Tail risk adjusted clean energy portfolios in P2P transactive markets using Rachev ratio

نویسندگان

چکیده

Renewable energy sources (RES) and electric vehicles (EVs) pose ‘energy-risk’ in peer commitments due to their temporal spatial uncertainties. Thus, optimistic the peer-to-peer transactive market (P2P TEM) are improbable. This paper proposes a two-stage master–slave portfolio optimization approach for combining energy-risk of RES EVs, welfare-risk peers, building clean portfolios. The master (MP) refers shares renewable EVs P2P settlement, whereas slave (SP) gives wind-solar mix within renewables. Here, Rachev Ratio (RR), an index used financial selection tail-risk management, is adapted combined with Markowitz Efficient Frontier (EF) find optimal portfolio. Both extreme tails optimized, encouraging outputs far above forecast discouraging those below forecast. obtained by maximizing sum average welfare peers at best (right) worst (left) distribution curve using Stochastic Weight Trade-off Particle Swarm Optimization (SWT-PSO). proposed better terms increased expected output, improved utilization collective welfare.

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ژورنال

عنوان ژورنال: Energy conversion and economics

سال: 2023

ISSN: ['2634-1581']

DOI: https://doi.org/10.1049/enc2.12081