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Power Source Planning of Wind-PV-Biogas Renewable Energy Distributed Generation System

第36卷 第9期 2012年9月 电 网 技 术 Power System Technology Vol. 36 No. 9 Sep. 2012

文章编号:1000-3673(2012)09-0009-06 中图分类号:TM 91 文献标志码:A 学科代码:470·4054

风–光–沼可再生能源分布式发电系统电源规划

马艺玮,杨苹,郭红霞,吴捷

(华南理工大学 电力学院,广东省 广州市 510640)

Power Source Planning of Wind-PV-Biogas Renewable Energy

Distributed Generation System

MA Yiwei, YANG Ping, GUO Hongxia, WU Jie

(School of Electric Power, South China University of Technology, Guangzhou 510640, Guangdong Province, China)

ABSTRACT: To effectively improve the reliability and economy of distributed generation system (DGS) composed of renewable energy resources such as wind energy, solar energy and biogas energy, firstly the features of generation systems based on wind energy, solar energy and biogas energy respectively as well as the structural feature of generation system mixed with wind, solar and biogas energy resources were researched and analyzed, on this basis mathematical models of optimized objective functions of DGS composed of renewable energy resources and their constraint conditions were built. Secondly, due to the adoption of the selection operator, the improved adaptive crossover operator and the mutation operator in the elitist strategy of the improved adaptive genetic algorithm (AGA), to achieve better global search ability and stronger robustness, the improved AGA was utilized to optimize the expansion generation planning for distributed DGS. Finally, taking a load center with load amount of 300kW in Guangdong region, China as experimental platform, the simulation for the optimization and solution of a generation expansion planning of a distributed DGS composed of wind farm, PV generation and biogas generation were performed to determine the optimum configuration of power resources. The effectiveness and effectiveness of the proposed method were verified by simulation results that could be available for reference to the expansion generation planning for DGS composed of other types of renewable energy resources. KEY WORDS: renewable energy resources; distributed generation system (DGS); expansion generation planning; adaptive genetic algorithm (AGA)

摘要:为了有效提高风–光–沼混合可再生能源分布式发电系统的可靠性和经济性,首先研究分析了风、光、沼各发电电

基金项目:国家自然科学基金重点项目(61104181);广东省绿色能源技术重点实验室资助项目(2008A060301002)。

Key Project Supported by National Natural Science Foundation ofChina (61104181); Guangdong Key Laboratory of Clean EnergyTechnology (2008A060301002)。

源特点以及该分布式发电系统结构特征,并以此为基础建立了其系统电源规划的优化目标函数和约束条件函数等数学模型。由于改进的自适应遗传算法使用最优保存策略进化模型的选择算子、改进的自适应交叉算子和变异算子,来获得较优的全局搜索能力和较强的鲁棒性,所以采用该遗传算法对此分布式发电系统电源规划进行优化运算处理。最后选取某负荷中心的300 kW负荷总量为对象进行风–光–沼混合可再生能源分布式发电系统的电源规划模拟优化求解,算例结果验证了该方法的可行性和有效性,而且对其它类型可再生能源分布式发电系统电源规划有一定的指导意义。 关键词:可再生能源;分布式发电系统;电源规划;自适应遗传算法

0 引言

面临日益紧迫的能源危机以及日益增长的电力需求等,以降低能耗、改善能源供应结构、提高电力系统的可靠性和灵活性等为目标,发展可再生能源分布式发电系统成为一种可行和有效的途径和方案。因此,根据自然资源条件,合理选择开发利用多种可再生能源,在负荷中心就地安装建设基于多种可再生能源联合发电的分布式发供能系统,将就地电源和负荷结合起来构成微网,进行协调控制,实现独立或并网运行,是今后可再生能源发电高效利用的重要方向。

可再生能源分布式电源规划是分布式发电系统开发研究的关键基础工作,它要解决的核心问题是寻求最佳的电源规划方案,基于系统中的各种约束条件和各可再生能源的特性,以满足电力负荷需求为目的,使分布式发电系统的建设成本最小、供电可靠性最高。合理的电源规划可获得很大的经济和社会效 益,相反,电源规划失误会带来不可弥补的损失[1-5]。

电源规划的方案具有高维数、非线性和随机性的特点。由于电源规划问题相当复杂,针对规划问

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