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 Multi-Stage Transmission Network Planning Considering Transmission Congestion in the Power Market

Energies ◽  
2020 ◽  
Vol 13 (18) ◽  
pp. 4910
Author(s):  
Yixin Huang ◽  
Xinyi Liu ◽  
Zhi Zhang ◽  
Li Yang ◽  
Zhenzhi Lin ◽  
...  
Keyword(s):  
Power System ◽  
Transmission Lines ◽  
Network Planning ◽  
Power Market ◽  
Mixed Integer ◽  
Transmission Network ◽  
Planning Model ◽  
Transmission Congestion ◽  
Multi Stage ◽  
Transmission Network Planning

The uncertainty of generation and load increases in the transmission network in the power market. Considering the transmission congestion risk caused by various uncertainties of the transmission network, the optimal operation strategies of the transmission network under various operational scenarios are decided, aiming for the maximum of social benefit for the evaluation of the degree of scenario congestion. Then, a screening method for major congestion scenario is proposed based on the shadow price theory. With the goal of maximizing the difference between the social benefits and the investment and maintenance costs of transmission lines under major congestion scenarios, a multi-stage transmission network planning model based on major congestion scenarios is proposed to determine the configuration of transmission lines in each planning stage. In this paper, the multi-stage transmission network planning is a mixed integer linear programming problem. The DC power flow model and the commercial optimization software CPLEX are applied to solve the problem to obtain the planning scheme. The improved six-node Garver power system and the simplified 25-node power system of Zhejiang Province, China are used to verify the effectiveness of the proposed multi-stage planning model.

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

Transmission Network Planning Based on Genetic Algorithm in Market Environment

2015 ◽  
Vol 737 ◽  
pp. 273-277
Author(s):  
Hai Ke Liu ◽  
Hai Yang ◽  
Ying Zhang ◽  
Yi Tao Jiang ◽  
Su Juan Zhang
Keyword(s):  
Genetic Algorithm ◽  
Power Transmission ◽  
Model Simulation ◽  
Network Planning ◽  
Minimum Cost ◽  
Transmission Network ◽  
Planning Model ◽  
Market Environment ◽  
Transmission Network Planning ◽  
Hierarchical Genetic Algorithm

This paper establishes a transmission network planning model under uncertainty market environment, and consider N-2 security of the double circuit lines on the same tower. The model is solved with the method of hierarchical genetic algorithm, finally get the future transmission network planning meet the need of reliability and the minimum cost of schemeunder uncertain environment .To build a simulation model, simulation the security impact of building circuits on the same tower to power transmission network planning.

Transmission Network Planning Scheme Considering N-2 Security under the Market Environment

2014 ◽  
Vol 986-987 ◽  
pp. 639-642
Author(s):  
Shen Quan Yang ◽  
Xing Wang Hu ◽  
Zhi Jie Zheng ◽  
Kui Hua Wu ◽  
Yi Qun Wang
Keyword(s):  
Genetic Algorithm ◽  
Transmission Line ◽  
Simulation Model ◽  
Network Planning ◽  
Transmission Network ◽  
Planning Model ◽  
Transmission Network Planning ◽  
Planning Scheme ◽  
The Impact ◽  
Hierarchical Genetic Algorithm

Traditional Transmission Network Planning scheme only considers N and N-1 security , with little regard for safety of N-2 system. This paper introduces the relaxation factor establishing Transmission Network Planning model, and further considers the N-2 secure of double-circuit transmission line on the basis of relaxation on the N-1 constraints. A hierarchical genetic algorithm (HGA) Model is proposed to solve the model.The final Transmission Network Planning scheme meets the reliability requirements under uncertain environment and has the minimum overall cost.A simulation model to simulate the impact of construction of the same tower line on the investment and security of transmission network planning is builded.

Distribution Network Planning Based on Multi-Island Group Strategy Genetic Algorithm

2014 ◽  
Vol 960-961 ◽  
pp. 964-968
Author(s):  
Si Qing Sheng ◽  
Shao Bo Yang
Keyword(s):  
Genetic Algorithm ◽  
Closed Loop ◽  
Distribution Network ◽  
Network Planning ◽  
Local Optimum ◽  
Planning Model ◽  
Slow Convergence ◽  
Group Strategy ◽  
Island Group ◽  
Distribution Network Planning

In view of faults which the traditional genetic algorithm (GA) have such as slow convergence speed and easy to fall into the local optimum. This paper put forward a genetic algorithm which is based on the multi-island group strategy, and applied it to the distribution network planning. The paper has established a planning model which takes the yearly comprehensive cost as objective function and discusses the repair methods of islands, solitary chain and closed-loop to meet with the requirements of grid radial. Finally, the proposed method is planning on a 54-node grid to prove the effectiveness of the algorithm and model.

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