FUZHUAN: Day 7-8 — SCRUM and PM Report

FUZHUAN 2024-12-21 00:45:29
Which course does this assignment belong toEE301
Where are the requirements for this assignment?Teamwork—beta Spring
Team Name

FUZHUAN

The objective of this assignmentDay 7-8 — SCRUM and PM Report
Other Reference DocumentsMethod of Construction ( 《构建之法》)

目录

SCRUM Part

PM Report

Expected Tasks Overview

Completed Tasks

Remaining Tasks

Burndown Chart

Changes in Task Volume


SCRUM Part

Team MemberAccomplishmentsTime SpentRemaining TasksIssues/ProblemsPlan for Tomorrow
Zhang YuxinWorked on user experience improvements, addressed UI feedback from users.6 hoursComplete user feedback integration.User feedback had some conflicting results.Prioritize most frequent user complaints, finalize UX changes.
Luo YuxinFinished refining UI elements, improved responsiveness based on feedback.5 hoursFinalize mobile responsiveness.UI issues in mobile view under heavy traffic.Ensure UI works seamlessly under heavy mobile usage.
Yang RuoxinImproved user flow for product purchase and feedback.5 hoursConduct testing for final product flow.UI glitches on low-resolution devices.Test on multiple devices to ensure seamless user experience.
Lin JiahuiIntegrated feedback into product and payment flow.6 hoursFinalize payment gateway and ensure security.Payment gateway integration issues with third-party API.Resolve payment gateway issues and finalize payment process.
Sun XingConducted performance optimization for API, fixed remaining load issues.5 hoursFinalize API stress testing.API stress testing not accurate due to slow internet.Conduct API stress testing in controlled environments.
Chen YikeWorked on further optimization of database queries.5 hoursComplete database performance testing.Large dataset query issues persist.Optimize large dataset handling in the database.

PM Report

Expected Tasks Overview

TaskEstimated TimeIssues Count
User experience testing and feedback16 hours4
Final frontend adjustments8 hours2
Final database and API optimizations8 hours2

Completed Tasks

TaskTime SpentIssues Completed
User experience testing and feedback14 hours4
Final frontend adjustments7 hours2
Final database and API optimizations6 hours2

Remaining Tasks

TaskRemaining TimeRemaining Issues
User experience testing and feedback2 hours1
Final frontend adjustments1 hour1
Final database and API optimizations2 hours1

Burndown Chart

 

Changes in Task Volume

We found that resolving some of the user feedback issues was more time-consuming than expected. This extended the work related to UI responsiveness and mobile-friendly optimizations. Additionally, payment gateway integration was more complex due to third-party API compatibility issues.

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内容概要:本文提出了一种针对大规模电动汽车接入电网的双层优化调度策略,并基于IEEE33节点系统进行了建模与仿真分析,配套提供了完整的Matlab代码实现。该策略构建了上层电网运行优化与下层电动汽车充电调度的双层协同模型,综合考虑电网负荷削峰填谷、电压稳定性维持以及电动汽车用户充电需求满足等多重目标,采用先进的优化算法实现对电动汽车集群的智能有序调度。研究详细阐述了双层模型的构建逻辑、目标函数设计、约束条件设定及迭代求解流程,有效降低了电网峰谷差,提升了配电系统对可再生能源的消纳能力,兼具扎实的理论深度与明确的工程应用前景。; 适合人群:电气工程、电力系统及其自动化、能源系统优化等相关专业的研究生、科研人员以及从事智能电网、电动汽车调度、分布式能源管理等领域工作的工程师和技术人员。; 使用场景及目标:①深入研究高比例电动汽车接入对配电网运行特性的影响机制;②掌握电力系统双层优化建模方法及其在实际系统中的求解技巧;③实现电动汽车集群的协同调度与车网互动(V2G)优化控制;④作为撰写学术论文、开展课题研究或复现高水平期刊成果的技术参考与代码基础。; 阅读建议:建议读者结合所提供的Matlab代码逐行理解双层优化模型的数学表达与程序实现细节,重点剖析上下层模型之间的信息交互机制与收敛判据,可通过调整电动汽车渗透率、充电行为参数或引入分布式电源等场景进行拓展性仿真,以深化对智能调度策略适应性的认识。

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