This paper presents a decentralized multiarea multiagent economic dispatch (DMMED) model using select meta-heuristic optimization (MO) algorithms. The previous multiarea economic dispatch (MAED) studies that used MO algorithms were centrally planned and did not include multiple independent local agents in their decision-making framework. The proposed model allows to optimize the operation of the power systems involving the system operators (TSOs) and multiple independent local aggregators (LAs) in a decentralized manner. The objective of the model is to minimize the total operation cost of the system in a time-efficient manner by effectively coordinating the operation of the TSOs and LAs. Each area accounts for its operational uncertainties and power reserves considering the worst-case scenarios of the uncertainty sets of the individual agent in the area. To respect each area ownership, the solution algorithm utilizes separate population sets and a dependent bi-level operation approach to solve the DMMED model for each area in parallel, allowing the areas to achieve optimal operation, independently. Case studies with select MO algorithms are performed on a modified Nigerian 330 kV 39-bus transmission systems having three areas each with one TSO and three LAs to demonstrate the effectiveness of the proposed model.

本文提出了一种使用选择元启发式优化（MO）算法的分散式多区域多主体经济调度（DMMED）模型。以前使用MO算法的多区域经济调度（MAED）研究是集中计划的，并且在其决策框架中不包括多个独立的本地代理。提出的模型允许以分散的方式优化涉及系统运营商（TSO）和多个独立的本地聚合器（LA）的电力系统的运行。该模型的目的是通过有效地协调TSO和LA的运行，以一种省时的方式将系统的总运行成本降至最低。考虑到该区域内单个代理的不确定性集的最坏情况，每个区域都要考虑其操作不确定性和功率储备。为了尊重每个区域的所有权，该解决方案算法利用单独的总体集和相关的双层操作方法来并行求解每个区域的DMMED模型，从而使这些区域独立地实现最佳操作。在改进的尼日利亚330 kV 39总线输电系统上进行了具有选择MO算法的案例研究，该系统具有三个区域，每个区域具有一个TSO和三个LA，以证明所提出模型的有效性。使各个区域独立实现最佳运行。在改进的尼日利亚330 kV 39总线输电系统上进行了具有选择MO算法的案例研究，该系统具有三个区域，每个区域具有一个TSO和三个LA，以证明所提出模型的有效性。使区域独立实现最佳运行。在改进的尼日利亚330 kV 39总线输电系统上进行了具有选择MO算法的案例研究，该系统具有三个区域，每个区域具有一个TSO和三个LA，以证明所提出模型的有效性。