Robust Energy Management for Microgrids With High-Penetration Renewables
TLDR
To address the intrinsically stochastic availability of renewable energy sources (RES), a novel power scheduling approach is introduced that involves the actual renewable energy as well as the energy traded with the main grid, so that the supply-demand balance is maintained.Abstract:
Due to its reduced communication overhead and robustness to failures, distributed energy management is of paramount importance in smart grids, especially in microgrids, which feature distributed generation (DG) and distributed storage (DS). Distributed economic dispatch for a microgrid with high renewable energy penetration and demand-side management operating in grid-connected mode is considered in this paper. To address the intrinsically stochastic availability of renewable energy sources (RES), a novel power scheduling approach is introduced. The approach involves the actual renewable energy as well as the energy traded with the main grid, so that the supply-demand balance is maintained. The optimal scheduling strategy minimizes the microgrid net cost, which includes DG and DS costs, utility of dispatchable loads, and worst-case transaction cost stemming from the uncertainty in RES. Leveraging the dual decomposition, the optimization problem formulated is solved in a distributed fashion by the local controllers of DG, DS, and dispatchable loads. Numerical results are reported to corroborate the effectiveness of the novel approach.read more
Citations
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State of the Art in Research on Microgrids: A Review
TL;DR: This paper presents a review of issues concerning microgrid issues and provides an account of research in areas related to microgrids, including distributed generation, microgrid value propositions, applications of power electronics, economic issues, micro grid operation and control, micro grids clusters, and protection and communications issues.
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Microgrids energy management systems: A critical review on methods, solutions, and prospects
TL;DR: A comparative and critical analysis on decision making strategies and their solution methods for microgrid energy management systems are presented and various uncertainty quantification methods are summarized.
Journal ArticleDOI
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.
Journal ArticleDOI
Optimization in microgrids with hybrid energy systems – A review
TL;DR: In this article, an extensive literature survey on Hybrid Renewable Energy Systems (HRES) and state-of-the-art application of optimization tools and techniques to microgrids, integrating renewable energies is presented.
Journal ArticleDOI
Distributed Optimal Energy Management in Microgrids
TL;DR: This paper formulate microgrid energy management as an optimal power flow problem, and proposes a distributed EMS where the MGCC and the local controllers jointly compute an optimal schedule.
References
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Book
Convex Optimization
Stephen Boyd,Lieven Vandenberghe +1 more
TL;DR: In this article, the focus is on recognizing convex optimization problems and then finding the most appropriate technique for solving them, and a comprehensive introduction to the subject is given. But the focus of this book is not on the optimization problem itself, but on the problem of finding the appropriate technique to solve it.
Journal ArticleDOI
Autonomous Demand-Side Management Based on Game-Theoretic Energy Consumption Scheduling for the Future Smart Grid
Amir-Hamed Mohsenian-Rad,Vincent W. S. Wong,Juri Jatskevich,Robert Schober,Alberto Leon-Garcia +4 more
TL;DR: This paper presents an autonomous and distributed demand-side energy management system among users that takes advantage of a two-way digital communication infrastructure which is envisioned in the future smart grid.