A Real-Time Price Algorithm Based on Multi-Agent Systems in Microgrid

doi:10.3969/j.issn.1000-7229.2016.03.002

Abstract

Abstract:

To solve the problem of optimal dispatch in microgrid, where consumers are served by multiple controllable energy providers, in combination with the coordinated control mechanism of multi-agent network (MAN), we establish the microgrid energy management system based on fully distributed control. The social welfare maximization problem is decomposed into several sub-problems by dual decomposition scheme, and the optimal Lagrange multiplier of the dual problem is transformed into the real-time pricing, so as to propose a Lambda-Consensus-based real-time pricing algorithm. Based on information exchange mechanism, the power gives feedback to electricity price measurement units and the local price is updated according to the reference value. Then the power dispatch units installed in power supply side and demand side will react to the electricity price and adjust their generation and consumption behaviors within output/input active power constraints. Eventually, power balance and social benefit maximization are achieved. A case validates the effectiveness and plug and play characteristic of the algorithm, which can also reach ideal convergence performance in large-scale microgrid.

Key words: energy management system, social welfare, real-time price, Lambda-Consensus

CLC Number:

TU 47

HU Meixuan, ZHOU Hong, HU Wenshan, LIU Zhiwei. A Real-Time Price Algorithm Based on Multi-Agent Systems in Microgrid[J]. Electric Power Construction, 2016, 37(3): 8-16.

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