Journal
IEEE ACCESS
Volume 5, Issue -, Pages 8194-8204Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2017.2691316
Keywords
Micro virtual power plant (mu VPP); active distribution system market (ADSM); distribution system operator (DSO); bilevel EPEC; coevolutionary computation
Categories
Funding
- EPSRC [EP/L017725/1, EP/N032888/1]
- Engineering and Physical Sciences Research Council [EP/N032888/1, EP/L017725/1] Funding Source: researchfish
- EPSRC [EP/N032888/1, EP/L017725/1] Funding Source: UKRI
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To further liberalize the retail electricity market, this paper establishes a novel active distribution system market (ADSM) to encourage the new entries of micro virtual power plants (mu VPPs) as prosumers. mu VPPs compete with traditional retailers by submitting price-quantity bids/offers for energy and reserve resources. The joint operation of energy and reserve market is modeled as a bilevel equilibrium problem with equilibrium constraints (EPEC) with an upper-level objective that maximizes all mu VPPs' profit and a lower level objective that maximizes social welfare of the market clearing process. A coevolutionary approach is successfully employed to determine the pure strategy Nash equilibrium of the EPEC model. The case studies demonstrate the effectiveness of the coevolutionary method and show that mu VPPs' bidding/offering strategies depend significantly on the penetration level of distributed energy resources and renewable energy sources and they can be considerably influenced by rivals' strategies. This paper then compares mu VPPs' performances under different market structures and addresses the advantages of the proposed ADSM in terms of higher asset utilization rate, higher economic profit, and more secured return on investment.
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