scholarly journals Multi-objective optimal scheduling strategy for wind power, PV and pumped storage plant in VSC-HVDC grid

2019 ◽  
Vol 2019 (16) ◽  
pp. 3017-3021 ◽  
Author(s):  
Man Xu ◽  
Linlin Wu ◽  
Hui Liu ◽  
Xiao Wang
Keyword(s):  
Wind Power ◽  
Optimal Scheduling ◽  
Scheduling Strategy ◽  
Multi Objective ◽  
Pumped Storage

scholarly journals Unit commitment and dispatch with coordination of wind and pumped storage hydro units by using cuckoo search algorithm

2017 ◽  
Vol 7 (1.1) ◽  
pp. 94
Author(s):  
R. Jayashree ◽  
R. Soundarapandian
Keyword(s):  
Wind Power ◽  
Unit Commitment ◽  
Optimization Problems ◽  
Cuckoo Search ◽  
Bench Mark ◽  
Method Performance ◽  
Total Cost ◽  
Multi Objective ◽  
Comparison Results ◽  
Pumped Storage

This paper proposes a multi objective model for Advanced Unit Commitment (AUC) with wind power and Pumped Storage (PS) units using Cuckoo Search (CS) algorithm. The novelty of the proposed method is improved levy flight searching ability, random reduction and ability to adapt complex optimization problems. Here, the CS algorithm to accommodate wind output uncertainty, with the multi-objective of providing an optimal AUC schedule for the thermal generators in the day-ahead market that minimizes the total cost under the different wind power output scenario. The proposed method is more reliable for AUC because it considering the wind power uncertainty using the Artificial Neural Network (ANN) and PS units, which are significantly reduces the total cost. Then the proposed method is implemented in the MATLAB/simulink platform and tested under IEEE standard bench mark system. The proposed method performance has been verified through the comparison analysis with the existing techniques. The comparison results were proved the superiority of the proposed method.

Multi-Objective Optimization Model of Wind Farm and Pumped Storage Power Station

2014 ◽  
Vol 602-605 ◽  
pp. 2897-2900
Author(s):  
Si Qing Sheng ◽  
Xiao Xia Sun
Keyword(s):  
Wind Power ◽  
Optimization Model ◽  
Wind Farm ◽  
Multi Objective Optimization ◽  
Power Station ◽  
Joint System ◽  
Multi Objective ◽  
Proposed Model ◽  
Wind Rate ◽  
Pumped Storage

This paper presents a multi-objective optimization model to solve the volatility and anti load characteristic of wind power. The pumped storage power station is introduced in this paper. Though pumping and watering, the pumped storage power station can cut peak down to smooth the wind power. Given to the economical efficiency of wind farm, operation efficiency of the wind storage joint system is investigated. In order to improve the wind rate, minimize abandon wind is employed in objective function. To demonstrate the effectiveness of the proposed model, a practical example is tested. The result shows that this model is feasible and effective.

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