Unlike traditional optimal power flow strategies, the MPC approach allows calculating and implementing time-varying control actions. Then, the predictive scheme can adjust its active and reactive power dispatch over time based on the forecasted variables and the disturbances in generation and demand.
Besides, the communication delay problems can be reduced. In this paper, a novel distributed model predictive control (DMPC) strategy based on voltage observer for multiple energy storage systems (ESs) is firstly proposed to achieve a tradeoff between voltage regulation and power sharing.
The proposed algorithms optimize operating costs, schedule the charging and discharging of the storage units (SUs), perform voltage regulation, reduce active power losses, and ensure the balance between generation and demand. These processes provide valuable insights into the MPC concept for adjusting predictive energy-management strategies.
2.2. MPC for solving the power flow problem MPC uses a prediction model of the microgrid to forecast its behavior over a specified time horizon. By considering future energy demand, generation, and SUs states, MPC can anticipate and account for SUs dynamics in the active and reactive power dispatch decisions.
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B. Model Predictive Control MPC is an optimisation-based control technique that uses state-space based predictions to form optimal inputs to a sys-tem over a prediction …
The intermittent nature of the main renewable energy sources has led to the proposal of several energy storage devices to increase the performance, stability, and …
This paper presents the improvements of the hosting capacity of photovoltaics (PVs) and electric vehicles (EVs) in a stand-alone microgrid (MG) with an energy storage system …
This paper describes an approach to the formulation of a model-based predictive control (MPC) algorithm for the cooling plant of a building under a time-dependent electricity …
This paper proposes a novel distributed model predictive control (DMPC) scheme for frequency regulation of multi-area power systems with substantial renewable power …
An Energy Storage System (ESS) is a potential solution to increase the energy efficiency of low voltage distribution networks whilst reinforcing the power system. In this …
In this paper, a novel distributed model predictive control (DMPC) strategy based on voltage observer for multiple energy storage systems (ESs) is firstly proposed to achieve a …
This paper introduces a Model Predictive Control (MPC)-based BEMS designed to achieve a balance between zero-carbon emissions and privacy protection. The proposed …
Research papers Comprehensive analysis of MPC-based energy management strategies for isolated microgrids empowered by storage units and renewable energy sources
Load Frequency Control (LFC) has become a more challenging issue, especially with the increases in generation''s unpredictability, inconsistency, and load variations leading to …
The electric storage system, typically a household battery, plays a key role in residential energy management by offering the flexibility to store and release energy during …
This paper presents the improvements of the hosting capacity of photovoltaics (PVs) and electric vehicles (EVs) in a stand-alone microgrid (MG) with an energy storage system …
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Abstract—This paper proposes a novel distributed model pre-dictive control (DMPC) scheme for frequency regulation of multi-area power systems with substantial …
The microgrid contains a PV system with energy storage systems, including a battery and supercapacitor. The proposed control strategy is based on a LSTM-TCN model …
A Model Predictive Control (MPC) based solution is developed that includes distributed power sources and energy storage devices. Rolling optimization was carried out …
The virtual energy storage (VES) is an innovative, economical and efficient technology that gives building energy storage capability using the thermal inertia …
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