大型空调负荷参与调峰的分层控制体系与分散协同控制策略

Hu Xiaoqing, Shao Liang, Gu Xiang, Yu Miao, C. Peng, Zhu Hong, Wang Zhe
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引用次数: 6

摘要

为实现大型空调负荷参与需求响应,提出了一种基于leader-follower一致性的分散多智能体协同控制策略。构建了一种能够有效控制大规模ac的分层结构和多智能体相关通信网络的拓扑模型。电网公司的需求侧减载成本是用户减载的二次函数。针对大量分散ac的精确负荷控制需求,提出了一种基于负荷响应增量代价的leader-follower分散协调算法。最后,通过实例分析表明,该方法在不同负载条件和agent拓扑下均能达到最优的一致性状态。并给出了从上到下模拟大型交流电网整体调峰的实例。
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Hierarchical Control Architecture and Decentralized Cooperative Control Strategy for Large Scale Air Conditioning Load Participating in Peak Load Regulation
For the realization of large-scale air conditioning (AC) load to participate in demand response, a decentralized multi-agent cooperative control strategy based on leader-follower consistency was proposed. A hierarchical architecture that can effectively control large-scale ACs and a topology model of multi-agent related communication network were constructed. The demand side load reduction cost of the grid company was a quadratic function for the user's load reduction. A leader-follower decentralized coordination algorithm based on incremental cost of load response was proposed to meet the requirement of precise load control for a large number of dispersed ACs. Finally, case studies were given to show that the proposed method can achieve the optimal state of consistency under different load conditions and agent topology. In addition, an example was given to simulate the overall peak load regulation of large-scale ACs from top to bottom.
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