A New Perspective for Sizing of Distributed Generation and Energy

نویسندگان

  • Ozan Erdinc
  • Nikolaos G. Paterakis
  • Iliana N. Pappi
  • Anastasios G. Bakirtzis
  • João P. S. Catalão
چکیده

11 As a recently increasing trend among different applications of smart grid vision, smart households as a new implementation area of demand 12 response (DR) strategies have drawn more attention both in research and in engineering practice. On the other hand, optimum sizing of 13 renewable energy based small scale hybrid systems is also a topic that is widely covered by the existing literature. In this study, the sizing of 14 additional distributed generation (DG) and energy storage systems (ESSs) to be applied in smart households, that due to DR activities have a 15 different daily demand profile compared with normal household profiles, is investigated. To the best knowledge of the Authors this is the first 16 attempt in the literature to investigate this issue, also including step-wise decreasing cost functions for DG and ESS, varying load and DG 17 production profiles seasonally, and weekday-weekend horizons for a long-term analysis period. The study is conducted using a mixed-integer 18 linear programming (MILP) framework for home energy management system (HEM) modeling and techno-economical sizing. Also, different 19 sensitivity analyses considering the impacts of variation of economic inputs on the provided model are realized. Nomenclature 23 24 A. Abbreviations 25 benefit-to-cost ratio. 26 discounted payback period. 27 demand response. 28 energy storage system. 29 electric vehicle. 30 photovoltaics. 31 total cost. 32 total net present value. 33 34 B. Indices 35 index of years in total project horizon 36 period of the day index in time units [h or min]. 37 38 C. Parameters 39 , ESS unit overnight capital cost [$/kWh]. 40 2 , PV unit overnight capital cost [$/kW]. 41 , ESS unit annual maintenance cost [$/kWh-y]. 42 , PV unit annual maintenance cost [$/kW-y]. 43 , ESS unit replacement cost [$/kWh]. 44 , PV unit replacement cost [$/kW]. 45 charging efficiency of the ESS. 46 charging efficiency of the EV. 47 charging rate of the ESS [kW per time interval]. 48 charging rate of the EV [kW per time interval]. 49 real discount rate. 50 discharging efficiency of the ESS. 51 discharging efficiency of the EV. 52 discharging rate of the ESS [kW per time interval]. 53 discharging rate of the EV [kW per time interval]. 54 , ESS replacement flag throughout project horizon. 55 number of time intervals in one hour. 56 , maximum multiplication coefficient for ESS sizing considering base size (1 kWh in this study). 57 …

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Using the Modified Shuffled Frog Leaping Algorithm for Optimal Sizing and location of Distributed Generation Resources for Reliability Improvement

Restructuring the recent developments in the power system and problems arising from construction as well as the maintenance of large power plants lead to increase in using the Distributed Generation (DG) resources. DG units due to its specifications, technology and location network connectivity can improve system and load point reliability indices. In this paper, the allocation and sizing of di...

متن کامل

Multi Objective Allocation of Distributed Generations and Capacitor Banks in Simultaneous

This paper has developed a novel multiobjective function for optimal sizing and sitting ofDistributed Generation (DG) units and capacitor banks in simultaneous mode to improve reliabilityand reduce energy losses. The proposed function consists of four objectives: Cost of Energy NotSupplied (CENS), System Average Interruption Duration Index (SAIDI), costs of energy loss andinvestment. A novel st...

متن کامل

Optimal Placement and Sizing of Multiple Renewable Distributed Generation Units Considering Load Variations Via Dragonfly Optimization Algorithm

The progression towards smart grids, integrating renewable energy resources, has increased the integration of distributed generators (DGs) into power distribution networks. However, several economic and technical challenges can result from the unsuitable incorporation of DGs in existing distribution networks. Therefore, optimal placement and sizing of DGs are of paramount importance to improve ...

متن کامل

Optimal placement and sizing of distributed generation considering FACTS devices and load uncertainty using hybrid sine-cosine algorithm and particle swarm optimization (HSCA-PSO)

Using Distributed Generation (DG) in electrical distribution networks brings many advantages and thus, optimal placement and sizing of these units become important. Most of the researches in this field neglect the effect of transmission system on distribution section. These researches also ignore the effect of Flexible Alternating Current Transmission Systems (FACTS). This thesis proposes a new...

متن کامل

Optimal Placement of DGs in Distribution System including Different Load Models for Loss Reduction using Genetic Algorithm

Distributed generation (DG) sources are becoming more prominent in distribution systems due to the incremental demands for electrical energy. Locations and capacities of DG sources have great impacts on the system losses in a distribution network. This paper presents a study aimed for optimally determining the size and location of distributed generation units in distribution systems with differ...

متن کامل

Optimal Placement and Sizing of Distributed Generation Via an Improved Nondominated Sorting Genetic Algorithm II

The use of distributed generation units in distribution networks has attracted the attention of network managers due to its great benefits. In this research, the location and determination of the capacity of distributed generation (DG) units for different purposes has been studied simultaneously. The multi-objective functions in the optimization model are reducing system line losses; reducing v...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2015