학술논문

Day-Ahead Hierarchical Optimal Scheduling for Offshore Integrated Electricity-Gas-Heat Energy System Considering Load Forecasting
Document Type
Conference
Source
IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society Industrial Electronics Society, IECON 2019 - 45th Annual Conference of the IEEE. 1:2342-2347 Oct, 2019
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineering Profession
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Cogeneration
Optimization
Wind power generation
Mathematical model
Load modeling
Oils
Natural gas
integrated energy system
day-ahead hierarchical optimal scheduling
P2G
wind power consumption
load forecasting
Language
ISSN
2577-1647
Abstract
In order to ensure the economic operation of the offshore integrated energy system and improve the wind power consumption, a day-ahead hierarchical scheduling strategy should be formulated. Firstly, a short-term load forecasting model with interval time series auto-regressive integrated moving average method is built. Secondly, take the total cost as the multi-energy control layer and take the wind power curtailment cost as the energy efficiency optimization layer to establish the hierarchical optimal model. And a modified particle swarm optimization algorithm is used to obtain the optimal solution. Then two schemes are proposed to explore the impact on system. Finally, a certain offshore platform in China is taken as an example to calculate. The results show that the proposed method can realize the optimal scheduling of the system. And the application of power to gas technology can better accommodate wind power and greatly reduce the economic cost.