鉴于（非）集中式可再生能源的使用越来越多，越来越需要灵活处理可再生能源供应的不确定性。灵活性是一种描述系统处理和响应不断变化的需求的能力的策略。考虑到电网环境，电力系统的灵活性可以定义为能够以经济高效的方式连续平衡电力供应和需求，同时保持对并网负载的所需服务的系统。建筑能源灵活性是需求侧灵活性（DSF）类别的一部分。建筑通过在高峰期减少能源需求或供应能源来提供DSF。电池储能系统（BESS）的集成增加了DSF的机会，并且结合有源可控负载可以处理侧干扰，预先电流将影响电网运行。在本研究中，设计、开发、建造和调试了一个集成了BESS的办公楼，以测试智能电网促进需求侧管理（DSM）策略。 研究强调了成功集成BESS的两个重要问题:能效和电池退化。因此，对BESS特性的充分了解至关重要，需要评估电池在可变充电率（电流）和放电深度（DoD）下的BESS性能。本研究的第二部分描述了BESS作为智能电网控制策略的应用。BESS软件代理旨在响应日前电价和建筑能源需求，并安排电池放电情况。总之，该代理能够:通过使用JSON在不同各方之间进行通信，它可以使用预测的建筑能源需求数据，并在迭代过程中安排负荷输出。引用:2018年年度会议，德克萨斯州休斯顿，会议论文

Given the increasing use of (de)centralized renewable energy, there is a growing need for flexibility to handle the uncertainty of the renewable energy supply.Flexibility is a strategy which describes the ability of a system to handle and respond to changing requirements. In view of the grid environment, powersystem flexibility can be defined as systems with the ability to continuality balance the electricity supply and demand in cost effective way, whilemaintaining the required services towards grid connected loads. Building energy flexibility forms part of the Demand Side Flexibility (DSF) category.Buildings offer DSF by decreasing energy demand or supply energy during peak periods. Integration of Battery Energy Storage Systems (BESS) increasesthe DSF opportunities and in combination with active controllable loads can handle on-side disturbances, beforehand the electrical flow will influencepower grid operations. In this study an office building integrated BESS is designed, developed, built and commissioned in order to test Smart Gridfacilitating Demand Side Management (DSM) strategies. Studies emphasize two important issues in successful integration of BESS: energy efficiencyand battery degradation. A good understanding of the BESS characteristics is therefore crucial and assessment of the BESS performance under variablecharge rate (current) and Depth of Discharge (DoD) of the batteries is needed. The second part of this study describes the BESS as an application forcontrol strategies towards the Smart Grid. A BESS software agent is designed that respond to the day-ahead electricity pricing and building energydemand and schedules the battery discharge profile. To conclude, the agent is able to: communicate between different parties with the use of JSON, it canuse forecasted building energy demand data and schedules the load output in an iterative process.