Optimal daily generation scheduling of large hydro-photovoltaic hybrid power plants
Optimal daily generation scheduling of large hydro-photovoltaic hybrid power plants
复制标题
大型水光混合电站日优化发电调度
DOI：
10.1016/j.enconman.2018.06.001
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发表时间：
2018
影响因子：
10.4
通讯作者：
Wang Xianxun
中科院分区：
文献类型：
--
作者：
Ming Bo;Liu Pan;Cheng Lei;Zhou Yanlai;Wang Xianxun
大型可再生能源（如水电和太阳能）联合运行已成为现代电力系统的发展趋势，越来越多的现有水电水库系统运营商正在采用这种方式。本研究旨在提高对大型光伏电站日发电计划的指导作用。首先，建立了考虑不确定光伏发电的鲁棒优化模型，其中混合动力系统的输出功率和水电机组状态为鲁棒决策变量。针对模型求解的复杂性，提出了一种三层嵌套框架，以分层结构解决发电调度问题。在外层，直接搜索算法对系统的输出功率进行优化，在满足指定负载特性的情况下实现发电量最大化。在中层和内层，分别采用布谷鸟搜索算法和动态规划技术对水电机组状态和负荷调度策略进行优化，以最大限度地降低耗水量为目标。最后，通过放宽负载特性约束，推导出系统输出功率的决策区间。以中国龙阳峡水电光伏电站为例，结果表明，鲁棒优化模型和三层嵌套方法能够在合理的时间内为混合动力系统提供有效的发电方案。与实际运行相比，该发电方案可使混合动力系统发电量提高1.9%，同时使水力机组总在线时间减少9.7%。因此，该方法可以提高对水电光伏电站发电计划的指导性。在实践中，发电计划和决策区间的联合使用也可以为电厂运营管理提供灵活的决策信息。
Joint operation of large-scale renewable energy sources (e.g., hydro and solar) has become a trend in modern power systems, and more operators of existing hydropower reservoir systems are adopting it. This study aimed to improve guidance for the daily generation scheduling of a large hydro–photovoltaic (PV) power plant. First, a robust optimization model that accounts for uncertain PV power generation was formulated, in which the delivered power output of the hybrid system and hydro unit status are robust decision variables. To deal with the complexity of the model solution, a three-layer nested framework was proposed to solve the generation scheduling problem in a hierarchical structure. In the outer layer, a direct search algorithm optimizes the delivered power output of the system, aiming to maximize energy production while satisfying specified load characteristics. In the middle and inner layers, a cuckoo search algorithm and dynamic programming technique optimize the hydro unit status and load dispatch strategies, respectively, with the objective of minimizing water consumption. Finally, a decision interval on delivered power output of the system was derived by relaxing the load characteristic constraint. Results for a case study using China’s Longyangxia hydro–PV power plant indicated that the robust optimization model and the three-layer nested approach could provide effective power generation plans for the hybrid system within a reasonable time. Compared with actual operation, the power generation plans could increase energy production of the hybrid system by 1.9% while decreasing total online time of the hydro units by 9.7%. Therefore, the proposed method could improve guidance for the hydro–PV power plant’s generation scheduling. In practice, conjunctive use of the power generation plan and the decision interval could also inform flexible decision-making for plant operations management.