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Meng Cheng

Researcher at Cardiff University

Publications -  26
Citations -  2197

Meng Cheng is an academic researcher from Cardiff University. The author has contributed to research in topics: Electric power system & Population. The author has an hindex of 16, co-authored 26 publications receiving 1507 citations.

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Journal ArticleDOI

Peer-to-Peer energy trading in a Microgrid

TL;DR: Test results in a LV grid-connected Microgrid show that P2P energy trading is able to improve the local balance of energy generation and consumption and the increased diversity of generation and load profiles of peers is ability to further facilitate the balance.
Journal ArticleDOI

Review of Existing Peer-to-Peer Energy Trading Projects

TL;DR: In this paper, the authors compared the similarities and differences of the P2P energy trading trails in different regions of the world and showed that although many of the trails focus on the business models acting similarly to a supplier's role in the electricity sector, it is also necessary to design the necessary communication and control networks that could enable P2PCE energy trading in or among local microgrids.
Proceedings ArticleDOI

Peer-to-peer energy trading in a community microgrid

TL;DR: The feasibility of applying P2P energy trading to reduce costs for energy consumers, and to increase income for DER producers in a community microgrid was investigated in this article, where three representative market paradigms were proposed, i.e., bill sharing, mid-market rate and an auction based pricing strategy.
Journal ArticleDOI

A Bidding System for Peer-to-Peer Energy Trading in a Grid-connected Microgrid

TL;DR: Test results show that P2P energy trading is able to balance local generation and demand, therefore, has a potential to enable a large penetration of RESs in the power grid.
Journal ArticleDOI

Benefits of using virtual energy storage system for power system frequency response

TL;DR: In this article, a Virtual Energy Storage System (VESS) is proposed to store and release energy in response to regulation signals by coordinating the Demand Response (DR) from domestic refrigerators in a city and the response from conventional Flywheel Energy Storage Systems (FESSs).