Qiang Ji
6 Papers
Qiang Ji is an academic researcher. The author has contributed to research in topics: Biology & Engineering. The author has an hindex of 1, co-authored 6 publications.
Chat about Author
Papers
Emission reduction mode of China's provincial transportation sector: Based on “Energy+” carbon efficiency evaluation
TL;DR: Li et al. as mentioned in this paper developed two sets of methods that consider only the energy factor and multiple other factors including energy (energy +), to evaluate and analyse the carbon reduction performance of China's provincial transportation sector, identify the provincial patterns of reducing carbon emissions and propose targeted pathways.
38
Spillover Effects among Electricity Prices, Traditional Energy Prices and Carbon Market under Climate Risk
TL;DR: In this article , a double-layer system based on the spillover effects from a systematic perspective is constructed to explore the connectedness between different electricity markets and other related energy markets in Europe, considering the impact of climate risks.
The Influence of Carbon Price on the Transmission Cost of UHV Power System
Zelong Zhang,Zhao Yang,Yan Hua Yang,Qiang Ji +3 more
- 28 Sep 2022
TL;DR: In this article , an economic evaluation model of UHV power system including carbon price to analyze the cost of per kilowatt hour of transmission was constructed based on the life cycle cost theory.
2
Two stage model of capacity planning and operation optimization for integrated energy system
Bin Che,Baorun Chen,Zhao Yang,Qiang Ji,Yan Hua Yang +4 more
- 28 Feb 2023
TL;DR: In this paper , the capacity planning and operation optimization model for integrated energy system is established, and the optimal hourly scheduling optimization of equipment power in typical weeks is realized; based on the operation scheduling, the classical particle swarm optimization algorithm is selected as the method to solve the double-layer model, the results are analyzed, and return to the upper genetic algorithm to find the optimal capacity allocation, so as to realize the two-stage integrated stochastic optimization strategy.
Optimal Operation of Novel Power System Considering High Proportion of New Energy Uncertainty
Baosheng Chen,Zelong Zhang,Caijuan Qi,Zhao Yan,Qiang Ji +4 more
- 18 Nov 2022
TL;DR: In this article , a scenario based stochastic optimization method is used to simulate the randomness of wind, solar output and load demand, and the synchronous iteration method is adopted to reduce quantities of scenarios generated by Monte Carlo simulation sampling, taking into account the speed of solution and the accuracy of results.