Optimization framework for distributed energy systems with integrated electrical grid constraints
Optimization framework for distributed energy systems with integrated electrical grid constraints
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DOI：
10.1016/j.apenergy.2016.03.090
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发表时间：
2016-06
期刊：
影响因子：
11.2
通讯作者：
B. Morvaj;R. Evins;J. Carmeliet
中科院分区：
文献类型：
--
作者：
B. Morvaj;R. Evins;J. Carmeliet
分布式能源系统（DES）可以通过提高集中式电力系统的效率来帮助实现碳密集度较低的能源系统。本文提出了一种新的优化框架，它结合了分布式能源系统的优化设计和运行与电网约束和建筑物能源使用的计算。该框架被用来研究分布式发电对配电网的负面影响是否可以减轻和避免电网升级通过适当的设计和确定DES的操作策略。三种新的方法集成电网约束的基础上不同的组合的遗传算法和混合整数线性规划。通过算例分析了各种方法的最优性、潮流计算精度和求解性能。结果表明，电网约束对最优解有显著影响，尤其是在可再生能源利用水平较高的情况下，突出了电网约束在此类优化问题中的重要性。将这些约束直接纳入运行调度中，与检查解决方案的有效性相比，在给定的成本下，碳排放量减少了18%。此外，通过适当设计和确定DES的运行调度，可以在不升级电网的情况下，将可再生能源的排放量增加40%。
Distributed energy systems (DES) can help in achieving less carbon-intensive energy systems through efficiency gains over centralized power systems. This paper presents a novel optimization framework that combines the optimal design and operation of distributed energy systems with calculations of electrical grid constraints and building energy use. The framework was used to investigate whether the negative impact of distributed generation on distribution grids can be mitigated and grid upgrades avoided by properly designing and determining operation strategies of DES.Three new methods for integrating grid constraints were developed based on different combinations of a genetic algorithm and a mixed-integer linear programme. A case study is defined in order to analyze the optimality, accuracy of power flow calculation and solving performance of each method. The comparison showed that each method has advantages and disadvantages and should therefore be chosen based on the application and objectives.The results showed that the electrical grid constraints have a significant impact on the optimal solutions, especially at high levels of renewable energy use, highlighting their importance in such optimization problems. The inclusion of such constraints directly in the operational scheduling achieved an additional 18% reduction in carbon emissions for a given cost compared to checking the validity of solutionsa posteriori.Furthermore, by properly designing and determining operation schedules of DES, it is possible to integrated 40% more renewables without grid upgrades.