most citedImproving operational flexibility of integrated energy system with uncertain renewable generations considering thermal inertia of buildings

293 citations · 382 across the 3 of their papers we have counts for

collaborators

6 papers

eess.SP202060 cited

Indicator & crowding Distance-Based Evolutionary Algorithm for Combined Heat and Power Economic Emission Dispatch

Jiaze Sun, Jiahui Deng, Yang Li

Heat and power have become the most indispensable resources. However, the traditional ways of generating power and heat are inefficient and cause high pollution; a CHP (Combined He…

eess.SY2020293 cited

Improving operational flexibility of integrated energy system with uncertain renewable generations considering thermal inertia of buildings

Yang Li, Chunling Wang, Guoqing Li +3

Insufficient flexibility in system operation caused by traditional "heat-set" operating modes of combined heat and power (CHP) units in winter heating periods is a key issue that l…

eess.SP201929 cited

Security-Constrained Multi-Objective Optimal Power Flow for a Hybrid AC/VSC-MTDC System with Lasso-based Contingency Filtering

Yahui Li, Yang Li

In order to coordinate the economy and voltage quality of a meshed AC/VSC-MTDC system, a new corrective security-constrained multi-objective optimal power flow (SC-MOPF) method is…

eess.SP2019

Incorporating demand response of electric vehicles in scheduling of isolated microgrids with renewables using a bi-level programming approach

Yang Li, Kang Li

In this work, a novel optimal scheduling approach is proposed for isolated microgrids (MGs) with renewable generations by incorporating demand response of electric vehicles (EVs).…

eess.SY2019

A false data injection attack method for generator dynamic state estimation

Yang Li, Zhi Li, Liang Chen +1

Accurate and reliable dynamic state quantities of generators are very important for real-time monitoring and control of the power system. The emergence of cyber attacks has brought…

eess.SY2019

Dynamic State Estimation of Synchronous Machines Using Robust Cubature Kalman Filter Against Complex Measurement Noise Statistics

Yang Li, Jing Li, Liang Chen +2

Cubature Kalman Filter (CKF) has good performance when handling nonlinear dynamic state estimations. However, it cannot work well in non-Gaussian noise and bad data environment due…