The optimization model for multi-type customers assisting wind power consumptive considering uncertainty and demand response based on robust stochastic theory

被引：45

作者：

Tan, Zhongfu ^{[1
]}

Ju, Liwei ^{[1
]}

Reed, Brent ^{[2
]}

Rao, Rao ^{[1
]}

Peng, Daoxin ^{[1
]}

Li, Huanhuan ^{[1
]}

Pan, Ge ^{[1
]}

机构：

[1] North China Elect Power Univ, Beijing 102206, Peoples R China

[2] E Carolina Univ, Greenville, NC 27858 USA

来源：

ENERGY CONVERSION AND MANAGEMENT | 2015年 / 105卷

基金：

美国国家科学基金会;

关键词：

Demand response; Wind power; Multi-type customers; Uncertainty; Robust stochastic theory; BATTERY ENERGY-STORAGE; ELECTRIC VEHICLES; UNIT COMMITMENT; GENERATION; SYSTEMS; SPEED; ALGORITHM; SIDE;

D O I：

10.1016/j.enconman.2015.08.079

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

In order to relieve the influence of wind power uncertainty on power system operation, demand response and robust stochastic theory are introduced to build a stochastic scheduling optimization model. Firstly, this paper presents a simulation method for wind power considering external environment based on Brownian motion theory. Secondly, price-based demand response and incentive-based demand response are introduced to build demand response model. Thirdly, the paper constructs the demand response revenue functions for electric vehicle customers, business customers, industry customers and residential customers. Furthermore, robust stochastic optimization theory is introduced to build a wind power consumption stochastic optimization model. Finally, simulation analysis is taken in the IEEE 36 nodes 10 units system connected with 650 MW wind farms. The results show the robust stochastic optimization theory is better to overcome wind power uncertainty. Demand response can improve system wind power consumption capability. Besides, price-based demand response could transform customers' load demand distribution, but its load curtailment capacity is not as obvious as incentive-based demand response. Since price-based demand response cannot transfer customer's load demand as the same as incentive-based demand response, the comprehensive optimization effect will reach best when incentive-based demand response and price-based demand response are both introduced. (C) 2015 Elsevier Ltd. All rights reserved.

引用

页码：1070 / 1081

页数：12

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