TengXi Zhang

TengXi Zhang

Digital Energy & Reliable AI Solutions
China
Full-time On-site

About Me

Utility-trained power systems and digital professional who translates reliability, economic and emissions objectives into practical solutions, progressing from manual workflows to data-assisted decision support and autom…

Experience

Senior Grid Automation Specialist

State Grid Corporation of China (SGCC) · Liaoning, China
Jul 2011 - Aug 2020 · 9 years 2 months

<p>I bring approximately nine years of experience with State Grid in power system operation, dispatching, system analysis and multi-source coordinated control. I worked on complex grid operating scenarios involving generation coordination, network constraints, operational risk assessment, system optimisation and real-time decision support, with a strong focus on maintaining system security, reliability and flexibility. My experience spans both engineering analysis and operational implementation, enabling me to evaluate system behaviour, identify critical risks and constraints, and develop practical control and optimisation strategies for large-scale power networks. I have also applied advanced optimisation and AI-based control methods to improve decision-making under uncertainty and increasing renewable penetration. This combination of utility-scale operational experience, power system expertise and intelligent control capability allows me to approach grid challenges from both a technical and system-level delivery perspective.</p>

PROJECTS

National Virtual Power Plant (VPP) Pilot

north china
Duration : 17-Jun-2025 - 30-Jun-2026

<p>领导国家级VPP试点的技术架构和提案工作流，将政策、电网代码和电力市场需求转化为可部署的聚合和运营框架。设计了源-电网-负载-储存协调，覆盖现有1.5 GW汇总资源基础，配备200兆瓦可调容量，涵盖灵活负载、储能、预测、边缘控制及市场参与。构建了商业和脱碳案例，包括44.7吉瓦时的可再生能源消耗、12,000吨避免排放、16.06%的预期内部收益率和6.1年的回收率。将工程、商业和监管意见整合进一个可接受审查的国家提交包，支持成功的第一轮评审。</p>

1.9 GW AI-Enabled Fast Frequency Regulation & Energy-Reserve Coordinat

State Grid
Duration : 01-Sep-2020 - 30-Mar-2024

<p>Developed AI-enabled energy-and-reserve coordination methods for a 1.9 GW national demonstration program addressing frequency-security and real-time balancing challenges in high-renewable power systems. Converted frequency-response requirements, reserve needs, renewable uncertainty and physical operating limits into coordinated optimization constraints across wind, solar, thermal generation, storage and controllable loads. Research simulations improved modeled frequency-security margins from 3.87%/4.15% to 8.12%/9.01% and reduced reserve-scheduling cost by up to approximately 17%. The overall 1.9 GW demonstration system was deployed for utility-scale operation, while the quantified optimization results represent research simulation rather than production operating savings.</p>

Certifications

Academic Excellence Scholarship

North China Electric Power University, China (PRC) · Beijing , Beijing , China · 2025

Skills

Grid modernization Digital grid solutions VPP/DER integration BESS Flexibility Solution architecture EMS/SCADA Grid automation System integration Demand response Energy-and-reserve optimization State estimation Python MATLAB
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