Penalty Electricity Price-Based Optimal Control for Distribution Networks
With the integration of large-scale renewable energy and the implementation of demand response, the complexity and volatility of distribution network operations are increasing. This has led to the inconsistency between the actual net power consumption of power users and their optimal dispatching ord...
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doaj-a5fa599b830547039e1d9aea1a1eca6d2021-03-25T00:05:40ZengMDPI AGEnergies1996-10732021-03-01141806180610.3390/en14071806Penalty Electricity Price-Based Optimal Control for Distribution NetworksQingle Pang0Lin Ye1Houlei Gao2Xinian Li3Yang Zheng4Chenbin He5School of Information and Control Engineering, Qingdao University of Technology, Qingdao 266520, ChinaSchool of Information and Control Engineering, Qingdao University of Technology, Qingdao 266520, ChinaSchool of Electrical Engineering, Shandong University, Jinan 250061, ChinaSchool of Information and Electronic Engineering, Shandong Technology and Business University, Yantai 264005, ChinaSchool of Information and Control Engineering, Qingdao University of Technology, Qingdao 266520, ChinaSchool of Information and Control Engineering, Qingdao University of Technology, Qingdao 266520, ChinaWith the integration of large-scale renewable energy and the implementation of demand response, the complexity and volatility of distribution network operations are increasing. This has led to the inconsistency between the actual net power consumption of power users and their optimal dispatching orders. As a result, the distribution networks cannot operate according to their optimization strategy. The study proposed a penalty electricity price mechanism and the optimal control method based on this electricity price mechanism for distribution networks. First, we established the structure of the distribution network optimal control system. Second, aiming at the actual net power consumption (including power generation and consumption) of power users tracking their dispatching orders, we established a penalty electricity price mechanism. Third, we designed an optimal control strategy and process of distribution networks based on the penalty electricity price. Finally, we verified the proposed method by taking the IEEE-33 node system as an example. The verification results showed that the penalty electricity price could effectively limit the net power consumption fluctuations of power users to achieve optimal control of distribution networks.https://www.mdpi.com/1996-1073/14/7/1806penalty electricity priceoptimal dispatching orderoptimal controlsupply and demand balancedistribution networks |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Qingle Pang Lin Ye Houlei Gao Xinian Li Yang Zheng Chenbin He |
spellingShingle |
Qingle Pang Lin Ye Houlei Gao Xinian Li Yang Zheng Chenbin He Penalty Electricity Price-Based Optimal Control for Distribution Networks Energies penalty electricity price optimal dispatching order optimal control supply and demand balance distribution networks |
author_facet |
Qingle Pang Lin Ye Houlei Gao Xinian Li Yang Zheng Chenbin He |
author_sort |
Qingle Pang |
title |
Penalty Electricity Price-Based Optimal Control for Distribution Networks |
title_short |
Penalty Electricity Price-Based Optimal Control for Distribution Networks |
title_full |
Penalty Electricity Price-Based Optimal Control for Distribution Networks |
title_fullStr |
Penalty Electricity Price-Based Optimal Control for Distribution Networks |
title_full_unstemmed |
Penalty Electricity Price-Based Optimal Control for Distribution Networks |
title_sort |
penalty electricity price-based optimal control for distribution networks |
publisher |
MDPI AG |
series |
Energies |
issn |
1996-1073 |
publishDate |
2021-03-01 |
description |
With the integration of large-scale renewable energy and the implementation of demand response, the complexity and volatility of distribution network operations are increasing. This has led to the inconsistency between the actual net power consumption of power users and their optimal dispatching orders. As a result, the distribution networks cannot operate according to their optimization strategy. The study proposed a penalty electricity price mechanism and the optimal control method based on this electricity price mechanism for distribution networks. First, we established the structure of the distribution network optimal control system. Second, aiming at the actual net power consumption (including power generation and consumption) of power users tracking their dispatching orders, we established a penalty electricity price mechanism. Third, we designed an optimal control strategy and process of distribution networks based on the penalty electricity price. Finally, we verified the proposed method by taking the IEEE-33 node system as an example. The verification results showed that the penalty electricity price could effectively limit the net power consumption fluctuations of power users to achieve optimal control of distribution networks. |
topic |
penalty electricity price optimal dispatching order optimal control supply and demand balance distribution networks |
url |
https://www.mdpi.com/1996-1073/14/7/1806 |
work_keys_str_mv |
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