Energy stochastic optimization scheduling for micro-grid based on photovoltaic forecasting

LI Peng-mei; ZANG Chuan-zhi; LI He-peng; LI Zhong-wen; YANG Jian-hong

doi:10.13873/J.1000-9787(2015)02-0061-04

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Energy stochastic optimization scheduling for micro-grid based on photovoltaic forecasting

更新时间：2025-09-11

- Energy stochastic optimization scheduling for micro-grid based on photovoltaic forecasting
- Vol. 34, Issue 2, Pages: 61-64(2015)
- 作者机构：
  
  1. 中国科学院沈阳自动化研究所中国科学院网络化控制系统重点实验室
  2. 中国科学院大学
  3. 内蒙古上都发电有限责任公司
- 作者简介：
- 基金信息：
- DOI：10.13873/J.1000-9787(2015)02-0061-04
  CLC： TM615
- Published：2015
- 稿件说明：
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[1]李鹏梅,臧传治,李鹤鹏,李忠文,杨建宏.基于光伏预测的微电网能源随机优化调度[J].传感器与微系统,2015,34(02):61-64.

LI Peng-mei, ZANG Chuan-zhi, LI He-peng, et al. Energy stochastic optimization scheduling for micro-grid based on photovoltaic forecasting[J]. 2015, 34(2): 61-64.
[1]李鹏梅,臧传治,李鹤鹏,李忠文,杨建宏.基于光伏预测的微电网能源随机优化调度[J].传感器与微系统,2015,34(02):61-64. DOI： 10.13873/J.1000-9787(2015)02-0061-04.

LI Peng-mei, ZANG Chuan-zhi, LI He-peng, et al. Energy stochastic optimization scheduling for micro-grid based on photovoltaic forecasting[J]. 2015, 34(2): 61-64. DOI： 10.13873/J.1000-9787(2015)02-0061-04.

摘要

可再生能源的间歇性和负荷的随机性对微电网能源管理系统（EMS）产生了巨大的挑战。在随机环境下的能源优化调度问题在微电网的研究中具有重要意义。以微电网中光伏发电系统的功率预测为基础

将光伏预测误差当做随机变量

建立了一种基于期望模型的能源随机优化调度模型。用Monte Carlo模拟方法生成了光伏发电预测误差的情景集

应用粒子群优化算法来解决随机优化调度模型。通过与确定性模型产生的调度方案相对比

证明了随机优化调度模型更加有效。

Abstract

Intermittent and stochastic loads of renewable energy generate great challenges to micro-grid energy management systems（ EMS）. Issue of energy optimal scheduling in research of micro-grid under stochastic environment has important meaning. An energy stochastic optimization scheduling model based on expectation model is set up by considering uncertainties associated with photovoltaic forecasting. A scenarios of photovoltaic forecasting error is generated Monte Carlo model approach is employed to characterize the random nature of uncertainty according to probability density function. Then

particle swarm optimization algorithm is applied to solve stochastic optimization scheduling model. Through comparing with scheduling scheme gemerated by deterministic model

the effectiveness of proposed stochastic optimization scheduling model is verified.

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references

基于随机规划含风电场的最优经济调度 [D]. 樊嫣然. 广西大学 2013

Scenario-based stochastic operation management of MicroGrid including Wind, Photovoltaic, Micro-Turbine, Fuel Cell and Energy Storage Devices [J] . Sirus Mohammadi,Soodabeh Soleymani,Babak Mozafari. International Journal of Electrical Power and Ene . 2014

An efficient scenario-based stochastic programming framework for multi-objective optimal micro-grid operation [J] . Taher Niknam,Rasoul Azizipanah-Abarghooee,Mohammad Rasoul Narimani. Applied Energy . 2012

Optimal control of a residential microgrid [J] . Phillip Oliver Kriett,Matteo Salani. Energy . 2012 (1)

Stochastic PSO-based heat and power dispatch under environmental constraints incorporating CHP and wind power units [J] . G.S. Piperagkas,A.G. Anastasiadis,N.D. Hatziargyriou. Electric Power Systems Research . 2010 (1)

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