2017 Smart Grid Conference (SGC)最新文献_第3页

Application of IPSO algorithm in DFIG-based wind turbines for efficient frequency control of multi-area power systems IPSO算法在dfig型风力发电机组中的应用，实现多区域电力系统的高效变频控制

2017 Smart Grid Conference (SGC) Pub Date : 2017-12-01 DOI: 10.1109/SGC.2017.8308835

Arman Oshnoei, Rahmat Khezri, M. Ghaderzadeh, Hasti Parang, Soroush Oshnoei, M. Kheradmandi

引用次数: 8

Multi-objective optimization of reactive power dispatch in power systems via SPMGSO algorithm 基于SPMGSO算法的电力系统无功调度多目标优化

2017 Smart Grid Conference (SGC) Pub Date : 2017-12-01 DOI: 10.1109/SGC.2017.8308868

Mohammadi Mohsen, H. Siahkali

{"title":"Multi-objective optimization of reactive power dispatch in power systems via SPMGSO algorithm","authors":"Mohammadi Mohsen, H. Siahkali","doi":"10.1109/SGC.2017.8308868","DOIUrl":"https://doi.org/10.1109/SGC.2017.8308868","url":null,"abstract":"Nowadays, developments in computer science has made parallel processing feasible. One of the main control problems in power systems is the control of optimal reactive power dispatch. In this problem, we try to optimize specific objective functions using a series of control variables, while a set of constraints are met. This paper deals with multi-objective and simultaneous optimization of reactive power dispatch in power systems through parallel processing. Three objective functions are intended: reduction of active power losses, reduction of voltage deviation, and increasing voltage stability. To solve the optimization problem, Strength Pareto Multi-group Search Optimizer (SPMGSO) algorithm will be used. This algorithm employs parallel processing, and as a result, it saves the required time to solve the problem. This optimization technique also yields a set of non-dominated optimal solutions. The operator of the power system is able to utilize a multi-criteria decision technique based on M matrices to determine the best solution, and to apply the relevant control variables on the power system. A comparison of the simulation results on IEEE 30-bus system with results of NSGAII algorithm attests that SPMGSO algorithm is satisfactory.","PeriodicalId":346749,"journal":{"name":"2017 Smart Grid Conference (SGC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133559216","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Chance constrained power-flow for voltage regulation in distribution systems 配电系统电压调节中的机会约束潮流

2017 Smart Grid Conference (SGC) Pub Date : 2017-12-01 DOI: 10.1109/SGC.2017.8308848

Seyed Naser Hashemipour, J. Aghaei

引用次数: 1

A demand-side management-based model for G&TEP problem considering FSC allocation 考虑FSC分配的G&TEP问题的需求侧管理模型

2017 Smart Grid Conference (SGC) Pub Date : 2017-12-01 DOI: 10.1109/SGC.2017.8308838

M. Zeinaddini-Meymand, M. Rashidinejad, Mohsen Gharachedaghi

引用次数: 4

A novel hybrid harmony search and particle swarm optimization method for solving combined heat and power economic dispatch 求解热电联产经济调度的一种新的混合和谐搜索和粒子群优化方法

2017 Smart Grid Conference (SGC) Pub Date : 2017-12-01 DOI: 10.1109/SGC.2017.8308842

M. Nazari-Heris, Amir Fakhim-Babaei, B. Mohammadi-ivatloo

{"title":"A novel hybrid harmony search and particle swarm optimization method for solving combined heat and power economic dispatch","authors":"M. Nazari-Heris, Amir Fakhim-Babaei, B. Mohammadi-ivatloo","doi":"10.1109/SGC.2017.8308842","DOIUrl":"https://doi.org/10.1109/SGC.2017.8308842","url":null,"abstract":"Combined heat and power (CHP) units are able to generate power and heat, simultaneously. The main objective of CHP economic dispatch (CHPED) problem is to provide optimal heat and power production of cogeneration units with minimum operation cost of supplying heat and power demand. The CHPED problem should be studied considering several operational and electrical equality and inequality constraints consisting of valve-point loading effects of conventional thermal plants, power transmission loss of the system, power and heat capacity production limits of the plants, and heat and power load demand balance. Moreover, heat and power produced by cogeneration plants have bidirectional dependency, which results to complexity of the CHPED problem. In this study, a novel combination of harmony search (HS) algorithm and particle swarm optimization (PSO) method is proposed for the solution of non-convex non-linear CHPED problem. The proposed optimization technique is employed on two large-scale CHP systems for evaluating the performance of the proposed method. The large-scale CHPED problem is solved applying the proposed hybrid method, which demonstrates the effectiveness of the method in terms of operational cost and convergence characteristics.","PeriodicalId":346749,"journal":{"name":"2017 Smart Grid Conference (SGC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115994491","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

Accurate active power-sharing in low-voltage islanded microgrids using a distributed secondary cooperative control 基于分布式二次协同控制的低压孤岛微电网有功功率精确共享

2017 Smart Grid Conference (SGC) Pub Date : 2017-12-01 DOI: 10.1109/SGC.2017.8308843

Morteza Mansouri Takantape, M. Hamzeh

引用次数: 2

Multi-objective optimal scheduling of a micro-grid consisted of renewable energies using multi-objective Ant Lion Optimizer 利用蚁狮多目标优化器对可再生能源微电网进行多目标优化调度

2017 Smart Grid Conference (SGC) Pub Date : 2017-12-01 DOI: 10.1109/SGC.2017.8308867

Kamran Hosseini, Samad Araghi, M. Ahmadian, Vli Asadian

{"title":"Multi-objective optimal scheduling of a micro-grid consisted of renewable energies using multi-objective Ant Lion Optimizer","authors":"Kamran Hosseini, Samad Araghi, M. Ahmadian, Vli Asadian","doi":"10.1109/SGC.2017.8308867","DOIUrl":"https://doi.org/10.1109/SGC.2017.8308867","url":null,"abstract":"This paper proposes a sustainable simulation method for managing energy resources from the point of view of virtual power players (VPP) operating in a smart grid. The proposed energy resource management schedule in a micro-grid, including fuel cells, micro turbines, solar panels, wind turbines, and batteries, intelligently meets the needs of the grid. Apart from using the aforementioned resources, VPP can also purchase additional energy from upper utility to respond to the load. In addition, the proposed method plans suitably a micro-grid using a multi-objective framework, which minimizes the total operation cost and emission caused by the generating units simultaneously. To achieve this goal, the multi-objective Ant Lion Optimizer (MOALO) has been used to solve the multi-objective optimization problem and to produce Pareto optimal solutions. The fuzzy technique has been used for the decision making process. Finally, to demonstrate the effectiveness of the proposed method, the results have been compared with multi-objective Particle Swarm Optimization (MOPSO) and Non-dominated Sorting Genetic Algorithm-II (NSGA-II), which shows that the use of the MOALO method in the presence of fuzzy technique attain the superior solutions on the operation cost and the emission of pollutant.","PeriodicalId":346749,"journal":{"name":"2017 Smart Grid Conference (SGC)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114452571","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11

Energy management in smart home including PV panel, battery, electric heater with integration of plug-in electric vehicle 智能家居的能源管理，包括光伏面板、电池、电加热器和插电式电动车的集成

2017 Smart Grid Conference (SGC) Pub Date : 2017-12-01 DOI: 10.1109/SGC.2017.8308855

A. Lorestani, Seyed Saeed Aghaee, G. Gharehpetian, M. M. Ardehali

{"title":"Energy management in smart home including PV panel, battery, electric heater with integration of plug-in electric vehicle","authors":"A. Lorestani, Seyed Saeed Aghaee, G. Gharehpetian, M. M. Ardehali","doi":"10.1109/SGC.2017.8308855","DOIUrl":"https://doi.org/10.1109/SGC.2017.8308855","url":null,"abstract":"The objective of this study is to optimal scheduling of resources and loads in a smart home (SH) including photovoltaic (PV) panel, battery, plug-in electric vehicle (PEV) and electric heater (EH) along with electrical and thermal loads. Advantages of SH with the proposed structure is that all electrical and thermal loads can be met by electric energy and as a result, it decreases additional investment in natural gas infrastructure, balances electricity and natural gas consumption during seasons, reduces air pollution in home environment, and diminishes SH bills. To this end, an energy management system (EMS) is designed using shuffled frog leaping (SFLA) algorithm for load and resource scheduling such that SH daily energy consumption cost is minimum. Performance of the SH in different scenarios are studied, a feasibility study for the SH is conducted and the results are discussed. Simulation results show that SFLA algorithm has higher capability compared to other algorithms in solving optimal energy management problem in the SH, and it has been shown that PEV which will penetrate significantly in future, has a considerable effect on SH costs and should be considered in residential planning studies.","PeriodicalId":346749,"journal":{"name":"2017 Smart Grid Conference (SGC)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131793130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11

Optimal charging schedule of electric vehicles at battery swapping stations in a smart distribution network 智能配电网电池交换站电动汽车最优充电计划

2017 Smart Grid Conference (SGC) Pub Date : 2017-12-01 DOI: 10.1109/SGC.2017.8308875

Saeed Amiri, S. Jadid

引用次数: 7

Optimal bidding strategy for a smart microgrid in day-ahead electricity market with demand response programs considering uncertainties 考虑不确定性需求响应方案的日前电力市场智能微电网最优竞价策略

2017 Smart Grid Conference (SGC) Pub Date : 2017-12-01 DOI: 10.1109/SGC.2017.8308874

M. Salehpour, S. Tafreshi

引用次数: 4