| 引用本文: | 苏适,周立栋,陆海,等.基于改进混沌粒子群算法的多源独立微网多目标优化方法[J].电力系统保护与控制,2017,45(23):34-41.[点击复制] |
| SU Shi,ZHOU Lidong,LU Hai,et al.Multi-objective optimization method of multi-source independent microgrid based on modified CPSO[J].Power System Protection and Control,2017,45(23):34-41[点击复制] |
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| 摘要: |
| 针对目前独立微网优化运行中微源类型与场景设计较为简单、未充分考虑可控负荷作用等问题，以可控负荷作为网内功率平衡的辅助手段，研究多源独立微网的调度优化问题。建立了使发电成本、切负荷补偿成本及微网环境效益最优的多目标优化模型。根据工作日、周末和晴、阴雨天组合设计了四种典型场景，在满足功率平衡等约束的前提下实现独立微网的经济调度。针对优化变量多、场景复杂的微网优化模型，提出了改进的混沌粒子群算法(Chaos Particle Swarm Optimization, CPSO)用于优化问题求解，验证了模型和算法对不同场景微网优化问题的有效性。 |
| 关键词: 独立微网 多目标优化 混沌粒子群 经济调度 多场景 |
| DOI：10.7667/PSPC161935 |
| 投稿时间：2016-11-22修订日期：2017-02-11 |
| 基金项目:云南省新能源重大科技专项(2013ZB005);云南电网有限责任公司科技项目(YNKJQQ00000280);新能源电力系统国家重点实验室开放课题(LAPS16007,LAPS16015) |
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| Multi-objective optimization method of multi-source independent microgrid based on modified CPSO |
| SU Shi,ZHOU Lidong,LU Hai,CHEN Qifang,YAN Yuting,N. A. Engerer,WANG Fei |
| (Electric Power Research Institute of Yunnan Power Grid Co., Ltd., Kunming 650217, China;State Key Laboratory of Alternate Electrical Power System with Renewable Energy Source North China Electric Power University, Baoding 071003, China;Fenner School of Environment and Society, The Australian National University, Canberra 2601, Australia;State Key Laboratory of Alternate Electrical Power System with Renewable Energy Source North China Electric Power University, Baoding 071003, China;University of Illinois at Urbana-Champaign, Urbana, IL 61802, USA) |
| Abstract: |
| Studies for stand-alone microgrid optimization exist the problems of simple micro-source type, few design scenarios and neglect to controllable load. This paper presents a multi-objective optimization model including power generation cost, load cut compensatory and environmental benefit under the condition where controllable load is treated as power balancing means. Four typical scenarios are designed according to the working day, weekend and sunny, cloudy and rainy days. With the difficulty of multi-variables and complex scenarios, a modified CPSO algorithm is proposed to realize economic dispatch of stand-alone microgrid under the constraints such as power balance. The results in numerical example verify the validity of the presented model and algorithm to multi-scenario microgrid optimization problem. This work is supported by the Major Key Science and Technology Project in Renewable Energy Area of Yunnan Province (No. 2013ZB005), the Science and Technology Project of Yunnan Power Grid Co., Ltd (No. YNKJQQ00000280), and the State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (No. LAPS16007 and No. LAPS16015). |
| Key words: stand-alone microgrid multi-objective optimization chaos particle swarm optimization economic dispatch multi-scenario |
