Extensive deployment of combined heat and power (CHP) units into the electric power system (EPS) makes it imperative to investigate the utilization of flexible resources in a district heating system (DHS) and avoid unnecessary wind power curtailment. In this paper, a combined heat and power dispatch (CHPD) model is developed by considering the flexibility of heat sources, pipelines, and DHS loads. Specifically, the adjustable region of the CHP units, heat storage of the heating networks and thermal inertia of the buildings are taken into account. Moreover, the heterogeneity of the EPS and DHS requires the independent control over the two systems. We propose a novel decentralized algorithm for solving the CHPD problem based on the heterogeneous decomposition method. The algorithm only requires the locational marginal prices at boundary buses of the EPS and the injected boundary power of the DHS to be exchanged. Numerical simulations are carried out for real data in Jilin. The flexible resources are optimally utilized and the wind power curtailment is reduced in the CHPD, with the alleviation of congestion in the EPS. Besides, simulations demonstrate that the proposed algorithm is efficient and robust, with a light communication burden to solve CHPD.

中文翻译：

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利用非均质分解的电力和区域供热系统的协调调度

将热电联产（CHP）单元广泛部署到电力系统（EPS）中，必须研究区域供热系统（DHS）中灵活资源的利用情况，并避免不必要的风电削减。在本文中，考虑了热源，管道和DHS负载的灵活性，建立了热电联产（CHPD）联合模型。具体而言，要考虑到CHP单元的可调节区域，供热网络的蓄热和建筑物的热惯性。此外，EPS和DHS的异质性要求对两个系统进行独立控制。我们提出了一种新的分散算法，用于解决基于异构分解方法的CHPD问题。该算法仅要求交换EPS边界总线上的位置边际价格和DHS注入的边界功率。对吉林省的真实数据进行了数值模拟。CHPD中的柔性资源得到了最佳利用，减少了风能的削减，同时减轻了EPS的拥挤。仿真结果表明，该算法高效，鲁棒，解决CHPD问题的通信负担小。