A Probabilistic Energy Management Scheme for Renewable-Based Residential Energy Hubs

Rastegar, Mohammad; Fotuhi‐Firuzabad, Mahmud; Zareipour, Hamidreza; Moeini-Aghtaieh, Moein

doi:10.1109/tsg.2016.2518920

Cited by 183 publications

(107 citation statements)

References 36 publications

Supporting

Mentioning

106

Contrasting

Unclassified

Order By: Relevance

“…In this paper, the life cycle cost of an EH is chosen as the objective function to be minimized. As shown in Equation (16), the objective function is composed of three parts, including capital cost, residual cost and operation and maintenance (O&M) cost.…”

Section: Objective Functionmentioning

confidence: 99%

See 1 more Smart Citation

Optimal Capacity Configuration for Energy Hubs Considering Part-Load Characteristics of Generation Units

Deng

Jing

et al. 2017

Energies

View full text Add to dashboard Cite

Abstract:The simulation model is one of the key points affecting the optimal planning and operation of energy hubs (EHs). Since treating the efficiencies of generation units as constants would significantly simplify the calculation, only a simplified model is investigated in most research works. In this paper, aiming at optimizing the capacity configuration of an EH, we present a part-load characteristics-based (PLCB) model, in which the efficiencies of generation units will change with the fluctuating load. Based on the PLCB model, the accuracy of the EH model can be improved. Furthermore, a two-stage planning method is proposed to solve the optimal capacity configuration problem of the EH. Group Search Optimizer (GSO) is used to determine the optimal size in the first stage, and a mathematical programming method is applied to obtain the optimal operation of the EH in the second stage. Comparative studies using the PLCB model and the simplified model are performed to examine the impacts of equipment part-load characteristics on the sizing results. Simulation results indicate that the proposed model appears to have a better economic performance than the simplified model.

show abstract

Section: Objective Functionmentioning

confidence: 99%

“…[14]. In addition, the renewable energy, as well as the uncertainty factors were taken into consideration when managing a residential EH [15,16].…”

Section: Introductionmentioning

confidence: 99%

Optimal Capacity Configuration for Energy Hubs Considering Part-Load Characteristics of Generation Units

Deng

Jing

et al. 2017

Energies

View full text Add to dashboard Cite

show abstract

“…However, when considering the electrical power grid, especially the optimal operation problem, many studies have not mentioned this problem yet. A number of recent studies, such as [26], present a new perspective on the ability to exploit multienergy systems through EH, and the paper also extends some concepts of the uncertainty of the load and electricity price thus helping to regulate available energy sources within the allowable limits. Reference [27] examines some uncertainties then proceeded to optimize the energy output of dispersed sources and storage systems with the smallest total cost of the objective function.…”

Section: Introductionmentioning

confidence: 98%

Optimal operation of energy hub in competitive electricity market considering uncertainties

Thang

Zhang

et al. 2018

Int J Energy Environ Eng

View full text Add to dashboard Cite

This paper proposes a novel energy hub model for areas using both heat and cold demands that arise due to the major changes in environmental temperature in different periods of the year. The energy demand and the electrical price in a competitive electricity market are uncertain with stochastic values which are usually performed by a probability distribution function. Therefore, a stochastic mathematical model representing an optimal operation of energy hub is based on the objective function of minimization of energy costs (including electricity and gas). Several constraints such as energy balance, limited capacity of the transformer, air conditioners, gas boilers, absorption chillers, combined heat, and power and battery energy storage system are also incorporated into the model to guarantee the required specifications. The high-level algebraic modeling software, general algebraic modeling system has been employed to undertake calculations. Finally, numerical results have illustrated the efficiency and capability of the proposed models.

show abstract

“…On the other hand, several researchers have focused on a lower level, i.e., individual homes [11][12][13][14]. For instance, the authors in [11] proposed a novel framework for home energy management (HEM) in the context of residential energy hubs. The two-point estimate method is employed to model the uncertainty of the rooftop solar panels.…”

Section: Introductionmentioning

confidence: 99%

Optimal energy management in multi-carrier microgrids: an MILP approach

Shekari¹,

Gholami²,

Aminifar³

2019

J. Mod. Power Syst. Clean Energy

View full text Add to dashboard Cite

With the increasing interdependence of various energy carriers, the operation of power systems is found to correlate closely with the limitations on the other energy infrastructures. This paper presents a mixed-integer linear programming (MILP) model for the microgrid (MG) optimal scheduling considering technical and economic ties between electricity and natural gas (NG) systems. In the proposed methodology, different energy converters and storages, including combined heat and power (CHP) units, electricity/heat storage units, and distributed energy resources (DERs) are considered. The proposed model allows the MG operator to minimize the operation cost of the MG while different operational limitations on the energy hub are satisfied. The model is developed based on AC power flow constraints so as to respect reactive power and voltage security constraints. The efficiency and robustness of the proposed MILP formulation are successfully verified using a large-scale test MG.

show abstract

A Probabilistic Energy Management Scheme for Renewable-Based Residential Energy Hubs

Cited by 183 publications

References 36 publications

Optimal Capacity Configuration for Energy Hubs Considering Part-Load Characteristics of Generation Units

Optimal Capacity Configuration for Energy Hubs Considering Part-Load Characteristics of Generation Units

Optimal operation of energy hub in competitive electricity market considering uncertainties

Optimal energy management in multi-carrier microgrids: an MILP approach

Contact Info

Product

Resources

About