Analysis Of Energy Management System Research Articles

Analysis of an Energy Management System of a Small Plant Connected to the Rural Power System

This paper presents the analysis of an energy management system (EMS) implemented to fulfill the requirements of a microgrid (MG) power supply owned by a small industrial company and connected to the rural power system. The main goal of this system is to ensure connection with the existing rural power system in terms of energy exchange, as well as to perform islanding mode operation of the microgrid based on the energy demand of the company. Power generated in the implemented microgrid is based on a hybrid system supported by renewable energy sources and an energy storage system. The aim of the developed energy management system implemented in this MG power system is to enable the microgrid to operate according to scheduled diagrams related to different load events. The presented investigation, analysis, and assessment of the implemented energy management system are based on the on-site measurements and observations of the long-term operation of the microgrid concerning the hybrid renewable energy-based generation system and the company energy demand, which is useful from perspective of the predicted deficiency of electrical energy in Poland, both for customers and transmission system operators. Furthermore, the observed drawbacks and failures of the implemented EMS and the MG are pointed out and discussed to overcome and minimize these disadvantages, and to improve the operational reliability of the whole system.

A High-Performance Energy Management System Based on Evolving Graph

As the fast growth and large integration of distributed generation, renewable energy resource, energy storage system, and load response, the modern power system operation becomes much more complicated with increasing uncertainties and frequent changes. Increased operation risks are introduced to the existing commercial energy management system (EMS), due to its limited computational capability. In this brief, a high-performance EMS analysis framework based on the evolving graph is developed. A power grid is first modeled as an evolving graph and then the power system dynamic analysis applications, like network topology processing (NTP), state estimation (SE), power flow (PF), and contingency analysis (CA), are efficiently implemented on the system evolving graph to build a high-performance EMS analysis framework. Its computation performance is field tested using a 2749-bus power system in Sichuan, China. The results illustrate that the proposed EMS remarkably speeds up the computation performance and reaches the goal of real-time power system analysis.

Linear combination of day-ahead charge/discharge scheduling toward multi objective analysis of energy management system

With increasing installation of residential photovoltaic (PV) systems, distributed battery energy storage systems can be utilized for supply-demand balancing. Aggregators perform day-ahead scheduling for efficient energy management in some optimized method as ways. For optimization, however, criterions of values could change with the time or situation. In this study, we propose a method to investigate and compare various kinds of day-ahead charge/discharge schedulings based on different evaluation indices. First, we show that feasible schedulings are expressed as superpositions of reference schedulings obtained by simple strategies. Then, the method is applied to an aggregator with consumers who each has rooftop PVs and battery energy storage systems. A fairness index is defined as a correlation coefficient between battery usage and grid usage. Simulation results show a trade-off relationship between the total amount of charge/discharge of the batteries and the dispersion of power flows, and a relationship between the fairness index and the strategy of day-ahead scheduling.