Frequency Estimation of Hybrid Power Grid based on Renewable Energy

2021 ◽  
Vol 70 (8) ◽  
pp. 1110-1116
Author(s):  
Kyung-Min Lee ◽  
Chul-Won Park
2014 ◽  
Vol 986-987 ◽  
pp. 498-502
Author(s):  
Wan Lei Xue ◽  
Shan Jie Jia ◽  
Ming Zeng ◽  
Kuan Lu ◽  
Xin Zhao ◽  
...  

The integration of renewable energy resources (RERs) not only shows significant environmental effect, social effect and economic effect, but also brings many challenges to grid planning and economic operation of power grid. Based on systematic dynamics, from the perspective of changes of cost and benefit of grid enterprises caused by the integration of RERs, the effect of the integration of RERs on economical operation of power grid is studied. Finally, a simulation of effect trend based on empirical data of one province demonstrates the validity of the model proposed in this paper.


2019 ◽  
Vol 2019 (16) ◽  
pp. 1117-1121
Author(s):  
Dawei Zhao ◽  
Jin Ma ◽  
Minhui Qian ◽  
Lingzhi Zhu ◽  
Liangzhong Yao ◽  
...  

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zhenning Zhu ◽  
Lingcheng Kong ◽  
Gulizhaer Aisaiti ◽  
Mingzhen Song ◽  
Zefeng Mi

PurposeIn the hybrid electricity market consisting of renewable and conventional energy, the generation output of renewable power is uncertain because of its intermittency, and the power market demand is also fluctuant. Meanwhile, there is fierce competition among power producers in the power supply market and retailers in the demand market after deregulation, which increases the difficulty of renewable energy power grid-connection. To promote grid-connection of renewable energy power in the hybrid electricity market, the authors construct different contract decision-making models in the “many-to-many” hybrid power supply chain to explore the pricing strategy of renewable energy power grid-connecting.Design/methodology/approachConsidering the dual-uncertainty of renewable energy power output and electricity market demand, the authors construct different decision-making models of wholesale price contract and revenue-sharing contract to compare and optimize grid-connecting pricing, respectively, to maximize the profits of different participants in the hybrid power supply chain. Besides, the authors set different parameters in the models to explore the influence of competition intensity, government subsidies, etc. on power pricing. Then, a numerical simulation is carried out, they verify the existence of the equilibrium solutions satisfying the supply chain coordination, compare the differences of pricing contracts and further analyze the variation characteristics of optimal contract parameters and their interaction relations.FindingsRevenue-sharing contract can increase the quantity of green power grid-connection and realize benefits Pareto improvement of all parties in hybrid power supply chain. The competition intensity both of power supply and demand market will have an impact on the sharing ratio, and the increase of competition intensity results in a reduction of power supply chain coordination pressure. The power contract price, spot price and selling price have all been reduced with the increase of the sharing ratio, and the price of renewable power is more sensitive to the ratio change. The sharing ratio shows a downward trend with the increase of government green power subsidies.Originality/valueOn the basis of expanding the definition of hybrid power market and the theory of newsvendor model, considering the dual-uncertainty of green power generation output and electricity market demand, this paper builds and compares different contract decision-making models to study the grid-connection pricing strategy of renewable energy power. And as an extension of supply chain structure types and management, the authors build a “many-to-many” power supply chain structure model and analyze the impact of competition intensity among power enterprises and the government subsidy on the power grid-connecting pricing.


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