scholarly journals Multi - Objective Transmission Network Planning with Consideration of Power Grid Vulnerability and Wind Power Accommodation

2013 ◽  
Vol 6 (3) ◽  
pp. 30-34
Author(s):  
Chun - guang Tian ◽  
◽  
Xiang - yu Lu ◽  
Li - se Chu ◽  
Tian Dong ◽  
...  
Keyword(s):  
Wind Power ◽  
Power Grid ◽  
Network Planning ◽  
Transmission Network ◽  
Multi Objective ◽  
Transmission Network Planning

scholarly journals MOEAD based transmission network planning with wind power generation

2018 ◽  
Vol 153 (2) ◽  
pp. 022030
Author(s):  
Xiaoming Wang ◽  
Xudan Gou ◽  
Hanlin Chen ◽  
Xuexia Zhang ◽  
Bo Sun ◽  
...  
Keyword(s):  
Power Generation ◽  
Wind Power ◽  
Network Planning ◽  
Wind Power Generation ◽  
Transmission Network ◽  
Transmission Network Planning

scholarly journals Multiobjective Transmission Network Planning considering the Uncertainty and Correlation of Wind Power

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Yuan Hu ◽  
Zhaohong Bie ◽  
Yanling Lin ◽  
Guangtao Ning ◽  
Mingfan Chen ◽  
...  
Keyword(s):  
Wind Power ◽  
Network Planning ◽  
Estimation Method ◽  
Wind Farms ◽  
Point Estimation ◽  
Local Optimum ◽  
Transmission Network ◽  
Planning Model ◽  
Transmission Network Planning ◽  
Point Estimation Method

In order to consider the uncertainty and correlation of wind power in multiobjective transmission network expansion planning (TNEP), this paper presents an extended point-estimation method to calculate the probabilistic power flow, based on which the correlative power outputs of wind farm are sampled and the uncertain multiobjective transmission network planning model is transformed into a solvable deterministic model. A modified epsilon multiobjective evolutionary algorithm is used to solve the above model and a well-distributed Pareto front is achieved, and then the final planning scheme can be obtained from the set of nondominated solutions by a fuzzy satisfied method. The proposed method only needs the first four statistical moments and correlation coefficients of the output power of wind farms as input information; the modeling of wind power is more precise by considering the correlation between wind farms, and it can be easily combined with the multiobjective transmission network planning model. Besides, as the self-adaptive probabilities of crossover and mutation are adopted, the global search capabilities of the proposed algorithm can be significantly improved while the probability of being stuck in the local optimum is effectively reduced. The accuracy and efficiency of the proposed method are validated by IEEE 24 as well as a real system.

scholarly journals Research on new transmission network planning considering adjustable comprehensive resources

2021 ◽  
Vol 329 ◽  
pp. 01014
Author(s):  
Zhenghua Chen ◽  
Junjie Cao ◽  
Shengzhi Lu ◽  
Yezhang Cao ◽  
Shanshan Zheng ◽  
...  
Keyword(s):  
Large Scale ◽  
Power Grid ◽  
Network Planning ◽  
Utilization Rate ◽  
Transmission Network ◽  
Transmission Network Planning ◽  
New Energy ◽  
Planning Methods ◽  
Power Grid Planning ◽  
Grid Planning

With the large-scale renewable energy grid integration, the problems of traditional transmission network planning methods, such as high investment, low utilization rate and difficulty in implementation, have gradually emerged. Therefore, in order to improve the level of new energy consumption, effectively improve the operation efficiency of power grid and optimize the investment benefit, this paper proposes a new mode of power grid planning based on adjustable integrated resources. This paper focuses on two key planning methods: new energy confidence capacity assessment methods and load forecasting methods considering demand side resources.Then the paper takes a city-level 220 KV power grid as an example, applies a new power grid planning method to carry out planning, and verifies the effectiveness of the proposed planning model and method.

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