Optimization of CHCP (combined heat power and cooling) systems operation strategy using dynamic programming

Optimization of CHCP (combined heat power and cooling) systems operation strategy using dynamic programming
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DOI:
10.1016/j.energy.2013.12.069
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发表时间:
2014-03
期刊:
影响因子:
9
通讯作者:
A. Facci;L. Andreassi;S. Ubertini
A. Facci;L. Andreassi;S. Ubertini
中科院分区:
工程技术1区
文献类型:
--
作者:
A. Facci;L. Andreassi;S. Ubertini

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在本文中,我们介绍了一种增强的方法来确定复杂的三联产厂的最优控制策略。该工厂被设计为满足用户的热负荷和电负荷,并连接到电网。我们考虑一个工作日,工厂设定点是以小时为基础确定的,最大限度地减少总能源成本,工厂维护成本,以及与打开和关闭发电厂组件相关的成本。为了真实地模拟大型火电厂的运行情况,考虑了机组各区段最小开停机时间的约束条件,将研究问题离散化为时间和机组状态,用加权图表示,并采用反向动态规划法确定使总费用最小的策略。其计算工作量与真实的实际应用是兼容的。所提出的方法的有效性和实用性被证明优化组合的热,电和冷却系统的设定点,在不同的季节负荷条件和能源价格下。我们证明,一个优化的策略将减少总的日常成本从8%到约100%,根据季节性负载,相对于基于规则的控制策略,如热跟踪和电气跟踪。
In this paper we introduce an enhanced methodology to determine the optimal control strategy for a complex trigeneration plant. The plant is designed to meet the thermal and electrical loads of a user and is connected to the electrical grid. We consider a single working-day and the plant set-points are determined on an hourly basis minimizing total energy cost, plant maintenance costs, and costs associated to switching on and off the power plant components. To realistically simulate the behavior of large power plants, a constraint on the minimum duration of on and off intervals is considered for each plant section.The problem in study is discretized in time and plant states, represented as weighted graph, and the strategy that minimizes the total cost is determined using backward dynamic programming, whose computational effort is compatible with real practical applications.Validity and usefulness of the proposed methodology are demonstrated optimizing the set-point of a combined heat, power and cooling system, under different seasonal load conditions and energy prices. We demonstrate that an optimized strategy would reduce the total daily cost from 8% to about 100%, depending on seasonal load, with respect to rule based control strategies, such as heat-tracking and electrical tracking.