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储能系统技术 储能系统 工商业光伏 ★ 5.0

一种优化商业建筑中含储能装置的冷热电联供系统的新颖控制策略

A novel control strategy for optimizing combined cooling, heating, and power systems with energy storage devices in commercial buildings

语言:

中文摘要

摘要 冷热电联供系统中的原动机负责为建筑提供主要能源,并根据应用于系统的控制策略,既不不足也不过度地满足建筑的能源需求。然而,目前极少有控制策略同时考虑特定的热电比,并将多种储能装置纳入原动机及可再生能源系统的控制范畴。本研究提出了一种创新的控制策略,通过控制模式的区分,调节用户的能源需求,使其与供能端的热电比在每小时尺度上精确匹配,同时维持主动储能装置处于特定的储能水平。该控制方法可最大限度地利用原动机和可再生能源系统所产生的能量,从而提升系统整体性能。基于固体氧化物燃料电池并结合所提出控制策略的冷热电联供系统,相较于基准控制策略,表现出最优的系统性能和最高的系统利用率,对辅助能源的依赖最低,能量浪费最少。此外,与传统系统相比,该系统分别降低了52.4%的一次能源消耗、49.0%的二氧化碳排放以及13.3%的年总成本。最后,本文还针对不同类型的建筑和原动机对新控制策略的性能进行了检验,结果表明其仍优于基准控制策略。

English Abstract

Abstract The prime mover within a combined cooling, heating, and power system is responsible for supplying the dominant energy to a building and satisfying energy demands neither insufficiently nor excessively according to the control strategy applied to the system. However, there are extremely limited control strategies that consider the dedicated heat-to-power ratio and include multiple energy storage devices in the control domain for prime mover and renewable energy systems. The present study proposes an innovative control strategy that controls the user’s energy demand to precisely match the heat-to-power ratio between the energy demand and supply hourly and maintain a specific stored energy level of active energy storage devices through control mode differentiation. This control allows for the maximum utilization of energy produced by prime mover and renewable energy systems, thereby improving overall system performance. The solid oxide fuel cell-based combined cooling, heating, and power system coupled with the developed control strategy exhibits the best system performance and the highest system utilization rate with the lowest reliance on supplemental energy sources and the lowest wasted energy compared to the baseline control strategy. In addition, it reduces the primary energy consumption, carbon dioxide emissions, and annual total costs by 52.4%, 49.0%, and 13.3%, respectively, compared to the conventional system. Finally, the performance of the new control strategy is examined with different building and prime mover types, and it still exhibits advantages over the baseline control strategy.
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SunView 深度解读

该CCHP热电比优化控制策略对阳光电源工商业储能系统具有重要借鉴价值。可应用于ST系列PCS与PowerTitan储能系统,通过精确匹配建筑冷热电需求实现多能互补优化。建议将该控制逻辑集成至iSolarCloud平台,结合SG系列光伏逆变器与储能系统协同控制,实现工商业场景下52%以上的能耗降低。该技术可增强阳光电源在分布式能源管理领域的竞争力,为智慧楼宇综合能源解决方案提供算法支撑。