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首页> 外文期刊>IEEE transactions on industrial informatics >Data-Driven Energy Management in a Home Microgrid Based on Bayesian Optimal Algorithm
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Data-Driven Energy Management in a Home Microgrid Based on Bayesian Optimal Algorithm

机译：基于贝叶斯优化算法的家庭微电网数据驱动能源管理

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摘要

Microgrid is a key enabling solution to future smart grids by integrating distributed renewable generators and storage systems to efficiently serve the local demand. However, due to the intermittent and uncertainty of distributed renewable energy, the reliability and economic operations of microgrid are facing increasing new challenges. Traditionally, economic dispatch issue is considered as solving an offline or online optimization problem whose objective function is prior known. However, accurate and determined function expression is difficult to formulate, and wrong expression may result in waste of electricity cost and causing security issues. Thus, it is desirable to reformulate the economic dispatch problem, and solve it in a data-driven way. This paper proposes a data-driven energy management solution based on Bayesian optimization algorithm (BOA) for a single grid-connected home microgrid. The proposed solution formulates the optimization problem without a closed-form objective function expression, and solves it using BOA-based data-driven framework. The proposed solution is a kind of black-box function sequential global optimization strategy, and does not require derivative operation on the objective function. Besides, it can also solve the microgrid operation and parameter prediction uncertainty. Simulation results demonstrate the effectiveness of the proposed solution.
机译：通过集成分布式可再生发电机和存储系统以有效满足本地需求，微电网是未来智能电网的关键支持解决方案。但是，由于分布式可再生能源的间歇性和不确定性，微电网的可靠性和经济运行面临着越来越多的新挑战。传统上，经济调度问题被认为是解决了目标函数事先已知的离线或在线优化问题。但是，难以确定准确而确定的功能表达式，并且错误的表达式可能会导致电费浪费并引起安全问题。因此，期望重新制定经济调度问题，并以数据驱动的方式解决该问题。本文提出了一种基于贝叶斯优化算法（BOA）的数据驱动型能源管理解决方案，用于单个并网家庭微电网。提出的解决方案提出了不具有封闭形式目标函数表达式的优化问题，并使用基于BOA的数据驱动框架来解决该问题。提出的解决方案是一种黑盒函数序贯全局优化策略，不需要对目标函数进行导数运算。此外，它还可以解决微电网运行和参数预测的不确定性。仿真结果证明了所提出解决方案的有效性。

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