Automated scheduling and optimization strategies for distributed energy resources in smart grids
智能电网中分布式能源的自动化调度优化策略

摘要

智能电网的迅速发展为分布式能源的接入和优化调度提供了新的机遇。分布式能源系统作为一种灵活且可再生的电力资源，其自动化调度优化在智能电网中起着关键作用。本文探讨了在智能电网环境下，如何通过先进的调度策略实现分布式能源的高效利用。重点分析了调度优化的关键技术，包括预测算法、需求响应和能源存储的优化管理。通过多元化的调度优化方法，可以有效提高分布式能源的协调性，降低系统运行成本，同时确保电网的稳定性与安全性。本文提出了一种基于智能算法的自动化调度框架，为分布式能源的可持续发展提供了新的思路和解决方案。

Abstract

The rapid development of smart grids has provided new opportunities for the integration and optimal scheduling of distributed energy resources (DERs). As a flexible and renewable power resource, the automated scheduling and optimization of DER systems play a critical role in smart grids. This paper explores how to achieve efficient utilization of DERs through advanced scheduling strategies in the smart grid environment. It focuses on analyzing key technologies for scheduling optimization, including prediction algorithms, demand response, and optimal management of energy storage. Through diversified scheduling and optimization methods, the coordination of DERs can be effectively improved, system operation costs can be reduced, and the stability and security of the power grid can be ensured simultaneously. This paper proposes an automated scheduling framework based on intelligent algorithms, providing new ideas and solutions for the sustainable development of distributed energy resources.