Optimal Dispatch for a Combined Cooling, Heating and Power Microgrid Considering Building Virtual Energy Storage

Yang, Linlin; Guo, Hongyan; Huang, Kai-Ting

doi:10.1007/s42835-018-00055-z

Cited by 14 publications

(7 citation statements)

References 23 publications

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“…When ACVES participated alone in the optimal scheduling of the system during the summer scenario, the operating costs were reduced by 5.67%, and indoor temperature comfort was maintained. A similar research approach to analyze the ACVES utility is also applied in [19], which shows similar results of this paper. When EWHVES participated alone in the optimal scheduling of the system in the summer scenario, the operating cost was reduced by 7.63%, which is in consistent with the findings shown in [15].…”

Section: Discussionsupporting

confidence: 73%

“…In a residential microgrid, the floor radiant heating/cooling system is modeled as a VES system, and the operating cost of the residential microgrid is effectively reduced through optimal scheduling of the microgrid [18]. In a combined cooling, heating, and power microgrid, the VES of the building is considered in the optimal scheduling model, which improves the economic and environmental operational benefits [19]. In a hybrid energy microgrid, a VES system based on AC and buildings is established, and the daily operating cost of the microgrid is reduced through the charging/discharging management of the VES system [20].…”

Section: Literature Reviewmentioning

confidence: 99%

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Optimal Scheduling Strategy of Building Integrated Photovoltaic Microgrid Considering Virtual Energy Storage

Zeng

et al. 2020

Applied Sciences

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Building integrated photovoltaic (BIPV) is one of the most efficient ways to utilize renewable energy in buildings. However, the stochastic characteristic of PV power generation and load challenges the optimal dispatch of the BIPV. This paper proposes an optimal scheduling strategy of BIPV microgrid considering virtual energy storage (VES), which intends to further improve the operating economy of a BIPV microgrid. Firstly, existing research findings and gaps in this research area were analyzed. Then, the mathematical model of each unit in the system was created, meanwhile, the air conditioner-based VES (ACVES) model and electric water heater-based VES (EWHVES) model are built by exploiting the heat/cold storage capability of building and the electric water heater, respectively. Next, the optimal scheduling model considering the VES is designed. Finally, the optimal scheduling model is solved by CPLEX to obtain the optimal scheduling strategy that reduces the operating cost of the system. Simulation results demonstrate that the proposed strategy can reduce the operating cost of the system. Furthermore, the VES shows the potential to replace the battery energy storage system.

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Section: Discussionsupporting

confidence: 73%

Section: Literature Reviewmentioning

confidence: 99%

Optimal Scheduling Strategy of Building Integrated Photovoltaic Microgrid Considering Virtual Energy Storage

Zeng

et al. 2020

Applied Sciences

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“…The parameters of the CCHP system are shown in Table 4. The parameter setting of the CCHP system is cited in reference [4,11,12]. The entire experiment was performed using Microsoft Windows 8 operating system and MATLAB R2014a software (MathWorks, Natick, Massachusetts, USA) developer, city, country .…”

Section: Analysis Of Model Performancementioning

confidence: 99%

“…Ref. [11] established a microgrid system mixed with a photovoltaic power generation system and CCHP. It wasa multi-objective function based on energy, environmental protection and economy.…”

Section: Introductionmentioning

confidence: 99%

Power Capacity Optimization in a Photovoltaics-Based Microgrid Using the Improved Artificial Bee Colony Algorithm

et al. 2020

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Although the combined cooling, heating and power (CCHP) microgrid is feasible for achieving a high energy utilization efficiency, the fluctuation of energy sources, such as a photovoltaic system and multiple loads, may affect the safety, economics and stability in CCHP microgrid operation. For this reason, this paper establishes a mathematical model using a multi-objective optimization mechanism for resolving the influence of economy and energy allocation in the mixed photovoltaic type CCHP microgrid. It is based on analytic hierarchy process (AHP) to determine the individual weight of objective function optimization for the multi-objective power capacity allocation. The improved artificial bee colony (IABC) based on the whale search and dynamic selection probability can achieve an optimization solution, reaching a stable operation state and reasonable capacity configuration in the microgrid system. The performance results confirm that the proposed algorithm is superior to others in both convergence speed and accuracyfor the capacity allocation of the CCHP microgrid.

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“…In terms of the electric power range of heating equipment, maximum and minimum electric powers for heating were proposed in [22] to quantify the power scheduling range provided by the VES. In [23][24][25], a thermal capacity was proposed by considering the thermal comfort of the user. The thermal capacity and the stored thermal energy were considered in [26], and the state of charge (SOC) parameter was proposed to quantify the VES.…”

Section: Introductionmentioning

confidence: 99%

Day‐ahead optimal scheduling of building energy microgrids based on time‐varying virtual energy storage

Zhang

Jia

et al. 2022

IET Renewable Power Gen

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The thermal inertia of a building envelope endows a building with a heat storage capability, introducing scheduling flexibility to a building energy microgrid (BEM). The flexibility is usually modelled as virtual energy storage (VES) and used to optimize the operation of BEMs to reduce electricity costs. However, the VES capacity is impacted by and varies with variations in indoor/outdoor temperature. If only the building envelope's effect on heat transfer is considered, without proper quantification of scheduling flexibility provided by the building envelope, the scheduling scheme (especially VES charging/discharging schemes) will deviate from the actual VES operating conditions, which may affect the thermal comfort of individuals in buildings or bring high electricity costs. In this paper, a time-varying building VES model (TVES) with three time-varying parameters (virtual electric capacity (VEC), state of charge (SOC), and charge and discharge power) is proposed to quantify the electricity storage capability of the VES at different time periods for participating in operation of the BEM. Based on the TVES, a day-ahead optimal scheduling strategy is developed for the BEM to simultaneously reduce the electricity cost and guarantee the user's thermal comfort, where the proposed time-varying parameters of TVES are taken as constraints in the optimization. Numerical studies verify the effectiveness of the proposed TVES and optimal scheduling strategy.

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Optimal Dispatch for a Combined Cooling, Heating and Power Microgrid Considering Building Virtual Energy Storage

Cited by 14 publications

References 23 publications

Optimal Scheduling Strategy of Building Integrated Photovoltaic Microgrid Considering Virtual Energy Storage

Optimal Scheduling Strategy of Building Integrated Photovoltaic Microgrid Considering Virtual Energy Storage

Power Capacity Optimization in a Photovoltaics-Based Microgrid Using the Improved Artificial Bee Colony Algorithm

Day‐ahead optimal scheduling of building energy microgrids based on time‐varying virtual energy storage

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