考虑源-荷互动的园区综合能源系统站-网协同优化

黄伟; 柳思岐; 叶波

doi:10.7500/AEPS20190521003

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考虑源-荷互动的园区综合能源系统站-网协同优化

学术研究 | 更新时间：2025-06-16

- 考虑源-荷互动的园区综合能源系统站-网协同优化
- Station-Network Cooperative Optimization of Integrated Energy System for Park Considering Source-Load Interaction
- 电力系统自动化-方正平台 2020年44卷第14期页码：44-53
- 作者机构：
  
  华北电力大学电气与电子工程学院，北京市 102206
- 作者简介：
  
  黄伟(1964—)，男，博士，教授，研究生导师，主要研究方向：综合能源系统运行与控制、主动配电网调度与控制。E-mail：huangwei@ncepu.edu.cn
  柳思岐(1994—)，女，通信作者，硕士研究生，主要研究方向：综合能源系统规划与评价。E-mail：1026395091@qq.com
  叶波（1996—），女，硕士研究生，主要研究方向：综合能源系统调度与运行。E-mail：jinhuayebo@126.com
- 基金信息：
- DOI：10.7500/AEPS20190521003
  中图分类号：
- 收稿日期：2019-05-21，
  
  修回日期：2019-08-14，
  
  网络出版日期：2020-02-07，
  
  纸质出版日期：2020-07-25
- 稿件说明：
移动端阅览
黄伟,柳思岐,叶波.考虑源-荷互动的园区综合能源系统站-网协同优化[J].电力系统自动化,2020,44(14):44-53.

HUANG Wei,LIU Siqi,YE bo.Station-Network Cooperative Optimization of Integrated Energy System for Park Considering Source-Load Interaction[J].Automation of Electric Power Systems,2020,44(14):44-53.
黄伟,柳思岐,叶波.考虑源-荷互动的园区综合能源系统站-网协同优化[J].电力系统自动化,2020,44(14):44-53. DOI： 10.7500/AEPS20190521003.

HUANG Wei,LIU Siqi,YE bo.Station-Network Cooperative Optimization of Integrated Energy System for Park Considering Source-Load Interaction[J].Automation of Electric Power Systems,2020,44(14):44-53. DOI： 10.7500/AEPS20190521003.

摘要

建立了园区综合能源系统站-网协同优化双层模型，上层模型采用改进的

-中位模型，决策变量为能源站位置、容量及网架结构；下层模型考虑电、热负荷的需求响应特性，以电-热-气混合潮流为支撑，将可中断负荷与能源站进行协同调度。采用贪婪-变邻域蛛网算法求解上层模型，高效且可得到全局最优解；利用二阶锥松弛技术，将含有非凸气流约束的非线性规划问题转化为二阶锥规划问题，并采用凸-凹步骤法恢复解的确切性。通过算例表明，考虑源荷互动，可以有效降低系统的运行成本，并且使规划出的能源站容量更加经济合理。

Abstract

A two-level model of station-network cooperative optimization of integrated energy system for park is established. The upper-level model is an improved

-median model

and the decision variables are the location and capacity of energy stations and network layout. Considering the demand response characteristics of electric and heat loads

the lower model coordinates the scheduling of interruptible load and the energy station supported by the power-heat-gas multi-energy flow. The greedy-variable neighborhood-cobweb (GVNC) algorithm is used to solve the upper model

which can improve the computational efficiency and obtain the global optimal solution. Second-order cone relaxation (SOCR) is used to transform the non-linear programming problem which contains the constraint of non-convex gas flow into a second-order cone programming (SOCP) problem which is easy to solve. Convex-concave procedure （CCP） is used to solve the problem of accuracy recovery after relaxation. The example shows that considering the influence of source-load interaction

the operation cost of the system can be effectively reduced

and the planned capacity of the energy station can be more economical and reasonable.

关键词

Keywords

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