Robust Energy Management for Microgrids With High-Penetration Renewables

By Yu Zhang, Nikolaos Gatsis, Georgios B. Giannakis. IEEE Transactions on Sustainable Energy, 2012

800 citations recorded by the source corpus.

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.

Subfields: Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/286341ed8fabac47a8107b130674ec7385ae9d0b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

In Electrical and Electronic Engineering

Citations in the corpus

Real-Time Energy Management in Microgrids (2017, methodology): “We model the conventional DG generation cost at each time t using a quadratic model [7]”
Real-Time Energy Storage Management for Renewable Integration in Microgrid: An Off-Line Optimization Approach (2015, background): “The off-line energy management problem was studied in [8]–[13] under the ideal assumption that the generated renewable energy and the load demand are either deterministic or known a priori before scheduling.”
A Multiagent-Based Hierarchical Energy Management Strategy for Multi-Microgrids Considering Adjustable Power and Demand Response (2018, background): “A robust energy management strategy for uncertainty aware MGs has been analyzed by [4] while, a hierarchical EMS has been proposed by [5] for preserving the customer privacy.”
Distributed Optimal Energy Management in Microgrids (2015, methodology): “We model the conventional DG generation cost at each time t ∈ T using a quadratic model [10]”
Optimal dispatch for a microgrid incorporating renewables and demand response (2017, background): “Storage devices in microgrids include batteries, flywheels and pumped storage [1,3].”
Optimal economic dispatch of FC-CHP based heat and power micro-grids (2017, background): “In the separated mode, MG is apart from the grid, in which the customers purchase a reliable power from MG, taking into consideration the DG bids [1,2].”
Distributionally Robust Co-Optimization of Energy and Reserve Dispatch (2016, background): “The adjustable robust optimization (ARO) proposed in [22] rises an appealing decision-making paradigm for power system generation scheduling problems without exploiting the PDFs of VER generation, and has resulted fruitful outcomes in recent studies, such as the robust unit commitment [23]–[26], rob”
Optimal Scheduling of an Isolated Microgrid With Battery Storage Considering Load and Renewable Generation Uncertainties (2018, methodology): “To resolve this problem, a number of methods, such as MPC [10]–[12], robust programming [13]–[15], and stochastic programming [16]–[18], have been proposed in recent years.”
State of the Art in Research on Microgrids: A Review (2015, methodology): “In [127], the dual decomposition method is utilized to decompose the original problem into smaller subproblems solved by controllers of DGs, dispatchable loads, DES, and renewable energy sources.”