Optimization Of Household Electricity Cost Based On PEV Storage Characteristics

In smart grid, considering demand side response management(DSM), plug-in electric vehicles(PEVs) are widely introduced into house distribution system. On one hand, this can reduce environmental pollution and save energy. On the other hand, PEV battery can be used as an energy storage device to discharge for non-shiftable loads. As a high power load, PEVs are needed reasonable charge and discharge scheduling control to avoid the increasing of peak load and household electricity costs. In order to solve these problems, this paper carried out the following researches:First, in order to solve the issues of power grid overload and energy costs increasing caused by the introduction of PEV in house distribution system, this paper adopted the principle of water filling algorithm(WF), and combined with PEV energy storage characteristics and a simple and effective price forecasting mechanism. The algorithm adjusted the shiftable loads to lowest electricity price time with adjustable period; removed PEV charging to low demand and electricity prices time at night; let PEV supply power to non-shiftable loads which are used during high demand period. Therefore, these methods could alleviate overload phenomenon of smart grid and reduce home energy costs.Second, on the basis of WF principles algorithm with the characteristics of PEV charging and discharging, it will affect the service life of PEV battery. And PEV battery replacement is expensive, it will reduce the service life of the battery and increase energy costs if its not be reasonably using. On the above analysis, this paper puts forward a household electricity algorithm based on the state of PEV battery SOC. This algorithm combined with PEV battery SOC and the service life of battery. Then the electric cost optimization model is set up to access the battery discharge threshold and the optimal discharge points. After the return of PEV, users could choose the appropriate electricity strategy in view of the discharge number. With reasonable and effective using of PEV charging and discharging characteristics, while reducing electricity costs as much as possible to extend the service life of PEV battery.Then, on electricity strategy of a single family, this paper puts forward a distributed algorithm based on demand side response management with Nash equilibrium game theory. The algorithm optimizes the multi-user power electricity strategy to maximize the common interests. The proposed strategy is based on the interaction between users. The distributed algorithm only requires user try to maximize the individual benefit, interact information with the game theory to achieve mutual benefits under the premise of without sacrificing any user’s benefit. Combined with PEV energy storage characteristics, we make coordinated control for users’ electricity strategy to minimize energy consumption cost and PAR.