摘要
为了在配电网中更好地应用分布式电源,利用配电网负荷及风机、光伏电源的时序特性对分布式电源优化配置;计算节点风机容量系数并对风力发电机进行了选址,利用光照强度曲线和商业负荷曲线的相关性及与风机的互补性对光伏电源进行了选址;建立了分布式电源的低碳效益费用模型,并利用全年时刻数据建立288个时段风、光、负荷的概率分布,以电网运营商利润最大为目标函数且考虑约束条件,对分布式电源容量进行优化,利用精英策略遗传算法进行求解验证。仿真结果表明,分布式电源合理并入配电网有较好的经济、低碳效益,并能减少网络损耗和提高电压质量。
To make the distributed generator（DG）better applied to the distribution network, an optimal allocation of DGs based on the timing characteristics of load, wind turbine generator（WTG）and photovohaic （PV） in the distribution network is conducted; WG site is obtained by computing node capacity factor, and PV site is obtained by utilizing the correlation of light intensity curve with commercial load curve, as well as the complementarity with WTG. The carbon benefits model of DGs is established, and the probability density functions of 288 hours for wind/PV/load is created us- ing the whole year data. The objective is to maximize the benefits of grid operators with constraints. The capacity of DG is optimized, and the resultis verified by genetic algorithm of elitist strategy. The simulation results show that a reason- able incorporation of DG into the distribution networks has economic and carbon benefits, and it also can reduce net- work losses and improve voltage quality.
出处
《电力系统及其自动化学报》
CSCD
北大核心
2016年第8期61-68,共8页
Proceedings of the CSU-EPSA
关键词
时序特性
低碳效益
分布式电源
约束规划
选址定容
time-sequence characteristics
carbon benefits
distributed generator （DG）
constrained programming
site selection and capacity determination
