基于荷-储型微网的需求侧管理系统运行优化

HE Shun

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基于荷-储型微网的需求侧管理系统运行优化

更新时间：2025-08-13

- 基于荷-储型微网的需求侧管理系统运行优化
- Automation of Electric Power Systems Vol. 39, Issue 19, Pages: 15-20(2015)
- 作者机构：
  
  风力发电研究中心, 上海交通大学电子信息与电气工程学院,上海市,200240
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2015
- 稿件说明：
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HE Shun. [J]. Automation of electric power systems, 2015, 39(19): 15-20.
DOI：

HE Shun. [J]. Automation of electric power systems, 2015, 39(19): 15-20. DOI：

摘要

以上海某科技园区微网为例

针对能源网节约用电费用和降低负荷峰值等目标

提出一种包含储能和可调控负荷资源的需求侧管理优化方法。该方法通过优化计算

预先制定储能资源和可平移负荷资源24 h的运行状态

实现全天负荷的整体削减。考虑到整个优化过程为强非线性混合整数规划问题

求解困难

在粒子群优化算法基础上

提出经济性启发式规则和分解迭代思路相结合的求解策略。算例表明

文中提出的优化策略不仅降低了能源网整体负荷峰值

而且减少了能源网的用电费用。相对集中式算法

所给出的优化算法计算速度快

且结果与集中式算法接近。

Abstract

A novel demand-side dispatching method is put forward aiming at reducing electric cost and shifting load. According to Shanghai high-tech park’s microgrid

functions of controllable resources in the microgrid operation are analyzed. The demand-side management system uses storage resources and shiftable load resources to shed and optimize whole-day load curve in advance. Considering that the optimization is the nonlinear mixed integer programming

the particle swarm optimization (PSO) algorithm is employed to solve the problems. In addition

heuristic rules and iteration algorithm are combined to speed up the calculation and get better conclusion. Example indicates that by using the optimization of demand-side management system

not only the overall load peak is shifted

but also the electricity costs are reduced by the time of use price policy

the speed is more quickly

and the results are close to the conclusion delivered by centralization method. This work is supported by National Key Technologies R&D Program (No. 2013BAA01B04) and Shanghai Committee of Science and Technology (No. 12dz1200203).

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