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 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 Study on the economic dispatch of regional integrated energy system based on master-slave game

2021 ◽  
Vol 267 ◽  
pp. 01001
Author(s):  
Yongli Wang ◽  
Yang Ma ◽  
Yuze Ma ◽  
Suhang Yao ◽  
Siyi Tao ◽  
...  
Keyword(s):  
Demand Response ◽  
Optimization Model ◽  
Alternative Energy ◽  
Energy Use ◽  
Energy Operator ◽  
Energy System ◽  
Integrated Energy System ◽  
Set Up ◽  
Use Behavior ◽  
Motivation To Participate

Traditional demand response technologies optimize the load profile by cutting or shifting the electrical load, but they affect the customer’s energy experience, and thus the customer’s motivation to participate in demand response and load controllability are limited. For community integrated energy operators, the study of integrated customer demand response can explore their dispatch potential. Based on consumer psychology, we study the alternative energy use behavior of residential customers, establish a customer optimization model and a community integrated energy operator optimization model, and set up a Stackelberg master-slave game model with the operator as the leader and the customer as the follower. The simulation case verifies that the utilization of load-side multi-energy complementary characteristics and integrated demand response behavior can effectively improve the utilization of renewable energy and the efficiency of integrated energy operators.

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