. It will provide the theoretical method and programs of the long-term operation decision-making of cascade hydropower stations to the operational personnel.3. The short-term optimal operation of the cascade hydropower stations is studied, with particle swarm optimization firstly used in the short-term optimal operation of hydropower stations. The results shows that the particle swarm optimization is very applicable to the field of optimal operation of hydropower stations and the particle swarm optimization provides a new way of solving the optimal operation models.4.Aiming at the characteristics of short-term optimal dispatching of cascaded hydropower stations, bidding strategies for cascaded hydropower stations in electricity market are put forward. Optimal bidding & operation mode for cascaded hydropower stations in competitive power market is constructed, which is staged and concludes maximum generation model, minimum system generation cost model andmaximum profit model in succession. Scheduling and market clearing price Optimized accords with real situation. This dissertation constructed a real-time operation model for cascaded hydropower stations in electricity market. A new bidding mode and market clearing price simulation is also advanced. They exhibit specialties and advantages in compared with the compute of monthly market clearing price in Huazhong grid.At last, this dissertation makes a conclusion and expectation. Scientific system of optimal operation and management for cascaded hydropower stations is formed.更多还原