Optimal Scheduling Method for Electrical-Thermal Integrated Energy System Considering Heat Storage Characteristics of Heating Network

Zhao, Bo; Ni, Chouwei; Mu, Yunfei; Wang, Mingjun; Meng, Xianjun

doi:10.1109/isgt-asia.2019.8881084

Cited by 5 publications

(4 citation statements)

References 5 publications

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“…The thermal delay characteristic of the heat pipe network is mainly reflected in the primary pipe network [11] , so this paper mainly considers the primary pipe network. There is a time lag in the transmission of hot water, The time difference between the beginning and end of the heating pipe can be expressed as:…”

Section: Pgsest-2022 Journal Of Physics: Conference Series 2354 (2022...mentioning

confidence: 99%

“…The power supply of the system includes CHP units, wind turbines, and pure gas turbine generators. The parameters are shown in the literature [11] ; the heat network performs energy conversion between the heat pump and the power grid. The predicted electric load, standard heating load, wind power output curve and outdoor temperature curve of the system are shown in Figure 3.…”

Section: Parameter Setting Of the Examplementioning

confidence: 99%

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Optimal Dispatch of Multi-energy System Based on Carbon Trading Auxiliary Service

Liu

et al. 2022

J. Phys.: Conf. Ser.

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The energy economy, flexibility and low carbon of multi-energy system is one of the research hotspots of multi-energy system, a comprehensive energy system optimization scheduling method considering carbon trading is proposed. On the basis of considering the dynamic output of heat network equipment, an optimal dispatch model of the integrated energy system is constructed through energy coupling equipment such as cogeneration units, heat pumps, and gas turbines. Firstly, the thermal dynamics of heating pipes and heating buildings are modeled in detail. Then, taking the lowest operating cost of the integrated energy system and the lowest carbon transaction cost as the objective function, and taking the energy balance constraints and network constraints as the constraints, a day-ahead optimal scheduling scheme of the integrated energy system is proposed. Finally, the simulation results show that the multi-energy optimal scheduling method can effectively reduce the expenditure of the multi-energy system, increase the penetration ratio of wind and solar power generation, and reduce the overall carbon emissions of the system.

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Section: Pgsest-2022 Journal Of Physics: Conference Series 2354 (2022...mentioning

confidence: 99%

Section: Parameter Setting Of the Examplementioning

confidence: 99%

Optimal Dispatch of Multi-energy System Based on Carbon Trading Auxiliary Service

Liu

et al. 2022

J. Phys.: Conf. Ser.

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“…An optimal scheduling method for an electrical-thermal IES considering heat storage characteristics of the heating network is proposed in (Zhao et al, 2019). The heating network is used as the scheduling resource to participate in the optimal scheduling of electrical-thermal IESs.…”

Section: Introductionmentioning

confidence: 99%

Multi-Scenario Physical Energy Storage Planning of Integrated Energy Systems Considering Dynamic Characteristics of Heating Network and Demand Response

et al. 2021

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The configuration of energy storage in the integrated energy system (IES) can effectively improve the consumption rate of renewable energy and the flexibility of system operation. Due to the high cost and long cycle of the physical energy storage construction, the configuration of energy storage is limited. The dynamic characteristics of the heating network and the demand-side response (DR) can realize the space-time transfer of energy. Although there is no actual energy storage equipment construction, it plays a similar role to physical energy storage and can be considered as virtual energy storage in IES planning. In this paper, a multi-scenario physical energy storage planning model of IES considering the dynamic characteristics of the heating network and DR is proposed. To make full use of the energy storage potential of the proposed model, the virtual energy storage features of the dynamic heating characteristics of the heating network and DR are analyzed at first. Next, aiming at the uncertainty of wind turbine (WT) and photovoltaic (PV) output, the scenario analysis method is used to describe the wind and photovoltaic power output with different probabilities. Finally, an electrothermal IES with an IEEE 33-node network and a 26-node heating network serves as an example to verify the effectiveness of the proposed model. The case study shows that the proposed model effectively reduces the physical energy storage configuration and achieves the economic trade-off between the investment cost and the operation cost.

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“…As two energy forms with different energy attributes and transmission characteristics, electric and heat exhibit different actual operation performances, especially in the case of the temperature transmission delay in an urban heat network in UEHIES with long pipes and a large mass flow [24,25]. Some studies have shown that the two models, considering the temperature transmission delay characteristics and ignoring the operation schedules of heat sources, show obvious diversity [26], and the heat supply medium temperature of each node in the primary heat network is significantly different [27].…”

Section: Introductionmentioning

confidence: 99%

Distributed Thermal Energy Storage Configuration of an Urban Electric and Heat Integrated Energy System Considering Medium Temperature Characteristics

et al. 2021

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Distributed thermal energy storage (DTES) provides specific opportunities to realize the sustainable and economic operation of urban electric heat integrated energy systems (UEHIES). However, the construction of the theory of the model and the configuration method of thermal storage for distributed application are still challenging. This paper analyzes the heat absorption and release process between the DTES internal heat storage medium and the heat network transfer medium, refines the relationship between heat transfer power and temperature characteristics, and establishes a water thermal energy storage and electric heater phase change thermal energy storage model, considering medium temperature characteristics. Combined with the temperature transmission delay characteristics of a heat network, a two-stage optimal configuration model of DTES for UEHIES is proposed. The results show that considering the temperature characteristics in the configuration method can accurately reflect the performance of DTES, enhance wind power utilization, improve the operation efficiency of energy equipment, and reduce the cost of the system.

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Optimal Scheduling Method for Electrical-Thermal Integrated Energy System Considering Heat Storage Characteristics of Heating Network

Cited by 5 publications

References 5 publications

Optimal Dispatch of Multi-energy System Based on Carbon Trading Auxiliary Service

Optimal Dispatch of Multi-energy System Based on Carbon Trading Auxiliary Service

Multi-Scenario Physical Energy Storage Planning of Integrated Energy Systems Considering Dynamic Characteristics of Heating Network and Demand Response

Distributed Thermal Energy Storage Configuration of an Urban Electric and Heat Integrated Energy System Considering Medium Temperature Characteristics

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