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Environmental Economic Dynamic Dispatch Modelling and Simulation Including Wind Farms


Affiliations
1 School of Electric Engineering, University of South China, Hengyang, 421001, Hunan, China
2 Mechanical and Electrical Engineering Department, Shenzhen Polytechnic, Shenzhen, 518057, Guangdong, China
 

Large-scale integration of wind power has brought profound challenge to traditional power generation dispatch. It becomes necessary to effectively coordinate the operation of wind power and traditional power sources. Traditional economic dispatch to minimize the fuel cost no longer meets the need for environmental protection when emission reduction is mandatory. Based on the optimal dispatch in traditional power system, the concept of "energy-environmental efficiency" was introduced to modify the optimal dispatch model in wind power integrated system, and the multi-objective optimal dispatch model was proposed on the basis of comprehensively considering the minimum of the resource consumption, the best energy-environmental efficiency and the highest system stability. A hybrid particle swarm and simulated annealing optimization algorithm with fuzzy technology was presented to solve the optimization model. Compared with traditional economic dispatch, the model proposed in this paper is reasonable and can better protect the ecological environment.

Keywords

Environmental Protection, Particle Swarm, Simulated Annealing, Fuzzy Technology.
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  • Environmental Economic Dynamic Dispatch Modelling and Simulation Including Wind Farms

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Authors

Yuhong Zhao
School of Electric Engineering, University of South China, Hengyang, 421001, Hunan, China
Yunhui Zhang
Mechanical and Electrical Engineering Department, Shenzhen Polytechnic, Shenzhen, 518057, Guangdong, China
Jinyun Guang
School of Electric Engineering, University of South China, Hengyang, 421001, Hunan, China

Abstract


Large-scale integration of wind power has brought profound challenge to traditional power generation dispatch. It becomes necessary to effectively coordinate the operation of wind power and traditional power sources. Traditional economic dispatch to minimize the fuel cost no longer meets the need for environmental protection when emission reduction is mandatory. Based on the optimal dispatch in traditional power system, the concept of "energy-environmental efficiency" was introduced to modify the optimal dispatch model in wind power integrated system, and the multi-objective optimal dispatch model was proposed on the basis of comprehensively considering the minimum of the resource consumption, the best energy-environmental efficiency and the highest system stability. A hybrid particle swarm and simulated annealing optimization algorithm with fuzzy technology was presented to solve the optimization model. Compared with traditional economic dispatch, the model proposed in this paper is reasonable and can better protect the ecological environment.

Keywords


Environmental Protection, Particle Swarm, Simulated Annealing, Fuzzy Technology.