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In order to solve the smart home electricity load optimization problem, this paper firstly analyzes the situation of smart home optimization frame and estimates the smart home electricity load model. The electricity load optimization control model is established to achieve the aim of helping smart family to minimize the electricity consumption. Furthermore, the simulation results for the example in this paper verify the effectiveness and validity of the model. Introduction With the gradual deepening of the electricity reform, optimizing the allocation of grid resource and improving the operational efficiency of the electricity market are crucial for the reform of electricity industry. For the average home users, they prefer to concern about how to control household load and manage home energy to reduce the energy consumption and the cost of electricity according to the real-time pricing. And for the electricity market, realizing the target of peak load shifting in the implementation of demand response programs is one of the key problems in the future. Therefore, specific to the smart home, to achieve electricity load optimization is very meaningful. Firstly we estimate the smart home electricity load model after the brief analysis. To realize the minimum of electricity cost, the electricity load optimization control model is established. And we set examples to verify the effectiveness and applicability of the model. Smart home electricity load model In real-time pricing programs, it is assumed that each user wants to optimize the energy structure in the next n hours.Define A as electrical equipment set, which may include washing machine, dryer, refrigerator, hybrid car and so on. Each electrical equipment can be seen as A ∈ a .The user needs to set up the demand for electricity in advance. So ea refers to the electricity consumption of electrical equipment a in the n hour. We use ma to describe the starting time of electrical equipment a and na to describe the end time. We define Ea as the energy consumption to run one time, which can be describe as the following formula: [ ] a a a n m n a n m n E e a a , , ∈ ∀ = ∑ (1) In general, each electrical appliance has a certain operating power in a limited range. The power constraint can be expressed as follow, which describes the upper and lower electricity consumption bounds of electrical equipment a. [ ] a a n a n m n l e l , , / / max a min a ∈ ∀ ≤ ≤ β β (2) The total electric power of each smart home has a certain upper limit, therefore there is a restriction for electricity consumption: L n l E e A n a ∈ ∀ ≤ ∑ ∈ , / max a (3) We can describe the general behavior of electrical equipment using the following formula set: 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer (MMEBC 2016) © 2016. The authors Published by Atlantis Press 984

Optimization for Smart Home Electricity Load Based on Real-time Pricing Environment