Multi-objective Coordination and Optimal Scheduling of Integrated Energy System for Improving Wind Power Consumption

2020 ◽  
pp. 383-396
Author(s):  
Ziyang Liu ◽  
Yan Zhao ◽  
Kaijin Xue
Keyword(s):  
Power Consumption ◽  
Wind Power ◽  
Energy System ◽  
Optimal Scheduling ◽  
Multi Objective ◽  
Integrated Energy System

scholarly journals Operation Optimization of Regional Integrated Energy System Based on Electric Heating Gas Demand Response

2020 ◽  
Vol 218 ◽  
pp. 01002
Author(s):  
Nan Wang ◽  
Jialin Yang ◽  
Xichao Zhou ◽  
Zhen Li ◽  
Yaling Sun ◽  
...  
Keyword(s):  
Power Consumption ◽  
Wind Power ◽  
Demand Response ◽  
Energy Cost ◽  
Energy System ◽  
Multi Objective Optimization ◽  
Total Energy Consumption ◽  
Multi Objective ◽  
Trade Offs ◽  
Integrated Energy System

Taking into account the energy cost, pollution emission, wind power consumption, and other dispatching objectives in the regionally integrated energy system (RIES), the RIES multi-objective optimization model considering the integrated demand response is established. Firstly, the RIES modeling of equipment including electricity-to-gas, energy storage systems, cogeneration units, etc., and the introduction of a comprehensive demand response that specifically considers load reduction, load transfer, and load replacement in the region, aimed at reducing system load peaks and valleys difference. Then, the objective function to minimize the system energy cost, the abandoned wind power, and the pollutant treatment cost was established respectively, and the multi-objective optimization method was adopted—the Pareto front was solved by fuzzy weighted programming traversal weights, and then the decision was made based on evidence Method to find the optimal scheduling strategy. Finally, based on a typical case study, the results show that the proposed multi-objective optimization algorithm can effectively make trade-offs among multiple scheduling objectives, and RIES considering comprehensive demand response has advantages in terms of total energy consumption, environmental friendliness, and wind power consumption.

scholarly journals Day-Ahead and Intra-Day Optimal Scheduling of Integrated Energy System Considering Uncertainty of Source & Load Power Forecasting

Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2539
Author(s):  
Zhengjie Li ◽  
Zhisheng Zhang
Keyword(s):  
Wind Power ◽  
Demand Response ◽  
Solar Power ◽  
Load Forecasting ◽  
Energy System ◽  
Optimal Scheduling ◽  
Scheduling Scheme ◽  
Load Power ◽  
Integrated Energy System ◽  
Operation Cost

At present, due to the errors of wind power, solar power and various types of load forecasting, the optimal scheduling results of the integrated energy system (IES) will be inaccurate, which will affect the economic and reliable operation of the integrated energy system. In order to solve this problem, a day-ahead and intra-day optimal scheduling model of integrated energy system considering forecasting uncertainty is proposed in this paper, which takes the minimum operation cost of the system as the target, and different processing strategies are adopted for the model. In the day-ahead time scale, according to day-ahead load forecasting, an integrated demand response (IDR) strategy is formulated to adjust the load curve, and an optimal scheduling scheme is obtained. In the intra-day time scale, the predicted value of wind power, solar power and load power are represented by fuzzy parameters to participate in the optimal scheduling of the system, and the output of units is adjusted based on the day-ahead scheduling scheme according to the day-ahead forecasting results. The simulation of specific examples shows that the integrated demand response can effectively adjust the load demand and improve the economy and reliability of the system operation. At the same time, the operation cost of the system is related to the reliability of the accurate prediction of wind power, solar power and load power. Through this model, the optimal scheduling scheme can be determined under an acceptable prediction accuracy and confidence level.

scholarly journals Research on sensitivity analysis of wind power consumption capability of integrated energy system based on unified optimal power flow model

2019 ◽  
Vol 2019 (12) ◽  
pp. 8471-8476
Author(s):  
Yongqiang Mu ◽  
Chunsheng Wang ◽  
Guangyou Kang ◽  
Zheng Wang ◽  
Tao Jiang ◽  
...  
Keyword(s):  
Sensitivity Analysis ◽  
Power Consumption ◽  
Wind Power ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Flow Model ◽  
Energy System ◽  
Optimal Power ◽  
Integrated Energy System

Multi-objective Optimal Operation of District Integrated Energy System

2020 ◽  
Author(s):  
Wenbiao Lu ◽  
Qian Xiao ◽  
Zhipeng Jiao ◽  
Qian Jiang ◽  
Yunfei Mu ◽  
...  
Keyword(s):  
Energy System ◽  
Optimal Operation ◽  
Multi Objective ◽  
Integrated Energy System
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