Optimizing Economic Load Dispatch with Renewable Energy Sources via Differential Evolution Immunized Ant Colony Optimization Technique

Rahmat, Nur Ezan; Aziz, Nur Fadilah Ab; Mansor, Mohd Helmi; Musirin, Ismail

doi:10.18517/ijaseit.7.6.2328

Cited by 14 publications

(7 citation statements)

References 17 publications

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“…In this research economic load dispatch is conducted to analyze the total loss and the total cost of the power system before and after the implementation of solar photovoltaic. The study conclude in [11] DEIANT is proposed as the optimization device to calculate the operating cost of power system with the integration of solar PV system. Solar PV integration significantly reduces fuel cost, as the technology will support the operation of existing conventional generators.…”

Section: Literature Reviewmentioning

confidence: 99%

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Solar PV Placement and Sizing for Line Stability Enhancement and Optimal Operating Cost

Salleh*,

Rahmat,

Marzuki

et al. 2019

IJEAT

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Nowadays, many countries have started to implement and installed solar photovoltaic (PV). The initial designs of existing power systems were not integrating with any renewable energy (RE) including PV. So, the small scale PV may not have any effect on these power systems. However, integrating large scale PV might raise several power quality issues including power system stability. Power system stability has become major attention where the main focus is on voltage stability.Voltage stability is related on electrical grid capacity to balance the Total Power of Demand (PD) and Total Power generated by Generator (Pgtt). Instability of the voltage can cause inability of the power system to meet the demand of reactive power. The lack of reactive power will cause instability in the power system.This paper present optimal placement and sizing of PV for stability enhancement and operating cost minimization. In this research, reactive power has gradually increased and Fast Voltage Stability Index (FVSI) is applied to analyze voltage stability. PV is applied to stabilize voltage stability of the power system. Economic Load Dispatch (ELD) is conducted to determine the optimal cost and loss. DEIANT is conducted to optimize the total cost and the total loss after solar PV implementation. Simulation result indicates the effectiveness of the proposed technique for stability enhancement and operating cost minimization.

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Section: Literature Reviewmentioning

confidence: 99%

“…So, ELD is conducted to determine the optimal and sizing solar PV to install in the 26-Bus system. The total operating cost is calculated by using the following quadratic function in (2) are taken from [11].…”

Section: Economic Load Dispatchmentioning

confidence: 99%

Solar PV Placement and Sizing for Line Stability Enhancement and Optimal Operating Cost

Salleh*,

Rahmat,

Marzuki

et al. 2019

IJEAT

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“…Equation (6) shows the relationship between the incremental changes of voltage and reactive power. This proofs that the incremental value of reactive power will affect the value of voltages.…”

Section: Reduced Jacobian Matrix (Jr)mentioning

confidence: 99%

“…If the power system reaches the voltage critical point, the voltage system will enter unstable region and hence, lead to blackout. However, due to the rapid development that occurred all over the world especially in developing countries, has resulted in the increasing of electricity load demand per year [6]. The incremental value of load demand especially reactive power (Q) load demand will make the electrical power system to operate close to the voltage instability limit [7].…”

Section: Introductionmentioning

confidence: 99%

Voltage instability analysis based on modal analysis technique and artificial neural network

Nor¹,

Sulaiman²

2019

IJEECS

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<span>One of the paramount importance in the operation of electrical power system operation order to sustain the equilibrium of the system is the stability of the load buses’ voltages. If the load buses voltages are not stable, this can cause serious problem especially power system blackout. This paper presents the analysis of voltage instability in electric power system by using modal analysis technique. However, one of the challenges of modal analysis is the intencive and complex calculation procedures. In order to overcome that, this paper implements Artificial Neural Network (ANN) to improve the implementation of modal analysis technique. ANN is used to determine the participation factors obtained from the modal analysis technique. The results show that modal analysis technique is able to show which bus is close towards experiencing voltage instability. In addition, the results also show that ANN is able to predict the values of participation factors. A load bus is considered a weak bus if the bus has high tendency towards experiencing voltage instability. IEEE-14 bus test power system has been chosen as the test power system.</span>

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“…The use of AI is introduced to solve the optimum values of a system or condition particularly in the fields of economic dispatch, capacitor placement and sizing, and assessment and improvement of voltage and oscillatory stability. Artificial neural networks [16,17], evolutionary programming (EP) [18][19][20], artificial immune systems (AIS) [21][22][23], and ant colony optimization (ACO) [24][25][26] are AI approaches that are commonly used in power systems. The EP algorithm is modeled on the biological evolution process of solving a complex problem.…”

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confidence: 99%

PSO-Based Oscillatory Stability Assessment by Using the Torque Coefficients for SMIB

et al. 2020

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This study discusses the evaluation of oscillatory stability based on the synchronizing K s and damping K d torque coefficients for a single-machine system connected to an infinite bus (SMIB). Particle swarm optimization (PSO) technique is used to determine K s and K d values and subsequently identify the oscillatory stability conditions in the SMIB. The ability of PSO is compared with those of evolutionary programming (EP) techniques and artificial immune system (AIS). The least square (LS) method is selected as the benchmark for K s and K d values determined by PSO, EP, and AIS. Simulation results show that PSO successfully estimated K s and K d values closest to LS compared with EP and AIS. PSO also uses lower computational time compared with those of the two other techniques. The proposed technique is suitable for solving oscillatory stability problems based on the determination of eigenvalues and minimum damping ratio.Energies 2020, 13, 1231 2 of 15 K d values. Thus, heuristic techniques are introduced to solve this problem. K s and K d values will be optimized from the beginning of the data until constant K s and K d values are obtained. Therefore, only a portion of the data is necessary for estimating K s and K d . Minor data errors do not significantly affect the determination of K s and K d values.In recent years, the use of artificial intelligence (AI) technology has become the preferred option in solving power system problems. The use of AI is introduced to solve the optimum values of a system or condition particularly in the fields of economic dispatch, capacitor placement and sizing, and assessment and improvement of voltage and oscillatory stability. Artificial neural networks [16,17], evolutionary programming (EP) [18][19][20], artificial immune systems (AIS) [21][22][23], and ant colony optimization (ACO) [24][25][26] are AI approaches that are commonly used in power systems. The EP algorithm is modeled on the biological evolution process of solving a complex problem. The main features of EP include the mutation process of the next generation and the selection of increasingly powerful genes. The AIS algorithm uses a concept similar to that of EP. Although both concepts are biologically based on living things, EP focuses on the evolution of living things, whereas AIS adopts the concept of the living immune system. The difference between AIS and EP algorithms is that AIS has an additional process of cloning called the clonal selection algorithm. However, the ACO approach is inspired by the true behavior of ants while searching for food and interacting with fellow ants. In ACO, artificial ants (the search agent) will communicate by using pheromones, which guide the searcher ants to solve the calculation problem by tracking the best route. Meanwhile, the particle swarm optimization (PSO) [27][28][29][30] concept mimics the movements of a herd, such as the behavior of schooling fish and swarming insects. This technique was originally founded based on the population of random particles, in which every p...

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Optimizing Economic Load Dispatch with Renewable Energy Sources via Differential Evolution Immunized Ant Colony Optimization Technique

Cited by 14 publications

References 17 publications

Solar PV Placement and Sizing for Line Stability Enhancement and Optimal Operating Cost

Solar PV Placement and Sizing for Line Stability Enhancement and Optimal Operating Cost

Voltage instability analysis based on modal analysis technique and artificial neural network

PSO-Based Oscillatory Stability Assessment by Using the Torque Coefficients for SMIB

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