Re: MOST example

[Carlos E Murillo-Sanchez]

To further ellucidate:  MOST was developed with lots of user options so that you can really customize it to many kinds of problems; the design decisions arose after using it ourselves in many different ways. This will probably make for a steep learning curve, but we hope that it will be useful for most people and most problems. carlos. Carlos E Murillo-Sanchez wrote: Because modeling as a dispatchable (up to Pmax) generator allows the optimization to curtail the wind intake for security reasons.  Of course, if the wind is considered must-take, you can always set Pmin=Pmax .  Modeling this way gives you more options. carlos. Bai, Wenlei wrote: Thanks Carlos. I see. That makes sense. But why not always maximizing the wind power and model it as negative PQ bus?   Wenlei   From: bounce-120538094-71172...@list.cornell.edu [mailto:bounce-120538094-71172...@list.cornell.edu] On Behalf Of Carlos E Murillo-Sanchez Sent: Friday, June 03, 2016 11:29 AM To: MATPOWER discussion forum <matpowe...@list.cornell.edu> Subject: Re: MOST example   For each time period, there can be several wind scenarios. The idea is to capture the variability of wind, given a forecast, using those plausible wind realizations.  In each scenario, the Pmax value of the wind generator varies to indicate the availability of wind for that particular scenario.  The optimization then will decide on whether to push the Pg of the wind turbine all the way to that Pmax or somewhere in between if there is a need to curtail some of the wind generation. Carlos. Bai, Wenlei wrote: Thanks Ray, I’ll try to get CPLEX. Another question about the wind power integration, do you model wind power injection as a control variable to be solved after optimization, or you model wind power injection as negative load on PQ bus since wind power can be known by forecasting under each scenario? If the wind power is control variable,  how it can be determined since we cannot control weather condition?   Best, Wenlei   From: bounce-120537672-71172...@list.cornell.edu [mailto:bounce-120537672-71172...@list.cornell.edu] On Behalf Of Ray Zimmerman Sent: Friday, June 03, 2016 9:29 AM To: MATPOWER discussion forum <matpowe...@list.cornell.edu> Subject: Re: MOST example   MOST requires a good MILP solver for UC problems. I believe that only the very latest versions of intlingprog (of the Optimization Toolbox) are up for the task. If you don’t have the latest version of Matlab (and even if you do), I would strongly recommend using Gurobi or CPLEX (free for academics) if possible.   So, I suspect the issue may be that you do not have the latest version of intlinprog. Type mpver to display the versions of all of the MATPOWER related tools installed.      Ray     On Jun 2, 2016, at 9:07 PM, Bai, Wenlei <wenlei_...@baylor.edu> wrote:   Dear Ray Thanks for releasing the latest matpower6.1 version which includes plenty of new useful tools. I was trying to run the sample codes in Section 2.3.1 of MOST manual. However it feedback me errors. I've attached it, could you take a look? Much appreciation Wenlei <MOSTerror.PNG>