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Your search keyword '"Han, Xingning"' showing total 13 results
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13 results on '"Han, Xingning"'

8. Study on Transient Stability Constrained Optimal Power Flow Model of VSC-MTDC Transmission System Based on Phase Trajectory Concavity-convexity

Author

Zheng Xu, Peng Zhuyi, Hui Cai, Bailiang Liu, Han Xingning, and Chaonan Ying

Subjects
Generator (circuit theory), Control theory, Computer science, Trajectory, Phase (waves), Transient (oscillation), Transmission system, AC power, Stability (probability), Convexity
Abstract

This paper proposes a transient stability constrained optimal power flow model of VSC-MTDC transmission system. Using the concept of transient stability margin based on phase-plane trajectory concavity-convexity, the transient stability constraints are converted to generator active power constraints. Combined with the traditional optimal power flow model and constraints of VSC-MTDC system, the transient stability constrained optimal power flow model can be established. The optimization procedure is also given. According to the desired value of transient stability margin, the optimal generator active power output can be determined. The simulation results in the modified New England 39-bus system validate the effectiveness of the proposed method.

Published
2019

10. Power System Capacity Expansion Under Higher Penetration of Renewables Considering Flexibility Constraints and Low Carbon Policies.

Author

Chen, Xinyu, Lv, Jiajun, McElroy, Michael B., Han, Xingning, Nielsen, Chris P., and Wen, Jinyu

Subjects
RENEWABLE energy sources, ELECTRIC power distribution grids, ELECTRIC power production, EMISSION control, POWER resources
Abstract

Deploying high penetration of variable renewables represents a critical pathway for deep decarbonizing the power sector. The conflict between their temporal variability and limited system flexibility has been largely ignored currently at planning stage. Here, we present a novel capacity expansion model optimizing investment decisions and full-year, hourly power balances simultaneously, with considerations of storage technologies and policy constraints, such as carbon tax and renewable portfolio standards (RPS). Based on a computational efficient modeling formulation, all flexibility constrains (ramping, reserve, minimum output, minimal online/offline time) for the 8760-h duration are incorporated. The proposed model is applied to the northwestern grid of China to examine the optimal composition and distribution of power investments with a wide range of renewable targets. Results indicate that the cost can increase moderately toward 45% of RPS, when properly designing the generation portfolio: prioritizing wind investments, distributing renewable investments more evenly, and deploying more flexible midsize coal and gas units. Reaching higher penetrations of renewables is expensive and the reductions of storage costs are critically important for an affordable low-carbon future. RPS or carbon taxes to reach a same target of emission reduction in China will result in similar overall costs but different generation mixes. [ABSTRACT FROM AUTHOR]

Published
2018
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