A two-stage optimal planning and design method for combined cooling, heat and power microgrid system

Guo, Li; Liu, Wenjian; Cai, Jiejin; Hong, Bowen; Wang, Chengshan

doi:10.1016/j.enconman.2013.06.051

Cited by 281 publications

(134 citation statements)

References 28 publications

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“…Various energy management strategies have been used in the literature for scheduling microgrids/multi-microgrids [10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25]. Among those, the cooperative multi-microgrid community has gained popularity due to its merits like minimum operation cost of the entire network, network level resource-aware optimization, better utilization of efficient units of individual microgrids, etc.…”

Section: System Configurationmentioning

confidence: 99%

Optimal Energy Management of Combined Cooling, Heat and Power in Different Demand Type Buildings Considering Seasonal Demand Variations

et al. 2017

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Abstract:In this paper, an optimal energy management strategy for a cooperative multi-microgrid system with combined cooling, heat and power (CCHP) is proposed and has been verified for a test case of building microgrids (BMGs). Three different demand types of buildings are considered and the BMGs are assumed to be equipped with their own combined heat and power (CHP) generators. In addition, the BMGs are also connected to an external energy network (EEN), which contains a large CHP, an adsorption chiller (ADC), a thermal storage tank, and an electric heat pump (EHP). By trading the excess electricity and heat energy with the utility grid and EEN, each BMG can fulfill its energy demands. Seasonal energy demand variations have been evaluated by selecting a representative day for the two extreme seasons (summer and winter) of the year, among the real profiles of year-round data on electricity, heating, and cooling usage of all the three selected buildings. Especially, the thermal energy management aspect is emphasized where, bi-lateral heat trading between the energy supplier and the consumers, so-called energy prosumer concept, has been realized. An optimization model based on mixed integer linear programming has been developed for minimizing the daily operation cost of the EEN while fulfilling the energy demands of the BMGs. Simulation results have demonstrated the effectiveness of the proposed strategy.

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Section: System Configurationmentioning

confidence: 99%

Optimal Energy Management of Combined Cooling, Heat and Power in Different Demand Type Buildings Considering Seasonal Demand Variations

et al. 2017

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“…where J (x) is defined in (10), h (x) consists of (11), (12) and (13), and g (x) is given by (15) to (20).…”

Section: B Constraintsmentioning

confidence: 99%

“…There might exist better feasible solution when the operational cost and emission aspects are taken into consideration. In order to improve the performance, some researchers use a hybrid electric-thermal load operation mode to reduce both operational and environmental costs [15,16].…”

Section: B Rule-based Approachmentioning

confidence: 99%

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Two-stage method for optimal operation of a distributed energy system

Xue

Zhou

Chen

2016

2016 IEEE International Conference on Power System Technology (POWERCON)

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Abstract-In this paper, a gas turbine-based distributed energy system (DES) model is developed for the design of operation planning. An operation mode aimed to optimize the operation of this DES is proposed. A multi-objective cost function considering the total system efficiency and operational cost is formulated for the optimal design of DES operation and control. A two-stage approach combining the particle swarm algorithm (PSO) with the sequential quadratic programming (SQP) method is employed to solve the nonlinear programming problem. Optimal operation strategies for the DES are investigated using the proposed twostage method under three different demand loads in terms of weather conditions. The simulation results are compared with those using traditional rule-based operation methods. It is found that under the proposed operation mode, the DES is capable of achieving an improved performance in terms of thermal efficiency and operational cost.

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“…Today, optimal operation and planning problems are the main topics of research in MGs and, albeit rarely, MMGs [5,9,10]. Arefifar et al have discussed the large-scale power distribution system as a number of MGs in order to facilitate the control strategy and operation infrastructure in future distribution systems based on IEEE Std 1547.4.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic Optimal Power Dispatch in Multi-Carrier Networked Microgrids under Uncertainties

2017

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Abstract:A microgrid (MG) is a small-scale version of the power system which makes possible the integration of renewable resources as well as achieving maximum demand side management (DSM) utilization. The future power system will be faced with severe uncertainties owing to penetration of renewable resources. Consequently, the uncertainty assessment of system performance is essential. The conventional energy scheduling in an MG may not be suitable for active distribution networks. Hence, this study focuses on the probabilistic analysis of optimal power dispatch considering economic aspects in a multi-carrier networked microgrid. The aim is to study the impact of uncertain behavior of loads, renewable resources, and electricity market on the optimal management of a multi-carrier networked microgrid. Furthermore, a novel time-based demand side management is proposed in order to reshape the load curve, as well as preventing the excessive use of energy in peak hours. The optimization model is formulated as a mixed integer nonlinear program (MINLP) and is solved using MATLAB and GAMS software. Results show that the energy sharing capability between MCMGs and MCMGs and the main grids as well as utilization of demand side management can decrease operating costs for smart distribution grids.

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A two-stage optimal planning and design method for combined cooling, heat and power microgrid system

Cited by 281 publications

References 28 publications

Optimal Energy Management of Combined Cooling, Heat and Power in Different Demand Type Buildings Considering Seasonal Demand Variations

Optimal Energy Management of Combined Cooling, Heat and Power in Different Demand Type Buildings Considering Seasonal Demand Variations

Two-stage method for optimal operation of a distributed energy system

Probabilistic Optimal Power Dispatch in Multi-Carrier Networked Microgrids under Uncertainties

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