Paper
13 May 2024 The fuzzy planning of the investment and cost for distributed generation in novel power system
Sheng-wei Lu, Zi-xia Sang, Jiong Yan, Ming Zhou, Qiang Wu
Author Affiliations +
Proceedings Volume 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023); 131590S (2024) https://doi.org/10.1117/12.3024260
Event: Eighth International Conference on Energy System, Electricity and Power (ESEP 2023), 2023, Wuhan, China
Abstract
The uncertainty impacts of the distributed generations are considered to establish a configuration planning method for the distribution systems. Based on the fuzzy theory, the active and reactive power models of wind-driven generators and photovoltaic cells are formulated. Moreover, the minimum value of the annual average operating cost and the fuzzy expectation value are formulated as objective function, and the nodal voltage, network topology constraints and tidal current balance are formulated as constraints in the planning model. In accordance with fuzzy expectation value theory and boundary value-based distribution network, the fuzzy power flow calculation method is used to improve the integer coding method by genetic algorithm. Case study shows the feasibility and practicability of the proposed method.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Sheng-wei Lu, Zi-xia Sang, Jiong Yan, Ming Zhou, and Qiang Wu "The fuzzy planning of the investment and cost for distributed generation in novel power system", Proc. SPIE 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023), 131590S (13 May 2024); https://doi.org/10.1117/12.3024260
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KEYWORDS
Fuzzy logic

Network architectures

Genetic algorithms

Power grids

Wind speed

Wind turbine technology

Photovoltaics

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