Co-optimizing Distributed Energy Resources in Linear Complexity under Net Energy Metering
Co-optimizing Distributed Energy Resources in Linear Complexity under Net Energy Metering
复制标题
净电能计量下线性复杂度的分布式能源协同优化
DOI：
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复制
发表时间：
2022
期刊：
影响因子：
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通讯作者：
Qing Zhao
中科院分区：
文献类型：
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作者：
A. Alahmed;Lang Tong;Qing Zhao
在净能量计量关税下，考虑到幕后分布式能源的合作式分布资源。所考虑的分布式能源资源包括可再生代，灵活的需求和电池储能系统。能源管理系统通过求解最大化预期的操作盈余的随机动态程序，将基于本地可用随机可再生能源的消耗量和电池存储进行优化。为了避免动态程序解决方案的指数复杂性，我们提出了一种基于弛豫投射方法的封闭形式和线性计算复杂性合作算法，以实现约束的随机动态程序。获得了足够的条件，以实现提议的解决方案的最佳条件。数值研究表明，计算成本的降低顺序降低，并显着降低了最佳差距。
The co-optimization of behind-the-meter distributed energy resources is considered for prosumers under the net energy metering tariff. The distributed energy resources considered include renewable generations, flexible demands, and battery energy storage systems. An energy management system co-optimizes the consumptions and battery storage based on locally available stochastic renewables by solving a stochastic dynamic program that maximizes the expected operation surplus. To circumvent the exponential complexity of the dynamic program solution, we propose a closed-form and linear computation complexity co-optimization algorithm based on a relaxation-projection approach to a constrained stochastic dynamic program. Sufficient conditions for optimality for the proposed solution are obtained. Numerical studies demonstrate orders of magnitude reduction of computation costs and significantly reduced optimality gap.
DOI：
10.1109/tpec56611.2023.10078677
发表时间：
2023
期刊：
2023 IEEE Texas Power and Energy Conference (TPEC
影响因子：
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作者：
Alahmed, Ahmed S.;Tong, Lang
通讯作者：
Tong, Lang
关于净能源计量 X：最优产消者决策、社会福利和交叉补贴
影响因子：
9.6
作者：
Alahmed, Ahmed S.;Tong, Lang
通讯作者：
Tong, Lang