Strength Pareto Evolutionary Algorithm for the Dynamic Economic Emission Dispatch Problem incorporating Wind Farms and Energy Storage Systems

Author:

Alqunun K.

Abstract

Intermittent and stochastic characteristics of wind energy sources cause many challenges for the existing power networks. One of these challenges is the violation of the energy balance constraint due to the high penetration of wind power. The use of Energy Storage Systems (ESS) can facilitate the high penetration of wind power and mitigate the effect of its intermittency. Within this context, ESS incorporate the Dynamic Economic Emission Dispatch (DEED) problem. The problem is formulated as a multi-objective problem and the Strength Pareto Evolutionary Algorithm (SPEA) is used for its resolution. Simulations were carried out on a well-known ten-unit system and the results show the importance of using ESS in reducing the total production cost of electricity and total emissions.

Publisher

Engineering, Technology & Applied Science Research

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Multi-Objective Optimization Design System for Rural Style Reconstruction Based on Pareto Evolutionary Algorithm;2022 IEEE 2nd International Conference on Mobile Networks and Wireless Communications (ICMNWC);2022-12-02

2. Day-ahead Coordinated Operation of a Wind-Storage System Considering Wind Forecast Uncertainty;Engineering, Technology & Applied Science Research;2021-06-10

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