| Issue |
E3S Web Conf.
Volume 186, 2020
2020 The 3rd International Conference on Electrical Engineering and Green Energy (CEEGE 2020)
|
|
|---|---|---|
| Article Number | 02003 | |
| Number of page(s) | 9 | |
| Section | Smart Grid Control and Optimization | |
| DOI | https://doi.org/10.1051/e3sconf/202018602003 | |
| Published online | 24 August 2020 | |
Study on the Microgrid Pluripotent Complementary and Comprehensive Economic Optimization Planning Based on Virtual Energy Theory
1
Zhongyuan University of Technology, Zhengzhou, 450007, China
2
HaMi Technical College, HaMi 100875, China
In this paper, a comprehensive economic allocation method based on virtual energy theory for microgrid complementary power supply is proposed, which is successfully applied to the multi energy complementary planning and comprehensive economic planning of an island microgrid. In order to evaluate and optimize the microgrid in the planning stage more objectively based on the characteristics of various combinations of renewable micro generation and flexible operation modes, a new method of the micro-grid comprehensive economic configuration and optimization of the distributed generation is proposed based on virtual energy theory. Firstly, the Micro-grid model structure based on the virtual energy theory is given. Secondly, the virtual energy conversion model of different distributed power generations is also studied. The micro-grid pluripotent complementary and comprehensive economic optimization model (PCCEP) based on virtual energy theory are reached too. Combined with a practical example, a PCCEP method of the micro-grid based on the Homer software platform is discussed. The case study indicates that the method can avoid the uncertainty of the decision-making factors and the subjectivity of expert evaluation. It is shown that the new method is a practical solution for microgrid comprehensive economic optimization planning.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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