Multi-level Optimization of Economic Dispatching Based on ADMM Algorithm for Active Distribution Network

doi:10.12204/j.issn.1000-7229.2022.08.008

Abstract

Abstract:

Active distribution network is gradually replacing traditional distribution network, which has the characteristics of flexible dispatching and control, high user interaction and high energy utilization. It achieves the goal of economic optimization under the premise of safe operation of the system. A hierarchical optimal dispatching method based on ADMM algorithm for active distribution network is proposed. Firstly, the hierarchical optimization dispatching model of active distribution network is established with the goal of minimizing the overall operating cost of distribution network. With the help of ADMM algorithm, the model is decomposed into two layers for solving. The upper layer is solved with the goal of minimizing the overall operating cost of distribution network. The lower layer is to reduce the costs of local energy storage operation and power purchase. The upper and lower layers iterate with each other through limited boundary information exchange until the convergence condition is satisfied and the optimal solution is obtained. Finally, an example is designed to test the effectiveness and feasibility of the proposed scheduling method.

Key words: active distribution network(ADN), alternating direction method of multipliers (ADMM), multi-level optimization, economic dispatch

CLC Number:

TM734

LI Junhui, MA Dexuan, ZHU Xingxu, LI Cuiping, HOU Tao. Multi-level Optimization of Economic Dispatching Based on ADMM Algorithm for Active Distribution Network[J]. ELECTRIC POWER CONSTRUCTION, 2022, 43(8): 76-86.

Figures/Tables 19

Fig.1 Structure of an active distribution system

Fig.2 Radial distribution network structure and hierarchical scheduling framework

Fig.3 Regulation capacity of PV inverter

Fig.4 Charging and discharging model of ESS

Fig.5 Active and reactive capacity of ESS

Fig.6 Calculation flowchart of bi-level optimal dispatch model

Fig.7 IEEE 33-node system

Fig.8 Active load of each node

Fig.9 Reactive load of each node

Fig.10 Residual convergence process

Table 1 Comparison of solving time of different penalty coefficients

Fig.11 PV output analysis of typical nodes with different penalty coefficients

Table 2 Comparison of abandoned PV rate of different penalty coefficient distribution network

Fig.12 ESS Output of each node

Fig.13 Comparison of ESS,PV output and shadow price of the 15th node

Fig.14 Voltage variation of each node

Fig.15 Injected active power of each node

Fig.16 Guide price of each node

Fig.17 Comparison of voltage and guide price of the 15th node

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