rowBalance.h

/*
** Copyright 2007-2024, RTE (https://www.rte-france.com)
** See AUTHORS.txt
** SPDX-License-Identifier: MPL-2.0
** This file is part of Antares-Simulator,
** Adequacy and Performance assessment for interconnected energy networks.
**
** Antares_Simulator is free software: you can redistribute it and/or modify
** it under the terms of the Mozilla Public Licence 2.0 as published by
** the Mozilla Foundation, either version 2 of the License, or
** (at your option) any later version.
**
** Antares_Simulator is distributed in the hope that it will be useful,
** but WITHOUT ANY WARRANTY; without even the implied warranty of
** MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
** Mozilla Public Licence 2.0 for more details.
**
** You should have received a copy of the Mozilla Public Licence 2.0
** along with Antares_Simulator. If not, see <https://opensource.org/license/mpl-2-0/>.
*/
#ifndef __SOLVER_VARIABLE_ECONOMY_RowBalance_H__
#define __SOLVER_VARIABLE_ECONOMY_RowBalance_H__
 
#include <antares/study/area/constants.h>
#include "antares/solver/variable/variable.h"
 
namespace Antares
{
namespace Solver
{
namespace Variable
{
namespace Economy
{
struct VCardRowBalance
{
    static std::string Caption()
    {
        return "ROW BAL.";
    }
 
    static std::string Unit()
    {
        return "MWh";
    }
 
    static std::string Description()
    {
        return "Row Balance";
    }
 
    typedef Results<R::AllYears::Raw< // The raw values
      >>
      ResultsType;
 
    typedef VCardRowBalance VCardForSpatialAggregate;
 
    static constexpr uint8_t categoryDataLevel = Category::DataLevel::area;
    static constexpr uint8_t categoryFileLevel = ResultsType::categoryFile
                                                 & (Category::FileLevel::id
                                                    | Category::FileLevel::va);
    static constexpr uint8_t precision = Category::all;
    static constexpr uint8_t nodeDepthForGUI = +0;
    static constexpr uint8_t decimal = 0;
    static constexpr int columnCount = 1;
    static constexpr uint8_t spatialAggregate = Category::spatialAggregateSum;
    static constexpr uint8_t spatialAggregateMode = Category::spatialAggregateOnce;
    static constexpr uint8_t spatialAggregatePostProcessing = 0;
    static constexpr uint8_t hasIntermediateValues = 1;
    static constexpr uint8_t isPossiblyNonApplicable = 0;
 
    typedef IntermediateValues IntermediateValuesType;
    typedef IntermediateValues IntermediateValuesBaseType;
 
    typedef IntermediateValuesBaseType* IntermediateValuesTypeForSpatialAg;
 
}; // class VCard
 
template<class NextT = Container::EndOfList>
class RowBalance: public Variable::IVariable<RowBalance<NextT>, NextT, VCardRowBalance>
{
public:
    typedef NextT NextType;
    typedef VCardRowBalance VCardType;
    typedef Variable::IVariable<RowBalance<NextT>, NextT, VCardType> AncestorType;
 
    typedef typename VCardType::ResultsType ResultsType;
 
    typedef VariableAccessor<ResultsType, VCardType::columnCount> VariableAccessorType;
 
    enum
    {
        count = 1 + NextT::count,
    };
 
    template<int CDataLevel, int CFile>
    struct Statistics
    {
        enum
        {
            count = ((VCardType::categoryDataLevel & CDataLevel
                      && VCardType::categoryFileLevel & CFile)
                       ? (NextType::template Statistics<CDataLevel, CFile>::count
                          + VCardType::columnCount * ResultsType::count)
                       : NextType::template Statistics<CDataLevel, CFile>::count),
        };
    };
 
public:
    ~RowBalance()
    {
    }
 
    void initializeFromStudy(Data::Study& study)
    {
        // Average on all years
        InitializeResultsFromStudy(AncestorType::pResults, study);
 
        // Intermediate values
        pValuesForTheCurrentYear.initializeFromStudy(study);
 
        // Next
        NextType::initializeFromStudy(study);
    }
 
    template<class R>
    static void InitializeResultsFromStudy(R& results, Data::Study& study)
    {
        VariableAccessorType::InitializeAndReset(results, study);
    }
 
    void initializeFromArea(Data::Study* study, Data::Area* area)
    {
        // Copy raw values
        unsigned int height = area->miscGen.height;
        (void)::memcpy(pValuesForTheCurrentYear.hour,
                       area->miscGen.entry[Data::fhhRowBalance],
                       sizeof(double) * height);
 
        if (study->parameters.mode == Data::SimulationMode::Adequacy)
        {
            for (unsigned int h = 0; h != height; ++h)
            {
                pValuesForTheCurrentYear.hour[h] -= area->reserves
                                                      .entry[Data::fhrPrimaryReserve][h];
            }
        }
        // Compute all statistics for the current year (daily,weekly,monthly)
        pValuesForTheCurrentYear.computeStatisticsForTheCurrentYear();
 
        // Merge all those values with the global results
        AncestorType::pResults.merge(0, pValuesForTheCurrentYear);
 
        // Next
        NextType::initializeFromArea(study, area);
    }
 
    void initializeFromLink(Data::Study* study, Data::AreaLink* link)
    {
        // Next
        NextType::initializeFromAreaLink(study, link);
    }
 
    void simulationBegin()
    {
        // Next
        NextType::simulationBegin();
    }
 
    void simulationEnd()
    {
        NextType::simulationEnd();
    }
 
    void yearBegin(unsigned int year, unsigned int numSpace)
    {
        // Next variable
        NextType::yearBegin(year, numSpace);
    }
 
    void yearEndBuild(State& state, unsigned int year, unsigned int numSpace)
    {
        // Next variable
        NextType::yearEndBuild(state, year, numSpace);
    }
 
    void yearEnd(unsigned int year, unsigned int numSpace)
    {
        // Next variable
        NextType::yearEnd(year, numSpace);
    }
 
    void computeSummary(std::map<unsigned int, unsigned int>& numSpaceToYear,
                        unsigned int nbYearsForCurrentSummary)
    {
        // Next variable
        NextType::computeSummary(numSpaceToYear, nbYearsForCurrentSummary);
    }
 
    void hourBegin(unsigned int hourInTheYear)
    {
        // Next variable
        NextType::hourBegin(hourInTheYear);
    }
 
    void hourForEachArea(State& state, unsigned int numSpace)
    {
        // Next variable
        NextType::hourForEachArea(state, numSpace);
    }
 
    void localBuildAnnualSurveyReport(SurveyResults& results,
                                      int fileLevel,
                                      int precision,
                                      unsigned int) const
    {
        // Initializing external pointer on current variable non applicable status
        results.isCurrentVarNA = AncestorType::isNonApplicable;
 
        if (AncestorType::isPrinted[0])
        {
            // Write the data for the current year
            results.variableCaption = VCardType::Caption();
            results.variableUnit = VCardType::Unit();
            pValuesForTheCurrentYear.template buildAnnualSurveyReport<VCardType>(results,
                                                                                 fileLevel,
                                                                                 precision);
        }
    }
 
private:
    typename VCardType::IntermediateValuesType pValuesForTheCurrentYear;
 
}; // class RowBalance
 
} // namespace Economy
} // namespace Variable
} // namespace Solver
} // namespace Antares
 
#endif // __SOLVER_VARIABLE_ECONOMY_RowBalance_H__