Optimal allocation of generalized heat storage in distribution network of renewable energy
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Published:2023
Issue:2 Part A
Volume:27
Page:1049-1057
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ISSN:0354-9836
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Container-title:Thermal Science
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language:en
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Short-container-title:THERM SCI
Author:
Zhu Yanfang1, He Zhifang1, Yan Lei1, He Weihua1, Zhao Wenna1, Chang Kang2
Affiliation:
1. Dispatching and Control Center of State Grid Shanxi Electric Power Company, Taiyuan, Shanxi, China 2. NARI Group Corporation (State Grid Electric Power Research Institute), Nanjing, Jiangsu, China
Abstract
In order to solve the problem of optimal allocation of general heat resources
in high permeability renewable energy distribution network, an optimal
allocation scheme of general heat resources in renewable energy distribution
network is proposed. The optimal allocation scheme in renewable energy
distribution network is proposed. In this paper, the internal and external
two-layer structure is designed. The outer layer uses genetic algorithm to
search the structural parameters of general energy system, and the inner
layer uses dynamic programming method to get the optimal performance of
general energy system. The internal and external alternate adjustment
methods are used to optimize the general-purpose power distri?bution
capability of the continuous-wave power supply network with different
permeability and controllability, and the proposed method is verified in
IEEE 33 node distribution network. The experimental results show that the
general strength storage capacity is 26.6% and 45.7% higher than that of
the process with a continuous strength renewable permeability of 30% and
40%, respectively. The utility rates were increased by 18.4% and 27.8%,
respectively. Under the condition of high permeability renewable energy, the
proposed method can increase the efficiency of resource management of
distribution network by regulating load, decrease the distribution capacity
of energy stability, and reduce the operation cost of the system.
Publisher
National Library of Serbia
Subject
Renewable Energy, Sustainability and the Environment
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