Abstract
With the implementation of the "double carbon" plan, a large number of wind turbines, photovoltaic generators and energy storage devices are connected to the distribution network (DN), posing new challenges to the stability and economic operation of the DN. The uncertainty of wind power generation and photovoltaic power generation puts forward higher requirements for dispatching control of DN. The addition of energy storage devices can restrain the fluctuation of wind and solar output, but considering its high cost, it is necessary to reasonably use energy storage resources. In order to reasonably dispatch the resources in the DN and reduce the economic cost and network loss, a DN optimal dispatch method based on improved Harris Hawk algorithm (IHHO) is proposed. Firstly, Sobol sequence is used to form uniformly distributed initial population (IP) position; Secondly, the nonlinear energy factor is used to make the algorithm still have the ability to jump out of the local optimum in the later stage; Finally, the Newton iteration method is used to enhance the local search energy in the development stage. The example analysis shows that the optimal control algorithm can effectively reduce the network loss and operation cost of the DN on the basis of the safe operation of the DN.
| Original language | English |
|---|---|
| Title of host publication | 3rd International Conference on Internet of Things and Smart City, IoTSC 2023 |
| Editors | Xiangjie Kong, Francisco Falcone |
| Publisher | SPIE |
| ISBN (Electronic) | 9781510666375 |
| DOIs | |
| State | Published - 2023 |
| Event | 3rd International Conference on Internet of Things and Smart City, IoTSC 2023 - Chongqing, China Duration: 24 Mar 2023 → 26 Mar 2023 |
Publication series
| Name | Proceedings of SPIE - The International Society for Optical Engineering |
|---|---|
| Volume | 12708 |
| ISSN (Print) | 0277-786X |
| ISSN (Electronic) | 1996-756X |
Conference
| Conference | 3rd International Conference on Internet of Things and Smart City, IoTSC 2023 |
|---|---|
| Country/Territory | China |
| City | Chongqing |
| Period | 24/03/23 → 26/03/23 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Active distribution network
- Distributed generation
- Harris Hawk optimization algorithm
- Multi-objective optimization
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