A systematic review of supply and demand side optimal load scheduling in a smart grid environment

被引：52
|
作者：
Lu, Xinhui [1 ]
Zhou, Kaile [1 ,2 ,3 ]
Zhang, Xiaoling [3 ]
Yang, Shanlin [1 ,2 ]
机构：
[1] Hefei Univ Technol, Sch Management, Hefei 230009, Anhui, Peoples R China
[2] Hefei Univ Technol, Key Lab Proc Optimizat & Intelligent Decis Making, Minist Educ, Hefei 230009, Anhui, Peoples R China
[3] City Univ Hong Kong, Dept Publ Policy, Kowloon, Hong Kong, Peoples R China
来源：
JOURNAL OF CLEANER PRODUCTION | 2018年 / 203卷
基金：
中国国家自然科学基金; 中国博士后科学基金;
关键词：
Optimal load scheduling; Unit commitment; Demand response; Joint optimization; DYNAMIC ECONOMIC-DISPATCH; RENEWABLE ENERGY-SOURCES; UNIT COMMITMENT; DISTRIBUTED GENERATION; ELECTRICITY DEMAND; RESIDENTIAL DEMAND; RESPONSE PROGRAMS; GAME-THEORY; HOUSEHOLD APPLIANCES; EMISSION DISPATCH;
D O I：
10.1016/j.jclepro.2018.08.301
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
Optimal load scheduling is an important optimization problem in the power system, which can bring significant economic benefits for all the market participants and environmental benefits for the society. As two main links of power system, supply side and demand side play important roles for the operation management of electricity market. In this regard, we present a systematic review of the optimal load scheduling models and methods from power supply and demand side. First, the optimal load scheduling of supply side is discussed from two aspects, i.e., unit commitment and optimal load dispatch of microgrid. Then, we focus on the optimal load scheduling of demand side under the environment of price-based and incentive-based demand response (DR). In addition, the joint optimal load scheduling of supply and demand side is further discussed. Also, the methods for solving the optimal load scheduling models are summarized, including conventional mathematical optimization, heuristic optimization and data-driven optimization methods. (C) 2018 Elsevier Ltd. All rights reserved.
引用
收藏
页码：757 / 768
页数：12
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