.png){kind=icon}
返回
SoS-based multiobjective distribution system expansion planning
.png){kind=icon}
PRE
AI
DOI：10.1016/j.epsr.2016.08.016.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This paper coordinates the reconfiguration of distribution systems with the expansion problem while the potential of demand response (DR) programs and distributed generation (DG) units are modeled in the active distribution expansion planning. The concept of system of systems (SoS) is proposed to model the expansion of DGs that are owned by private investors. SoS is an efficient system consisting of some autonomous and heterogeneous systems with distinct objective functions. According to the concept of SoS, a decision-making paradigm is developed to determine the location, size, and time of DG investment made by a commercial agent, as well as the price of generated power. From the distribution company (DISCO) viewpoint, the proposed model is a multi-objective (MO) optimization problem. The first objective function is the net present value of the total investment and operation costs related to the network. The second objective function is a reliability index, i.e. the expected energy not-supplied (EENS). The uncertainty of load growth in future years is handled by using a scenario-based approach. The introduced problem is solved by using multi-objective particle swarm optimization (MOPSO) algorithm empowered with an innovative three-layer procedure that is provided to better manage the space of the decision variables. The first layer is based on PSO particles while the second and third layers are based on a sensitivity analysis. Finally, a standard 33-bus distribution system is utilized to obtain the simulation results that show the performance and advantages of the proposed method. (C) 2016 Elsevier B.V. All rights reserved.
Keyword:
Demand response
Distributed generation
Empowered multi-objective particle swarm optimization
Reconfiguration
Reliability
System of systems
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
4.2
论文数:
1.2W
被引数:
2.2W
机构
引用论文
Assessing the benefits of residential demand response in a real time distribution energy market在实时配电能源市场中评估住宅需求响应的收益.png)
APPLIED ENERGY
APPLIED ENERGYIF11
PREAI
分享收藏An aggregated model for coordinated planning and reconfiguration of electric distribution networks配电网协调规划与重构的聚合模型ENERGY
ENERGYIF9.4
PREAI
分享收藏Adaptive Multiobjective Particle Swarm Optimization Based on Parallel Cell Coordinate System基于并行单元坐标系的自适应多目标粒子群优化算法
PREAI
分享收藏
查看更多内容