A Class of Control Strategies for Energy Internet Considering System Robustness and Operation Cost Optimization
Aiming at restructuring the conventional energy delivery infrastructure, the concept of energy Internet (EI) has become popular in recent years. Outstanding benefits from an EI include openness, robustness and reliability. Most of the existing literatures focus on the conceptual design of EI and are...
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-06-01
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| Series: | Energies |
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| Online Access: | http://www.mdpi.com/1996-1073/11/6/1593 |
| _version_ | 1811186496053444608 |
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| author | Haochen Hua Chuantong Hao Yuchao Qin Junwei Cao |
| author_facet | Haochen Hua Chuantong Hao Yuchao Qin Junwei Cao |
| author_sort | Haochen Hua |
| collection | DOAJ |
| description | Aiming at restructuring the conventional energy delivery infrastructure, the concept of energy Internet (EI) has become popular in recent years. Outstanding benefits from an EI include openness, robustness and reliability. Most of the existing literatures focus on the conceptual design of EI and are lack of theoretical investigation on developing specific control strategies for the operation of EI. In this paper, a class of control strategies for EI considering system robustness and operation cost optimization is investigated. Focusing on the EI system robustness issue, system parameter uncertainty, external disturbance and tracking error are taken into consideration, and we formulate such robust control issue as a structure specified mixed H2/H∞ control problem. When formulating the operation cost optimization problem, three aspects are considered: realizing the bottom-up energy management principle, reducing the cost involved by power delivery from power grid (PG) to microgrid (MG), and avoiding the situation of over-control. We highlight that this is the very first time that the above targets are considered simultaneously in the field of EI. The integrated control issue is considered in frequency domain and is solved by a particle swarm optimization (PSO) algorithm. Simulation results show that our proposed method achieves the targets. |
| first_indexed | 2024-04-11T13:46:24Z |
| format | Article |
| id | doaj.art-9e7dbe3fe16c440bb7a9836f48d8c2c1 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-11T13:46:24Z |
| publishDate | 2018-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-9e7dbe3fe16c440bb7a9836f48d8c2c12022-12-22T04:21:01ZengMDPI AGEnergies1996-10732018-06-01116159310.3390/en11061593en11061593A Class of Control Strategies for Energy Internet Considering System Robustness and Operation Cost OptimizationHaochen Hua0Chuantong Hao1Yuchao Qin2Junwei Cao3Research Institute of Information Technology, Tsinghua University, Beijing 100084, ChinaResearch Institute of Information Technology, Tsinghua University, Beijing 100084, ChinaResearch Institute of Information Technology, Tsinghua University, Beijing 100084, ChinaResearch Institute of Information Technology, Tsinghua University, Beijing 100084, ChinaAiming at restructuring the conventional energy delivery infrastructure, the concept of energy Internet (EI) has become popular in recent years. Outstanding benefits from an EI include openness, robustness and reliability. Most of the existing literatures focus on the conceptual design of EI and are lack of theoretical investigation on developing specific control strategies for the operation of EI. In this paper, a class of control strategies for EI considering system robustness and operation cost optimization is investigated. Focusing on the EI system robustness issue, system parameter uncertainty, external disturbance and tracking error are taken into consideration, and we formulate such robust control issue as a structure specified mixed H2/H∞ control problem. When formulating the operation cost optimization problem, three aspects are considered: realizing the bottom-up energy management principle, reducing the cost involved by power delivery from power grid (PG) to microgrid (MG), and avoiding the situation of over-control. We highlight that this is the very first time that the above targets are considered simultaneously in the field of EI. The integrated control issue is considered in frequency domain and is solved by a particle swarm optimization (PSO) algorithm. Simulation results show that our proposed method achieves the targets.http://www.mdpi.com/1996-1073/11/6/1593energy Internetmicrogridsmixed H2/H∞ controloptimal controlrobust control |
| spellingShingle | Haochen Hua Chuantong Hao Yuchao Qin Junwei Cao A Class of Control Strategies for Energy Internet Considering System Robustness and Operation Cost Optimization Energies energy Internet microgrids mixed H2/H∞ control optimal control robust control |
| title | A Class of Control Strategies for Energy Internet Considering System Robustness and Operation Cost Optimization |
| title_full | A Class of Control Strategies for Energy Internet Considering System Robustness and Operation Cost Optimization |
| title_fullStr | A Class of Control Strategies for Energy Internet Considering System Robustness and Operation Cost Optimization |
| title_full_unstemmed | A Class of Control Strategies for Energy Internet Considering System Robustness and Operation Cost Optimization |
| title_short | A Class of Control Strategies for Energy Internet Considering System Robustness and Operation Cost Optimization |
| title_sort | class of control strategies for energy internet considering system robustness and operation cost optimization |
| topic | energy Internet microgrids mixed H2/H∞ control optimal control robust control |
| url | http://www.mdpi.com/1996-1073/11/6/1593 |
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