Stochastic Planning Model for Incremental Distributio Network Considering CVaR and Wind Power Penetration

2019 ◽  
Author(s):  
Xijun Ren ◽  
Na Yang ◽  
Bin Ye ◽  
Yunting Yao ◽  
Ciwei Gao
Keyword(s):  
Wind Power ◽  
Planning Model ◽  
Stochastic Planning

scholarly journals Operation Flexibility Evaluation and Its Application to Optimal Planning of Bundled Wind-Thermal-Storage Generation System

Electronics ◽  
2018 ◽  
Vol 8 (1) ◽  
pp. 9
Author(s):  
Yinghao Ma ◽  
Hejun Yang ◽  
Dabo Zhang ◽  
Qianyu Ni
Keyword(s):  
Wind Power ◽  
Wind Farm ◽  
Storage System ◽  
Thermal Storage ◽  
Dft Method ◽  
Energy Storage System ◽  
Planning Model ◽  
Generation System ◽  
System Operation ◽  
Operation Flexibility

The growing penetration of wind power in a power system brings great challenges to system operation flexibility. For generation planning in presence of high wind power penetration, it is essential to take the operation flexibility of the system into account. Firstly, this paper developed the system operation flexibility metrics through considering the flexibility contribution of thermal generating units (TGUs) by operational state transition. Secondly, a planning model for the bundled wind-thermal-storage generation system (BWTSGS) that considers the operation flexibility constraints is proposed. The planning model is used to determine the power and energy rating of an energy storage system (ESS) as well as the type and number of TGUs. A daily scheduling simulation model of a BWTSGS is proposed to calculate the operation cost for the planning model and consider the sequential operation characteristics of the BWTSGS. Further, in order to accelerate the computation, a wind power sequential clustering technique based on the discrete Fourier transform (DFT) method is developed for improving the computational efficiency. Case studies have been conducted on a 1000-MW wind farm to demonstrate the validity and effectiveness of the proposed model.

scholarly journals Capacity Planning of Distributed Wind Power Based on a Variable-Structure Copula Involving Energy Storage Systems

Energies ◽  
2020 ◽  
Vol 13 (14) ◽  
pp. 3602
Author(s):  
Yurong Wang ◽  
Ruolin Yang ◽  
Sixuan Xu ◽  
Yi Tang
Keyword(s):  
Energy Storage ◽  
Wind Power ◽  
Capacity Planning ◽  
Optimization Theory ◽  
Variable Structure ◽  
Planning Model ◽  
Environmental Benefit ◽  
Time Segment ◽  
Planning Stage ◽  
Study Results

Distributed wind power (DWP) needs to be consumed locally under a 110 kV network without reverse power flow in China. To maximize the use of DWP, this paper proposes a novel method for capacity planning of DWP with participation of the energy storage system (ESS) in multiple scenarios by means of a variable-structure copula and optimization theory. First, wind power and local load are predicted at the planning stage by an autoregressive moving average (ARMA) model, then, variable-structure copula models are established based on different time segment strategies to depict the correlation of DWP and load, and the joint typical scenarios of DWP and load are generated by clustering, and a capacity planning model of DWP is proposed considering investment and operation cost, and environmental benefit and line loss cost under typical scenario conditions. Moreover, a collaborative capacity planning model for DWP and ESS is prospectively proposed. Based on the modified IEEE-33 bus system, the results of the case study show that the DWP capacity result is more reasonable after considering the correlation of wind and load by using a variable-structure copula. With consideration of the collaborative planning of DWP and load, the consumption of DWP is further improved, the annual cost of the system is more economical, and the quality of voltage is effectively improved. The study results validate the proposed method and provide effective reference for the planning strategy of DWP.

Generation Expansion Planning with High Penetration of Wind Power

2016 ◽  
Vol 17 (4) ◽  
pp. 401-423 ◽  
Author(s):  
Ishan Sharan ◽  
R. Balasubramanian
Keyword(s):  
Wind Power ◽  
Mixed Integer ◽  
Planning Model ◽  
Generation Expansion Planning ◽  
Expansion Planning ◽  
Transmission Expansion Planning ◽  
Generation Expansion ◽  
Transmission Expansion ◽  
High Penetration ◽  
Operational Issues

Abstract Worldwide thrust is being provided in generation of electricity from wind. Planning for the developmental needs of wind based power has to be consistent with the objective and basic framework of overall resource planning. The operational issues associated with the integration of wind power must be addressed at the planning stage. Lack of co-ordinated planning of wind turbine generators, conventional generating units and expansion of the transmission system may lead to curtailment of wind power due to transmission inadequacy or operational constraints. This paper presents a generation expansion planning model taking into account fuel transportation and power transmission constraints, while addressing the operational issues associated with the high penetration of wind power. For analyzing the operational issues, security constrained unit commitment algorithm is embedded in the integrated generation and transmission expansion planning model. The integrated generation and transmission expansion planning problem has been formulated as a mixed integer linear problem involving both binary and continuous variables in GAMS. The model has been applied to the expansion planning of a real system to illustrate the proposed approach.

Interregional Electric Power Planning Model Based on Sustainable Development of Wind Power

2015 ◽  
Vol 141 (4) ◽  
pp. 04014040 ◽  
Author(s):  
Yi-hang Song ◽  
Chen Zhang ◽  
Zhong-fu Tan ◽  
Quan-sheng Shi
Keyword(s):  
Sustainable Development ◽  
Electric Power ◽  
Wind Power ◽  
Planning Model ◽  
Model Based

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.

A stochastic planning model for humanitarian relief response logistics

2016 ◽  
Vol 7 (3) ◽  
pp. 250 ◽  
Author(s):  
M. Safeer ◽  
S.P. Anbuudayasankar ◽  
P.G. Saleeshya ◽  
K. Ganesh
Keyword(s):  
Planning Model ◽  
Humanitarian Relief ◽  
Stochastic Planning
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