Stochastic Economic Dispatch of a Power System With Solar Farm Considering Generation Flexibility and Reliability DOI Creative Commons

Asghar Sabzevari,

Majid Moazzami, Bahador Fani

et al.

International Journal of Energy Research, Journal Year: 2024, Volume and Issue: 2024(1)

Published: Jan. 1, 2024

In this paper, a novel approach is presented for optimizing economic dispatch (ED) in power systems featuring solar farms and flexible loads. The ED problem formulated as multiobjective optimization task with stochastic characteristics. To address challenge, hybrid algorithm named differential evolution (hDE)‐multiobjective flower pollination (MOFPA) proposed, which integrates principles from the MOFPA, yielding enhanced performance. Two weighted objective functions are introduced to represent operation cost system generation flexibility index (GFI) based on carefully selected scenarios. occurrence probability of each scenario influences function’s final value. Monte Carlo simulation (MCS) utilized selection, enabling comprehensive assessment We first evaluate proposed by standard benchmark comparing results against those other state‐of‐the‐art algorithms. outcomes demonstrate superior accuracy efficiency hDE‐MOFPA algorithm. subsequent phase, we optimally solve problem, considering uncertainties involvement A sensitivity analysis conducted examine impact loads both emissions. reveal that combined uncertainty load photovoltaic (PV) significantly system. By adopting approach, our method offers valuable insights into loads, various indicates leads 4.9% increase operational expenditures 4.1% decrease GFI. Also, irradiation range 5% 20%, GFI experiences decline 4.08% 20.18%, while costs undergo an 4.92% 18.93%.

Language: Английский

A Concise Review on Applications of Bioinspired Algorithms in Electrical Power System DOI
C. Balakrishna Moorthy, Saraswathi Sivamani

Electric Power Components and Systems, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 17

Published: Feb. 25, 2024

The integration of bioinspired algorithms into electrical power systems has gained significant attention in recent years due to their potential address complex optimization and control problems. This paper presents a concise review on the applications various aspects systems, including generation, transmission, distribution, utilization. starts with an overview system then discusses fundamental concepts algorithms. Next, explores application generation. It examines use optimizing operation scheduling plants, maximizing renewable energy integration, improving efficiency generation processes. Moving transmission how can be applied optimize routing flows, enhance fault detection diagnosis, improve reliability security grid infrastructure. Furthermore, utilization is explored, focusing load forecasting, demand response, management, quality enhancement. Finally, concludes summary main findings future research directions. emphasizes need for further exploration development hybrid emerging technologies such as machine learning big data analytics.

Language: Английский

Citations

2
Combined emission economic dispatch using quantum-inspired particle swarm optimization and its variants DOI Creative Commons
Muhammad Asif, Adil Amin, Umar Jamil

et al.

Energy Exploration & Exploitation, Journal Year: 2024, Volume and Issue: 42(5), P. 1602 - 1644

Published: March 19, 2024

The ever-increasing electricity demand, its dependency on fossil fuels, and the consequent environmental degradation are major concerns of this era. worldwide domination fuels in bulk generation is rapidly increasing emissions CO 2 other environmentally dangerous gases that contributing to climate change. economic emission dispatch two important problems thermal power whose combination produces a complex highly constrained nonlinear optimization problem known as combined dispatch. aims allocate committed units minimize fuel cost emissions, simultaneously while honoring all equality inequality constraints. Therefore, article, we investigate solution using quantum particle swarm modified versions, is, enhanced integrated with weighted mean personal best adaptive local attractor. algorithm achieves particles’ diversification at early stages shows good performance search later stages. attractor boosts attains better global optimality. suggested methods employed achieve for four distinct systems, encompassing scenarios 6 each, one 10-unit configuration, another an 11-unit setup. A comparative analysis methodologies documented existing literature reveals proposed approach outperforms others, demonstrating superior computational robust efficiency.

Language: Английский

Citations

2
Demand side management through energy efficiency measures for the sustainable energy future of Pakistan DOI Creative Commons
Arshad Chughtai, Mohammad Aslam Uqaili, Nayyar Hussain Mirjat

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(15), P. e34798 - e34798

Published: July 21, 2024

Pakistan is facing energy crises due to localized shortages, market manipulation, infrastructure disruption, rising demand, governance issues, climate and geopolitical events. In this situation Demand Side Management (DSM) a promising solution overcome the problem of crises. DSM strategy helps manage consumer demand through conservation rather than addition new power capacity. study, Low Emissions Analysis Platform (LEAP) develops an model for period 2022-2050. Three scenarios has been constructed namely Baseline (BAS), Green Energy Policy (GEP), Efficiency (ENE) predict future production, carbon emissions investment cost which covers capital, operational maintenance costs. The results suggest that targets should be achieved implementation ENE scenario. Predicted production consumption under scenario are substantially less those BAS country can meet its 635.83,000 GWh with 747.15,000 production. Non-renewable sources produce 171.27,000 GWh, whilst renewable 575.88,000 GWh. According scenario, by 2050, CO

Language: Английский

Citations

2
Stochastic optimal power flow framework with incorporation of wind turbines and solar PVs using improved liver cancer algorithm DOI Creative Commons
Noor Habib Khan, Yong Wang, Salman Habib

et al.

IET Renewable Power Generation, Journal Year: 2024, Volume and Issue: 18(14), P. 2672 - 2693

Published: Oct. 1, 2024

Abstract The present study introduces a nature inspired improved liver cancer algorithm (ILCA) for solving the non‐convex engineering optimization issues. traditional LCA (t‐LCA) inspires from conduct of tumours and integrates biological ethics during procedure. However, t‐LCA facing stagnation issues may trap into local optima. To avoid such provide optimal solution, there are some modifications implemented internal structure based on Weibull flight operator, mutation‐based approach, quasi‐opposite‐based learning gorilla troops exploitation‐based mechanisms to enhance overall strength obtain global solution. For validation ILCA, non‐parametric statistical analysis performed using benchmark standard functions. Moreover, ILCA is applied resolve stochastic renewable‐based (wind turbines + PVs) power flow problem modified RER‐based IEEE 57‐bus. objective this work minimum predicted losses voltage stability. By incorporation renewable resources IEEE57‐bus network can help system reduce 5.6622 3.8142 MW, while stability enhanced 0.1700 0.1164 p.u.

Language: Английский

Citations

2
An intelligent quasi-oppositional HBO technique to solve non-smooth non-convex economic dispatch problem DOI
Vedik Basetti, Chandan Kumar Shiva, Sachidananda Sen

et al.

Evolutionary Intelligence, Journal Year: 2023, Volume and Issue: 17(4), P. 2293 - 2344

Published: Oct. 28, 2023

Language: Английский

Citations

3
Enhanced BBO technique used to solving EED problems in electrical power systems DOI Creative Commons
Ismail Marouani

AIMS environmental science, Journal Year: 2024, Volume and Issue: 11(4), P. 496 - 515

Published: Jan. 1, 2024

<p>This paper proposes an improved biogeography-based optimization (BBO) algorithm to effectively solve the economic and environmental dispatch (EED) problem in power systems. The EED is a crucial challenge system operations, which aims balance minimization of operating costs impacts. Various metaheuristic algorithms have been explored literature address this problem, including original BBO algorithm. However, complex constraints non-linearities associated with such as ramp-rate limits (RRLs), prohibited Zones (POZs), valve point loading effects (VPLEs), pose significant challenges for approach. subject range practical that significantly impact optimal solution. Addressing these accurately efficiently essential realistic optimization. In work, we present enhanced incorporates several innovative features improve its performance overcome limitations key enhancement incorporation Cauchy distribution mutation operator, helps better explore search space escape local optima. Comprehensive experiments were conducted on standard 10-bus 40-bus test systems evaluate effectiveness proposed results demonstrate outperforms other state-of-the-art techniques terms convergence speed, solution quality, robustness. Specifically, achieved 12% reduction 15% decrease emissions compared method. provides promising addressing systems, considering are commonly encountered real-world scenarios.</p>

Language: Английский

Citations

0
A novel improved harbor seal whiskers algorithm for solving hybrid dynamic economic environmental dispatch considering uncertainty of renewable energy generation DOI Creative Commons
Wisam Najm Al-Din Abed

e-Prime - Advances in Electrical Engineering Electronics and Energy, Journal Year: 2024, Volume and Issue: 9, P. 100685 - 100685

Published: July 11, 2024

The originality of this work is introducing a novel Improved Harbor Seal Whiskers Algorithm (IHSWA) as an innovative and improved optimizer for solving complex hybrid dynamic economic-environmental dispatch (HDEED) considering uncertainty renewable energy generation (REG) various system constraints. IHSWA implemented by hybridizing opposition-based algorithm (OBA) local search (LSA) approaches to enhance the algorithm's efficiency overcome challenges other counterpart approaches. has optimal balancing feature between searching modes (exploring exploiting modes). This makes proposed algorithms more advanced than their optimizing techniques. HDEED modeled using non-convex non-smooth objective function, equality inequality constraints such ramp rate bounds (RRLs), valve-point effects (VPE), production limits (PL), spinning reserves (SRLs), prohibited operating zones (POZs), power balance (PB). approach verified on modified IEEE 57-bus 7-unit incorporating solar wind generation. compared with modern optimization techniques, traditional (HSWA), Lemurs Optimization (LOA), Nutcracker (NOA), Artificial Hummingbird (AHA). incorporation REG sources produces significant reduction in operative costs remarkable decline emissions. convergence indicates that converges rapidly towards solution, achieving best global optimum solution. ANOVA test Tukey are used analyze results statistically. shows superior features fuel cost 1640.5890 $ minimum std. value 1708.4895. While emission minimizing, attained 1080.1629 kg 1777.0770, respectively. statistical analysis approves stability, reliability, consistency strategy convergence. appreciated contribution efficiently, REG, over its holds specific importance economic development countries. It creates path increased self-sufficiency reducing need fossil fuels production. study emphasizes transition from being reliant sustainable urban economies.

Language: Английский

Citations

0
Two-Stage Optimal Scheduling Strategy of Microgrid Distribution Network Considering Multi-Source Agricultural Load Aggregation DOI Creative Commons

Guozhen Ma,

Ning Pang,

Yunjia Wang

et al.

Energies, Journal Year: 2024, Volume and Issue: 17(21), P. 5429 - 5429

Published: Oct. 30, 2024

With the proposed “double carbon” target for power system, large-scale distributed energy access poses a major challenge to way distribution grid operates. The rural network (DN) will transform into new local system primarily driven by renewable sources and storage, while also being interconnected with larger grid. development of DN heavily rely on construction efficient planning microgrid (MG) within agricultural park. Based this, this paper proposes two-stage optimal scheduling model solution strategy multi-source load aggregation. First, in first stage, considering flexible market time-of-use electricity price, economic optimization is realized optimizing operation schedulable resources linear stage solved Lingo algorithm fast speed high accuracy. In second interaction between MG park considered. By optimising output reactive compensation device, operating state optimised. At non-linear convex problems are particle swarm algorithm. Finally, example analysis shows that method can effectively improve feasible region safe areas income aggregation

Language: Английский

Citations

0
Integrated energy microgrids participating in voltage regulation ancillary services: An improved ADMM based distributed optimization approach DOI Creative Commons
Hao Xiao,

Wei Pei,

Daoxin Han

et al.

IET Renewable Power Generation, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 10, 2024

Abstract The integrated energy microgrid (IEM) has good potential for both active and reactive power regulation, which are gradually becoming critical resources participating in system ancillary services. This paper constructs a distributed optimization model the IEMs voltage regulation services by considering multiple physical network constraints. To reduce computational complexity, DistFlow flow second‐order cone relaxation method introduced to transform into programming problem. Moreover, an improved accelerated consensus alternating direction of multipliers algorithm is proposed accelerate solutions while protecting user privacy. Finally, solution tested modified IEEE‐33 node test case verify their effectiveness feasibility.

Language: Английский

Citations

0
Stochastic Economic Dispatch of a Power System With Solar Farm Considering Generation Flexibility and Reliability DOI Creative Commons

Asghar Sabzevari,

Majid Moazzami, Bahador Fani

et al.

International Journal of Energy Research, Journal Year: 2024, Volume and Issue: 2024(1)

Published: Jan. 1, 2024

In this paper, a novel approach is presented for optimizing economic dispatch (ED) in power systems featuring solar farms and flexible loads. The ED problem formulated as multiobjective optimization task with stochastic characteristics. To address challenge, hybrid algorithm named differential evolution (hDE)‐multiobjective flower pollination (MOFPA) proposed, which integrates principles from the MOFPA, yielding enhanced performance. Two weighted objective functions are introduced to represent operation cost system generation flexibility index (GFI) based on carefully selected scenarios. occurrence probability of each scenario influences function’s final value. Monte Carlo simulation (MCS) utilized selection, enabling comprehensive assessment We first evaluate proposed by standard benchmark comparing results against those other state‐of‐the‐art algorithms. outcomes demonstrate superior accuracy efficiency hDE‐MOFPA algorithm. subsequent phase, we optimally solve problem, considering uncertainties involvement A sensitivity analysis conducted examine impact loads both emissions. reveal that combined uncertainty load photovoltaic (PV) significantly system. By adopting approach, our method offers valuable insights into loads, various indicates leads 4.9% increase operational expenditures 4.1% decrease GFI. Also, irradiation range 5% 20%, GFI experiences decline 4.08% 20.18%, while costs undergo an 4.92% 18.93%.

Language: Английский

Citations

0