solve ehubmpc for "cost-optimal" control in energyhub with storage(i.e. battery, ice storage) or/and production(i.e. PV, wind turbine) units
ehubmpc
| N | prediction horizon |
|---|---|
| Tsim | simulation horizon; Tsim >= N |
| obj | control purpose; obj should be one of "cost" or "comfort". "cost" means "cost-optimal" econimic mpc while "comfort" means temperature/humidity control. Different value respresents different objective in linear programming |
| cost | electricity price; it should be a matrix of electricity price whether the price is changed or not |
| ymin/ymax | lower/upper limit of temperature/humidity; a matrix |
| yref | reference y, i.e. temperature setpoint; a matrix |
| ECR | penalty factor for slack variable s; default 1e6 |
| umax/umin | lower/upper limits of heating/cooling power |
| unit.index | a vector indicates whether storage or production units exist or not. Default value is c(1,0), which means there is storage unit without production unit. |
| control | ecos.control; control parameters for ECOS solver. More details can be seen in ECOSolver package |
list of equipment power(U),temperature values(Y),battery charge/discharge power(Ub), net electricity power(E), battery capacity(Xb)
Two battery kinds, namely simple model and lead-acid battery model are support at present.
#model <- ehubmpc$new() #model$initialize() #model$set_parameters(N,Tsim,obj,cost,ymin,ymax,yref,ECR,umax,umin) #model$print_para() #model$set_mpc_constraint() #model$solve_mpc(unit.index = c(1,0),control = ecos.control())