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

Optimal Scheduling Considering Different Energy Hub Model of Integrated Energy System

2021 ◽  
Author(s):  
Jian Liu ◽  
Pengkai Sun ◽  
Yongjin Yu ◽  
Shuai Dong ◽  
Kaixuan Wang ◽  
...  
Keyword(s):  
Energy System ◽  
Optimal Scheduling ◽  
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 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.

scholarly journals Optimal Operation of Integrated Electrical and Natural Gas Networks with a Focus on Distributed Energy Hub Systems

2020 ◽  
Vol 12 (20) ◽  
pp. 8320
Author(s):  
Mohammad Hemmati ◽  
Mehdi Abapour ◽  
Behnam Mohammadi-Ivatloo ◽  
Amjad Anvari-Moghaddam
Keyword(s):  
Natural Gas ◽  
Gas Flow ◽  
Energy Systems ◽  
Energy System ◽  
Optimal Operation ◽  
Electrical Load ◽  
Energy Hub ◽  
Proposed Model ◽  
Carrier Energy ◽  
Integrated Energy System

Coordinated multi-carrier energy systems with natural gas and electricity energies provide specific opportunities to improve energy efficiency and flexibility of the energy supply. The interdependency of electricity and natural gas networks faces multiple challenges from power and gas flow in corresponding feeders and pipes and connection points between two infrastructures’ points of view. However, the energy hub concepts as the fundamental concept of multi-carrier energy systems with multiple conversion, storage, and generation facilities can be considered as a connection point between electricity and gas grids. Hence, this paper proposes an optimal operation of coordinated gas and electricity distribution networks by considering interconnected energy hubs. The proposed energy hub is equipped with combined heat and power units, a boiler, battery energy storage, a heat pump, and a gas-fired unit to meet the heating and electrical load demands. The proposed model is formulated as a two-stage scenario-based stochastic model aiming to minimize total operational cost considering wind energy, electrical load, and real-time power price uncertainties. The proposed integrated energy system can participate in real-time and day-ahead power markets, as well as the gas market, to purchase its required energy. The AC-power flow and Weymouth equation are extended to describe power and gas flow in feeders and gas pipelines, respectively. Therefore, a realistic model for the integrated electricity and gas grids considering coupling constraints is satisfied. The proposed model is tested on the integrated energy system and consists of a 33-bus electrical network and a 6-node gas grid with multiple interconnected energy hubs, where the numerical results reveal the effectiveness of the proposed model.

Planning Method of Regional Integrated Energy System considering Demand Side Uncertainty

2018 ◽  
Vol 20 (1) ◽  
Author(s):  
Shaoyun Ge ◽  
Xiaoou Liu ◽  
Lukun Ge
Keyword(s):  
Programming Model ◽  
Energy System ◽  
Planning Method ◽  
Mixed Integer ◽  
Planning Model ◽  
Demand Side ◽  
Energy Hub ◽  
Robust Planning ◽  
Integrated Energy System ◽  
Electrical Loads

Abstract In this paper, a robust planning method of regional integrated energy system (IES) considering the uncertainty of cooling, heat and electrical loads on the demand side is submitted. First, the energy hub (EH) model of regional IES with Combined Cooling Heating and Power (CCHP), electric air-conditioning unit (EC) and gas boiler (GB) is established. Second, the uncertainty of load is described by the method of adjustable interval, and the robust planning model of regional IES is formed. Third, the robust programming model can be transformed into a convex mixed integer planning model, and then solved. Finally, the case study is carried out with a comprehensive area of Tianjin in China, the results are analyzed to verify the effectiveness of the proposed planning method.

scholarly journals Day-Ahead Hierarchical Steady State Optimal Operation for Integrated Energy System Based on Energy Hub

Energies ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 2765 ◽  
Author(s):  
Yongjie Zhong ◽  
Dongliang Xie ◽  
Suwei Zhai ◽  
Yonghui Sun
Keyword(s):  
Steady State ◽  
Natural Gas ◽  
Energy Demand ◽  
Operating Cost ◽  
Energy System ◽  
Optimal Operation ◽  
Cost Index ◽  
District Heating System ◽  
Energy Hub ◽  
Integrated Energy System

The integrated energy system (IES) has the characteristic of energy system integrated/multi-energy coupling that involves heat, cooling, electricity, natural gas, and various other energy forms, which can maximize the synergistic effects and complementary benefits among various energy forms and their comprehensive utilization. In this paper, based on energy hub (EH), the day-ahead hierarchical steady state optimal operation for IES is discussed, in which the coupling natural gas system, electricity transmission system, and district heating system are all considered. Firstly, the model architecture of EH with diverse storage devices, renewable energy, and different energy conversion equipment is proposed and the steady state mathematical model of different energy networks in IES is developed, respectively. Secondly, the day-ahead operating cost of EH is minimized by an optimizing strategy to maximize the benefits of all kinds of energy demand users, where different types of energy power input into EH can be obtained. Then, the day-ahead optimal operation mode for IES considering minimization of operating fuel cost index is proposed via an energy management system, which provides various energy power data that are uploaded from EH. Finally, numerical results are presented to verify the effectiveness and usefulness of the day-ahead hierarchical optimal operation and steady state calculation analysis for IES, which could further illustrate that the proposed optimal operation can meet the requirements of practical engineering applications.

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.

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