Optimal Allocation of PV Systems on Unbalanced Networks Using Evolutionary Algorithms
Author:
Affiliation:
1. Oracle Energy and Water, Oracle Corporation,Austin,TX,USA
2. Business School, Baylor University,Waco,TX,USA
3. Business School, University of Manchester,Manchester,UK
4. Baylor University,Electrical & Computer Engineering,Waco,TX,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10371778/10371788/10371879.pdf?arnumber=10371879
Reference13 articles.
1. Local Energy Trading in Future Distribution Systems
2. Comprehensive overview of optimizing PV-DG allocation in power system and solar energy resource potential assessments
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4. Application of Newton-based load flow methods for determining steady-state condition of well and ill-conditioned power systems: A review
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Assessing PV Integration with Evolutionary Algorithms: Insights from the 2024 Competition on Evolutionary Computation in the Energy Domain;Proceedings of the Genetic and Evolutionary Computation Conference Companion;2024-07-14
2. A Comparative Study of Optimal PV Allocation in a Distribution Network Using Evolutionary Algorithms;Energies;2024-01-20
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