Penalty Electricity Price-Based Optimal Control for Distribution Networks

Qingle Pang, Lin Ye, Houlei Gao, Xinian Li, Yang Zheng and Chenbin He
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Qingle Pang: School of Information and Control Engineering, Qingdao University of Technology, Qingdao 266520, China
Lin Ye: School of Information and Control Engineering, Qingdao University of Technology, Qingdao 266520, China
Houlei Gao: School of Electrical Engineering, Shandong University, Jinan 250061, China
Xinian Li: School of Information and Electronic Engineering, Shandong Technology and Business University, Yantai 264005, China
Yang Zheng: School of Information and Control Engineering, Qingdao University of Technology, Qingdao 266520, China
Chenbin He: School of Information and Control Engineering, Qingdao University of Technology, Qingdao 266520, China

Energies, 2021, vol. 14, issue 7, 1-16

Abstract: 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.

Keywords: penalty electricity price; optimal dispatching order; optimal control; supply and demand balance; distribution networks (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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