Multi-microgrid Joint Economic Dispatch Based on Alternating Multiplier Method and Shapley Distribution Method

doi:10.12204/j.issn.1000-7229.2021.07.004

Abstract

Abstract:

Aiming at the contradiction between multi-subject benefits and system optimal scheduling under multi-microgrid joint economic dispatch,this paper proposes a multi-microgrid joint economic dispatch model considering dynamic AC power flow constraints for distributed optimization and emerging benefit redistribution. The alternating direction multiplier method (ADMM) is used to convert the global variables such as tie-line power and the power traded between microgrid and the main network into local variables. The overall system optimization goal is achieved on the basis of satisfying the local optimization conditions. And Shapley value method is used to redistribute the emerging benefits according to the marginal contribution of each micro-network to the system,to solve the conflict between system optimization and individual interest. The simulation results of the IEEE 33-node system show that the proposed model can effectively overcome the defects of independent and centralized optimization, significantly improve the regional system economy and local wind and solar power consumption,reduce the communication burden and protect the operation privacy of the microgrid, effectively solve the problem of unfair distribution of emerging benefits among alliance members at the same time.

Key words: multi-microgrid, tie line power interaction, alternating direction multiplier method, dynamic AC power flow constraint, Shapley value method

CLC Number:

TM73

HU Rong, WEI Zhenbo, HUANG Yuhan, DU Cheng, LU Bingwen, FANG Tao. Multi-microgrid Joint Economic Dispatch Based on Alternating Multiplier Method and Shapley Distribution Method[J]. ELECTRIC POWER CONSTRUCTION, 2021, 42(7): 28-38.

Figures/Tables 14

Fig.1 Structure diagram of multi-microgrid interconnection system in local distribution area

Fig.2 Flow chart of distributed optimization solution based on ADMM

Fig.A1 The structure of IEEE 33-node system

Fig.A2 Predicted curve of photovoltaic power

Fig.A3 Predicted power curve of wind

Fig.A4 Predicted power curve of daily load

Table 1 Comparison of operating costs of different microgrids under different strategies元

Table 2 Emerging income and actual operating cost of sub-microgrid

Fig.3 Minimum voltages of nodes (33-node tested)

Fig.4 Maximum power flow of branches (32-branch tested)

Fig.5 Power transmission between microgrids

Fig.6 Power trading between MG and distribution network

Fig.A5 Evolutions of primal and dual residuals for different ρ

Fig.A6 Evolution of objective value for different ρ

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