基于Godlike算法的海岛型分布式电源规划模型

doi:10.3969/j.issn.1000－7229.2016.09.018

电力建设 ›› 2016, Vol. 37 ›› Issue (9): 132-.doi: 10.3969/j.issn.1000－7229.2016.09.018

基于Godlike算法的海岛型分布式电源规划模型

牛东晓1，马天男1，黄雅莉1，刘冰旖2

1．华北电力大学经济与管理学院，北京市102206； 2．国网浙江省电力公司杭州供电公司，杭州市310009

出版日期:2016-09-01
作者简介:牛东晓（1962），男，博士，教授，博士生导师，本文涉及课题负责人，研究方向为项目预测与决策理论及其应用、项目综合评价方法及其应用等；马天男（1992），男，博士，研究方向为输电线路覆冰预测、电力负荷预测、技术经济评价及预测；黄雅莉（1991），女，硕士研究生，本文通信作者，研究方向为输电线路覆冰预测、输配电网评估方法及应用；刘冰旖（1991），女，硕士，研究方向为技术经济评价及预测、技经测算分析及评估。
基金资助:
国家自然科学基金项目（71471059）

Sea-Island Distributed Generation Planning Model Based on Godlike Algorithm

NIU Dongxiao1, MA Tiannan1, HUANG Yali1, LIU Bingyi2

1.College of Economics and Management, North China Electric Power University, Beijing 102206, China; 2.Hangzhou Power Supply Company, State Grid Zhejiang Electric Power Company, Hangzhou 310009, China

Online:2016-09-01
Supported by:
Project supported by National Natural Science Foundation of China（71471059）

摘要/Abstract

摘要： 为实现海岛地区低污染、低成本电力的有效供给，提高可再生能源的利用消纳能力，针对海岛型分布式电源规划特点，建立了综合考虑投资运行费用、系统损耗和系统稳定性这3个方面的多目标分布式电源目标规划模型；在引入 Pareto最优解概念的基础上，提出了采用Godlike算法对上述多目标、多约束、非线性优化问题进行求解。将所建立的模型及其求解算法应用于我国南方某岛分布式发电系统电源规划实际问题中，仿真结果表明Godlike算法计算结果要远远优于单体遗传算法、模拟退火算法、差分进化算法和粒子群优化算法，其能够有效避免单个算法在求解分布式电源规划问题时容易陷入局部最优、算法过早成熟等问题，保证了算法可有效得到全局Pareto最优解。

关键词: 分布式电源规划, Godlike算法, Pareto最优解, 全局最优

Abstract: To achieve the effectiveness of power supply with low pollution and low cost in island area and improve the absorptive and utilization capacity of renewable energy, this paper establishes the multi-objective distributed power planning model, which includes mainly three aspects of the cost of investment, system loss and system stabilitybased on the characteristics of island distributed generation planning. Based on the concept ofPareto optimal solution, we adopt Godlike algorithm to solve the above multi-objective, multi-constrained and nonlinear optimization problem. Finally, we apply the proposed model and its solution algorithm to the practical planning problem of an island distributed generation system in South China. The simulation results showthat the Godlike calculation result is far superior to the single genetic algorithm, simulated annealing algorithm, differential evolution algorithm and particle swarm optimization algorithm, which can effectively avoid the problem of falling into local optimum and premature maturation of single algorithm in solving distributed generation planning problem and ensure the global Pareto optimal solutions.

Key words: distributed generation planning, Godlike algorithm, Pareto optimal solution, global optimum

中图分类号:

TM 715

牛东晓，马天男，黄雅莉，刘冰旖. 基于Godlike算法的海岛型分布式电源规划模型[J]. 电力建设, 2016, 37(9): 132-.

NIU Dongxiao, MA Tiannan, HUANG Yali, LIU Bingyi. Sea-Island Distributed Generation Planning Model Based on Godlike Algorithm[J]. Electric Power Construction, 2016, 37(9): 132-.

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基于Godlike算法的海岛型分布式电源规划模型

Sea-Island Distributed Generation Planning Model Based on Godlike Algorithm

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