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Optimal Self-scheduling for a Multi-energy Virtual Power Plant Providing Energy and Reserve Services Under a Holistic Market Framework by Jian Wang; Valentin Ilea; Cristian Bovo; Ning Xie; Yong Wang is a Engineering article available to read on EtoBox.
What is Optimal Self-scheduling for a Multi-energy Virtual Power Plant Providing Energy and Reserve Services Under a Holistic Market Framework about?
This paper addresses a self-scheduling model for a multi-energy virtual power plant (MEVPP) to optimize its day-ahead energy and reserve schedules considering the participation in joint markets. The coordination of energy and reserve services is realized by developing a holistic market framework. MEVPP trades electric energy in day-ahead market and natural gas in natural gas market under the uniform price scheme. MEVPP provides reserve in ancillary service market under the pay-as-bid scheme considering uncertain market clearing prices. Reserve regulations are modeled for the reserve quality provided by MEVPP. MEVPP can sign contracts in capacity market for capacity adequacy. The electricity and natural gas imbalance payments and unsupplied reserve penalty resulting from uncertain PV generation are calculated in real-time. The case studies, based on the practical data from Italian power exchange and transmission system operator, show the economic achievements of MEVPP with multiple markets participation. The advantages of multi-energy coupling in improving flexibility and economic profit are numerically analyzed. MEVPP is proven to be a promising reserve service supplier for TSO. Be
Who reads Optimal Self-scheduling for a Multi-energy Virtual Power Plant Providing Energy and Reserve Services Under a Holistic Market Framework?
It is typically read by researchers, students, and practitioners in Engineering.
- Author
- Jian Wang; Valentin Ilea; Cristian Bovo; Ning Xie; Yong Wang
- Publisher
- Elsevier BV
- Published
- 2023
- Language
- EN
- Field
- Engineering (Physical Sciences)
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