Title
Optimal Pricing and Energy Scheduling for Hybrid Energy Trading Market in Future Smart Grid
Abstract
Future smart grid (SG) has been considered a complex and advanced power system, where energy consumers are connected not only to the traditional energy retailers (e.g., the utility companies) but also to some local energy networks for bidirectional energy trading opportunities. This paper aims to investigate a hybrid energy trading market that is comprised of an external utility company and a local trading market managed by a local trading center (LTC). The existence of local energy market provides new opportunities for the energy consumers and the distributed energy sellers to perform the local energy trading in a cooperative manner such that they all can benefit. This paper first quantifies the respective benefits of the energy consumers and the sellers from the local trading and then investigates how they can optimize their benefits by controlling their energy scheduling, in response to the LTC’s pricing. Two different types of the LTC are considered, i.e., i) the nonprofit-oriented LTC which solely aims at benefiting the energy consumers and the sellers, and ii) the profit-oriented LTC which aims at maximizing its own profit while guaranteeing the required benefit for each consumer and seller. For each type of the LTC, the optimal trading problem is formulated and the associated algorithm is further proposed to efficiently find the LTC’s optimal price as well as the optimal energy scheduling for each consumer and seller. Numerical results are provided to validate the benefits of the hybrid energy trading market and the performance of the proposed algorithms.
Year
DOI
Venue
2015
10.1109/TII.2015.2426052
IEEE Transactions on Industrial Informatics
Keywords
Field
DocType
Demand response management, energy trading, hybrid market, monotonic optimization, optimal pricing
Trading strategy,Smart grid,Energy scheduling,Computer science,Energy market,Electric power system,Control engineering,Distributed generation,Energy consumption,Energy trading,Environmental economics
Journal
Volume
Issue
ISSN
PP
99
1551-3203
Citations 
PageRank 
References 
18
1.08
13
Authors
6
Name
Order
Citations
PageRank
Yuan Wu153861.11
Xiaoqi Tan29114.79
Li Ping Qian352949.54
Tsang, D.H.K.422727.39
Wen-Zhan Song5113291.12
Li Yu61509116.88