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Cheng Wang

Researcher at North China Electric Power University

Publications -  83
Citations -  2612

Cheng Wang is an academic researcher from North China Electric Power University. The author has contributed to research in topics: Wind power & Electric power system. The author has an hindex of 18, co-authored 64 publications receiving 1675 citations. Previous affiliations of Cheng Wang include Tsinghua University.

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Energy-Sharing Model With Price-Based Demand Response for Microgrids of Peer-to-Peer Prosumers

TL;DR: For microgrids of peer-to-peer PV prosumers, an energy-sharing model with price-based demand response is proposed and the effectiveness of the method is verified in terms of saving PV pros consumers’ costs and improving the sharing of the PV energy.
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Energy Sharing Management for Microgrids With PV Prosumers: A Stackelberg Game Approach

TL;DR: A Stackelberg game approach for ESM, which includes the profit model of microgrid operator (MGO) and the utility model of PV prosumers, and an hour-ahead optimal pricing model of ESM is proposed.
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Robust Defense Strategy for Gas–Electric Systems Against Malicious Attacks

TL;DR: In this article, the authors proposed a methodology to identify and protect vulnerable components of connected gas and electric infrastructures from malicious attacks, and to guarantee a resilient operation by deploying valid corrective actions, while accounting for the interdependence of the gas pipeline network and power transmission network.
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Convex Optimization Based Distributed Optimal Gas-Power Flow Calculation

TL;DR: In this paper, a convex optimization based distributed algorithm was proposed to solve the multi-period optimal gas-power flow (OGPF) problem in coupled energy distribution systems, where the nonconvex Weymouth gas flow equations were convexified as quadratic constraints.
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Strategic Offering and Equilibrium in Coupled Gas and Electricity Markets

TL;DR: In this article, the equilibrium of the coupled gas and electricity markets, which is driven by the strategic offering behaviors, is studied, where each producer endeavours to maximize its own profit by taking the market clearing process into consideration.