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Optimal Scheduling of Microgrid with Energy Storage System Considering Islanding Constraints

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Artificial Intelligence and Evolutionary Computations in Engineering Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 394))

Abstract

This paper deals with the microgrid optimal scheduling, considering the islanding constraints with energy storage system. The main objective of this paper is to minimize the total operation cost and to optimize the power output of the microgrid by minimizing the losses of the energy storage system. The microgrid optimal scheduling problem is categorized into grid-connected operation as master problem and the islanded operation as subproblem. The scheduling decisions obtained in the grid-connected operation are examined in the islanded operation for feasible islanding. The suitable islanding cuts are generated to revise the scheduling decisions, if sufficient generation is not available. Islanding cuts generated will revise the generating units, energy storage system, and adjustable load schedules. This paper presents the numerical simulations using matlab to demonstrate the effectiveness of the microgrid optimal scheduling.

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Abbreviations

b :

Index for energy storage systems

ch:

Superscript for energy storage system charging mode

d :

Index for loads

dch:

Superscript for energy storage system discharging mode

i :

Index for DERs

s :

Index for scenarios

t :

Index for time

^:

Calculated variables

DA:

Set of adjustable loads

G :

Set of dispatchable units

ES:

Set of energy storage systems

DR:

Ramp down rate

DT:

Minimum down time

ER:

Adjustable load total required energy

F(.):

Generation cost

K d :

Inconvenience penalty factor

MC:

Minimum charging time

MD:

Minimum discharging time

U :

Outage state of the main grid line

MO:

Minimum operating time

UR:

Ramp up rate

UT:

Minimum up time

ss, se:

Specified start and end times of adjustable loads

ρ :

Market price

C :

Energy storage system state of charge

LD:

Load demand

CDU:

Commitment state of the dispatchable unit

P grid :

DER output power

P MG :

Main grid power

C2:

Shut down cost

\({{\text{VL}}_{1} ,{\text{VL}}_{2}}\) :

Slack variables

C1:

Startup cost

T ch :

Number of successive charging hours

T dch :

Number of successive discharging hours

T on :

Number of successive ON hours

T off :

Number of successive OFF hours

ed:

Energy storage system discharging state

ec:

Energy storage system charging state

mp:

Power mismatch

z :

Adjustable load state

αβγ :

Dual variables

\(\Delta _{d}\) :

Deviation in adjustable load operating time interval

τ :

Time variables

\(\Delta V\) :

Differential Cost

V(t, E):

Value Function

E(T):

Energy Function

E *(t):

Energy at t

E *(t − dt):

Relation to a previous energy value

SOC:

State of Charge

P 1(t):

Power at PCC

P total :

Total Power

P ES :

Storage power

J rated :

Storage Capacity

\(\left\{ {\left( {t + {\text{d}}t} \right),E\left( {t + {\text{d}}t} \right)} \right\}\) :

Two arbitrary points

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Correspondence to N. Jayalakshmi .

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Jayalakshmi, N., Ashokvannan, B. (2016). Optimal Scheduling of Microgrid with Energy Storage System Considering Islanding Constraints. In: Dash, S., Bhaskar, M., Panigrahi, B., Das, S. (eds) Artificial Intelligence and Evolutionary Computations in Engineering Systems. Advances in Intelligent Systems and Computing, vol 394. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2656-7_106

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  • DOI: https://doi.org/10.1007/978-81-322-2656-7_106

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2654-3

  • Online ISBN: 978-81-322-2656-7

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