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Robust energy hub optimization with cross‐vector demand response
International Transactions on Electrical Energy Systems ( IF 1.9 ) Pub Date : 2020-07-22 , DOI: 10.1002/2050-7038.12559 Feng Zhu 1 , Jingqi Fu 1 , Pengfei Zhao 2 , Da Xie 3
International Transactions on Electrical Energy Systems ( IF 1.9 ) Pub Date : 2020-07-22 , DOI: 10.1002/2050-7038.12559 Feng Zhu 1 , Jingqi Fu 1 , Pengfei Zhao 2 , Da Xie 3
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The integration of multi‐energy systems increases renewable penetration and efficiency of energy use, and reduces costs. This integration is further reinforced by new technologies, such as cross‐vector demand response and power‐to‐gas technologies, bringing big flexibility to system operation. This paper studies the optimal operation of multi‐vector energy systems, considering cross‐vector demand response with power‐to‐gas technology by using robust optimization. An energy hub system (EHS) is considered as the realization of a multi‐vector energy system, which consists of (a) the two‐way multi‐energy converters between electricity and gas, (b) an energy storage system and (c) renewable energy resources. The demand response to energy price variations in both electricity and heat is considered, where customers can change their energy consumption behaviors motivated by pricing mechanisms. In the EHS, energy conversion, storage, production and consumption are all modeled. To handle the uncertainty from renewable power generation, robust optimization is used with a hybrid box‐polyhedral uncertainty set for solving the built model. Case studies demonstrate that the proposed method can benefit the system operators from reducing the EHS operation cost with sound computational tractability.
中文翻译：
具有交叉矢量需求响应的可靠的能源枢纽优化
多能源系统的集成提高了可再生能源的渗透率和能源利用效率，并降低了成本。跨矢量需求响应和电力燃气技术等新技术进一步加强了这种集成，为系统操作带来了极大的灵活性。本文研究了多矢量能源系统的最优运行，并通过使用鲁棒性优化考虑了跨矢量需求响应与电力到天然气技术。能源枢纽系统（EHS）被认为是一种多矢量能源系统的实现，该系统包括（a）电力和天然气之间的双向多能源转换器，（b）储能系统和（c）可再生能源。考虑了电力和热能对能源价格变化的需求响应，在这里，客户可以根据定价机制改变其能源消费行为。在EHS中，能源转换，存储，生产和消耗均已建模。为了处理来自可再生能源发电的不确定性，将鲁棒性优化与混合箱-多面体不确定性集结合使用来求解所构建的模型。案例研究表明，该方法可以以合理的计算可操作性降低EHS运营成本，从而使系统运营商受益。
更新日期：2020-07-22
中文翻译：
具有交叉矢量需求响应的可靠的能源枢纽优化
多能源系统的集成提高了可再生能源的渗透率和能源利用效率，并降低了成本。跨矢量需求响应和电力燃气技术等新技术进一步加强了这种集成，为系统操作带来了极大的灵活性。本文研究了多矢量能源系统的最优运行，并通过使用鲁棒性优化考虑了跨矢量需求响应与电力到天然气技术。能源枢纽系统（EHS）被认为是一种多矢量能源系统的实现，该系统包括（a）电力和天然气之间的双向多能源转换器，（b）储能系统和（c）可再生能源。考虑了电力和热能对能源价格变化的需求响应，在这里，客户可以根据定价机制改变其能源消费行为。在EHS中，能源转换，存储，生产和消耗均已建模。为了处理来自可再生能源发电的不确定性，将鲁棒性优化与混合箱-多面体不确定性集结合使用来求解所构建的模型。案例研究表明，该方法可以以合理的计算可操作性降低EHS运营成本，从而使系统运营商受益。
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