Study on Multi-objective Planning Optimization of Regional Integrated Energy System Based on Genetic Algorithm-Reference-Cited by-同舟云学术

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Study on Multi-objective Planning Optimization of Regional Integrated Energy System Based on Genetic Algorithm

Published:2022-11-11 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2)
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Author:

Dexin Li¹,Xiangyu Lv¹,Hao Liu²,Zhiwei Wang³,Yibo Li²,Yongli Wang²,Pengxu Dong²

Affiliation:

1. State Grid Jilin Electric Power Research Institute,Changchun,China

2. North China Electric Power University,Beijing,China

3. State Grid Jilin Electric Power Company Limited,Changchun,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10115460/10115466/10116532.pdf?arnumber=10116532

Reference12 articles.

1. Dynamic Modeling and Interaction of Hybrid Natural Gas and Electricity Supply System in Microgrid

2. Study on Several Problems of Regional Integrated Energy System [J];hongjie;Power System Automation,2015

3. Expansion planning method of electricity-gas-heat integrated energy system for calculating the uncertainty of wind power [J];zhe;Power Grid Technology,2018

4. Research on capacity matching optimization and Scheduling of multi-energy flow distributed integrated energy System [J];na;Power Grid Technology,2018

5. Steady state analysis of the natural gas network [J];weiliang;Chinese Journal of Electrical Engineering,2017

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