Dynamic Optimal Dispatch of Combined Heating and Power Microgrid Based on Leapfrog Firefly Algorithm

被引：0

作者：

Lin, Xiaopeng ^{[1
]}

Li, Peng ^{[1
]}

Ma, Jian ^{[1
]}

Tian, Yi ^{[2
]}

Su, Dawei ^{[3
]}

机构：

[1] North China Elect Power Univ, State Key Lab Alternate Elect Power Syst Renewabl, Baoding, Peoples R China

[2] Jiangsu Elect Power Co Res Inst, Nanjing, Jiangsu, Peoples R China

[3] Jiangsu Elect Power Co, Dispatching & Control Ctr, Nanjing, Jiangsu, Peoples R China

来源：

2015 IEEE 12TH INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC) | 2015年

关键词：

combined heating and power; microgrid; dynamic optimal dispatch; leapfrog firefly algorithm;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Combined heating and power (CHP) microgrid is conducive to the realization of energy cascade utilization and meeti the users' needs with divers types of energy. With remarkable economic and environmental benefits, CHP microgrid is one of the potential development directions of smart grid. In this paper, a CHP microgrid consists of wind turbines, photovoltaic cells, microturbines, gas-fired boilers, storage batteries, heat load and electric load was selected as research object. In order to evaluate the impact of CO2, CO, NOx emission on environment, the conception of gas emission plenty cost was quoted. In consideration of the stochastic nature of renewable energy units and the fluctuation of heat load and electric load, chance constrained programing was introduced to build the model, then Monte Carlo simulation based leapfrog firefly algorithm was proposed to solve the optimization model. The simulation results verified the reasonableness and effectiveness of the model and algorithm proposed.

引用

页码：416 / 420

页数：5

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