MetaMetric Approach in Performance Assessment of System Level Controllers for Different Operational Objectives

Abstract

Power system performances are evaluated based on different objective functions, such as cost, energy losses, service quality, bus voltage stability, etc. In this paper, we propose a methodology to combine different performance objective functions (POF) into a single metric called MetaMetric, that is calculated based on operational preferences and goals of the system. We applied and tested this methodology to assess the performance of an evolutionary-based distributed energy management in a hybrid AC-DC microgrid with distributed energy resources (DERs) and energy storage devices (ESDs), in four different scenarios. This paper analyzes the effect of DERs, ESDs and the proposed controller, in improving the performance of the original system. Results are also categorized through a fitness function for linguistic assessment. Also, this paper introduces some important POFs and a methodology to standardize those functions into metrics for uniform evaluation. The MetaMetric is calculated by combining weighted standard metrics that represent the significance of their respected POFs. This process allows energy systems' performance to be monitored with one single metric, that is specifically calculated based on operational situations.