基于全局Pareto的台区柔性可调资源分布式协调优化建模

Distributed Coordination Optimization Modeling of Flexible and Adjustable Resources in Platform Area Based on Global Pareto

为了节约资源、减少终端用户电费支出、降低电力公司成本,并满足用户多样的冷热电负荷需求,提出一种台区下的资源调控及优化方法.通过分析台区下资源分层分布式协调运行典型场景,以局部Agent层和电源Agent层为优化双目标,建立分层分布式协调优化模型,以电能平衡、与主网交互功率和电压约束等为约束条件,利用模型预测控制算法求解模型最优解.最后通过在不同典型场景下算例验证所提方法的可行性,为可调资源优化提供技术支撑.

In order to save resources,reduce the electricity expense of the end user,reduce the cost of the power company,and satisfy the various cold and hot load demands of the users,a method of resource regulation and optimization under the platform area is proposed.By analyzing the typical scenario of layered distributed coordinated operation of resources under the platform area,a layered distributed coordinated optimization model was established with the dual objectives of the local agent layer and the power supply agent layer as the optimization objectives.Finally,the feasibility of the proposed method is verified by examples in different typical scenarios to provide technical support for the optimization of adjustable resources.