电力市场环境下的微电网能量管理系统及风险管理..docx

学号：1512302016姓名：罗任志专业：电力系统及其自动化日期：2016年7月AMicrogrid Energy Management System andRisk Management under an Electricity MarketEnvironment电力市场环境下的微电网能量管理系统及风险管理Jingshuang Shen, Chuanwen Jiang, Yangyang Liu and Xu WangAbstract—This paper presents a novel energy-managementmethod for a microgrid that includes renewable energy, dieselgenerators, battery storage, and various loads. We assume thatthe microgrid takes part in a pool market and responds actively tothe electricity price to maximize its profit by scheduling itscontrollable resources. To address various uncertainties, arisk-constrained scenario-based stochastic programmingframework is proposed using the conditional value at risk method.The designed model is solved by two levels of stochasticoptimization methods. One level of optimization is to submitoptimal hourly bids to the day-ahead market under the forecastdata. The other level of optimization is to determine the optimalscheduling using the scenario-based stochastic data of theuncertain resources. The proposed energy management system isnot only beneficial for the microgrid and customers but alsoapplies the microgrid aggregator and virtual power plant (VPP).The results are shown to prove the validity of the proposedframework.摘要--本文为微电网提出了一种新的能源管理方法，微电网中包括可再生能源，柴油发电机，电池存储和各种负载。我们假设，微电网为合伙经营市场中的一部分，并通过调度其可控的资源积极响应的电力价格，以最大限度地提高利润。为了解决各种不确定性，提出了一种基于场景的风险约束的随机规划的框架，用于条件值的风险评估。设计的模型是由两个层次的随机优化方法组成。优化的一个方面是提交在预测数据下日前市场每小时最佳出价。优化另一个方面是基于不确定资源的场景的随机数据确定最优调度。本文所提出的能量管理系统不仅有利于微网和客户也适用于微电网的聚合和虚拟电厂（VPP）。所示结果证明了提出的框架的有效性。Keywords—Controllable load; Smart grid; Energymanagement; Electricity market; Microgrid; Renewable energy;Risk management; Stochastic optimization关键词：可控负荷；智能电网；能源管理；电力市场；微电网；可再生能源；风险管理；随机优化I. INTRODUCTIONI. 简介In recent years, the microgrid has been growing dramaticallydue to its potential benefits to provide reliable, secure,efficient, environmentally friendly, and sustainableelectricity from renewable energy sources[1][2]. A microgridconsists of