Title :
An integrated energy exchange scheduling and pricing strategy for multi-microgrid system
Author :
Pan Li ; Xiaohong Guan ; Jiang Wu ; Dai Wang
Author_Institution :
Minist. of Educ. Key Lab. for Intell. Networks & Network Security, Xi´an Jiaotong Univ., Xi´an, China
Abstract :
Microgrid is a low-voltage distribution network which comprises various distributed generators, storage devices and loads. This paper presents an integrated energy exchange scheduling strategy between a multi-microgrid system and the main grid for the Microgrid Centrol Controller (MGCC). The MGCC, also called as the aggregator, aims at minimizing the total electricity cost of the multi-microgrid system while meeting the market obligation. The aggregated scheduling problem is formulated as a linear programming constrained by physical requirements of microgrids. From this linear programming, several dual variables, which are representative of the marginal cost of proper constraints, are manipulated to form the adjusted price which is the modification of original electricity price. With this pricing strategy, a decentralized optimal scheduling strategy is proposed for the MGCC. The simulation results show that such a scheduling strategy can meet the market obligation and satisfy the needs of the consumer load while achieving the lowest possible cost.
Keywords :
cost reduction; distributed power generation; linear programming; power distribution economics; power generation economics; power generation scheduling; power markets; pricing; MGCC; aggregated scheduling problem; consumer load; decentralized optimal scheduling strategy; distributed generators; electricity price; integrated energy exchange scheduling strategy; linear programming; low-voltage distribution network; market obligation; microgrid centrol controller; multimicrogrid system; pricing strategy; storage devices; total electricity cost minimization; Batteries; Electricity; Linear programming; Microgrids; Optimal scheduling; Pricing; Smart grids; Microgrid; dual variable; energy exchange; linear programming; pricing strategy;
Conference_Titel :
TENCON 2013 - 2013 IEEE Region 10 Conference (31194)
Conference_Location :
Xi´an
Print_ISBN :
978-1-4799-2825-5
DOI :
10.1109/TENCON.2013.6718889