| 引用本文: | 李嘉伟,张璐,路华振.能源区块链架构下考虑需求响应用户信用风险的微电网优化调度[J].电力自动化设备,2024,44(12):115-123. |
| LI Jiawei,ZHANG Lu,LU Huazhen.Optimal scheduling of microgrid considering credit risk of demand response users based on energy block-chain architecture[J].Electric Power Automation Equipment,2024,44(12):115-123. |
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| 摘要: |
| 微电网促使用户侧需求响应资源参与电网互动，然而用户主观违约使其响应行为具有较高的不确定性和安全风险，尚无法合理制定并引导其协同参与系统调度决策。针对以上问题，利用能源区块链安全可信、公开透明的技术特点，提出了基于能源区块链架构的微电网优化调度策略。考虑需求响应用户调节潜力和违约风险，建立了计及需求响应用户的微电网经济优化调度模型；结合智能合约技术设计了需求响应用户信用管理机制，并通过基于历史数据的信用评估体系和基于奖惩制度的信用管控方案来有效引导用户可信积极地参与系统优化调度计划。算例分析表明所提方法能明显提高需求响应用户参与调度的可用性。 |
| 关键词: 微电网 优化调度 需求响应 信用风险管理 能源区块链 |
| DOI：10.16081/j.epae.202409027 |
| 分类号:TM73 |
| 基金项目:国家自然科学基金资助项目(51977211) |
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| Optimal scheduling of microgrid considering credit risk of demand response users based on energy block-chain architecture |
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LI Jiawei, ZHANG Lu, LU Huazhen
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College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China
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| Abstract: |
| The microgrid promotes the user-side demand response resources to participate in the grid interaction. However, due to the high uncertainty and security risk of the user’s subjective default, it is still impossible to reasonably formulate and guide the user’s collaborative participation in the system scheduling decision. In view of the above problems, using the technical characteristics of energy block-chain, such as security, credibility, openness and transparency, an optimal scheduling strategy of microgrid based on energy block-chain architecture is proposed. Considering the adjustment potential and default risk of demand response users when making scheduling decisions, an economic optimal scheduling model of microgrid considering demand response users is established. Combined with smart contract technology, a demand response user credit management mechanism is designed, and through the credit evaluation system based on historical data and the credit management and control scheme based on reward and punishment system, users are effectively guided to participate in the system optimization scheduling plan credibly and actively. The example analysis demonstrates that the proposed method can enhance the availability of demand response users in participating in scheduling. |
| Key words: microgrid optimal scheduling demand response credit risk management energy block-chain |
