Congestion problems might occur in distribution networks as the penetration of distributed energy resources (DERs) progresses. This study focuses on the complementarity of multiple energy resources in energy hubs (EHs) to solve possible distribution network congestions. First, we consider an EH in which combined cooling, heating and power (CCHP) units and heat pumps are integrated with renewable energy resources. The EH models the intrinsic coupling relationship among various energy carriers, forming a flexible operation where electricity, natural gas, cooling and heat can complement each other. Next, an optimal operation strategy of multiple energy hubs enables gas-to-electricity to provide local energy supply for EH during electricity peak periods, and consume renewable energy generation by the complementarity of electricity, heat and cooling. In addition, the uncertainty of renewable energy resources is taken into account via scenario-based stochastic programming. Numerical results show that the proposed operation strategy explores EHs’ operation flexibility to mitigate distribution network congestion when we consider high renewable energy penetration in power systems.

中文翻译：

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具有大规模分布式能源资源的能源枢纽优化运行，用于配电网拥塞管理

随着分布式能源 (DER) 的普及，配电网络中可能会出现拥塞问题。本研究侧重于能源枢纽 (EH) 中多种能源的互补性，以解决可能出现的配电网络拥堵问题。首先，我们考虑一种 EH，其中冷热电联产 (CCHP) 装置和热泵与可再生能源相结合。EH模拟了各种能源载体之间的内在耦合关系，形成了电、天然气、冷、热可以互补的灵活运行。其次，多个能源枢纽的优化运行策略使气转电在用电高峰期为EH提供本地能源供应，并通过电、热、冷的互补消耗可再生能源发电。此外，通过基于场景的随机编程考虑了可再生能源的不确定性。数值结果表明，当我们考虑电力系统中可再生能源的高渗透率时，所提出的运营策略探索了 EH 的运营灵活性，以缓解配电网络拥堵。