☆ 4.7 Article

Dynamic emission dispatch considering the probabilistic model with multiple smart energy system players based on a developed fuzzy theory-based harmony search algorithm

ENERGY (2023)

Related references

Note: Only part of the references are listed.

Article Thermodynamics

Cost compensation method for PEVs participating in dynamic economic dispatch based on carbon trading mechanism

Qingyun Nie et al.

Summary: This study reconstructs a dynamic economic dispatch model for Plug-in electric vehicles (PEVs) and establishes a mechanism for compensating battery degradation cost with carbon trading revenue. Through 3 case simulations, the rationality of the model and solution algorithm is verified, and the negative impacts of battery degradation cost on dispatch are quantitatively confirmed. Setting 6 carbon prices, it is shown that the carbon trading revenue can fully compensate for battery degradation cost and eliminate their negative impacts, suggesting a potential new subsidy policy for electric vehicles.

ENERGY (2022)

Add to Collection

Article Computer Science, Artificial Intelligence

A Reward Population-Based Differential Genetic Harmony Search Algorithm

Yang Zhang et al.

Summary: This paper proposes a reward population-based differential genetic harmony search algorithm to overcome the limitations of the harmony search algorithm. Experimental results show that the proposed algorithm has strong global search ability, high solving accuracy, and satisfactory stability.

ALGORITHMS (2022)

Add to Collection

Article Thermodynamics

Economic-emission dispatch problem in integrated electricity and heat system considering multi-energy demand response and carbon capture Technologies

Dongfeng Yang et al.

Summary: This paper proposes a multi-objective optimization scheme considering system uncertainties to achieve low-carbon economic operation of integrated electricity and heat systems. The scheme combines carbon capture power plants and multi-energy demand response to reduce carbon emissions and improve wind power consumption.

ENERGY (2022)

Add to Collection

Article Energy & Fuels

Economic research on application of electric heating system based on game theory

Tonxin Feng et al.

Summary: This study proposed a new business model for electric heating involving stakeholders such as the government, power grid company, and heat users. A specific tri-objective optimization model was used to characterize the game relationship of stakeholders, with results showing that high financial subsidies from the government can promote the promotion of electric heating.

GLOBAL ENERGY INTERCONNECTION-CHINA (2021)

Add to Collection

Article Energy & Fuels

Modeling and analysis of a microgrid considering the uncertainty in renewable energy resources, energy storage systems and demand management in electrical retail market

Chong Wang et al.

Summary: This paper proposes a heuristic method for load demand management in microgrids, utilizing a new decision-making criterion and particle swarm optimization method to reduce consumer costs. Simulation results show that demand response can significantly reduce total costs, as well as improve voltage stability and power deviation in the microgrid.

JOURNAL OF ENERGY STORAGE (2021)

Add to Collection

Article Thermodynamics

Investigation in economic analysis of microgrids based on renewable energy uncertainty and demand response in the electricity market

Shoujun Huang et al.

Summary: This paper introduces a new planning model based on renewable energy uncertainty and demand response, aiming to minimize the total cost of the electricity market. By incorporating energy storage systems and time-of-use demand response programs, the power flow in the microgrid is effectively managed to ensure essential load support and voltage stability.

ENERGY (2021)

Add to Collection

Article Computer Science, Artificial Intelligence

An agile and intelligent dynamic economic emission dispatcher based on multi-objective proximal policy optimization

Zhuang Shao et al.

Summary: The research defines a novel dynamic economic emission dispatcher problem and learning framework, transferring the optimization tasks offline and using multi-objective proximal policy optimization to significantly improve the speed and performance of the neural network dispatcher, showcasing its generalization capabilities.

APPLIED SOFT COMPUTING (2021)

Add to Collection

Article Energy & Fuels

Economic Emission Dispatch for Wind Power Integrated System with Carbon Trading Mechanism

Jingliang Jin et al.

Summary: This study establishes a stochastic EED model and converts it into a deterministic form. By designing an auxiliary decision-making method based on TOPSIS, it is found that minimizing fuel costs and carbon emissions can impact wind power reliability. Carbon trading can effectively reduce carbon emissions without increasing fuel costs, and may also improve power generation efficiency.

ENERGIES (2021)

Add to Collection

Article Energy & Fuels

Impacts of carbon trading and wind power integration on carbon emission in the power dispatching process

Jingliang Jin et al.

Summary: This study examines the impact of low-carbon methods on electricity carbon emissions and establishes a stochastic DEED model considering wind power uncertainties. The findings suggest that minimizing carbon emissions and fuel costs may compromise the reliability of wind power integrated system, and carbon trading can effectively reduce emissions and improve carbon emission efficiency.

ENERGY REPORTS (2021)

Add to Collection

Article Engineering, Electrical & Electronic

A Hybrid Multi-Objective Optimization Algorithm for Economic Emission Dispatch Considering Wind Power Uncertainty

Aiming Xia et al.

Summary: This paper presents a new hybrid multi-objective optimization algorithm based on MPA and DE for solving the EED problem. By improving MPA and combining it with the DE algorithm, the optimization performance of the proposed algorithm is enhanced. Experimental results show that the algorithm is effective and superior to other algorithms.

IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY-TRANSACTIONS OF ELECTRICAL ENGINEERING (2021)

Add to Collection

Article Green & Sustainable Science & Technology

Multi-objective dynamic economic emission dispatch based on electric vehicles and wind power integrated system using differential evolution algorithm

Baihao Qiao et al.

RENEWABLE ENERGY (2020)

Add to Collection

Article Thermodynamics

Adaptive time division power dispatch based on numerical characteristics of net loads

Shu-bo Hu et al.

ENERGY (2020)

Add to Collection

Article Green & Sustainable Science & Technology

Dynamic economic emission dispatch with wind power based on improved multi-objective brain storm optimisation algorithm

Liu Gang et al.

IET RENEWABLE POWER GENERATION (2020)

Add to Collection

Article Green & Sustainable Science & Technology

Improved EMD-Based Complex Prediction Model for Wind Power Forecasting

Oveis Abedinia et al.

IEEE TRANSACTIONS ON SUSTAINABLE ENERGY (2020)

Add to Collection

Article Engineering, Electrical & Electronic

Smart load scheduling strategy utilising optimal charging of electric vehicles in power grids based on an optimisation algorithm

Maxim Lu et al.

IET SMART GRID (2020)

Add to Collection

Article Computer Science, Information Systems

An Improved Multicriteria Optimization Method for Solving the Electric Vehicles Planning Issue in Smart Grids via Green Energy Sources

Oveis Abedinia et al.

IEEE ACCESS (2020)

Add to Collection

Article Computer Science, Artificial Intelligence

Solving dynamic economic emission dispatch problem considering wind power by multi-objective differential evolution with ensemble of selection method

B. Y. Qu et al.

NATURAL COMPUTING (2019)

Add to Collection

Article Computer Science, Artificial Intelligence

Solving dynamic economic emission dispatch problem considering wind power by multi-objective differential evolution with ensemble of selection method

B. Y. Qu et al.

NATURAL COMPUTING (2019)

Add to Collection

Article Thermodynamics

Optimal location planning method of fast charging station for electric vehicles considering operators, drivers, vehicles, traffic flow and power grid

Weiwei Kong et al.

ENERGY (2019)

Add to Collection

Article Energy & Fuels

Multi-area dynamic economic emission dispatch of hydro-wind-thermal power system

M. Basu

RENEWABLE ENERGY FOCUS (2019)

Add to Collection

Article Thermodynamics

Optimization of single and multi-areas economic dispatch problems based on evolutionary particle swarm optimization algorithm

M. Mohammadian et al.

ENERGY (2018)

Add to Collection

Article Multidisciplinary Sciences

Relaxed I-SHOT trust-region algorithm for solving multi-objective economic emission load dispatch problem

B. El-sobky et al.

JOURNAL OF TAIBAH UNIVERSITY FOR SCIENCE (2018)

Add to Collection

Article Energy & Fuels

Dynamic Power Dispatch Considering Electric Vehicles and Wind Power Using Decomposition Based Multi-Objective Evolutionary Algorithm

Boyang Qu et al.

ENERGIES (2017)

Add to Collection

Article Thermodynamics

Fuel constrained economic emission dispatch using nondominated sorting genetic algorithm-II

M. Basu

ENERGY (2014)

Add to Collection

Article Thermodynamics

Imperialist competitive algorithm for solving non-convex dynamic economic power dispatch

Behnam Mohammadi-ivatloo et al.

ENERGY (2012)

Add to Collection

Article Engineering, Electrical & Electronic

Minimum Emission Dispatch Constrained by Stochastic Wind Power Availability and Cost

Xian Liu et al.

IEEE TRANSACTIONS ON POWER SYSTEMS (2010)

Add to Collection

Article Thermodynamics

A new method to estimate Weibull parameters for wind energy applications

Seyit A. Akdag et al.

ENERGY CONVERSION AND MANAGEMENT (2009)

Add to Collection

Article Computer Science, Interdisciplinary Applications

A new heuristic optimization algorithm: Harmony search

ZW Geem et al.

SIMULATION (2001)

Add to Collection

© Peeref 2019-2024. All rights reserved.