摘要
分布式电源接入配电网后,配电网调控能力不足导致新能源消纳水平低、用户支出经济性指标差,提出一种新能源就地消纳和用户支出主从博弈的配电网智能软开关选址策略的嵌套模型和方法。外层建立以新能源渗透率最大、电能质量指标最佳且计及传统调控手段的模型结构;内层考虑新能源用户消纳的分时电价、储能装置充放电成本和日运行费用因素,构建能满足用户支出成本最低的需求响应模型。调用CPLEX求解器求解混合整数非线性规划模型,用户侧与配电网侧模型通过反复博弈优化决策变量,主从博弈内层优化采用改进粒子群优化算法加快收敛速度。以改进的IEEE 33节点系统为算例进行分析,验证了所提智能软开关选址策略的有效性。
After a large number of distributed generations are connected to the distribution network,the insufficient regulation and control capacity of the distribution network leads to low level of new energy accommodation and poor economic indicators of user expenditure,a nested model and method for the soft open point(SOP)siting scheme of the distribution network with new energy on-site accommodation and user expenditure Stackelberg game is proposed.A model structure with the maximum penetration rate of new energy and the best power quality index is established in the outer layer considering traditional regulation methods.Considering the time-of-use electricity price of accommodation of new energy users,energy storage device charging and discharging cost and daily operating cost,a demand response model that can meet the lowest user expenditure cost is constructed in the inner layer.The CPLEX solver is called to solve the mixed integer nonlinear programming model,and the user-side and the distribution network-side models optimize the decision variables through iterative games,and the Stackelberg game inner layer optimization uses an improved particle swarm optimization algorithm to speed up the convergence.The improved IEEE 33-bus system is used as an arithmetic example for analysis,which verifies the effectiveness of the proposed SOP siting scheme.
作者
陈骁龙
孙嘉
张俊林
倪良华
吕干云
CHEN Xiaolong;SUN Jia;ZHANG Junlin;NI Lianghua;LÜGanyun(School of Electric Power Engineering,Nanjing Institute of Technology,Nanjing 211167,China)
出处
《电力自动化设备》
EI
CSCD
北大核心
2024年第2期57-63,共7页
Electric Power Automation Equipment
基金
江苏省高等学校自然科学研究项目(19KJA510012)
江苏省研究生科研与实践创新计划项目(SJCX22_1085)。
关键词
主从博弈
智能软开关选址策略
新能源渗透率
需求响应
新能源消纳
Stackelberg game
SOP siting scheme
new energy permeability rate
demand response
new energy accommodation