Demand-Side Energy Management Based on Nonconvex Optimization in Smart Grid

Kai Ma, Yege Bai, Jie Yang, Yangqing Yu and Qiuxia Yang
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Kai Ma: School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China
Yege Bai: School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China
Jie Yang: School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China
Yangqing Yu: School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China
Qiuxia Yang: School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China

Energies, 2017, vol. 10, issue 10, 1-17

Abstract: Demand-side energy management is used for regulating the consumers’ energy usage in smart grid. With the guidance of the grid’s price policy, the consumers can change their energy consumption in response. The objective of this study is jointly optimizing the load status and electric supply, in order to make a tradeoff between the electric cost and the thermal comfort. The problem is formulated into a nonconvex optimization model. The multiplier method is used to solve the constrained optimization, and the objective function is transformed to the augmented Lagrangian function without constraints. Hence, the Powell direction acceleration method with advance and retreat is applied to solve the unconstrained optimization. Numerical results show that the proposed algorithm can achieve the balance between the electric supply and demand, and the optimization variables converge to the optimum.

Keywords: demand-side energy management; multiplier method; Powell direction acceleration method; advance and retreat method; thermal comfort (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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