Abstract
A multi-objective optimization model for multiple home users intelligent power management and control is proposed. A photovoltaic power model, an electric vehicle battery model and a load model are developed first, and then a strategy of home intelligent power management is presented based on battery operation and PV spontaneous self-use. Secondly, a multi-objective optimization model of multiple home users intelligent power management, including the user comfort, economy and optimization of load curve, is provided under the constraints. Then using a multi-objective optimization algorithm and Nash equilibrium game theory to solve the multi-objective problem. Finally, the 100-home power management and control simulation case show that the presented algorithm can improve the comfort and the economy of users effectively, but also help the power grid to peak load shifting.
Highlights
In recent years, with the popularization and development of distributed generation supply and electric vehicle, many scholars have launched research on all aspects of the active distribution network [1, 2]
How to realize efficient management and control of multiple home users based on active distribution network is a question worthy of discussion
The rapid development of active distribution network, more distributed generation and electric vehicle access to home users, which increase the complexity of home energy management system (HEMS)
Summary
With the popularization and development of distributed generation supply and electric vehicle, many scholars have launched research on all aspects of the active distribution network [1, 2]. How to realize efficient management and control of multiple home users based on active distribution network is a question worthy of discussion. In developing power plans, [5] taking the diversity of user requirements and multiple characteristics of home users into account, set the optimal scheduling model for different optimization targets. [6] was proposed a method of converting the user comfort to electricity cost, and introduced an effective management strategy for battery charging and discharging. The rapid development of active distribution network, more distributed generation and electric vehicle access to home users, which increase the complexity of home energy management system (HEMS). This paper builds a multi-objective optimization model for multiple home user management and control based on active distribution network. The neighbour immune algorithm non-dominated multi-objective optimization algorithm (NNIA) based on Pareto Nash equilibrium is proposed to solve the problem
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