Experiment design for electricity market course on joint optimization of electric energy and reserve
电能量与备用联合优化的电力市场课程实验设计

摘要

理论与实践的融合是掌握知识的有效手段，其中理论与实践的融合步骤更是高效学习的关键。本文以分布式资源参与电能量市场与备用市场联合优化的仿真实验为目标案例，提出“微实验入门→强基础赋能→高难度进阶”的知识学习流程，构建了从基础到复杂的渐进式学习框架。该框架强调“做中学”，首先在“微实验入门”阶段，通过封装好的微型代码案例，让学生理解并掌握优化求解的基本要素；进而在“强基础赋能”阶段，介绍线性规划、电能量市场与备用市场联合出清原理等基础理论，结合具体问题提高建模与分析能力；最后在“高难度进阶”阶段，引入电动汽车等分布式灵活资源参与电力市场交易，引导学生构建含复杂时空约束的电动汽车耦合优化模型。本文所提实验设计方法为电力市场课程教学提供了可操作、可复制的案例，对学习方法与人才培养具有重要参考价值。

Abstract

The integration of theory and practice is an effective means of mastering knowledge, and the steps involved in this integration are crucial to efficient learning. This paper proposes a knowledge learning process structured as “micro-experiments for beginners → foundational skills for improvement → advanced challenges for progression,” establishes a progressive learning framework that escalates from foundational to complex concepts, and finally presents a simulation experiment on the joint optimization of distributed resources participating in electricity energy and reserve markets as a case study. This framework emphasizes “learning by doing.” First, in the “micro-experiments for beginners” phase, students gain an understanding of and mastery over the fundamental elements of optimization through encapsulated micro-code examples. Subsequently, in the “foundational skills for improvement” phase, foundational theories such as linear programming and the joint clearing mechanism of electricity energy markets and reserve markets are introduced. Through application to specific problems, students enhance their modeling and analytical skills. Finally, in the “advanced challenges for progression” phase, distributed flexible resources like electric vehicles are introduced into market transactions. Guide students in developing coupled optimization models for electric vehicles that incorporate complex spatiotemporal constraints. The experiment design methodology proposed in this paper offers a practical and replicable case study for teaching electricity market courses, providing significant reference value for learning approaches and talent training.