Integration of distributed generations that fluctuate widely (such as Photovoltaic panels, Wind power, Electric Vehicles and Energy Storage Systems), poses a chance to the stability of power technology and distribution structures. However, the primary reason is that the electricity ratio between supply and demand may not be balanced. An extra or scarcity inside the production or intake of electricity can disrupt the system and cause critical problems which include a drop/rise in voltage and, under difficult conditions, power outages. The use of Energy Management Systems can effectively increase the balance between supply and demand and decrease peak load throughout unplanned durations. The energy management system is capable of not only sharing or exchanging energy between the different energy resources available, but also of economically supplying loads in a reliable, safe and effective manner under all conditions necessary for the operation of the power grid. This work outlines the structure, goals, benefits and defies of the energy control system via an in-intensity analysis of the distinctive stakeholders and participants engaged on this system. A detailed essential analysis of the functioning of distinct programs which includes Demand Response, Demand Management and Energy Quality Management implemented inside the electricity management gadget is presented in this review. It also summarizes quantifications of the various strategies of uncertainty. It includes as well a comparative and an important assessment of the primary optimization techniques which are used to obtain the extraordinary goals of energy management structures while at the same time meeting a wide range of requirements.

波动较大的分布式发电（如光伏板、风电、电动汽车和储能系统）的集成，为电力技术和配电结构的稳定性提供了机会。但是，主要原因是供需之间的电力比例可能不平衡。电力生产或摄入的额外或稀缺可能会破坏系统并导致严重问题，包括电压下降/上升以及在困难条件下停电。能源管理系统的使用可以有效地增加供需之间的平衡，并在整个计划外的持续时间内减少高峰负荷。能源管理系统不仅能够在可用的不同能源资源之间共享或交换能源，以及在电网运行所需的所有条件下以可靠、安全和有效的方式经济地为负载供电。这项工作通过对参与该系统的独特利益相关者和参与者的强度分析，概述了能源控制系统的结构、目标、好处和缺陷。本评论对不同程序的功能进行了详细的基本分析，其中包括在电力管理小工具内实施的需求响应、需求管理和能源质量管理。它还总结了各种不确定性策略的量化。