An Integrated Energy System Optimization Method Considering Q Learning Algorithm

2020 ◽  
Author(s):  
Yongli Wang ◽  
Shuquan Li ◽  
Daomin Qu ◽  
Shaokun Jia ◽  
Xincan Gan ◽  
...  
Keyword(s):  
Learning Algorithm ◽  
System Optimization ◽  
Energy System ◽  
Optimization Method ◽  
Q Learning ◽  
Integrated Energy System

scholarly journals A Cascaded Algorithm Incorporating Knowledge Transfer Q-learning and Interior Point Method for Coordinated Operation of Integrated Energy System

2019 ◽  
Vol 95 ◽  
pp. 02001
Author(s):  
Yuan Jianhua ◽  
Li Haofei ◽  
Ji Chenyu ◽  
Ji Yu
Keyword(s):  
Knowledge Transfer ◽  
Interior Point ◽  
Interior Point Method ◽  
Learning Algorithm ◽  
Energy System ◽  
Test System ◽  
Point Method ◽  
Energy System Model ◽  
Q Learning ◽  
Integrated Energy System

The recent development of the Energy Internet has urged the conventional inefficient utilization of single energy to change towards the more developed energy usage of optimal dispatch of the integrated energy system. In this context, the joint optimization scheduling framework of integrated energy system is established based on the energy hub. Then a typical integrated energy system model is developed considering carbon emission and energy supply costs with valve point effect. To solve this non-linear problem with non-convex, discontinuously differentiable characteristic, the cascaded algorithm combined with the knowledge transfer based Q-learning algorithm and interior point method is applied on the model. Meanwhile, the efficiency is greatly improved by knowledge transfer. Case studies have been carried out on a 33energy hubs test system to verify the effectiveness of the proposed model and algorithm.

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.

scholarly journals Integrated Energy System Optimization Based on Standardized Matrix Modeling Method

2018 ◽  
Vol 8 (12) ◽  
pp. 2372 ◽  
Author(s):  
Jingchao Li ◽  
Yulong Ying ◽  
Xingdan Lou ◽  
Juanjuan Fan ◽  
Yunlongyu Chen ◽  
...  
Keyword(s):  
Energy Flow ◽  
Nonlinear Problems ◽  
System Optimization ◽  
Energy System ◽  
Optimization Method ◽  
Modeling Method ◽  
Matrix Modeling ◽  
System Components ◽  
Integrated Energy System ◽  
Energy Conversion Devices

Aiming at the optimization of an integrated energy system, a standardized matrix modeling method and optimization method for an integrated energy system is proposed. Firstly, from the perspective of system engineering, the energy flow between energy conversion devices is used as a state variable to deal with nonlinear problems caused by the introduction of scheduling factors, and a standardized matrix model of the integrated energy system is constructed. Secondly, based on the proposed model, the structural optimization (i.e., energy flow structure and equipment type), design optimization (i.e., equipment capacity and quantity), and operation optimization for the integrated energy system can be achieved. The simulation case studies have shown that the proposed integrated energy system standardized matrix modeling method and optimization method are both simple and efficient, and can be effectively used to decide the system components and their interconnections, and the technical characteristics and daily operating strategy of the system components.

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 Three-stage optimization method for distributed energy system design under uncertainty

2019 ◽  
pp. 382-382
Author(s):  
Zhenyu Wang ◽  
Chupeng Xiao ◽  
Hao Li ◽  
Chaoyang Xu ◽  
Jun Zhao ◽  
...  
Keyword(s):  
Search Algorithm ◽  
Design Method ◽  
System Optimization ◽  
Energy System ◽  
Optimization Method ◽  
Energy Prices ◽  
Distributed Energy ◽  
Distributed Energy System ◽  
Two Stages ◽  
Combined Cooling

Reasonable capacity configurations of distributed energy system are issues which need to be discussed. Determinate design without considering variations in energy load and energy prices can result in non-achievement of project targets during its service life. Therefore, a design method that takes into account uncertain factors takes precedence over other methods. In this paper, a three-stage optimization method is proposed to provide theoretical guidance on the optimization of combined cooling, heating and power (CCHP) system configurations. The first two stages link the optimization of the operation strategy and equipment capacities simultaneously under current load and energy prices. The Monte-Carlo Simulation is applied in the third stage to fully consider the effects of various possible scenarios, and the Tabu search algorithm (TS) was introduced for system optimization. The comprehensive benefits include energy consumption, economy, and emission level. These were taken into consideration in the objective function. Moreover, a detailed design process was presented to illustrate the application of the proposed method. In conclusion, the proposed method is not only suitable for the design of CCHP system, but could easily extend to other energy system easily.

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.

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