Collaborative Optimized Operation Model of Multi-Character Distribution Network Considering Multiple Uncertain Factors and Demand Response

Zifa Liu, Jieyu Li, Yunyang Liu, Puyang Yu and Junteng Shao
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Zifa Liu: School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China
Jieyu Li: School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China
Yunyang Liu: State Grid Beijing Electric Power Economic Technology Institute Co., Ltd., Beijing 100055, China
Puyang Yu: School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China
Junteng Shao: School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China

Energies, 2022, vol. 15, issue 12, 1-19

Abstract: As many new devices and factors, such as renewable energy sources, energy storage (ESs), electric vehicles (EVs), and demand response (DR), flood into the distribution network, the characteristics of the distribution network are becoming complicated and diversified. In this study, a two-layer collaborative optimized operation model for the multi-character distribution network considering multiple uncertain factors is proposed to achieve optimal dispatching of ES and EV and obtain the optimal grid structure of the distribution network. Based on basic device models of distribution network, the upper layer distribution network reconfiguration (DNR) model is established and solved by the particle swarm optimization (PSO) based on the Pareto optimality and the Prim algorithm. Then, the lower layer optimal dispatching model of ES and EV is established and solved by the binary PSO. The upper layer model and the lower layer model are integrated to form the collaborative optimized operation model for the multi-character distribution network and solved by iterating the upper and lower layers continuously. A case study is conducted on the IEEE 33-bus system. The simulation results show that the total network loss and the voltage deviation are decreased by 15.66% and 15.52%, respectively, after optimal dispatching of ES and EV. The total network loss and the voltage deviation are decreased by 28.39% and 44.46%, respectively, after the DNR with distributed generation (DG) and EV loads with little impact on the average reliability of the power supply. The total network loss and the voltage deviation are decreased by 26.54% and 27.04%, respectively, after the collaborative optimized operation of the multi-character distribution network. The collaborative optimized operation of the distribution network can effectively reduce the total cost by 114.45%, which makes the system change from paying to gaining.

Keywords: distribution network reconfiguration; energy storage; electric vehicle; renewable energy source; multi-character system; collaborative operation (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: 2022
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