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p-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。
A two-level model of station-network cooperative optimization of integrated energy system for park is established.The upper-level model is an improved p-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.
作者
黄伟
柳思岐
叶波
HUANG Wei;LIU Siqi;YE bo(College of Electrical and Electronic Engineering,North China Electric Power University,Beijing 102206,China)
出处
《电力系统自动化》
EI
CSCD
北大核心
2020年第14期44-53,共10页
Automation of Electric Power Systems
关键词
源-荷互动
能源站
需求响应
混合潮流
能距
管网布局
贪婪-变邻域算法
source-load interaction
energy station
demand response
multi-energy flow
energy distance
pipeline network layout
greedy-variable neighborhood-cobweb(GVNC)algorithm
