Optimal dispatch of combined heat and power generating units with prohibited operating zones using improved heap-based optimizer Abhilipsa Sahoo, Preeti Ranjan Sahu, Prakash Kumar Hota, Md. Minarul Islam, Taha Selim Ustun Iet Generation Transmission and Distribution, 2024 In the present market scenario, energy cost has been increased and also restrictions have been faced in fossil fuels energy sources. This leads to evolvement of combined heat and power generating units having higher efficiency as compared to the existing systems. The optimal dispatch of CGUs involves a number of intricate constraints, making it a practical optimization problem. So, an improved heap‐based optimizer algorithm has been implemented in this work for solving optimal dispatch problem by accomplishing a proper balance between initial and final stages of global search and convergence, respectively. This problem provides optimal scheduling of heat and power generating units and seeks to minimize the overall fuel cost supply of combined units considering their operational limits. Here, three test systems, that is, 7‐units, 24‐units and 48 units system have been taken into consideration to verify the performance of proposed IHBO algorithm. The impact of prohibited zones on power dispatch has been analysed for both the system in an electricity market. In addition, the valve‐point loading effect, mutual dependency of produced heat and power of combined units and also transmission power losses in transmission lines have been studied. Comparisons among different methods have been made based on their respective solutions obtained and from that it manifests the robustness and superior performance of the proposed technique. Verification studies showed that impact of prohibited zones on generating units, increases the production cost with respect to without prohibited zones. However the proposed technique yields least production cost among other techniques.
Optimal Congestion Management with FACTS Devices for Optimal Power Dispatch in the Deregulated Electricity Market Abhilipsa Sahoo, Prakash Kumar Hota, Preeti Ranjan Sahu, Faisal Alsaif, Sager Alsulamy, Taha Selim Ustun Axioms, 2023 A deregulated electricity market provides open access to all market players. In an open-access power market, the system operator is responsible for ensuring that all contracted power is dispatched. However, if this results in line flows that exceed their acceptable range, then it could threaten the system’s security. Therefore, the system operator checks for congestion as the line flow exceeds its limit. For congestion management, the system operator applies different curtailment strategies to limit the requested transaction. Therefore, in this work, an optimal power dispatch model has been presented in order to reduce the curtailment of requested power. A modified moth flame optimization technique has been implemented to frame this OPD model. The impact of congestion management on power dispatch has been analyzed, considering bilateral and multilateral dispatch in an electricity market. In addition, the effect of FACTS devices on reducing congestion and curtailing power is studied. Verification studies showed that the proposed solution reduces congestion costs by 27.14% and 29.4% in 14- and 30-bus systems, respectively. It has been verified that the MMFO approach with the FACTS device improves transaction deviations and ensures that the deregulated system provides secure energy with less cost reflected on the customers.
Simulation and analysis of active power filters for power quality improvement in a distribution system Anwesha Priyadarshini Satpathy, P. K Hota 2023 14th International Conference on Computing Communication and Networking Technologies Icccnt 2023, 2023 It is possible for a power system to experience various power quality (PQ) problems due to the application of Non-linear load (Man made cause) or fault, equipment failure (Natural cause). To overcome these non-linearities , power filters (PFs) are the best possible solutions .The main objective of this article is to mitigate different voltage and current based PQ issues such as voltage sag, swell, load unbalancing, power factor correction (PFC) etc by the implementation of series active PF (SAPF) and shunt active PF(ShAPF) respectively on a distribution system .A traditional control technique associated with Proportional integral (PI) controller is devised which minimizes the error between reference and actual value of the variables and gives required pulses for the operation of filters . The whole system along with PFs and its control techniques are simulated through MATLAB /SIMULINK and the results are also verified.
A Brief Review on Identification, Categorization and Elimination of Power Quality Issues in a Microgrid Using Artificial Intelligent Techniques Amrit Pattnaik, Prakash Kumar Hota, Meera Viswavandya U Porto Journal of Engineering, 2023 Power quality is the manifestation of a disruption in the supply voltage, current or frequency that damages the utility equipment and has become an important issue with the introduction of more sophisticated and sensitive devices. So, the supply power quality issue still remains a major challenge as its degradation can cause huge destabilization of electrical networks. As renewable energy sources have irregular nature, a microgrid essentially needs energy storage system containing advanced power electronic converters which is the root cause of majority of power quality disturbances. Also, the integration of non-linear and unbalanced loads into the grid adds to its power quality problems. This article gives a compact overview on the identification, categorization and mitigation of these power quality events in a microgrid by using various Artificial Intelligence-based techniques like Optimization techniques, Adaptive Learning techniques, Signal Processing and Pattern Recognition, Neural Networks and Fuzzy Logic.
Effective Load Frequency Control of Power System with Two-Degree Freedom Tilt-Integral-Derivative Based on Whale Optimization Algorithm Preeti Ranjan Sahu, Kumaraswamy Simhadri, Banaja Mohanty, Prakash Kumar Hota, Almoataz Y. Abdelaziz, Fahad Albalawi, Sherif S. M. Ghoneim, Mahmoud Elsisi Sustainability Switzerland, 2023 Nowadays, the operation and control of power systems are a big challenge. An essential part of the power system (PS) control is load frequency control (LFC). Different secondary controllers are implemented for the frequency control problem. Hence, cascaded two-degree freedom and a tilt-integral-derivative controller having a filter (2DOFTIDF) are intended in this paper and implemented for load frequency control. In order to determine the efficiency of the 2DOFTIDF controller, a well-known non-reheat thermal system with/without a governor dead band is considered. A new whale optimization algorithm (WOA) is used to enhance the suggested controller parameters. The predominance of the presented method is exhibited by comparing the consequences with different heuristic techniques tuned to controllers published recently. Further, the simulation results for two test cases indicate that system enactments are enhanced by introducing the suggested controller and are also best suited in the presence of system nonlinearity. Finally, random load fluctuation along with noise and changing the system parameters are also used to determine the reliability of the suggested controller. Compared to the WOA-tuned TIDF controller, the settling time of ΔF1, ΔF2, and ΔPTie is improved by 45.45%, 56.77%, and 20.26%, respectively, with the WOA-tuned 2DOFTIDF controller and by 40%, 48.27%, and 20%, respectively, with the DE-tuned TIDF controller. Experimental validation using the hardware-in-the-loop real-time simulation based on OPAL-RT has been carried out to confirm the viability of the proposed approach.
Power System Stability Improvement of FACTS Controller and PSS Design: A Time-Delay Approach Preeti Ranjan Sahu, Rajesh Kumar Lenka, Rajendra Kumar Khadanga, Prakash Kumar Hota, Sidhartha Panda, Taha Selim Ustun Sustainability Switzerland, 2022 The existence of low-frequency oscillations in power systems is the cause of power angle instability, limiting the transmission of maximum tie-line power. One of the effective ways to improve the stability limits is by installing a power system stabilizer and supplementary excitation control to augment with an automatic voltage regulator (AVR) supplemental feedback stabilizing signal. This paper proposes a new strategy for simultaneously tuning the power system stabilizer (PSS) and FACTS controller, considering time delays. The design of the proposed controller is modeled as an optimization problem, and the parameters of the controller are optimized through the grasshopper optimization algorithm (GOA). The suggested controller’s efficacy is evaluated for both single-machine infinite bus systems and multi-machine power systems under various disturbances. It also investigated the performance of the proposed controller with variations in signal transmission delays. The results obtained from GOA optimized proposed controller are compared with those obtained from the differential evolution algorithm, genetic algorithm, and whale optimization algorithm. In this context, the proposed GOA optimized controller reduced the objective function value by 16.32%, 14.56%, and 13.72%, respectively, in the SMIB system and 1.41%, 9.98%, and 13.31%, respectively, for the multi-machine system compared with the recently published WOA, and the well-established GA and DE. Further, the proposed controller is found to be stable and effectively increases stability even under small disturbances.
Impact of electric vehicles on optimal power dispatch of a micro-grid in competitive electric market Abhilipsa Sahoo, Prakash Kumar Hota Energy Sources Part A Recovery Utilization and Environmental Effects, 2022 In this study, for optimal power dispatch of a grid-connected micro-grid, a new stochastic model has been built up to minimize the operating cost of micro-grid that equipped with plug-in hybrid electric vehicles, renewable energy sources, and storage devices. Impact of electric vehicles on power dispatch is studied by considering its uncertainty charging characteristics. Monte–Carlo simulation is employed for uncertainty modeling. For this work, three different charging strategies are followed up, namely, uncontrolled, controlled, and smart charging strategy to observe the impact of electric vehicles on micro-grid. So, here an endeavor has been made using a potent and robust technique i.e. improved whale optimization algorithm for obtaining optimal power dispatch. The suggested method’s appropriateness and effectiveness are evaluated by modeling a grid-connected micro-grid. The outcomes of this technique improve the MG’s performances in terms of best solution and economic operation. On different case studies, the outcomes are compared with other methods without and with charging strategy of electric vehicles. It is seen that operating cost obtained without electric vehicles is nearly 300$ and with charging strategy, i.e. uncontrolled, controlled, and smart of electric vehicles are 664$, 390$, and 327$, respectively. So, inclusion of vehicles on MG increases operating cost but its impact on micro-grid significantly reduces the operating cost for smart charging strategy in comparison with other charging strategy.
Modeling Simulation of Photovoltaic System Connected to Grid using Matlab Akansha Hota, Sujit Kumar Bhuyan, Prakash Kumar Hota Proceedings of the 2020 International Conference on Renewable Energy Integration into Smart Grids A Multidisciplinary Approach to Technology Modelling and Simulation Icreisg 2020, 2020
Solar PV fed unified power quality conditioner system for DC-link voltage regulation and harmonics mitigation International Journal of Control and Automation, 2019
Modeling and simulation of hybrid energy system supplying 3Ø load and its power quality analysis International Journal of Renewable Energy Research, 2018
Power quality improvement by solar photo-voltaic/fuel cell integrated system using unified Power Quality conditioner International Journal of Renewable Energy Research, 2017
Optimal sizing and placement of static and dynamic VAR devices through imperialist competitive algorithm for minimization of transmission power loss International Journal of Engineering and Technology, 2014
An artificial neural network method for optimal generation dispatch with multiple fuel options Journal of the Institution of Engineers India Electrical Engineering Division, 2009
Large scale economic load dispatch by clonal selection algorithm Journal of the Institution of Engineers India Electrical Engineering Division, 2009
Short-term generation scheduling with take-or-pay fuel contract using an evolutionary programming technique Journal of the Institution of Engineers India Electrical Engineering Division, 2009
Dynamic search space squeezing technique for large scale optimal load dispatch Journal of the Institution of Engineers India Electrical Engineering Division, 2008
Optimal generation dispatch of a gas-fired steam plant with take-or-pay fuel contract Journal of the Institution of Engineers India Electrical Engineering Division, 2008
Economic load dispatching of generating units with multiple fuel options Journal of the Institution of Engineers India Electrical Engineering Division, 2007
Power quality analysis using phase correlated wavelet transform Iranian Journal of Electrical and Computer Engineering, 2004
A neuro-fuzzy based unified power flow controller for improvement of transient stability performance Journal of the Institution of Engineers India Electrical Engineering Division, 2003
Economic load scheduling applying artificial neural networks Journal of the Institution of Engineers India Electrical Engineering Division, 2002
Multiobjective generation dispatch using goal-attainment method Journal of the Institution of Engineers India Electrical Engineering Division, 2001
Comparison of ANN models for economic load dispatch problem Journal of the Institution of Engineers India Electrical Engineering Division, 2000
Development and implementation of fuzzy logic based constant speed DC drive Journal of the Institution of Engineers India Electrical Engineering Division, 2000
Economic emission load dispatch with line flow constraints using sequential quadratic programming technique Journal of the Institution of Engineers India Electrical Engineering Division, 2000
Fuzzy-set based optimization technique for economic emission load dispatch Journal of the Institution of Engineers India Electrical Engineering Division, 1999
Radial basis function network applied to economic generation scheduling Journal of the Institution of Engineers India Electrical Engineering Division, 1999