Operational optimization and demand response of hybrid renewable energy systems

Wang, Xiaonan; Palazoğlu, Ahmet; El‐Farra, Nael H.

doi:10.1016/j.apenergy.2015.01.004

Cited by 252 publications

(140 citation statements)

References 38 publications

Supporting

Mentioning

140

Contrasting

Order By: Relevance

“…For the grid-connected application considering DSM, energy management strategies from both the demand side and utility side were developed to meet the electricity demand while minimizing the overall operating and environmental costs [38]. By integrating DSM and active management schemes, an EMS was developed for optimizing the smart grid's operation to better explore renewable energy sources and reduce the customer's electricity cost [39].…”

Section: Literature Reviewmentioning

confidence: 99%

Demand side management of photovoltaic-battery hybrid system

2015

View full text Add to dashboard Cite

In the electricity market, customers have many choices to reduce electricity cost if they can economically schedule their power consumption. Renewable hybrid system, which can explore solar or wind sources at low cost, is a popular choice for this purpose nowadays. In this paper optimal energy management for a grid-connected photovoltaic-battery hybrid system is proposed to sufficiently explore solar energy and to benefit customers at demand side. The management of power flow aims to minimize electricity cost subject to a number of constraints, such as power balance, solar output and battery capacity. With respect to demand side management, an optimal control method (open loop) is developed to schedule the power flow of hybrid system over 24 hours, and model predictive control is used as a closed-loop method to dispatch the power flow in real-time when uncertain disturbances occur. In these two kinds of applications, optimal energy management solutions can be obtained with great cost savings and robust control performance.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Demand side management of photovoltaic-battery hybrid system

2015

View full text Add to dashboard Cite

show abstract

“…The benefits of DSM are quantified in terms of the ability of demand-responsive loads to relieve upstream network constraints and to provide ancillary services, i.e., operating reserve [13]. An energy management strategy from both the demand side and generation side to realize the objectives of meeting the electricity demand is addressed in [14].…”

Section: Literature Reviewmentioning

confidence: 99%

Hybrid Energy Scheduling in a Renewable Micro Grid

2015

View full text Add to dashboard Cite

Abstract:In this paper, we address the energy scheduling issue in a hybrid energy micro grid, which consists of photovoltaic (PV), wind power, combined heat and power (CHP), energy storage and electric vehicles (EVs). The optimal scheduling model of these power sources is presented with consideration of the demand response. The objective function is minimum total operation costs, including gas cost, electric power purchase from the main grid and storage and EV charging-discharging costs. In the process of optimization, multi-team particle swarm optimization (MTPSO) is proposed, which uses units, groups and swarm information to update the velocity (position) with faster and more stable convergence. With simulation analysis, it is found that the proposed model is effective, and the presented MTPSO has a better global search ability than PSO.

show abstract

“…Combining dispatchable energy sources and energy storage helps to increase the utilization of renewable energy while minimizing energy losses due to grid curtailments, though energy systems with and/or without dispatchable energy sources and energy storage formulate complex energy flows [5]. The optimum design of such integrated energy systems has been studied and different approaches are used to present the dispatch strategy in designing system configuration [6], [7].…”

Section: Introductionmentioning

confidence: 99%

Sensitivity of the dispatch strategy in designing grid integrated hybrid energy systems

Pereraa

Mauree

Scartezzini

et al. 2016

2016 IEEE International Energy Conference (ENERGYCON)

View full text Add to dashboard Cite

Abstract-Integrating renewable energy technologies based on solar PV (SPV) and wind energy in the energy system is challenging due to time dependence of the energy potential for these energy sources. Grid integrated hybrid energy systems combining SPV panels, wind turbines, battery bank and internal combustion generators (ICG) can be used in this regard specially for distributed generation. Energy-economic dispatch strategy plays a vital role in managing the energy flow of the system. However, it is difficult to design such energy system due to complexity of the energy flow because of the changes in electricity demand, solar and wind energy potential. This study evaluates the sensitivity of dispatch strategy on optimum system configuration considering Levelized Energy Cost (LEC) and Grid Integration Level (GI). Two existing dispatch strategies i.e. cycle charging (CC) and modified cycle charging (MCC) dispatch strategies are used for the analysis based on Pareto multi objective optimization of LEC and GI. Pareto-fronts obtained considering both approaches were subsequently compared for different grid curtailments. The results show that a notable difference in LEC and system configuration is observed for two different approaches with the increase of grid interactions.

show abstract

Operational optimization and demand response of hybrid renewable energy systems

Cited by 252 publications

References 38 publications

Demand side management of photovoltaic-battery hybrid system

Demand side management of photovoltaic-battery hybrid system

Hybrid Energy Scheduling in a Renewable Micro Grid

Sensitivity of the dispatch strategy in designing grid integrated hybrid energy systems

Contact Info

Product

Resources

About