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Articles

Reliability assessment for economic dispatch problem in the energy hub concept

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Pages 414-428 | Published online: 27 Dec 2018
 

ABSTRACT

The main objectives in the management of energy systems are to reduce the operation costs and simultaneously increase the reliability indices. The achievement of these aims is among the key challenges that network operators encounter. To overcome this challenge, the current study presents a model in which the reliability criterion is calculated in addition to the well-established technical constraints for an energy hub. In this strategy, reliability evaluations are added to the classical model as new constraints. In other words, the energy hubs can be more appropriately and realistically operated by imposing these limitations. Moreover, in addition to the costs of different energy carriers, the objective function also includes the costs of “energy not supplied” (ENS) for different loads. This approach demonstrates a mixed-integer nonlinear programming (MINLP) technique implemented using the LINDOGlobal solver in GAMS. To examine the efficiency of the proposed method, modeling is performed on a sample energy hub, and the results assessed.

Nomenclature

i=

Index for hub’s input energy carrier

j=

Index for hub’s output energy carrier

m=

Index for energy convertor type

s=

Index for energy storage type

n=

Index for number of installed elements

t=

Index for time block

el=

Index for total types of elements (energy convertor and storage)

Ni=

Number of hub’s input energy carrier

Nm=

Number of energy converters types

Nn=

Number of installed elements

Ns=

Number of installed energy storage

Nel=

Number of total types of elements (energy convertor and storage)

Nt=

Number of time blocks

Pi=

ith input energy

Lj=

jth output load

Cij=

Coupling matrix array

P=

Input matrix

L=

Output matrix

C=

Coupling matrix

vi,m=

Factor between ith input energy and mth converter

ηTrans=

Transformer efficiency

ηCHPe=

CHP electrical efficiency

ηCHPth=

CHP thermal efficiency

ηFr=

Furnace efficiency

ηExe=

Heat exchanger efficiency

TC=

Total energy hub operation cost

π_EC=

Price of energy carrier

Pin_Tot=

Total input of energy hub

Pout_Tot=

Total output of energy hub

Pin=

Input power of convertor

Pout=

Output power of convertor

Sin=

Input power of storage

Sout=

Output power of storage

θdis=

Discharging rate of storage

θch=

Charging rate of storage

SE=

Stored energy in energy storage

η=

Component efficiency

Pinmin=

Minimum input power of energy converter

Pinmax=

Maximum input power of energy converter

Sinmin=

Minimum input power of energy storage

Sinmax=

Maximum input power of energy storage

Soutmin=

Minimum output power of energy storage

Soutmax=

Maximum output power of energy storage

SEmin=

Minimum stored energy in energy storage

SEmax=

Maximum stored energy in energy storage

I=

Installation value (binary: 1=installed, 0=not installed)

EENS=

Expected energy not supplied

ENS=

Energy not supplied

EENSmax=

Maximum value of EENS

pr=

Probability of contingency (one element has failed and other elements are in use)

Res=

Amount of reserves for each element

Restot=

Total reserves in energy hub

PSout=

Output power of element (for Convertor =Pout; for Storage = Sout)

PS_outmax=

Maximum capability output power of element (for Convertor =η×Pinmax, for Storage =η×Sinmax)

TH=

Time horizon

VOLL=

Value of loss load

ED=

Economic dispatch

TR=

Transformer

CHP=

Combined heat and power

CCHP=

Combined cooling, heat and power

HConv=

Heat converter

Fur=

Furnace

EStorage=

Electric storage

HStorage=

Heat storage

CStorage=

Cooling storage

fx,d(y),h(y)=

General statement of functions in MINLP

x,y=

General statement of variables in MINLP

L,U=

Lower and Upper bound in MINLP

Conflict of interest

The authors have declared no conflict of interest.

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