Multi-objective operation management of a multi-carrier energy system

Shabanpour-Haghighi, Amin; Seifi, Ali Reza

doi:10.1016/j.energy.2015.05.063

Cited by 96 publications

(37 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Step 3) (PSO initialization): Set the time counter t0 = 0. Initialize randomly the individuals of the population based on the limit of the EHub (10)- (12). The initial individuals must be feasible candidate solutions that satisfy the operating constraints.…”

Section: Fig 2 Ehub Model Topologymentioning

confidence: 99%

“…Based on the energy hub (EHub) [10] that was first developed for interrelated energy system description, an integrated optimal energy flow was proposed for multi-carrier energy network optimization in an island [ 11 ]. Furthermore, multiple objective were incorporated into the community energy system optimization due to various requirements [12].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Hierarchical management for integrated community energy systems

et al. 2015

View full text Add to dashboard Cite

Due to the presence of combined heat and power plants (CHP) and thermostatically controlled loads, heat, natural gas and electric power systems are tightly coupled in community areas. However, the coordination among these systems has not been well considered, especially with the integration of renewable energy. This paper aims to develop a hierarchical approach for an integrated community energy system (ICES). The proposed hierarchical framework is presented as day-ahead scheduling and two-layer intra-hour adjustment systems. Two objectives, namely operating cost and tie-line power smoothing, are integrated into the framework. In the intra-hour scheduling, a master-client structure is designed. The CHP and thermostatically controlled loads are coordinated by a method with two different time scales in order to execute the schedule and handle uncertainties from the load demand and the renewable generation. To obtain the optimal set-points for the CHP, an integrated optimal power flow method (IOPF) is developed, which also incorporates three-phase electric power flow and natural gas flow constraints. Furthermore, based on a time priority list method, a three-phase demand response approach is proposed to dispatch HVACs at different phases and locations. Numerical studies confirm that the ICES can be economically operated, and the tie-line power between the ICES and external energy network can be effectively smoothed.

show abstract

Section: Fig 2 Ehub Model Topologymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Hierarchical management for integrated community energy systems

et al. 2015

View full text Add to dashboard Cite

show abstract

“…Recently, some researchers have made strong efforts to propose energy management schemes for multi-carrier MGs [6][7][8][9][10]. In this regard, a hierarchical energy management system (EMS) for a multi-carrier MG was proposed in [6], where the thermal and NG management systems are integrated with the conventional EMS.…”

Section: Introductionmentioning

confidence: 99%

“…A deeper study showed that increasing the local renewable energy production can be used to convert the surplus electricity into thermal energy in order to gain economic efficiency [9]. To account for the environmental impacts, a multiobjective nonlinear model, which minimizes the operation cost and emission, is proposed in [10] and is solved by a new evolutionary algorithm called modified teachinglearning based optimization (MTLBO).…”

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 modified teaching-learning based optimization (MTLBO) algorithm was carried out for the multi-objective optimal power flow problem for the IEEE 30-bus and 57-bus systems, which considers a self-adapting wavelet mutation strategy for the modified phase, and merges with fuzzy clustering for better population selection [28]. Furthermore, this algorithm was employed to solve the operation management and optimal power flow problem in MECS [29,30]. To acquire the optimal solution for a whole day, a multi-agent genetic algorithm (MAGA) was proposed for the online economic dispatch problem.…”

mentioning

confidence: 99%

Hierarchical Energy Management for the MultiEnergy Carriers System with Different Interest Bodies

et al. 2018

View full text Add to dashboard Cite

Multi-energy carriers system (MECS), in which diverse energy carriers and different energy systems interact together, has drawn the interest of many researchers in recent years. However, the optimal economic operational model of the MECS is a nonlinear, multi-variable, and multi-period problem, of which it is difficult to find the solution because several different energy flows are integrated in the system. To this end, three interest bodies in the MECS were investigated, which included the energy provider, the energy facilitator, and the energy consumer, and a hierarchical optimal economic operation strategy was then presented. A hybrid optimization strategy combining the swarm intelligence algorithm and interior point method was developed taking advantage of the merits of each method. Case studies were conducted to verify the effectiveness of the proposed hierarchical optimal economic operation strategy, whereby demonstrating that the proposed strategy can achieve rational energy allocation and decrease the energy cost in the MECS compared with traditional energy systems.

show abstract

Multi-objective operation management of a multi-carrier energy system

Cited by 96 publications

References 26 publications

Hierarchical management for integrated community energy systems

Hierarchical management for integrated community energy systems

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

Hierarchical Energy Management for the MultiEnergy Carriers System with Different Interest Bodies

Contact Info

Product

Resources

About