scholarly journals Optimal Dispatch of Integrated Energy System Considering Energy Hub Technology and Multi-Agent Interest Balance

Energies ◽  
2019 ◽  
Vol 12 (16) ◽  
pp. 3112
Author(s):  
Zeng ◽  
Jiang ◽  
Liu ◽  
Tan ◽  
He ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Service Providers ◽  
Pareto Frontier ◽  
Optimal Solution ◽  
Energy System ◽  
Optimal Dispatch ◽  
Energy Hub ◽  
Interest Balance ◽  
Integrated Energy System ◽  
Multi Agent

With the gradual liberalization of the energy market, the future integrated energy system will be composed of multiple agents. Therefore, this paper proposes an optimization dispatch method considering energy hub technology and multi-agent interest balance in an integrated energy system. Firstly, an integrated energy system, including equipment for cogeneration, renewable energy, and electric vehicles, is established. Secondly, energy hub technologies, such as demand response, electricity storage, and thermal storage, are comprehensively considered, and the integrated energy system is divided into three agents: Integrated energy service providers, renewable energy owners, and users, respectively. Then, with the goal of balancing the interests of each agent, the model is solved by the non-dominated sorting genetic algorithm-III (NSGA-III) to obtain the Pareto frontier. Since the Pareto frontier is a series of values, the optimal solution of each agent in the Pareto frontier is found by the technical for order preference with a similar to ideal solution (TOPSIS). Ultimately, taking an integrated energy demonstration park in China as a case study, the function of energy hub technology is analyzed by simulation, and the proposed method is verified to be effective and practicable.

scholarly journals Decoupled Optimization of Integrated Energy System Considering CHP Plant Based on Energy Hub Model

2017 ◽  
Vol 142 ◽  
pp. 2683-2688 ◽  
Author(s):  
Yue Wang ◽  
Kai Hou ◽  
Hongjie Jia ◽  
Yunfei Mu ◽  
Lewei Zhu ◽  
...  
Keyword(s):  
Energy System ◽  
Energy Hub ◽  
Integrated Energy System ◽  
Hub Model

scholarly journals Cooperative Trading Mechanism and Satisfaction-Based Profit Distribution in a Multi-Energy Community

2021 ◽  
Vol 9 ◽  
Author(s):  
Jian Wang ◽  
Ning Xie ◽  
Valentin Ilea ◽  
Cristian Bovo ◽  
Hao Xin ◽  
...  
Keyword(s):  
Social Welfare ◽  
Energy System ◽  
Energy Integration ◽  
Profit Distribution ◽  
Energy Hub ◽  
Usage Patterns ◽  
Integrated Energy System ◽  
Trading Mechanism ◽  
Energy Community ◽  
The Cost

With the development of distributed generation and demand-side response, traditional consumers are now converted into prosumers that can actively produce and consume electricity. Moreover, with the help of energy integration technique, prosumers are encouraged to form a multi-energy community (MEC), which can increase their social welfare through inside multi-energy sharing. This paper proposes a day-ahead cooperative trading mechanism in a MEC that depends on an energy hub (EH) to couple electricity, natural gas, and heat for all prosumers. The model of the traditional uncooperative local integrated energy system (ULIES) is also built as a comparison. A satisfaction-based profit distribution mechanism is set according to prosumers’ feelings about the extra cost they save or extra profit they gain in MEC compared with that in ULIES. Finally, case studies are set to analyze the utility of MEC in enlarging social welfare, after considering the effects of prosumers’ electricity usage patterns and buy-and-sell prices in retail market. The results of satisfaction-based profit distribution are also analyzed to verify that it can save the cost or increase the profit of each prosumer and EH.

scholarly journals Research on Operation Optimization Strategy of Integrated Energy System Considering Ground Source Heat Pump

2020 ◽  
Vol 165 ◽  
pp. 01013
Author(s):  
Linfeng Wang ◽  
Kai Zhang ◽  
Nan Xu ◽  
Jingyan Wang ◽  
Danyang Zhang ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Energy System ◽  
Heat Pumps ◽  
Optimal Operation ◽  
Energy Prices ◽  
Operation Strategy ◽  
Ground Source Heat Pumps ◽  
Operation Optimization ◽  
Ground Source ◽  
Integrated Energy System

With the depletion of fossil energy and the popularity of renewable energy, a comprehensive energy system with the goal of improving system energy efficiency and consuming renewable energy is booming. Based on the combined heat, power, and heat generation, this paper builds a comprehensive energy system operation optimization model in conjunction with ground source heat pumps. It aims to find the optimal operation strategy based on the actual situation of the park’s load, equipment capacity, and energy prices. Using the linear programming method, a mathematical model with the best economic efficiency of the integrated energy system is established, the optimal operation strategy for a typical day is analyzed, and the annual operation is simulated. Finally, it compares with conventional energy supply methods and analyzes the contribution to the consumption of renewable energy.

scholarly journals Security Analysis of Regional Integrated Energy System Integrating Energy Storage

2021 ◽  
Vol 257 ◽  
pp. 01006
Author(s):  
Kaicheng Liu ◽  
Ying Guo ◽  
Dan Wang ◽  
Dezhi Li ◽  
Guixiong He
Keyword(s):  
Energy Storage ◽  
Security Analysis ◽  
System Security ◽  
Energy System ◽  
Improve Energy Efficiency ◽  
Energy Hub ◽  
Integrated Energy System ◽  
Security Region ◽  
The Impact ◽  
Practical Security

Regional integrated energy system (RIES) can realize multi-energy conversion and complementation so as to improve energy efficiency, which also brings more security risks. The regional integrated energy system security region (RIESSR) is a security analysis method to describe the safe area for the operating points of RIES based on the N-1 guideline. As a controllable device, energy storage (ES) which is installed in the energy hub (EH) plays an important role in improving system security. Therefore, this paper establishes the model of practical security region of RIES integrating energy storage, and studies the impact of ES on total supply capability (TSC) and practical security boundary. Finally, a specific case is set to simulate and verify the model. By comparing the scenario with ES and the scenario without ES, it can be seen that the solution result of TSC increases and the security region extends across quadrant when the RIES is integrated with ES system. The capacity and location of the ES also impact on TSC and RIESSR.

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