Review of economic dispatch in multi-area power system: State-of-the-art and future prospective

Kunya, Abdullahi Bala; Abubakar, Adamu Saidu; Yusuf, Samuel Sunday

doi:10.1016/j.epsr.2022.109089

Cited by 43 publications

(11 citation statements)

References 211 publications

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“…The specific parameters are given in the chart below. Table 3 and Table 4 are the cost technology of the diesel generator [ 56 ].

and

represents the upper and lower limits of the installed capacity of each unit.…”

Section: Simulationmentioning

confidence: 99%

Research on Microgrid Optimal Dispatching Based on a Multi-Strategy Optimization of Slime Mould Algorithm

Zhang,

Zhou

2024

Biomimetics

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In order to cope with the problems of energy shortage and environmental pollution, carbon emissions need to be reduced and so the structure of the power grid is constantly being optimized. Traditional centralized power networks are not as capable of controlling and distributing non-renewable energy as distributed power grids. Therefore, the optimal dispatch of microgrids faces increasing challenges. This paper proposes a multi-strategy fusion slime mould algorithm (MFSMA) to tackle the microgrid optimal dispatching problem. Traditional swarm intelligence algorithms suffer from slow convergence, low efficiency, and the risk of falling into local optima. The MFSMA employs reverse learning to enlarge the search space and avoid local optima to overcome these challenges. Furthermore, adaptive parameters ensure a thorough search during the algorithm iterations. The focus is on exploring the solution space in the early stages of the algorithm, while convergence is accelerated during the later stages to ensure efficiency and accuracy. The salp swarm algorithm’s search mode is also incorporated to expedite convergence. MFSMA and other algorithms are compared on the benchmark functions, and the test showed that the effect of MFSMA is better. Simulation results demonstrate the superior performance of the MFSMA for function optimization, particularly in solving the 24 h microgrid optimal scheduling problem. This problem considers multiple energy sources such as wind turbines, photovoltaics, and energy storage. A microgrid model based on the MFSMA is established in this paper. Simulation of the proposed algorithm reveals its ability to enhance energy utilization efficiency, reduce total network costs, and minimize environmental pollution. The contributions of this paper are as follows: (1) A comprehensive microgrid dispatch model is proposed. (2) Environmental costs, operation and maintenance costs are taken into consideration. (3) Two modes of grid-tied operation and island operation are considered. (4) This paper uses a multi-strategy optimized slime mould algorithm to optimize scheduling, and the algorithm has excellent results.

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“…The specific parameters are given in the chart below. Table 3 and Table 4 are the cost technology of the diesel generator [ 56 ].

and

represents the upper and lower limits of the installed capacity of each unit.…”

Section: Simulationmentioning

confidence: 99%

Research on Microgrid Optimal Dispatching Based on a Multi-Strategy Optimization of Slime Mould Algorithm

Zhang,

Zhou

2024

Biomimetics

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“…where (13) indicates the energy conservation constraint, ( 14) is the limit for charging or discharging rate, and ( 16) is the state of charge (SOC) limit of the ESS. For the ESS, although the SOC can vary from 0 to 1 (0% to 100%), fully discharging can damage the battery permanently and shorten the life cycle of the battery [30].…”

Section: A Optimization Model For System Efficiencymentioning

confidence: 99%

“…Reduction in fuel cost can also be achieved indirectly through economic dispatch (ED) optimization problems [12], [13]. In the ED problem, a polynomial objective function (generally in quadratic form) representing the cost of the generator dispatch is optimized to supply the demand most economically.…”

mentioning

confidence: 99%

System Efficiency Model for Microgrids Using Fractional Programming

Anam,

Vu,

Murari

et al. 2023

2023 IEEE Electric Ship Technologies Symposium (ESTS)

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Reducing the fuel consumption within a power network is crucial to enhance the overall system efficiency and minimize operating costs. Fuel consumption minimization can be achieved through different optimization techniques where the output power of the generators is regulated based on their individual efficiency characteristics. Existing studies primarily focus either on maximizing the efficiency function or minimizing the operating cost function of the generators to minimize fuel consumption. However, for practical implementation, it becomes imperative to incorporate a function within the optimization framework to represent the fuel consumption rate directly. This study introduces a novel approach by formulating a minimization problem with a sum-of-ratios objective function representing the fuel consumption rate. However, optimization problems with sum-of-ratios objective functions or constraints are extremely challenging to solve because of their strong nonlinearity. To efficiently solve the formulated problem, a fractional programming (FP) approach is adopted in this study. This reformulation technique significantly reduces the solution time of the optimization problem and provides a better solution than nonlinear programming (NLP). In addition, the reformulated problem can also be applied to large-scale systems where the NLP fails to converge. The proposed methodology of this study is tested on the notional MVAC ship system, modified IEEE 30-bus and IEEE 118-bus systems. The results demonstrate that the model successfully minimizes fuel consumption by effectively scheduling the generator and ESS dispatch.

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“…The EDP refers to the process of calculating the output power of each available generator to meet the total network demand while minimizing operation costs and/or generators' carbon dioxide emissions [4]. Essentially, the EDP involves identifying the most efficient scheduling of generators while considering various economic and technical limitations associated with both the committed generators and the power grid.…”

Section: Introductionmentioning

confidence: 99%

Economic Dispatch Optimization Strategies and Problem Formulation: A Comprehensive Review

Marzbani,

Abdelfatah

2024

Energies

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Economic Dispatch Problems (EDP) refer to the process of determining the power output of generation units such that the electricity demand of the system is satisfied at a minimum cost while technical and operational constraints of the system are satisfied. This procedure is vital in the efficient energy management of electricity networks since it can ensure the reliable and efficient operation of power systems. As power systems transition from conventional to modern ones, new components and constraints are introduced to power systems, making the EDP increasingly complex. This highlights the importance of developing advanced optimization techniques that can efficiently handle these new complexities to ensure optimal operation and cost-effectiveness of power systems. This review paper provides a comprehensive exploration of the EDP, encompassing its mathematical formulation and the examination of commonly used problem formulation techniques, including single and multi-objective optimization methods. It also explores the progression of paradigms in economic dispatch, tracing the journey from traditional methods to contemporary strategies in power system management. The paper categorizes the commonly utilized techniques for solving EDP into four groups: conventional mathematical approaches, uncertainty modelling methods, artificial intelligence-driven techniques, and hybrid algorithms. It identifies critical research gaps, a predominant focus on single-case studies that limit the generalizability of findings, and the challenge of comparing research due to arbitrary system choices and formulation variations. The present paper calls for the implementation of standardized evaluation criteria and the inclusion of a diverse range of case studies to enhance the practicality of optimization techniques in the field.

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Review of economic dispatch in multi-area power system: State-of-the-art and future prospective

Cited by 43 publications

References 211 publications

Research on Microgrid Optimal Dispatching Based on a Multi-Strategy Optimization of Slime Mould Algorithm

Research on Microgrid Optimal Dispatching Based on a Multi-Strategy Optimization of Slime Mould Algorithm

System Efficiency Model for Microgrids Using Fractional Programming

Economic Dispatch Optimization Strategies and Problem Formulation: A Comprehensive Review

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