Comparison of modeling methods of dynamic economic dispatch with stochastic wind power integration

This paper proposed an issue aiming at the goal of pierces the relationship between the emission trading scheme and dynamic economic dispatch (DED) problem for the electricity utility. A model of the CO2 emission trading market will be investigated and introduced into DED problem incorporating wind power plant and independent power providers (IPPs). Then, an accelerated particle swarm optimization (APSO) algorithm is introduced in order to avoid prematurity convergence of the original PSO and improve searching efficiency. Thus, APSO was used to determine the DED strategy of the utility with incorporation of wind power generation and contribution of IPPs. The CO2 emission trading is treated as the inner-cost, and the superfluous CO2 quotas will be resale into the market, whereas the shortage quotas can be purchased from the market.

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Artificial Bee Colony Algorithm to Solve Dynamic Economic Dispatch Considering Wind Power Penetration

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.416-417.2092 ◽

2013 ◽

Vol 416-417 ◽

pp. 2092-2096

Author(s):

Xi He ◽

Gao Xia Wang

Keyword(s):

Wind Power ◽

Artificial Bee Colony Algorithm ◽

Artificial Bee Colony ◽

Economic Dispatch ◽

Integrated System ◽

Swarm Optimization ◽

Abc Algorithm ◽

Reasonable Time ◽

Bee Colony ◽

Dynamic Economic Dispatch

This paper use artificial bee colony algorithm (ABC) to solve dynamic economic dispatch (DED) problem in wind power integrated system for generating units with value-point effect and system-related constrains. The feasibility of the proposed method is validated with ten-unit-test systems for a period of 6 and 24 hours respectively. The effectiveness and feasibility of the artificial bee colony algorithm are demonstrated by comparing its performance with improved particle swarm optimization. Numerical results show that the ABC algorithm can provide accurate dispatch solutions within reasonable time for certain type of fuel cost functions.

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Dynamic Economic Dispatch for Wind Power System Considering System Security and Spinning Reserve

Journal of Power and Energy Engineering ◽

10.4236/jpee.2015.34046 ◽

2015 ◽

Vol 03 (04) ◽

pp. 342-347

Author(s):

Wangchao Dong ◽

Jing Zhang ◽

Jiejie Huang ◽

Shenghu Li

Keyword(s):

Power System ◽

Wind Power ◽

Economic Dispatch ◽

System Security ◽

Spinning Reserve ◽

Wind Power System ◽

Dynamic Economic Dispatch

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Dynamic Economic Dispatch in Thermal-Wind-Small Hydropower Generation System

MATEC Web of Conferences ◽

10.1051/matecconf/201824601085 ◽

2018 ◽

Vol 246 ◽

pp. 01085

Author(s):

Guangbiao Liu ◽

Jianzhong Zhou ◽

Xiaogang Xiao ◽

Li Mo ◽

Yang Yuqi ◽

...

Keyword(s):

Differential Evolution ◽

Wind Power ◽

Economic Dispatch ◽

Differential Evolution Algorithm ◽

Small Hydropower ◽

Hydro Power ◽

Thermal Wind ◽

Hydropower System ◽

Evolution Algorithm ◽

Dynamic Economic Dispatch

With the large-scale wind power integration, the uncertainty of wind power poses a great threat to the safe and stable operation of the system. This paper proposes dynamic economic dispatch problem formulation in thermal power system incorporating stochastic wind and small-hydro (run-in-river) power, called thermal-wind-small hydropower system (TWSHS). Weibull and Gumbel probability density functions are used to calculate available wind and small-hydro power respectively. An improved differential evolution algorithm based on gradient descent information (DE-GD) is proposed to solve the dynamic economic dispatch (DED) problem considering uncertainty of wind power and small-hydro power, as well as complicated constraints in TWSHS. Based on the traditional differential evolution algorithm, the gradient information of the objective function is introduced after the mutation process to enrich the diversity of the population, thus increasing the possibility of convergence to the global optimization. Generation scheduling is simulated on a TWSHS with the proposed approach. Simulation results verify feasibility and effectiveness of the proposed method while considering various complex constraints in the thermal-windsmall hydropower system.

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