Optimal economic load dispatch in smart grids considering uncertainty

被引:0
|
作者
Dzobo, Oliver [1 ]
Shehata, Ahmed Mokhtar [2 ]
Azimoh, Chukwuma Leonard [1 ]
机构
[1] Univ Johannesburg, Dept Elect & Elect Sci, Johannesburg, South Africa
[2] Al Azhar Univ, Fac Sci, Dept Math, Assiut, Egypt
来源
2017 IEEE AFRICON | 2017年
关键词
stochastic optimization; load demand; probability distribution function; solar photovoltaic; EMISSION DISPATCH; WIND POWER; ALGORITHM; DEMAND; SQP;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper presents a probabilistic model for optimal economic load dispatch problem to address integration of renewable energy resources into conventional power system network grid. The power generated from the solar photovoltaic (PV) array unit and load demand are recognised as random variables with given probability distribution functions. The economic load dispatch objective function is converted into an equivalent deterministic model. An iterative procedure is used to select the input values of load demand and solar PV power generation from their respective probability distribution functions. Quadratic programming technique is applied to solve the transformed deterministic model. The proposed methodology yields the probability distributions of each power generation unit cost and its respective amount of power generation. A case study is used to illustrate the applicability of the proposed methodology. Results show that the proposed approach can provide more power system management information to the power system operators and/or planners and therefore enable better decision making.
引用
收藏
页码:1277 / 1282
页数:6
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