scholarly journals An integrated energy system scheduling optimization method considering economy, stability and environmental protection

2021 ◽  
Vol 1914 (1) ◽  
pp. 012017
Author(s):  
Qinghui Lou ◽  
Jun Chen ◽  
Honghai Niu ◽  
Rui Qiu ◽  
Jun Wu ◽  
...  
Keyword(s):  
Environmental Protection ◽  
Energy System ◽  
Optimization Method ◽  
Scheduling Optimization ◽  
Integrated Energy System

scholarly journals An Optimization Method for an Integrated Energy System Scheduling Process Based on NSGA-II Improved by Tent Mapping Chaotic Algorithms

Processes ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 426 ◽  
Author(s):  
Shengran Chen ◽  
Shengyan Wang
Keyword(s):  
Economic Dispatch ◽  
Energy System ◽  
Optimization Method ◽  
Nsga Ii ◽  
Tent Map ◽  
Chaos Optimization ◽  
Basic Model ◽  
Proposed Model ◽  
Integrated Energy System ◽  
Supply Equipment

The integrated energy system is a vital part of distributed energy industries. In addition to this, the optimal economic dispatch model, which takes into account the complementary coordination of multienergy, is an important research topic. Considering the constraints of power balance, energy supply equipment, and energy storage equipment, a basic model of optimal economic dispatch of an integrated energy system is established. On this basis, a multiobjective function solving algorithm of NSGA-II, based on tent map chaos optimization, is proposed. The proposed model and algorithm are applied. The simulation results show that the optimal economic scheduling model of the integrated energy system established in this paper can provide a more economic system operation scheme and reduce the operation cost and risks associated with an integrated energy system. The Non-dominated Sorting Genetic Algorithm-II (NSGA-II) multiobjective function solving algorithm, based on tent map chaos optimization, has better performance and efficiency.

scholarly journals Research on the coordinated optimization operation method of Park Comprehensive Energy System Based on master-slave game

2021 ◽  
Vol 245 ◽  
pp. 01044
Author(s):  
Nan Xu ◽  
Bo Zhou ◽  
Jing Nie ◽  
Yan Song ◽  
Zihao Zhao
Keyword(s):  
Cost Model ◽  
Energy System ◽  
Optimization Method ◽  
Energy Market ◽  
Model Operator ◽  
Load Model ◽  
Game Equilibrium ◽  
Coordinated Optimization ◽  
Integrated Energy System ◽  
Multi Agent

With the transformation of the energy market from the traditional vertical integrated structure to the interactive competitive structure, the distributed characteristics of the energy system become more and more obvious, and the traditional centralized optimization method is difficult to reveal the interaction between the multi-agent. In this paper, a method based on master-slave game is proposed to optimize the operation of park integrated energy system. Firstly, user load model, user benefit model, operator revenue and cost model are established for park integrated energy system. Secondly, the Stackelberg master-slave game model of interactive optimization operation is established, and the peak cutting compensation price is adjusted. Both of them aim at maximizing their own interests until the game equilibrium is achieved. A distributed cooperative optimization model with one master and many slaves is established and solved by the combination of genetic algorithm and quadratic programming. Finally, an example is given to verify the effectiveness of the proposed method.

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.

scholarly journals A comprehensive energy system optimization method considering variable operating condition characteristics of equipment

2021 ◽  
Vol 256 ◽  
pp. 02029
Author(s):  
Yongli Wang ◽  
Suhang Yao ◽  
Siyi Tao ◽  
Yuze Ma ◽  
Yanchao Lu
Keyword(s):  
System Optimization ◽  
Energy System ◽  
Optimization Method ◽  
Operating Conditions ◽  
Optimal Scheduling ◽  
Scheduling Scheme ◽  
Load Rate ◽  
Integrated Energy System ◽  
Scheduling Method ◽  
Variable Operating Conditions

The economy of the Regional Integrated Energy System (RIES) scheduling scheme is affected by the parameter accuracy of different energy conversion equipment models. The traditional static energy hub (EH) model regards the equipment efficiency as a constant and ignores the variable condition characteristics of the equipment efficiency changing with the load rate. This paper presents an optimal scheduling method of RIES considering the characteristics of equipment under variable operating conditions. Firstly, the architecture of the integrated energy system is analyzed. Secondly, based on the DEH model, an optimal scheduling method of RIES was proposed considering the characteristics of equipment under variable operating conditions. Finally, an optimal scheduling analysis is performed for a typical RIs. The results show that the proposed method can improve the accuracy of the equipment model and reduce the cost prediction error by considering the variable operating conditions of the equipment, thus providing a more economical scheduling scheme for Ries.

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