Two-stage multi-objective OPF for AC/DC grids with VSC-HVDC: Incorporating decisions analysis into optimization process

被引:92
作者
Li, Yang [1 ,2 ]
Li, Yahui [1 ]
Li, Guoqing [1 ]
Zhao, Dongbo [2 ]
Chen, Chen [2 ]
机构
[1] Northeast Elect Power Univ NEEPU, Sch Elect Engn, Jilin 132012, Jilin, Peoples R China
[2] CEEESA, Argonne Natl Lab, Argonne, IL 60439 USA
基金
中国国家自然科学基金;
关键词
AC/DC grids; VSC-HVDC; Multi-objective optimal power flow; Particle swarm optimization; Decision analysis; Grey relation projection; OPTIMAL POWER-FLOW; PARTICLE SWARM OPTIMIZATION; RELATIONAL PROJECTION METHOD; WIND POWER; ENERGY-STORAGE; INTEGRATION; ARCHITECTURE; ALGORITHMS; NETWORKS; SYSTEM;
D O I
10.1016/j.energy.2018.01.036
中图分类号
O414.1 [热力学];
学科分类号
摘要
A two-stage solution approach for solving the problem of multi-objective optimal power flow (MOPF) is proposed for hybrid AC/DC grids with VSC-HVDC. First, a MOPF model for hybrid AC/DC grids is built to coordinate the economy, voltage deviation and environmental benefits. Then, a two-stage solution approach, incorporating decision analysis into optimization process, is presented to solve the model. The first stage of the approach is consisted of a multi-objective particle swarm optimization algorithm with a hybrid coding scheme employed to find multiple Pareto-optimal solutions. The second stage will have the obtained solutions clustered into different groups using fuzzy c-means (FCM) clustering, and then the 'best' compromise solutions are obtained by calculating the priority memberships of the solutions belonging to the same groups via grey relation projection (GRP) method. The novelty of this approach lies primarily in incorporating the FCM-GRP based decisions analysis technique into MOPF studies, thereby assisting decision makers to automatically identify the 'best' operation points. The effectiveness of the proposed approach is verified based on the test results of the IEEE 14- and 300- bus systems. (C)2018 Elsevier Ltd. All rights reserved.
引用
收藏
页码:286 / 296
页数:11
相关论文
共 32 条
[21]   Multi-Objective Energy Consumption Scheduling in Smart Grid Based on Tchebycheff Decomposition [J].
Lu, Hui ;
Zhang, Mengmeng ;
Fei, Zongming ;
Mao, Kefei .
IEEE TRANSACTIONS ON SMART GRID, 2015, 6 (06) :2869-2883
[22]   Power quality recognition in distribution system with solar energy penetration using S-transform and Fuzzy C-means clustering [J].
Mahela, Om Prakash ;
Shaik, Abdul Gafoor .
RENEWABLE ENERGY, 2017, 106 :37-51
[23]   Optimal design of permanent magnet flux switching generator for wind applications via artificial neural network and multi-objective particle swarm optimization hybrid approach [J].
Meo, Santolo ;
Zohoori, Alireza ;
Vahedi, Abolfazl .
ENERGY CONVERSION AND MANAGEMENT, 2016, 110 :230-239
[24]   Operation and Power Flow Control of Multi-Terminal DC Networks for Grid Integration of Offshore Wind Farms Using Genetic Algorithms [J].
Pinto, Rodrigo Teixeira ;
Rodrigues, Silvio Fragoso ;
Wiggelinkhuizen, Edwin ;
Scherrer, Ricardo ;
Bauer, Pavol ;
Pierik, Jan .
ENERGIES, 2013, 6 (01) :1-26
[25]   An unequivocal normalization-based paradigm to solve dynamic economic and emission active-reactive OPF (optimal power flow) [J].
Pourakbari-Kasmaei, Mandi ;
Rider, Marcos J. ;
Mantovani, Jose R. S. .
ENERGY, 2014, 73 :554-566
[26]   Information Gap Decision Theory Based OPF With HVDC Connected Wind Farms [J].
Rabiee, Abbas ;
Soroudi, Alireza ;
Keane, Andrew .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2015, 30 (06) :3396-3406
[27]   Solving multi-objective optimal power flow problem via forced initialised differential evolution algorithm [J].
Shaheen, Abdullah M. ;
El-Sehiemy, Ragab A. ;
Farrag, Sobhy M. .
IET GENERATION TRANSMISSION & DISTRIBUTION, 2016, 10 (07) :1634-1647
[28]   Probabilistic multi-objective optimal power flow considering correlated wind power and load uncertainties [J].
Shargh, S. ;
Ghazani, B. Khorshid ;
Mohammadi-Ivatloo, B. ;
Seyedi, H. ;
Abapour, M. .
RENEWABLE ENERGY, 2016, 94 :10-21
[29]   Smart Targeted Planning of VSC-Based Embedded HVDC via Line Shadow Price Weighting [J].
Urquidez, Omar A. ;
Xie, Le .
IEEE TRANSACTIONS ON SMART GRID, 2015, 6 (01) :431-440
[30]   Key technologies of VSC-HVDC and its application on offshore wind farm in China [J].
Wu, Jie ;
Wang, Zhi-Xin ;
Xu, Lie ;
Wang, Guo-Qiang .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2014, 36 :247-255