基于互补性的间歇性分布式电源在配网中的优化配置  

Optimal Allocation of Intermittent Distributed Generation Considering Complementarity in Distributed Network

作　　者：邓威[1] 李欣然[1] 李培强[1] 李金鑫[1] 孙谦[1] 陈冬林[2] 

机构地区：[1]湖南大学电气与信息工程学院,长沙410082 [2]长沙理工大学"可再生能源电力技术"湖南省重点实验室,长沙410082

出　　处：《电工技术学报》2013年第6期216-225,共10页Transactions of China Electrotechnical Society

基　　金：国家自然科学基金(50977023);湖南省自然科学基金(10JJ2043);"可再生能源电力技术"湖南省重点实验室开放基金(2010KFJJ003)资助项目

摘　　要：针对分布式风电(DWG)、光伏电池(PV)等间歇性分布式电源(DG)的输出功率及系统负荷功率的概率分布在时空范围内的差异性和互补性,通过划分时段并根据每个时段内间歇性DG与系统负荷功率的概率分布,以间歇性DG投资与售电、系统降损、电压质量以及废气减排量等综合效益为目标函数,采用机会约束规划方法建立整个时段内间歇性DG的最优配置模型。选择易于处理离散变量的遗传算法进行最优求解。算例结果表明,该最优配置模型能充分考虑到间歇性DG输出功率与负荷功率的概率分布在时空域内的差异性和互补性,较全面地反应了间歇性DG接入系统后所取得的经济、环境以及电压质量等综合运行效益,验证了所提模型合理性和有效性。With respect to the difference and complementarity of the probability distribution on the time and space, which between system load and output power of intermittent distributed generation（DG）, such as wind generation（WG）, solar photovoltaic（PV）, by dividing time into section and considering the probability distribution of intermittent distributed generation and system load in each time-section, the optimum allocation model is built by using chance-constrained programming method. Taking the optimum comprehensive benefit of investment and the sale of electricity, the system loss reduction, voltage quality and the best overall efficiency of emission reductions as objective function, the discrete variables-friendly genetic algorithm is chosen for optimum solution. The numerical results show that optimum allocation model in this paper has taken sufficient consideration of the difference and complementarity of the probability distribution on the time and space between system load and output power of intermittent DG. And the model also gives a relatively all-round reflection of comprehensive operating benefit of economy, environment and voltage quality after intermittent DG＇s injection into the system, which helps to testify its rationality and validity.

关 键 词：间歇性 分布式电源 优化配置 概率分布 互补性 

分 类 号：TM71[电气工程—电力系统及自动化] TM74