Stochastic day-ahead generation scheduling with pumped-storage stations and wind power integrated

2016 ◽  
Author(s):  
J. H. Zheng ◽  
X. Y. Quan ◽  
Z. X. Jing ◽  
Q. H. Wu
Keyword(s):  
Wind Power ◽  
Generation Scheduling ◽  
Pumped Storage

scholarly journals Optimal operation of a pumped-storage hydro plant that compensates the imbalances of a wind power producer

2011 ◽  
Vol 81 (9) ◽  
pp. 1767-1777 ◽  
Author(s):  
Álvaro Jaramillo Duque ◽  
Edgardo D. Castronuovo ◽  
Ismael Sánchez ◽  
Julio Usaola
Keyword(s):  
Wind Power ◽  
Optimal Operation ◽  
Pumped Storage

scholarly journals An Optimal Day-Ahead Thermal Generation Scheduling Method to Enhance Total Transfer Capability for the Sending-Side System with Large-Scale Wind Power Integration

Energies ◽  
2020 ◽  
Vol 13 (9) ◽  
pp. 2375
Author(s):  
Yuwei Zhang ◽  
Wenying Liu ◽  
Yue Huan ◽  
Qiang Zhou ◽  
Ningbo Wang
Keyword(s):  
Wind Power ◽  
Large Scale ◽  
Unit Commitment ◽  
Gansu Province ◽  
Thermal Generation ◽  
Total Transfer Capability ◽  
Generation Scheduling ◽  
Transfer Capability ◽  
Scheduling Method ◽  
The Impact

The rapidly increasing penetration of wind power into sending-side systems makes the wind power curtailment problem more severe. Enhancing the total transfer capability (TTC) of the transmission channel allows more wind power to be delivered to the load center; therefore, the curtailed wind power can be reduced. In this paper, a new method is proposed to enhance TTC, which works by optimizing the day-ahead thermal generation schedules. First, the impact of thermal generation plant/unit commitment on TTC is analyzed. Based on this, the day-ahead thermal generation scheduling rules to enhance TTC are proposed herein, and the corresponding optimization models are established and solved. Then, the optimal day-ahead thermal generation scheduling method to enhance TTC is formed. The proposed method was validated on the large-scale wind power base sending-side system in Gansu Province in China; the results indicate that the proposed method can significantly enhance TTC, and therefore, reduce the curtailed wind power.

scholarly journals Optimal Model for Complementary Operation of a Photovoltaic-Wind-Pumped Storage System

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Jinjin Gao ◽  
Yuan Zheng ◽  
Jianming Li ◽  
Xiaoming Zhu ◽  
Kan Kan
Keyword(s):  
Wind Power ◽  
Storage System ◽  
Optimal Solution ◽  
Multiobjective Problems ◽  
Storage Station ◽  
Compromise Optimal Solution ◽  
Pumped Storage ◽  
Economic Objective ◽  
Single Objective

An optimization model for the complementary operation of a photovoltaic-wind-pumped storage system is built to make full use of solar and wind energy. Apart from ensuring the maximum economic benefit which is normally used as the only objective, the stable objectives of minimizing the output fluctuation and variation of load and output difference are added to form the multiobjective problems because of lack of study on access capacity of photovoltaic and wind power. The model aims to increase the power benefit and reduce the output fluctuation and variation of load and output difference under the constraints of station, output balance, and transmission limitation. In a case study, four schemes including single-objective independent operation, single-objective complementary operation, and multiobjective complementary operation are compared to discuss the effect of pumped storage station on economic objective and stable objectives. Furthermore, the opposite trend of the two objectives is proved and a compromise optimal solution is given. The results indicate that the pumped storage station can effectively increase power benefit and access capacity of photovoltaic and wind power. The study can provide references to the complementary optimization of the pumped storage station and the intermittent renewable energy.

scholarly journals A Multiobjective Robust Scheduling Optimization Mode for Multienergy Hybrid System Integrated by Wind Power, Solar Photovoltaic Power, and Pumped Storage Power

2017 ◽  
Vol 2017 ◽  
pp. 1-15 ◽  
Author(s):  
Lihui Zhang ◽  
He Xin ◽  
Jing Wu ◽  
Liwei Ju ◽  
Zhongfu Tan
Keyword(s):  
Wind Power ◽  
Hybrid System ◽  
Supply And Demand ◽  
Stochastic Theory ◽  
Stochastic Scheduling ◽  
Economic Benefits ◽  
Load Curve ◽  
Scheduling Optimization ◽  
Pumped Storage ◽  
Photovoltaic Generators

Wind power plant (WPP), photovoltaic generators (PV), cell-gas turbine (CGT), and pumped storage power station (PHSP) are integrated into multienergy hybrid system (MEHS). Firstly, this paper presents MEHS structure and constructs a scheduling model with the objective functions of maximum economic benefit and minimum power output fluctuation. Secondly, in order to relieve the uncertainty influence of WPP and PV on system, robust stochastic theory is introduced to describe uncertainty and propose a multiobjective stochastic scheduling optimization mode by transforming constraint conditions with uncertain variables. Finally, a 9.6 MW WPP, a 6.5 MW PV, three CGT units, and an upper reservoir with 10 MW·h equivalent capacity are chosen as simulation system. The results show MEHS system can achieve the best operation result by using the multienergy hybrid generation characteristic. PHSP could shave peak and fill valley of load curve by optimizing pumping storage and inflowing generating behaviors based on the load supply and demand status and the available power of WPP and PV. Robust coefficients can relieve the uncertainty of WPP and PV and provide flexible scheduling decision tools for decision-makers with different risk attitudes by setting different robust coefficients, which could maximize economic benefits and minimize operation risks at the same time.

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