Wind‐thermal dynamic economic emission dispatch with a hybrid multi‐objective algorithm based on wind speed statistical analysis

Liu, Gang; Zhu, Yong; Jiang, Wei

doi:10.1049/iet-gtd.2018.5364

Cited by 31 publications

(28 citation statements)

References 38 publications

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“…SRR constraints are frequently applied in the unit commitment problem and economic dispatch problem [11][12][13]. It can be employed to provide the operating reserves to balance the influence brought by the renewables uncertainty and forecast error [14].…”

Section: (2) Power Operating Constrainsmentioning

confidence: 99%

A Selection Hyper-Heuristic Algorithm for Multiobjective Dynamic Economic and Environmental Load Dispatch

Yang

2020

Complexity

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Dynamic economic and environmental load dispatch (DEED) aims to determine the amount of electricity generated from power plants during the planning period to meet load demand while minimizing energy consumption costs and environmental pollution emission indicators subject to the operation requirements. This planning problem is usually expressed using a nonsmooth cost function, taking into account various equality and inequality constraints such as valve-point effects, operational limits, power balance, and ramp rate limits. This paper presents DEED models developed for a system consisting of thermal units, wind power generators, photovoltaic (PV) generators, and energy storage (ES). A selection hyper-heuristic algorithm is proposed to solve the problems. Three heuristic mutation operators formed a low-level operator pool to direct search the solution space of DEED. The high level of SHHA evaluates the performances of the low-level operators and dynamically adjusts the chosen probability of each operator. Simulation experiments were carried out on four systems of different types or sizes. The results verified the effectiveness of the proposed method.

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Section: (2) Power Operating Constrainsmentioning

confidence: 99%

A Selection Hyper-Heuristic Algorithm for Multiobjective Dynamic Economic and Environmental Load Dispatch

Yang

2020

Complexity

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“…e MAPSO algorithm is compared with the algorithms used in the same model and data in recent years [19,37,57,[69][70][71]. e specific results are shown in Table 5.…”

Section: Mapso Test Of 10 Generators Unit System Without Wind Powermentioning

confidence: 99%

“…In the 16th period, the network loss of [53] 49216.81 --SA [10] 47356 --IRCGA [9] 47185 --PS [54] 46530 --DE [9] 45800 --GA [35] 44862.42 44921.76 45893.95 AIS [36] 44385.43 44758.84 45553.77 HS [55] 44367.23 --PSO [35] 44253.24 45657.06 46402.52 ABC [35] 44045 therefore, the model considers (3) and (4) and constraints (6)- (10), dispatching period H � 24 h, and time interval is 1 h. e parameters of units and network losses in the system are obtained from [70]. e total installed capacity of the -2480200 MAMODE [19] 505 2492451 IBFA [57] 5.2 2481733 HMO-DE-PSO [71] -2484000 RCGA/NSGA-II [69] 1080 2516800 AIS [37] 53.56 2519700 PSO [37] 68.47 2572200 EP [37] 72.68 2585400 Table 6: Wind power and system load forecast at different periods.…”

Section: Mapso Test Of 10 Generators Unit System With Windmentioning

confidence: 99%

Modified Antipredatory Particle Swarm Optimization for Dynamic Economic Dispatch with Wind Power

Chen

Han

Wang

et al. 2019

Mathematical Problems in Engineering

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A modified antipredatory particle swarm optimization (MAPSO) algorithm with evasive adjustment behavior is proposed to solve the dynamic economic dispatch problem of wind power. The algorithm adds the social avoidance inertia weight to the conventional antipredatory particle swarm optimization (APSO) speed update formula. The size of inertia weight is determined by the distance between the global worst particle and other particles. After normalizing the distance, the inertia weight is controlled within the ideal range by using the characteristics of sigmoid function and linear decreasing method, which improves the ability of particles to avoid the worst solution. Then, according to the characteristics of the acceleration coefficient which can adjust the local and global searching ability of particles, acceleration coefficients of nonlinear change strategy is proposed to improve the searching ability of the algorithm. Finally, the proposed algorithm is applied to several benchmark functions and power grid system models, and the results are compared with those reported using other algorithms, which prove the effectiveness and superiority of the proposed algorithm.

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“…Gang Liu proposed a dynamic economic emission with wind-thermal plant in paper [19]. A hybrid method, DE and PSO are integrate into DE-PSO algorithm to solve the problem.…”

Section: Ceed With Renewable Energymentioning

confidence: 99%

A review of combined economic emission dispatch for optimal power dispatch with renewable energy

Aswan

Abdullah

Bakar

2019

IJEECS

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This paper provides comprehensive review of recent formulation and solution of combined economic emission dispatch problem considering renewable energy. Generally, power dispatch plays an important role in power generation system that mainly depends on the fossil fuels. Rapid depletion of these sources cause a limitation and increase the fuel price. At the same time, the poisonous gases emit by the thermal generator causes a long term environmental pollution. An extensive researches have been conducted for last few decades by considering Renewable Energy (RE) in power generation system as an alternative source. Therefore, Combined Economic Emission Dispatch (CEED) of thermal and renewable energy resources currently formulated in power dispatch problem. The optimization methods that commonly used to solve the CEED problem are categorized as traditional method, non-conventional method and hybrid method. It can be concluded that non-conventional and hybrid method have great and superior solution for solving multiobjective economic emission dispatch problem. The recent research related to CEED with RE are summarized in terms of methods, test cases, conditions, types of RE and constraints. Thus, it can be useful references for the research in this area.

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Wind‐thermal dynamic economic emission dispatch with a hybrid multi‐objective algorithm based on wind speed statistical analysis

Cited by 31 publications

References 38 publications

A Selection Hyper-Heuristic Algorithm for Multiobjective Dynamic Economic and Environmental Load Dispatch

A Selection Hyper-Heuristic Algorithm for Multiobjective Dynamic Economic and Environmental Load Dispatch

Modified Antipredatory Particle Swarm Optimization for Dynamic Economic Dispatch with Wind Power

A review of combined economic emission dispatch for optimal power dispatch with renewable energy

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