scholarly journals Research on Home Energy Management Method for Demand Response Based on Chance-Constrained Programming

Energies ◽  
2020 ◽  
Vol 13 (11) ◽  
pp. 2790
Author(s):  
Xiangyu Kong ◽  
Siqiong Zhang ◽  
Bowei Sun ◽  
Qun Yang ◽  
Shupeng Li ◽  
...  
Keyword(s):  
Energy Management ◽  
Demand Response ◽  
Programming Model ◽  
Random Variables ◽  
Electrical Equipment ◽  
Smart Devices ◽  
Chance Constrained Programming ◽  
Home Energy Management ◽  
Management Method ◽  
Constrained Programming

With the development of smart devices and information technology, it is possible for users to optimize their usage of electrical equipment through the home energy management system (HEMS). To solve the problems of daily optimal scheduling and emergency demand response (DR) in an uncertain environment, this paper provides an opportunity constraint programming model for the random variables contained in the constraint conditions. Considering the probability distribution of the random variables, a home energy management method for DR based on chance-constrained programming is proposed. Different confidence levels are set to reflect the influence mechanism of random variables on constraint conditions. An improved particle swarm optimization algorithm is used to solve the problem. Finally, the demand response characteristics in daily and emergency situations are analyzed by simulation examples, and the effectiveness of the method is verified.

Chance constrained programming with some non-normal continuous random variables

OPSEARCH ◽  
2020 ◽  
Vol 57 (4) ◽  
pp. 1281-1298
Author(s):  
D. K. Mohanty ◽  
Avik Pradhan ◽  
M. P. Biswal
Keyword(s):  
Random Variables ◽  
Chance Constrained Programming ◽  
Constrained Programming

On Development of a Fuzzy Stochastic Programming Model with Its Application to Business Management

2017 ◽  
pp. 353-378
Author(s):  
Animesh Biswas ◽  
Arnab Kumar De
Keyword(s):  
Production Planning ◽  
Goal Programming ◽  
Fuzzy Numbers ◽  
Programming Model ◽  
Random Variables ◽  
Fuzzy Goal Programming ◽  
Fuzzy Random Variables ◽  
Fuzzy Goal ◽  
Constrained Programming ◽  
Fuzzy Random

This chapter expresses efficiency of fuzzy goal programming for multiobjective aggregate production planning in fuzzy stochastic environment. The parameters of the objectives are taken as normally distributed fuzzy random variables and the chance constraints involve joint Cauchy distributed fuzzy random variables. In model formulation process the fuzzy chance constrained programming model is converted into its equivalent fuzzy programming using probabilistic technique, a-cut of fuzzy numbers and taking expectation of parameters of the objectives. Defuzzification technique of fuzzy numbers is used to find multiobjective linear programming model. Membership function of each objective is constructed depending on their optimal values. Afterwards a weighted fuzzy goal programming model is developed to achieve the highest degree of each of the membership goals to the extent possible by minimizing group regrets in a multiobjective decision making context. To explore the potentiality of the proposed approach, production planning of a health drinks manufacturing company has been considered.

Sign in / Sign up

Export Citation Format

Share Document