Stochastic model predictive control for optimal economic operation of a residential DC microgrid

Gulin, Marko; Matuško, Jadranko; Vašak, Mario

doi:10.1109/icit.2015.7125149

Cited by 37 publications

(19 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Some studies, such as [42], showed the use of model predictive control (MPC) for optimal power exchanges, using already existing prediction data. The stochastic model predictive control for optimal economic operation (OEO) based on the linear programming (LP) of a residential DC microgrid was proposed in [43]. Some researches, such as [40], were based only on the prediction of critical load levels for the alternating current (AC) OPF dispatch model, based on a heuristic algorithm.…”

Section: Methods For Data Forecast In a Microgridmentioning

confidence: 99%

Evaluating the Economic Benefits of a Smart-Community Microgrid with Centralized Electrical Storage and Photovoltaic Systems

et al. 2020

View full text Add to dashboard Cite

In this paper, an innovative method for managing a smart-community microgrid (SCM) with a centralized electrical storage system (CESS) is proposed. The method consists of day-ahead optimal power flow (DA-OPF) for day-ahead SCM managing and its subsequent evaluation, considering forecast uncertainties. The DA-OPF is based on a data forecast system that uses a deep learning (DL) long short-term memory (LSTM) network. The OPF problem is formulated as a mathematical mixed-integer nonlinear programming (MINLP) model. Following this, the developed DA-OPF strategy was evaluated under possible operations, using a Monte Carlo simulation (MCS). The MCS allowed us to obtain potential deviations of forecasted data during possible day-ahead operations and to evaluate the impact of the data forecast errors on the SCM, and that of unit limitation and the emergence of critical situations. Simulation results on a real existing rural conventional community endowed with a centralized community renewable generation (CCRG) and CESS, confirmed the effectiveness of the proposed operation method. The economic analysis showed significant benefits and an electricity price reduction for the considered community if compared to a conventional distribution system, as well as the easy applicability of the proposed method due to the CESS and the developed operating systems.Energies 2020, 13, 1764 2 of 21 Centralized and Decentralised Energy Storage SystemFor an SCM, there are two main common options to place storage units-a centralised energy storage system (CESS) and a decentralised energy storage system (DESS). Existing research deals with CESS and DESS, describing their useful properties, limitations, and applications.Generally, energy storage systems (ESSs) are used in microgrids to compensate the intermittent nature of RE, to improve the RE penetration level and to grow the self-consumption rate, reducing dependence on the grid [6]. The CESS represents a central ESS that is directly operated by the energy management system (EMS) of a microgrid. A DESS represents numerous small ESSs allocated in a microgrid. They can be operated by local users, by aggregators, or by the central EMS. The CESS increases the overall efficiency and the resiliency of the microgrid [7], whereas, on the other side, the DESS maximises the local impact of ESSs to adjust to local load profiles [8].According to the study presented in [9], the deployment of a DESS reduces the power losses in the distribution network and can support the load demand with a rapid response [10]. Nonetheless, the deployment of a DESS needs an appropriate mature infrastructure and a control mechanism, both of which are more expensive and complex than those required in the case of a CESS.According to [1], for the same operating conditions of the photovoltaics (PV) generation and ESS capacity, a CESS exhibits a better (of about 17%) reduction of the grid power use, compared to a DESS. In [11], the authors revealed that by using a CESS for the operation of a microgrid, lower operational costs c...

show abstract

Section: Methods For Data Forecast In a Microgridmentioning

confidence: 99%

Evaluating the Economic Benefits of a Smart-Community Microgrid with Centralized Electrical Storage and Photovoltaic Systems

et al. 2020

View full text Add to dashboard Cite

show abstract

“…(b) DOPF strategies for DC microgrids with multiple ES systems connected at a common DC bus are presented in [101], [102]. [103], the DC microgrid DOPF problem is formulated as a non-convex quadratically constrained quadratic program and a convex relaxation is presented which can be solved using second-order cone programming.…”

Section: Centralised DC Microgrid Tertiary Controlmentioning

confidence: 99%

Control Strategies for Microgrids With Distributed Energy Storage Systems: An Overview

Morstyn

Hredzak

Agelidis

2018

IEEE Trans. Smart Grid

359

151

View full text Add to dashboard Cite

 Users may download and print one copy of any publication from the public portal for the purpose of private study or research.  You may not further distribute the material or use it for any profit-making activity or commercial gain  You may freely distribute the URL identifying the publication in the public portal If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim.

show abstract

“…B. ADP Based Optimization Approach 1) Lookup Tables Approximation: According to MDP theory, the stochastic optimization problem of the form (14) can be reformulated as the MDP problem and solved recursively using the Bellman's equation (27).…”

Section: ) State Variables and Decision Variablesmentioning

confidence: 99%

“…In addition to nonlinearities, the uncertainties brought by distributed renewable energy and demand side makes the real-time scheduling of the microgrid even more challenging. To cope with the uncertainties, several approaches such as chance constraints method [27], scenario tree method [28], etc. are proposed.…”

Section: Introductionmentioning

confidence: 99%

Optimal Real-Time Operation Strategy for Microgrid: An ADP-Based Stochastic Nonlinear Optimization Approach

Shuai

Fang

et al. 2019

IEEE Trans. Sustain. Energy

122

View full text Add to dashboard Cite

Stochastic model predictive control for optimal economic operation of a residential DC microgrid

Cited by 37 publications

References 13 publications

Evaluating the Economic Benefits of a Smart-Community Microgrid with Centralized Electrical Storage and Photovoltaic Systems

Evaluating the Economic Benefits of a Smart-Community Microgrid with Centralized Electrical Storage and Photovoltaic Systems

Control Strategies for Microgrids With Distributed Energy Storage Systems: An Overview

Optimal Real-Time Operation Strategy for Microgrid: An ADP-Based Stochastic Nonlinear Optimization Approach

Contact Info

Product

Resources

About