Efficient energy management for a grid‐tied residential microgrid

Abstract

In this paper, an effective energy management system (EMS) for application in integrated building and microgrid system is introduced and implemented as a multi-objective optimization problem. The proposed architecture covers different key modelling aspects such as distributed heat and electricity generation characteristics, heat transfer and thermal dynamics of sustainable residential buildings and load scheduling potentials of household appliances with associated constraints. Through various simulation studies under different working scenarios with real data, different system constraints and user's objectives, the effectiveness and applicability of the proposed model is studied and validated compared to the existing residential EMSs. The simulation results demonstrate that the proposed EMS has the capability not only to conserve energy in sustainable homes and microgrid system and to reduce energy consumption costs accordingly, but also to satisfy user's comfort level through optimal scheduling and operation management of both demand and supply sides.

Scheduling of grid‐tied battery energy storage system participating in frequency response services and energy arbitrage

“…In this paper, we focus on an optimized utilization of the available stored energy in a gridtied BESS operating in grid frequency regulation services. In literature, there are various research works that have dealt with the energy management issue in grid scale energy storage systems and also control strategies for grid-tied BESS operating in frequency regulation with regard to different points of functionality and objectives [14]. Several methods in the smart grid environment have been developed to optimally manage the energy flowing on the smart system.…”

Cross‐regional integrated energy system scheduling optimization model considering conditional value at risk

“…In addition, the research results of Adam's research team in the field of integrated energy systems are also worth learning, especially in operation management and scheduling of energy systems, the regional interconnection of energy systems, and risk research. In terms of operation management and scheduling of energy systems, an ontology‐driven multi‐agent based energy management system is proposed for monitoring and optimal control of an integrated homes/buildings and microgrid system, 14,15 an efficient strategy is developed to control local operation of each microgrid including the amount of energy to be requested from the main grid and the optimal charging/discharging patterns of batteries along with the transferred power among microgrids considering system's technical constraints, 16 a novel multi‐objective bidding strategy framework is proposed for a wind‐thermal photovoltaic system in the deregulated electricity market, 17 an optimization framework is developed for optimal operation of a CHP system in an uncertain environment considering demand response actions, 18 a conventional waste‐driven combined heat and power cycle is combined with a large‐scale absorption chiller to not only create a strong yet reliable synergy between the three energy sectors of cold, heat, and power, but also to improve the plant performance in terms of energy and sustainability indices 19 . In terms of risk research, a risk‐constrained scheduling optimization model is presented for a grid‐connected hybrid microgrid including demand response, electric vehicles, variable wind power generation, and dispatchable generation units, 20 a hierarchical stochastic energy management system is proposed for operation management of interconnected microgrids, 21 a novel stochastic model is presented from a microgrid operator perspective for energy and reserve scheduling considering risk management strategy 22 .…”

Solar Charge Controller with Maximum Power Point Tracking for Low-Power Solar Applications

“…Nowadays, renewable energy is very popular, and it is growing very rapidly in various applications, such as microgrids [1], nanogrids, smart converter [2], and Internet of Things (IoT) devices [3]. This growth of solar module use is due to the reduction of module cost, because of the manufacturing process advancing and the increased demand for green energy [4].…”