scholarly journals Medium- and Long-Term Integrated Demand Response of Integrated Energy System Based on System Dynamics

Energies ◽  
2020 ◽  
Vol 13 (3) ◽  
pp. 710 ◽  
Author(s):  
Shuhui Ren ◽  
Xun Dou ◽  
Zhen Wang ◽  
Jun Wang ◽  
Xiangyan Wang
Keyword(s):  
Energy Storage ◽  
System Dynamics ◽  
Electric Vehicles ◽  
Demand Response ◽  
Energy System ◽  
Energy Utilization ◽  
Response Model ◽  
Integrated Energy System ◽  
Flexible Load

For the integrated energy system of coupling electrical, cool and heat energy and gas and other forms of energy, the medium- and long-term integrated demand response of flexible load, energy storage and electric vehicles and other demand side resources is studied. It is helpful to mine the potentials of demand response of various energy sources in the medium- and long-term, stimulate the flexibility of integrated energy system, and improve the efficiency of energy utilization. Firstly, based on system dynamics, the response mode of demand response resources is analyzed from different time dimensions, and the long-term, medium-term and short-term behaviors of users participating in integrated demand response are considered comprehensively. An integrated demand response model based on medium-and long-term time dimension is established. Then the integrated demand response model of integrated energy system scheduling and flexible load, energy storage and electric vehicles as the main participants is established to simulate the response income of users participating in the integrated demand response project, and to provide data sources for the medium- and long-term integrated demand response system dynamics model. Finally, an example is given to analyze the differences in response behaviors of flexible load, energy storage and electric vehicle users in different time dimensions under the conditions of policy subsidy, regional location and user energy preferences in different stages of the integrated energy system.

scholarly journals Study on Pricing Mechanism of Cooling, Heating, and Electricity Considering Demand Response in the Stage of Park Integrated Energy System Planning

2020 ◽  
Vol 10 (5) ◽  
pp. 1565
Author(s):  
Hang Yu ◽  
Zhiyuan Liu ◽  
Chaoen Li ◽  
Rui Liu
Keyword(s):  
Demand Response ◽  
Electricity Market ◽  
Optimal Solution ◽  
Energy System ◽  
Benefit Sharing ◽  
Selling Price ◽  
Pricing Mechanism ◽  
Integrated Energy System ◽  
The Impact

With the opening of the Chinese electricity market, as a retailer that provides energy services to consumers, the park-integrated energy system (PIES) not only serves as an effective way to earn benefits and reduce carbon emissions but also impacts the energy consumption characteristics of consumers. The PIES implements this function by adjusting the energy selling price in free energy markets. The pricing mechanism model (P-M model) is established to obtain the energy selling price in the planning and design stages. In this model, the impact of the demand response on the energy configuration and the impact of the changes in energy configuration on the energy cost price are both considered. Additionally, the optimal result ensures that both the consumers and the PIES benefit simultaneously. The reactive demand response zone, which represents a consumer trap, is found in numerical studies. The results indicate the following: (1) from the perspective of P-M model optimization, the benefit exclusive point of the PIES is the optimal solution in the short term; (2) from the perspective of the long-term benefit, the ultimate result in the relationship between the PIES and consumers is that the PIES will share its profits with consumers; in other words, benefit sharing point is the optimal solution for the long term.

scholarly journals A Planning Method for Energy Storage System of Integrated Community Energy System Considering Demand Response

2021 ◽  
Vol 252 ◽  
pp. 03009
Author(s):  
Jinghua Li ◽  
Chenbing Hua ◽  
Deyu Jiang ◽  
Qian Jiang ◽  
Kuihua Wu
Keyword(s):  
Energy Storage ◽  
Demand Response ◽  
Storage System ◽  
Peak Load ◽  
Electrical Energy ◽  
Energy System ◽  
Energy Storage System ◽  
Planning Method ◽  
Energy Utilization ◽  
Maintenance Cost

Demand response plays a significant role in peak load shifting, storage capacity configuration and renewable energy utilization. A bi-level planning method for energy storage system of integrated community energy system considering the demand response is proposed in this paper. In the upper level, the investment cost of electrical energy storage and thermal energy storage, operation and maintenance cost and fuel cost of the integrated community energy system, as well as the compensation cost to the energy consumer, are considered; in the lower level, the responded demand of the energy consumer is taken into consideration to minimize the energy bill of the energy consumer. An actual planning for energy storage system of integrated community energy system shows the effectiveness of the proposed method.

scholarly journals Optimal scheduling of Park level integrated energy system considering electrothermal coupling

2021 ◽  
Vol 236 ◽  
pp. 02008
Author(s):  
LIU Dunnan ◽  
Gao Yuan ◽  
Wang Lingxiang ◽  
Liang Jiahao ◽  
Wang Zhenyu ◽  
...  
Keyword(s):  
Demand Response ◽  
Electric Heating ◽  
Energy System ◽  
Optimal Scheduling ◽  
Energy Utilization ◽  
Utilization Efficiency ◽  
Total Energy Consumption ◽  
Integrated Energy System ◽  
Heating Load ◽  
Operation Cost

Considering the inherent characteristics of the park heating load, such as transmission delay, fuzzy heating comfort, etc., it can be used as a flexible load to participate in the optimal scheduling. Aiming at the minimum operation cost of the integrated energy system in the park, a collaborative optimal scheduling model of the park's integrated energy system with the participation of comprehensive demand response of electric heating load is constructed. The simulation results show that, compared with the optimization results of traditional power demand response, the application of integrated demand response of electric heating load improves the flexibility of production of cogeneration units in the park, reduces the total energy consumption cost of demand side users and the operation cost of the system on the premise of ensuring the balance of supply and demand of the system, improves the energy utilization efficiency, and realizes the environmental protection and economy of the system function.

scholarly journals An optimized demand-response operation method of regional integrated energy system considering 5G base station energy storage

2021 ◽  
Vol 2121 (1) ◽  
pp. 012007
Author(s):  
Yunli Yue ◽  
Beibei Sun ◽  
Yiming Xue ◽  
Jianmin Ding ◽  
kerui Liang ◽  
...  
Keyword(s):  
Energy Storage ◽  
Wind Power ◽  
Demand Response ◽  
Energy System ◽  
Optimization Method ◽  
Base Station ◽  
Low Carbon ◽  
Side Peak ◽  
Operation Method ◽  
Integrated Energy System

Abstract The scheduling technology of regional integrated energy system is one of the key technologies to realize carbon neutralization by utilizing wind-power. Aiming at the optimal scheduling problem of regional electrothermal integrated energy system considering wind-power utilization and load side energy consumption, this paper proposes an optimized demand-response operation method of regional integrated energy system considering 5G base station energy storage. The regional integrated energy system of load side demand response is constructed based on the comprehensive consideration of technical and economic factors such as wind-power utilization and economic costs and load side peak valley difference. Finally, a two-layer particle swarm optimization method is proposed to solve the model. The experimental results show that the proposed method can effectively achieve wind-power utilization, economic dispatch and reduce the peak valley difference through load side demand response, which can improve the economic efficiency, environmental protection and low-carbon operation of regional integrated energy system.

scholarly journals Operational optimization of a building-level integrated energy system considering additional potential benefits of energy storage

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Sai Liu ◽  
Cheng Zhou ◽  
Haomin Guo ◽  
Qingxin Shi ◽  
Tiancheng E. Song ◽  
...  
Keyword(s):  
Energy Storage ◽  
Operating Cost ◽  
Economic Cost ◽  
Energy System ◽  
Peak Shaving ◽  
Operational Optimization ◽  
Integrated Energy System ◽  
Potential Benefits ◽  
The Times ◽  
Building Level

AbstractAs a key component of an integrated energy system (IES), energy storage can effectively alleviate the problem of the times between energy production and consumption. Exploiting the benefits of energy storage can improve the competitiveness of multi-energy systems. This paper proposes a method for day-ahead operation optimization of a building-level integrated energy system (BIES) considering additional potential benefits of energy storage. Based on the characteristics of peak-shaving and valley-filling of energy storage, and further consideration of the changes in the system’s load and real-time electricity price, a model of additional potential benefits of energy storage is developed. Aiming at the lowest total operating cost, a bi-level optimal operational model for day-ahead operation of BIES is developed. A case analysis of different dispatch strategies verifies that the addition of the proposed battery scheduling strategy improves economic operation. The results demonstrate that the model can exploit energy storage’s potential, further optimize the power output of BIES and reduce the economic cost.

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