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Probability Based Generator Commitment Optimization in Ship Power System Design

机译:船舶电力系统设计中基于概率的发电机承诺优化

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This paper describes the optimization of marine power system design and power management system (PMS) unit commitment algorithm. The optimization is based on a probabilistic approach to vessel operational conditions with regards to blackout prevention and minimization of fuel consumption. The generator commitment problem has been solved using long term probability of sea states and expected values of wave heights based on weather statistics. The problem is analyzed by taking care of proper selection of vessel's operational profile, total installed power, number of generator sets, power rating of each unit, load dependent start/stop tables and load sharing among generators. The cost function is based on fuel consumption and operational requirements. Minimization of fuel consumption has been analyzed with respect to efficient use of fast load reduction technology where generating sets inertia has important influence on the power system speed of response and direct influence on risk of the blackout. Redundancy requirements with respect to blackout prevention are also included in the optimization. The proposed optimization scheme can be used in marine power plant design and application of any technology that influence power system inertia such as flywheel energy storage devices, batteries and fuel cells.
机译:本文介绍了船用电力系统设计和电力管理系统(PMS)单元承诺算法的优化。该优化基于关于船舶停工状态的概率方法,以防止停电并最大程度地减少燃料消耗。发电机承诺问题已经通过使用长期的海况概率和基于天气统计的波高期望值得到了解决。通过仔细选择船舶的运行状况,总装机功率,发电机组数量,每个单元的额定功率,与负载有关的启动/停止表以及发电机之间的负载分配,来分析问题。成本函数基于燃油消耗和运行要求。已针对有效使用快速减少负载的技术对燃油消耗的最小化进行了分析,其中发电机组的惯性对电力系统的响应速度有重要影响,而对停电风险有直接影响。优化中还包括了关于停电预防的冗余要求。提出的优化方案可用于船舶电厂设计和任何会影响电力系统惯性的技术,例如飞轮储能装置,电池和燃料电池。

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