Research on Collaborative Optimization Model of Park-level Integrated Energy System Participating in Power Peak Shaving

2018 ◽  
Author(s):  
Shanshan Fan ◽  
Bin Wang ◽  
Yong Sun ◽  
Hongbin Sun ◽  
Zhenyuan Li ◽  
...  
Keyword(s):  
Optimization Model ◽  
Energy System ◽  
Collaborative Optimization ◽  
Peak Shaving ◽  
Power Peak ◽  
Integrated Energy System

scholarly journals Hierarchical Multi-Objective Fuzzy Collaborative Optimization of Integrated Energy System under Off-Design Performance

Energies ◽  
2019 ◽  
Vol 12 (5) ◽  
pp. 830 ◽  
Author(s):  
Yongjie Zhong ◽  
Hongwei Zhou ◽  
Xuanjun Zong ◽  
Zhou Xu ◽  
Yonghui Sun
Keyword(s):  
Renewable Energy ◽  
Optimization Model ◽  
Engineering Application ◽  
Energy System ◽  
Collaborative Optimization ◽  
Sigmoid Function ◽  
Design Performance ◽  
Multi Objective ◽  
Integrated Energy System ◽  
Operation Characteristics

In order to solve the frequently occurred nonlinear working characteristics problem of the devices in integrated energy system (IES), where this nonlinear problem causes the offset of operation characteristics and design points of those devices, in this paper, the hierarchical multi-objective fuzzy collaborative optimization model of IES under off-design performance is proposed. Firstly, the high-order nonlinear models of devices under off-design performance, including fuel cell (FC), gas turbine (GT), absorption lithium bromide chiller (ABS), etc., are presented considering renewable energy and diversified storage devices, which can more accurately describe the actual working condition of devices. Secondly, according to the needs of different engineering application modes, the lower level collaborative optimization model of energy hub (EH) with economic, eco-friendly, primary energy saving, and renewable energy accommodation rate as optimization objectives is proposed, which can well adapt to and reflect real world energy system. Thirdly, based on the relationship between master and slave dispatch centers, the upper level modeling and optimal scheduling model of IES consisting of coupling power system, natural gas system, and heat system is proposed. Then, a multi-objective fuzzy collaborative optimization model for EH and IES is developed, where continuous differentiable Sigmoid function is taken as the membership function. Finally, simulation results show that the proposed models and optimal dispatch method can effectively solve the frequently occurred non-linear working characteristics problem of the devices in IES. The optimal results are suitable for planning, calculation, operation, dispatch of IES, which can reasonably reflect the operation characteristics of IES.

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.

Bi-level optimization model for integrated energy system considering the thermal comfort of heat customers

2018 ◽  
Vol 232 ◽  
pp. 607-616 ◽  
Author(s):  
Chenyu Wu ◽  
Wei Gu ◽  
Yinliang Xu ◽  
Ping Jiang ◽  
Shuai Lu ◽  
...  
Keyword(s):  
Thermal Comfort ◽  
Optimization Model ◽  
Energy System ◽  
Integrated Energy System

scholarly journals Generation Expansion Planning Model for Integrated Energy System Considering Feasible Operation Region and Generation Efficiency of Combined Heat and Power

Energies ◽  
2019 ◽  
Vol 12 (2) ◽  
pp. 226 ◽  
Author(s):  
Woong Ko ◽  
Jinho Kim
Keyword(s):  
Optimization Model ◽  
Energy System ◽  
Combined Heat And Power ◽  
Mixed Integer ◽  
Planning Model ◽  
Generation Expansion Planning ◽  
Generation Efficiency ◽  
Expansion Planning ◽  
Generation Expansion ◽  
Integrated Energy System

Integrated energy systems can provide a more efficient supply than individual systems by using resources such as cogeneration. To foster efficient management of these systems, the flexible operation of cogeneration resources should be considered for the generation expansion planning model to satisfy the varying demand of energy including heat and electricity, which are interdependent and present different seasonal characteristics. We propose an optimization model of the generation expansion planning for an integrated energy system considering the feasible operation region and efficiency of a combined heat and power (CHP) resource. The proposed model is formulated as a mixed integer linear programming problem to minimize the sum of the annualized cost of the integrated energy system. Then, we set linear constraints of energy resources and describe linearized constraints of a feasible operation region and a generation efficiency of the CHP resource for application to the problem. The effectiveness of the proposed optimization problem is verified through a case study comparing with results of a conventional optimization model that uses constant heat-to-power ratio and generation efficiency of the CHP resource. Furthermore, we evaluate planning schedules and total generation efficiency profiles of the CHP resource for the compared optimization models.

scholarly journals Optimization Strategy of Multiarea Interconnected Integrated Energy System Based on Consistency Theory

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Yuan Yu ◽  
Tieyan Zhang ◽  
Yan Zhao
Keyword(s):  
Objective Function ◽  
Energy System ◽  
Optimization Method ◽  
Collaborative Optimization ◽  
Energy Utilization ◽  
Optimization Strategy ◽  
Consistency Theory ◽  
Single Region ◽  
Integrated Energy System

A collaborative optimization strategy of an integrated energy system aiming at improving energy efficiency is studied in this paper for the cluster optimization of an integrated energy system (IES). In this paper, an improved discrete consistency method based on the coordination optimization method for IES is proposed. An IES model considering the mixed energy supply of electricity, heat, and gas is constructed in a single region. And then an objective function with the maximum return is established, on the premise of assuming that the prices of electricity, heat, and gas can be used as an economical means to adjust the energy utilization. Finally, the consistency theory is applied to the IES, and the improved discrete consistency algorithm is utilized to optimize the objective function. In the case study, a certain region IES is taken as an example in Northeast China. The case study demonstrates the effectiveness and accuracy of the coordination optimization method for IES.

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