Regional heuristic interval recourse power system analysis for electricity and environmental systems planning in Eastern China

被引：14

作者：

Huang, Runya ^{[1
]}

Huang, Guohe ^{[1
,2
,3
]}

Cheng, Guanhui ^{[3
]}

Dong, Cong ^{[3
]}

机构：

[1] North China Elect Power Univ, S&C Resources & Environm Res Acad, MOE Key Lab Reg Energy Syst Optimizat, Beijing 102206, Peoples R China

[2] Univ Regina, Fac Engn & Appl Sci, Regina, SK S4S 0A2, Canada

[3] Univ Regina, Inst Energy Environm & Sustainable Communities, 3737 Wascana Pkwy, Regina, SK S4S 0A2, Canada

来源：

RESOURCES CONSERVATION AND RECYCLING | 2017年 / 122卷

关键词：

Electricity and environmental systems; Artificial neural network; Interval recourse linear programming; Eastern China; DYNAMIC OPTIMIZATION APPROACH; BUILDING ENERGY-CONSUMPTION; FUZZY-PROGRAMMING APPROACH; ARTIFICIAL NEURAL-NETWORK; PREDICTION; MANAGEMENT; MODEL; UNCERTAINTY; SIMULATION; ANN;

D O I：

10.1016/j.resconrec.2017.01.009

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

In some cases such as the power grid in eastern China, a regional power system analysis is confronted with multiple challenges: dynamics of electricity demands, nonlinearity of the relationship between these demands and influencing factors, fluctuation of system features, risks of resource unavailabilities, spatial heterogeneities of power supplies and demands, dynamical diversity and interactions of system components, and the multi-layer interactions of these challenges. In order to address these challenges, a regional heuristic interval recourse power system analysis (RHIRPSA) method is developed in this study and applied to electricity and environmental systems planning in eastern china. RHIRPSA can predict electricity demands effectively, and allow for incorporation of interval uncertainties into the optimization process and solutions in electricity systems. The objective is to maximize system profits under constraints of resources availability and environmental regulations. Three scenarios are considered to reflect the influence of different emission reduction policies on power generation and power dispatching. The results indicate that reasonable decision alternatives are generated. This study is helpful for (a) facilitating electricity consumption estimation, (b) providing reliable electricity systems management schemes to guide activities such as electricity-conversion technological development, capacity expansion and electricity allocation, (c) mitigating conflicts and interactions among economic profits, electricity generation patterns, air pollution emission control and system reliability, and (d) identifying the desired strategies for improving air quality in eastern China through optimizing the economic and environmental protection measures under policies of air pollution emission reduction. (C) 2017 Elsevier B.V. All rights reserved.

引用

页码：185 / 201

页数：17

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