山東大學(xué)“稷下風(fēng)”研究生學(xué)術(shù)講壇

講壇題目：Protection and Control Systems and Wide Area Schemes

會議內(nèi)容：

Title: Protection and Control Systems and Wide Area Schemes

Power system state estimation is the enabler of energy management system (EMS), and plays a vital role in power system protection and control. The state estimator is responsible for providing accurate data for the EMS so that it can work so that it can work reliably. To be more specifically, the functions of the state estimator include making the optimal estimate based on a redundant set of measurements (which is true for transmission networks) with certain levels of errors, detecting and identifying bad data, sudden load changes, unreported topology changes and even cyber attacks with false data injection. Classical state estimators have relied on the measurements provided by Supervisory Control and Data Acquisition (SCADA) system to estimate the states. Recently, with the advent of synchronised measurement technology (SMT) facilitated by a new type of measurement device called phasor measurement unit (PMU), state estimator is expected to substantially improve its performance with much higher estimation accuracy and even real-time monitoring of the power system. However, challenges are also established to improve the state estimators so that they can work with SMT and take its full benefits. This lecture will present an introduction of power system state estimation in transmission networks, including details of the functions of the state estimator as given above and a story of how state estimators evolve with the advent of SMT.

Title: Distribution System State Estimation

The key component of DMS (Distribution Management System) is state estimation function. The task of state estimation is to provide an optimal estimate of the complex bus voltages in the entire distribution system by using the set of available measurements. Distribution system state estimation currently employs conventional real-time measurements from SCADA (Supervisory Control and Data Acquisition), which are typically available at the high-to-medium voltage substation. The rest of the distribution network is poorly monitored what causes low redundancy. A large number of pseudo measurements must be provided to achieve a full network observability. Pseudo measurements are usually based on daily profiles from historical database or weather forecast. Consequently, they are characterized by limited accuracy which affects the quality of state estimates. Modern distribution networks are expected to include PMUs (Phasor Measurement Units) in the future, which can increase the accuracy level of state estimation or even pave the path to the real-time state estimation. Unlike transmission networks, distribution networks consist of radially supplied short, untransposed and unbalanced overhead power lines/underground cables. These are characterized with high R/X ratio and could be single-, two- or three-phase. Therefore, the other challenge is development of three-phase state estimation algorithms which are essential for distribution networks. This lecture will present the challenges and solutions for state estimation at distribution level, analyse different types of state estimation algorithms, explain basic functions that state estimator typically includes (topology processor, bad data processing), as well as benefits of employing PMUs in the future distribution networks.

會議形式：視頻網(wǎng)絡(luò)會議，使用騰訊會議軟件，會議房間號：766295191

會議時(shí)間：2020年7月10日（周五） 15：00

主 持 人：山東大學(xué)電氣工程學(xué)院副研究員 蔡德宇

主講人簡介：

金朝陽，山東大學(xué)電氣工程學(xué)院副教授、碩士研究生導(dǎo)師；2013年獲得華北電力大學(xué)和曼徹斯特大學(xué)學(xué)士學(xué)位，2018年獲得曼徹斯特大學(xué)博士學(xué)位。研究方向?yàn)榈蛻T量電力系統(tǒng)關(guān)鍵參數(shù)估計(jì)，電網(wǎng)狀態(tài)估計(jì)。

Dragan ?etenovi?，曼徹斯特大學(xué)多能源網(wǎng)絡(luò)工程博士后研究助理；塞爾維亞克拉古耶瓦茨大學(xué)薩恰克科學(xué)技術(shù)學(xué)院助理教授；2019年獲得塞爾維亞克拉古耶瓦茨大學(xué)博士學(xué)位。研究方向?yàn)榫C合多能源網(wǎng)絡(luò)動態(tài)安全評估的高級狀態(tài)估計(jì)、電力系統(tǒng)故障分析、電力系統(tǒng)保護(hù)、配電網(wǎng)和分布式能源。

主辦：研究生院、黨委研究生工作部

承辦：電氣工程學(xué)院