As the primary heat source in the district heating systems (DHSs), combined heat and power (CHP) units are playing an increasingly significant role in electricity generation. Considering that, this paper innovatively proposes an integral generation expansion planning (GEP) framework, which enables competition to occur among conventional power plants (CPPs) of the GENCOs and CHP units of the DHSCOs. The proposed framework is based on decentralized decision-making which involves an iterative process for simulating the interactions of ISO, GENCOs, and DHSCOs. The combined heat and power dispatch model is reconstructed to determine the LMPs to offer incentives for market participants' investments. The fuzzy load duration curve (FLDC) method is proposed to model the electricity load that would influence the LMPs. In each FLDC state, uncertain load is represented by a fuzzy number. Investment decision-making models of the GENCOs and DHSCOs are formulated as a mixed integer linear programming with fuzzy objectives (MILPFO). A technique is proposed to solve the MILPOF models with the consideration of the risk appetite of the market participants. The examples illustrate the benefits of integrated planning of electric power system and DHSs.

中文翻译：

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电力和区域供热系统的基于市场的综合发电扩展计划

作为区域供热系统（DHS）中的主要热源，热电联产（CHP）单元在发电中发挥着越来越重要的作用。考虑到这一点，本文创新地提出了一个整体发电扩展计划（GEP）框架，该框架使GENCO的常规电厂（CPP）和DHSCO的CHP机组之间可以进行竞争。提议的框架基于分散的决策，该决策涉及模拟ISO，GENCO和DHSCO交互的迭代过程。重构热电联产模型以确定LMP，以激励市场参与者的投资。提出了模糊负荷持续时间曲线（FLDC）方法，以对可能影响LMP的电力负荷进行建模。在每个FLDC状态下，不确定负载由模糊数表示。GENCO和DHSCO的投资决策模型被公式化为具有模糊目标的混合整数线性规划（MILPFO）。考虑到市场参与者的风险偏好，提出了一种解决MILPOF模型的技术。这些示例说明了电力系统和DHS集成规划的好处。