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

Multi-objective RIME algorithm-based techno economic analysis for security constraints load dispatch and power flow including uncertainties model of hybrid power systems DOI Creative Commons
Sundaram B. Pandya, Kanak Kalita, Pradeep Jangir

et al.

Energy Reports, Journal Year: 2024, Volume and Issue: 11, P. 4423 - 4451

Published: April 18, 2024

In recent times, the landscape of power systems has undergone significant evolution, particularly with integration diverse renewable energy sources (RESs). This advancement presents an invaluable opportunity to enhance efficiency in modern grid, primarily by bolstering role stochastic RESs. The challenge lies optimal flow (OPF), a multifaceted and non-linear optimization that grows more complex inclusion RESs aims optimize allocation system resources minimize operational cost while maintaining stability security system. Addressing this, current study introduces innovative approach, Multi-Objective RIME (MORIME) algorithm. Drawing inspiration from physical phenomenon rime-ice, called RIME, MORIME seeks effectively tackle OPF issues. algorithm enhances solution accuracy smartly dividing non-dominated sorting crowding distance mechanism. proposed model incorporates three types RESs: solar photovoltaic, wind small-scale hydropower units. While uncertainties speed irradiation are managed through Monte Carlo simulations, small hydro unit is considered constant source. efficacy tested on IEEE 30 bus results indicate method identifies for multi-objective problem satisfying constraints, thereby proving its effectiveness superiority over MOWOA, MOGWO, MOALO, MOMRFO MOAGDE terms Hyper Volume (HV) reciprocal Pareto Sets Proximity (1/PSP) metrices. source code available at: https://github.com/kanak02/MORIME

Language: Английский

Citations

25
Metaheuristic optimization algorithms for multi-area economic dispatch of power systems: part II—a comparative study DOI Creative Commons
Yan Wang, Guojiang Xiong

Artificial Intelligence Review, Journal Year: 2025, Volume and Issue: 58(5)

Published: Feb. 14, 2025

Language: Английский

Citations

2
Co-optimization of system configurations and energy scheduling of multiple community integrated energy systems to improve photovoltaic self-consumption DOI

Changqi Wei,

Jiangjiang Wang, Yuan Zhou

et al.

Renewable Energy, Journal Year: 2024, Volume and Issue: 225, P. 120230 - 120230

Published: Feb. 27, 2024

Language: Английский

Citations

11
Economic emission dispatch considering electric vehicles and wind power using enhanced multi-objective exchange market algorithm DOI
Hossein Nourianfar, Hamdi Abdi

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 415, P. 137805 - 137805

Published: June 13, 2023

Language: Английский

Citations

17
Multi-objective optimal power flow of thermal-wind-solar power system using an adaptive geometry estimation based multi-objective differential evolution DOI Creative Commons

Truong Hoang Bao Huy,

Hien Thanh Doan,

Dieu Ngoc Vo

et al.

Applied Soft Computing, Journal Year: 2023, Volume and Issue: 149, P. 110977 - 110977

Published: Oct. 28, 2023

Sustainable energy is a key component of sustainable development. The current grid can be supplied by fossil fuel generators and renewable sources (RESs)-based generators, such as solar photovoltaic (PV) wind power generators. In an electrical network, generation from several must optimally coordinated to ensure efficient economical operation. However, the intermittent uncertain nature RESs complicate operation systems. this study, adaptive geometry estimation-based multi-objective differential evolution (AGE-MODE) method proposed for optimal flow in hybrid system thermal, wind, (MOOPF-TWS). approach, PV outputs are predicted based on Weibull lognormal probability distribution functions, respectively. Therefore, costs divided into direct costs, penalty underestimation, reserve overestimation. Furthermore, emissions, voltage deviation, real loss considered particular cases. AGE-MODE applied modified IEEE 30-bus 57-bus systems, where different case studies simulated with combinations two-, three-, four-objective optimizations MOOPF-TWS problems. Comparisons between other recently developed methods demonstrate its effectiveness resolving problems, particularly cases more than two objectives.

Language: Английский

Citations

15
Isolated industrial micro-grid demand response with assembly process based on distributionally robust chance constraint DOI
Qian Wu, Qiankun Song

International Journal of Systems Science, Journal Year: 2024, Volume and Issue: 55(11), P. 2211 - 2223

Published: April 9, 2024

In this paper, demand response for isolated industrial micro-grid is investigated, in which the typical manufacturing assembly process, battery, conventional generator and PV generation are contained. The process modelled by fully considering coupling relationships between tasks buffers. On other hand, uncertainty taken into account, where data-driven distributionally robust chance constraints designed error day-ahead forecast real-time operation dealt with reserve capacity of generator. addition, expectation operator reformulated as linear constraints, can be solved commercial solver directly. Finally, a case study using lithium-ion battery factory presented to prove superiority effectiveness proposed model.

Language: Английский

Citations

3
Multi-objective optimal power flow problem using constrained dynamic multitasking multi-objective optimization algorithm DOI
Jun‐Hua Zhu, Xiaobing Yu, Feng Wang

et al.

Swarm and Evolutionary Computation, Journal Year: 2025, Volume and Issue: 93, P. 101850 - 101850

Published: Jan. 11, 2025

Language: Английский

Citations

0
Dynamic economic dispatch of multi-area wind-solar-thermal power systems with fractional order comprehensive learning differential evolution DOI
Yan Wang, Guojiang Xiong,

Shengping Xu

et al.

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 136233 - 136233

Published: April 1, 2025

Language: Английский

Citations

0
A Novel Hybrid Crow Search Arithmetic Optimization Algorithm for Solving Weighted Combined Economic Emission Dispatch with Load-Shifting Practice DOI Creative Commons
Bishwajit Dey, Gulshan Sharma, Pitshou N. Bokoro

et al.

Algorithms, Journal Year: 2024, Volume and Issue: 17(7), P. 313 - 313

Published: July 16, 2024

The crow search arithmetic optimization algorithm (CSAOA) method is introduced in this article as a novel hybrid technique. This proposed strategy population-based metaheuristic inspired by crows’ food-hiding techniques and merged with recently created simple yet robust (AOA). method’s performance superiority over other existing methods evaluated using six benchmark functions that are unimodal multimodal nature, real-time problems related to power systems, such the weighted dynamic economic emission dispatch (DEED) problem. A load-shifting mechanism also implemented, which reduces system’s generation cost even further. An extensive technical study carried out compare DEED penalty factor-based arrive at superior compromise option. effects of CO2, SO2, NOx studied independently determine their impact on system emissions. In addition, weights modified from 0.1 0.9, generating investigated. Nonparametric statistical analysis asserts CSAOA robust.

Language: Английский

Citations

2
Economic Emission Dispatch With Stochastic Renewable Power and Voltage Source Converters via Reinforcement Learning Multi-Objective Differential Evolution DOI
Derong Lv, Guojiang Xiong, Xiaofan Fu

et al.

IEEE Transactions on Power Systems, Journal Year: 2024, Volume and Issue: 39(6), P. 6889 - 6900

Published: Feb. 29, 2024

Multi-objective economic emission dispatch (MOEED) is a key fundamental problem for the optimal operation of power systems. With increasing scale grid integration renewable sources such as wind and solar power, VSC-based multi-port systems can improve system flexibility to increase consumption power. In this context, structure more compact, making corresponding MOEED complicated. Considering uncertainty model established in study. The overestimation underestimation situations are modeled. To solve model, we presented an enhanced multi-objective differential evolution, namely RLMOQILDE. Moreover, mating pool-based quadratic interpolation, reinforcement learning, constraint processing technology combined boost its performance. Finally, feasibility effectiveness RLMOQILDE verified on two three-port constructed by expanding modified IEEE 30-bus system.

Language: Английский

Citations

1