scholarly journals Multi-stage power source and grid coordination planning method considering grid uniformity

2020 ◽  
Vol 3 (4) ◽  
pp. 303-312
Author(s):  
Zhiqi Li ◽  
Xueshan Han ◽  
Ming Yang ◽  
Yiran Ma
2021 ◽  
Author(s):  
Yunman Li ◽  
Hongjun Gao ◽  
Shuaijia He ◽  
Haibo Li ◽  
Hongcai Zhang ◽  
...  

2021 ◽  
Vol 9 ◽  
Author(s):  
Donglou Fan ◽  
Xun Dou ◽  
Yang Xu ◽  
Chen Wu ◽  
Guiyuan Xue ◽  
...  

Integrated energy system (IES) planning is a long-term and rolling decision-making process. According to System Development Theory, the development-needs at different stages are different. Therefore, an IES dynamic multi-stage planning method considering different development stages is proposed. The first step of the method is putting forward a model based on the degree of system coupling, the reserve ratio, and the penetration rate of clean energy to divide dynamic development stages. Secondly, establishing a dynamic multi-stage planning model of the IES by combining the needs of different development stages through dynamic goals and constraints. Finally, the results given by the optimal configuration of critical IES equipment will be analysed in different scenarios. Following these steps, the result shows that the dynamic multi-stage planning method proposed is able to reduce the total planning cost of the system by 14% and reducing the clean energy penetration rate by 3%. Therefore, the proposed dynamic multi-stage planning scheme is effective and economical.


Robotica ◽  
2014 ◽  
Vol 33 (9) ◽  
pp. 1869-1885 ◽  
Author(s):  
Pooya Mobadersany ◽  
Sohrab Khanmohammadi ◽  
Sehraneh Ghaemi

SUMMARYPath planning is one of the most important fields in robotics. Only a limited number of articles have proposed a practical way to solve the path-planning problem with moving obstacles. In this paper, a fuzzy path-planning method with two strategies is proposed to navigate a robot among unknown moving obstacles in complex environments. The static form of the environment is assumed to be known, but there is no prior knowledge about the dynamic obstacles. In this situation, an online and real-time approach is essential for avoiding collision. Also, the approach should be efficient in natural complex environments such as blood vessels. To examine the efficiency of the proposed algorithm, a drug delivery nanorobot moving in a complex environment (blood vessels) is supposed. The Monte Carlo simulation with random numbers is used to demonstrate the efficiency of the proposed approach, where the dynamic obstacles are assumed to appear in exponentially distributed random time intervals.


2018 ◽  
Vol 22 (S4) ◽  
pp. 8985-8997 ◽  
Author(s):  
Dunnan Liu ◽  
Shaojie Ouyang ◽  
Rui Ge ◽  
Mo Yang ◽  
Xiaochun Zhang ◽  
...  

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