Investment Optimization Modeling for Grid Multi-service Based on Hybrid Cuckoo Algorithm
When determining the investment program for emerging business, power grid companies should consider various factors such as regional development stage, business coupling relationship, business resource demand and so on. Based on this, this paper constructs an investment optimization model for emerging and traditional businesses with "maximizing the investment value of traditional and emerging businesses of the grid" as the objective function, considering the constraints of investment amount, marginal benefit of business, and the constraints of business coupling relationship on the basis of investment capacity calculation model and traditional business investment value quantization model, and designs a hybrid cuckoo algorithm to solve the model based on the characteristics of the model. Based on the characteristics of the model, a hybrid cuckoo algorithm is designed to solve the model, and finally an example analysis is carried out according to different development stages.
Authors
- Shuting Jia
- Ling Li (ORCID: https://orcid.org/0009-0007-0536-4451)
- H. Xiong
- Haiyan Huang
- Yuhan Lu (ORCID: https://orcid.org/0000-0002-7210-2749)
- Qing Wang (ORCID: https://orcid.org/0009-0009-1303-9776)
Institutions
- North China Electric Power University (CN)
- Jianghan University (CN)
- Wuhan University (CN)
- Changsha University of Science and Technology (CN)
Publication Details
- Published
- 2024-09-20
- DOI
- https://doi.org/10.1145/3705618.3705664
- Primary Topic
- Power Systems and Renewable Energy
- Type
- article
- Field-Weighted Citation Impact
- 0.00