考虑灵活性资源特性的分布式平衡交易策略

Distributed balanced trading strategy considering flexible resource participation

中文关键词: 灵活资源  分布式平衡交易  储能系统  模型预测控制  投标价格策略

英文关键词: flexible resources  distributed balanced trading  energy storage system  model predictive control  tender price strategy

中文摘要:

      随着信息技术的不断发展和区块链技术的兴起，分布式平衡交易作为一种创新交易方式受到了广泛关注。灵活资源参与分布式平衡交易，实现了局部电力互补。为保证产消者利益，提出一种考虑灵活资源的分布式平衡交易策略，创新性地将模型预测的滚动优化与自动学习定价结合，动态优化灵活资源的投标数量与价格，基于供求比的分布式市场机制，支持光伏（photo?voltaic，PV）、能量存储（energy storage，ES）及负荷的协同调度。首先，针对PV发电生产商、具有ES的光伏发电生产商、具有灵活资源的电力消费者、电力消费者和电力平衡服务提供商之间的关系，提出分布式交易框架；其次，基于模型预测控制（model pre?dictive control，MPC）理论，提出一种最小成本滚动优化模型，优化灵活资源的投标数量；最后，根据市场需求和供应情况，提出投标价格策略。仿真结果表明：提出的分布式平衡交易策略可以提高消费者的收益，增强本地平衡能力，提高交易率。

英文摘要:

      With the continuous development of information technology and the rise of blockchain technology, distributed balanced trading has attracted widespread attention as an innovative trading method. Flexible resources participate in distributed balanced trading, realize local power complementarity, improve efficiency, and reduce line operation pressure. In order to ensure the interests of producers and consumers, a distributed balanced trading strategy considering flexible resources is proposed. Firstly, for the relationship between photovoltaic （PV）power generation producers, photovoltaic power generation producers with energy storage systems（ES）, power consumers with flexible resources, power consumers and power balance service providers, a distributed transaction framework is proposed; Secondly, based on the model predictive control（MPC）theory, a minimum cost rolling optimization model is proposed to optimize the number of bids for flexible resources；Then according to the market demand and supply situation, put forward the bidding price strategy；Finally, the simulation results show that this strategy can improve the consumer’s income, enhance the local balance ability, and improve the transaction rate.