Probabilistic indexes and evaluation method for network structure adaptability with high-penetration renewable energy

The Journal of Engineering

  ^{1    1    1    2    2    2} 

[1] East China Branch of State Grid Corporation of China, Shanghai, 200122, People's Republic of China;Key Laboratory of Control of Power Transmission and Conversion, Shanghai Jiao Tong University, Shanghai, 200240, People's Republic of China;

关键词: Monte Carlo methods;    probability;    power system economics;    power system reliability;    load dispatching;    renewable energy sources;    optimal economic dispatch model;    reliability;    AC-DC hybrid network;    probabilistic evaluation method;    probabilistic indexes method;    modified IEEE 30-bus system;    Monte Carlo simulation method;    future power systems;    high-penetration renewable energy;    network structure adaptability;   

DOI  :  10.1049/joe.2018.9229

来源: publisher

【 摘 要 】

High-penetration renewable energy and AC/DC hybrid network are two main basic characteristics of future power systems. Evaluating different networks' structure adaptability is extremely important for the power system to keep economical, safe, reliable and flexible. Firstly, the basic characteristic and the definition of network structure adaptability are given under the background of strong randomness. On this basis, several probable indexes of structure adaptability are proposed. After that, a practical calculation method is put forward, in which the Monte Carlo simulation method and the optimal economic dispatch model are used. Case studies are carried out on the modified IEEE 30-bus system, and the simulation results show that the proposed indexes can effectively reflect the adaptability of different network structures with the integration of high-penetration renewable energy.

【 授权许可】

CC BY