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 Multi-Scenario Physical Energy Storage Planning of Integrated Energy Systems Considering Dynamic Characteristics of Heating Network and Demand Response

2021 ◽  
Vol 9 ◽  
Author(s):  
Xin Deng ◽  
Yixin Huang ◽  
Yuge Chen ◽  
Changming Chen ◽  
Li Yang ◽  
...  
Keyword(s):  
Energy Storage ◽  
Dynamic Characteristics ◽  
Energy System ◽  
Integrated Energy Systems ◽  
Equipment Construction ◽  
Physical Energy ◽  
Proposed Model ◽  
Integrated Energy System ◽  
Node Network

The configuration of energy storage in the integrated energy system (IES) can effectively improve the consumption rate of renewable energy and the flexibility of system operation. Due to the high cost and long cycle of the physical energy storage construction, the configuration of energy storage is limited. The dynamic characteristics of the heating network and the demand-side response (DR) can realize the space-time transfer of energy. Although there is no actual energy storage equipment construction, it plays a similar role to physical energy storage and can be considered as virtual energy storage in IES planning. In this paper, a multi-scenario physical energy storage planning model of IES considering the dynamic characteristics of the heating network and DR is proposed. To make full use of the energy storage potential of the proposed model, the virtual energy storage features of the dynamic heating characteristics of the heating network and DR are analyzed at first. Next, aiming at the uncertainty of wind turbine (WT) and photovoltaic (PV) output, the scenario analysis method is used to describe the wind and photovoltaic power output with different probabilities. Finally, an electrothermal IES with an IEEE 33-node network and a 26-node heating network serves as an example to verify the effectiveness of the proposed model. The case study shows that the proposed model effectively reduces the physical energy storage configuration and achieves the economic trade-off between the investment cost and the operation cost.

scholarly journals Multiobjective Optimized Dispatching for Integrated Energy System Based on Hierarchical Progressive Parallel NSGA-II Algorithm

2020 ◽  
Vol 2020 ◽  
pp. 1-22
Author(s):  
Aidong Zeng ◽  
Sipeng Hao ◽  
Jia Ning ◽  
Qingshan Xu ◽  
Ling Jiang
Keyword(s):  
Multiobjective Optimization ◽  
Energy System ◽  
Pollutant Emissions ◽  
Sorting Algorithm ◽  
Economic Optimization ◽  
Nsga Ii ◽  
Practical Engineering ◽  
Integrated Energy System ◽  
Accelerate Convergence ◽  
Judgment Condition

Considering the importance of reducing system operating costs and controlling pollutant emissions by optimizing the operation of the integrated energy system, the energy supply structure of the integrated energy system and the joint multiobjective optimization dispatching structure is analyzed in this paper based on a day-ahead economic optimization dispatching model of the integrated energy system. Afterwards, the multiobjective optimization model of the integrated energy system is studied and multiobjective hierarchical progressive parallel algorithm based on improved NSGA-II is proposed according to the characteristics of the model. The algorithm improves the nondominated layer sorting algorithm, changes the convergence judgment condition while introducing the target reaching method to accelerate convergence, and introduces parallel computing technology according to the characteristics of the algorithm. The case shows that the proposed algorithm not only has advantages on the diversity in searching solutions but also can achieve better results in many aspects such as the iteration time and algorithm convergence which are required in practical engineering projects.

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